Current ride sharing services are not financially sustainable. Although they provide more convenience than do taxi services, they are experiencing massive losses because they have the same cost structure as do taxis and thus must compete through subsidies and lower wages. After all, they use the same vehicles, roads, and drivers, and only GPS algorithms and phones are new.
They also increase congestion. Just as more private vehicles or taxis on the road will increase congestion, more ride sharing vehicles also increase congestion.
These slides describe new ways to use the technologies of ride sharing to reduce congestion along with costs while at the same time keeping travel time low. This can be done through changing public transportation systems or allowing private companies to offer competing services. For instance, current bus services, whether they are private or public, need to use the algorithms, GPS, phones and other technologies of ride sharing to revise routes, schedules and the premises that currently underpin public transportation. There is no reason a bus should be certain size, stop every 200 meters, or follow the same route all day. Algorithms and phones enable new types of routes in which designers simultaneously minimize time travel and maximize number of passengers transported per vehicle.hour.
Client wants to build a mobile application similar to existing Android App of VU Cabs with delightful booking experience for customers like - Easy Onboarding, Quick Bookings, Real Time Updates, Seamless Payments, Security & Ratings.
Ride sharing app (Taxi Booking App) - This is an app similar to Uber or any other cab booking applications. It provides a secure and hassle-free platform for Passengers to find & book their rides. Drivers can use this app for finding nearby trips and communicating with passengers. Interested to develop a similar Ride sharing app like Uber? Drop an email to us at business@techcronus.com
Almost every other person have once faced
rejection from an arrogant auto/taxi driver.
Now, who has the time to search,
convince and bargain with the driver
when you are already late for a meeting or to catch your train?
However, every person these days prefers a comfortable ride over the tiny auto rickshaws/ crowded
buses to their destination.
With the massive progression in traditional Industries,
there is a great solution available for the people which
help to eliminate all the hassle of travelling.
The On-demand Cab Booking app is the modern solution for all the travel problems.
Client wants to build a mobile application similar to existing Android App of VU Cabs with delightful booking experience for customers like - Easy Onboarding, Quick Bookings, Real Time Updates, Seamless Payments, Security & Ratings.
Ride sharing app (Taxi Booking App) - This is an app similar to Uber or any other cab booking applications. It provides a secure and hassle-free platform for Passengers to find & book their rides. Drivers can use this app for finding nearby trips and communicating with passengers. Interested to develop a similar Ride sharing app like Uber? Drop an email to us at business@techcronus.com
Almost every other person have once faced
rejection from an arrogant auto/taxi driver.
Now, who has the time to search,
convince and bargain with the driver
when you are already late for a meeting or to catch your train?
However, every person these days prefers a comfortable ride over the tiny auto rickshaws/ crowded
buses to their destination.
With the massive progression in traditional Industries,
there is a great solution available for the people which
help to eliminate all the hassle of travelling.
The On-demand Cab Booking app is the modern solution for all the travel problems.
Analysis UBER's strategy.
1. Define the problem UBER has tried to solve. (from both supplier and consumer's points of view)
2. Transportation industry(Taxi) before UBER
3. How UBER business actually works
4. Their international strategy
5. Five forces analysis
6. Challenges and suggestions
RideConnect is the only app that lets you create your own rideshare.
Using RideConnect, any car service driver can quickly and easily setup their rideshare community and start offering rides to their customers.
RideConnect emphasizes privacy and safety for its users. Riders have to explicitly include drivers into their communities before they can rideshare together.
Over 70% employees name "office commuting" to be their biggest daily problem. Most organizations providing cabs report this as one of their top 5 costs.
There is a simple solution to both these problems -- "Carpooling" or better still "Ride-sharing".
Traditional carpooling does not work and has practical limitations of dependency on single car-owner/passenger, binding commitments and messy payments.
Orahi's ride-sharing system is an advanced form of carpooling which solves all traditional carpooling problems. Employees share rides amongst themselves through a completely automated system. No binding weekly or monthly commitments & instant per ride payments.
This case-study done by us represent two important facts:
1> Over 70% of employees (in this organization) save money with ride-sharing
2> Ride sharing through Orahi is more convenient than any other form of daily commuting
Further, organizations reduce a huge cost as well.
From our experience of working with 21,000+ employees, just a general carpooling website (inter or intra company) is not enough. A lot more needs to be done to adapt the carpooling model to user behaviour.
Reach out to us if you think carpooling/ride-sharing can help you or your organization.
Call us @ +91-8800701166 or email us at info@orahi.com
How is Ola Cabs bridging the gap between Supply and Demand in the transport industry? Can the Uberization model sustain itself in the long term? How do they even make money? Click this presentation to learn it all.
Start your Uber Clone Business Immediately. USA, UK, India. Say Bye to Expensive Taxi App Development Company, Introducing low cost Uber Clone App. Launch your Uber Clone App in Just 48 hours with all Uber Features and Functionalities, be No: 1 to build a Delightful Uber Clone App. Contact us now to become next uber
Taxi App Development Company, our mobile taxi app developers serving custom taxi booking app development and a ready made taxi booking app solution for your taxi cab company to grow and expand business.
UBER-Current Strategy, Competition Analysis and Global ExpansionShaminder Saini
UBER Worldwide, Business Proposition, Funding Mechanism, Taxi Industry Impact, Porter's Five Forces, PESTEL Analysis, BCG Matrix, SWOT, Levels of Service, Customer Engagement, Value Proposition, Disruptive Strategies, Global Expansion
Multiple Passenger Ride Sharing Changes Economics of CommutingJeffrey Funk
While Uber has challenged taxi drivers, multiple passenger ride sharing service can give us the both of best worlds: short travel times and low prices. They can provide the low prices of public transport with the short travel times of private cars or single passenger taxis. Different than Uber Pool or other crowd sourcing services, the key is for the startup to guarantee both short travel times and low prices, even if demand does not initially exist. This can be be done by having better data on the starting and ending points of travelers, which enables us to identify high demand routes and times and thus enable services that have few stops. The fewer stops enable short transit times and the multiple passengers in cars, vans, or mini-buses can reduce costs.
Improvements in information technology related technologies are encouraging and enabling greater use of public transportation and they are enabling new forms of transportation systems that have lower carbon emissions and use less resources. Improvements in information-related technologies such as mobile phones and GPS encourage greater use of public buses, bicycle sharing systems, and trains. These same improvements are making autonomous vehicles economically feasible and roads dedicated to them. Roads dedicated to them can reduce congestion, increase fuel efficiency, and reduce accidents and costs related to them. In combination with public transportation, autonomous vehicles can reduce the need for private vehicles and thus parking spaces. Similar types of improvements in power electronics are reducing the cost and improving the performance of charging stations and thus enable more rapid recharging with a denser number of charging stations. This rapid and more frequent recharging can overcome the existing bottleneck of lower battery storage densities and slow improvements in these storage densities. Overall, improvements in information technology are making possible new forms of sustainable systems that have a much higher chance of becoming economically feasible than more commonly discussed solutions such as hybrid vehicles and wind turbines.
Analysis UBER's strategy.
1. Define the problem UBER has tried to solve. (from both supplier and consumer's points of view)
2. Transportation industry(Taxi) before UBER
3. How UBER business actually works
4. Their international strategy
5. Five forces analysis
6. Challenges and suggestions
RideConnect is the only app that lets you create your own rideshare.
Using RideConnect, any car service driver can quickly and easily setup their rideshare community and start offering rides to their customers.
RideConnect emphasizes privacy and safety for its users. Riders have to explicitly include drivers into their communities before they can rideshare together.
Over 70% employees name "office commuting" to be their biggest daily problem. Most organizations providing cabs report this as one of their top 5 costs.
There is a simple solution to both these problems -- "Carpooling" or better still "Ride-sharing".
Traditional carpooling does not work and has practical limitations of dependency on single car-owner/passenger, binding commitments and messy payments.
Orahi's ride-sharing system is an advanced form of carpooling which solves all traditional carpooling problems. Employees share rides amongst themselves through a completely automated system. No binding weekly or monthly commitments & instant per ride payments.
This case-study done by us represent two important facts:
1> Over 70% of employees (in this organization) save money with ride-sharing
2> Ride sharing through Orahi is more convenient than any other form of daily commuting
Further, organizations reduce a huge cost as well.
From our experience of working with 21,000+ employees, just a general carpooling website (inter or intra company) is not enough. A lot more needs to be done to adapt the carpooling model to user behaviour.
Reach out to us if you think carpooling/ride-sharing can help you or your organization.
Call us @ +91-8800701166 or email us at info@orahi.com
How is Ola Cabs bridging the gap between Supply and Demand in the transport industry? Can the Uberization model sustain itself in the long term? How do they even make money? Click this presentation to learn it all.
Start your Uber Clone Business Immediately. USA, UK, India. Say Bye to Expensive Taxi App Development Company, Introducing low cost Uber Clone App. Launch your Uber Clone App in Just 48 hours with all Uber Features and Functionalities, be No: 1 to build a Delightful Uber Clone App. Contact us now to become next uber
Taxi App Development Company, our mobile taxi app developers serving custom taxi booking app development and a ready made taxi booking app solution for your taxi cab company to grow and expand business.
UBER-Current Strategy, Competition Analysis and Global ExpansionShaminder Saini
UBER Worldwide, Business Proposition, Funding Mechanism, Taxi Industry Impact, Porter's Five Forces, PESTEL Analysis, BCG Matrix, SWOT, Levels of Service, Customer Engagement, Value Proposition, Disruptive Strategies, Global Expansion
Multiple Passenger Ride Sharing Changes Economics of CommutingJeffrey Funk
While Uber has challenged taxi drivers, multiple passenger ride sharing service can give us the both of best worlds: short travel times and low prices. They can provide the low prices of public transport with the short travel times of private cars or single passenger taxis. Different than Uber Pool or other crowd sourcing services, the key is for the startup to guarantee both short travel times and low prices, even if demand does not initially exist. This can be be done by having better data on the starting and ending points of travelers, which enables us to identify high demand routes and times and thus enable services that have few stops. The fewer stops enable short transit times and the multiple passengers in cars, vans, or mini-buses can reduce costs.
Improvements in information technology related technologies are encouraging and enabling greater use of public transportation and they are enabling new forms of transportation systems that have lower carbon emissions and use less resources. Improvements in information-related technologies such as mobile phones and GPS encourage greater use of public buses, bicycle sharing systems, and trains. These same improvements are making autonomous vehicles economically feasible and roads dedicated to them. Roads dedicated to them can reduce congestion, increase fuel efficiency, and reduce accidents and costs related to them. In combination with public transportation, autonomous vehicles can reduce the need for private vehicles and thus parking spaces. Similar types of improvements in power electronics are reducing the cost and improving the performance of charging stations and thus enable more rapid recharging with a denser number of charging stations. This rapid and more frequent recharging can overcome the existing bottleneck of lower battery storage densities and slow improvements in these storage densities. Overall, improvements in information technology are making possible new forms of sustainable systems that have a much higher chance of becoming economically feasible than more commonly discussed solutions such as hybrid vehicles and wind turbines.
ROBIN CHASE
Author, "Peers Inc: How People and Platforms are Inventing the Collaborative Economy and Reinventing Capitalism"
She is co-founder and former CEO of Zipcar, the largest carsharing company in the world; Buzzcar, a peer to peer carsharing service in France; and GoLoco, an online ridesharing community. She is also co-founder of Veniam, a vehicle communications company building the networking fabric for the Internet of Moving Things.
Under-appreciated and neglected urban transport policy opportunities (and ref...Paul Barter
Presentation to 6 May 2009 event in Singapore organised by the Land Transport Authority (LTA), the Asian Development Bank (ADB) and the Centre for Liveable Cities (CLC).
Forget last mile travel - a new modality rising!Peter Biczók
First and last mile transport discussion is outdated. The Dutch national transport model shows that once passengers can rely on a bike hire system at the activity end of the trip, the attractiveness of transit soars. A new, interdependent! modality, bike-transit has been established that is more attractive and more socio-economical that the (automated) private car.
2017 Autonomous Vehicle Presentation Package Michael Scheno
This exclusive package includes presentations by Annabel R. Chang, Director of Public Policy at Lyft, Glen DeVos, Vice President – Engineering at Delphi, and Sam Abuelsamid, Senior Research Analyst at Navigant Research.
This report looks at the disruptive potential of automated vehicles: their impact on commuters, car companies, vehicle design and urban planning. It warns of the potential dangers of their unbridled proliferation and prerequisites to their effective deployment.
The "Unproductive Bubble:" Unprofitable startups, small markets for new digit...Jeffrey Funk
This article will show that the current bubble has produced few profitable startups and involved few if any new digital technologies, nor technologies involving recent scientific advances, and thus it is unlikely that much that is productive will be left once the dust settles. There is a growth in old technologies such as e-commerce but little in new technologies such as AI. The startup losses are also much larger than in the past suggesting that fewer of today’s startups will still exist in a few years than those of 20 years ago.
Commercialization of Science: What has changed and what can be done to revit...Jeffrey Funk
This paper several changes that I believe may have reduced America’s ability to develop science-based technologies. I make no claims about the completeness. I begin with the growth of university research and then cover several changes it engendered, including an obsession with papers, hyper-specialization of researchers, and huge bureaucracies, also using the words of Nobel Laureates and other scientists to make my points.
2000, 2008, 2022: It is hard to avoid the parallels How Big Will the 2022 S...Jeffrey Funk
These slides summarize the recent share price declines for new startups, declines that are driven by huge annual and cumulative losses and it contrasts today's bubble with those of 2000 and 2008. It shows that today's bubble involves bigger startup losses than those of the 2000 bubble and that the markets of new technologies have not grown to the extent that those of past decades did. Many hedge funds, VCs, and pension funds are heavily invested in these startups. Some of them are also highly leveraged.
The Slow Growth of AI: The State of AI and Its ApplicationsJeffrey Funk
The failure of IBM Watson, disappointments of self-driving vehicles, slow diffusion of medical imaging, small markets for AI software, and scorching criticisms of Google’s research papers provide evidence for hype and disappointment in AI, which is consistent with negative social impact of Big Data and AI algorithms. There are some successes, but they are much smaller than the predictions, with virtual applications (advertising, news, retail sales, finance and e-commerce) having the largest success, building from previous Big Data usage in the past. Looking forward, AI will augment not replace workers just as past technologies did on farms, factories, and offices. Robotic process automation and natural language processing are likely to play important roles in this augmentation with RPA automating repetitive work, natural language processing summarizing information, and RPA also putting the information in the right bins for engineers, accountants, researchers, journalists, and lawyers. Big challenges include reductions in training time depending on faster computers, exponentially rising demands on computers for high accuracies in image recognition, a slowdown in supercomputer improvements, datasets riddled with errors, and reproducibility problems.
Behind the Slow Growth of AI: Failed Moonshots, Unprofitable Startups, Error...Jeffrey Funk
Smaller than expected markets, money-losing startups, failure of Watson, slow-diffusion of self-driving vehicles and medical imaging, and scorching criticisms of Google’s research papers are some of the examples used to characterize the hype of AI. There are some successes, but they are much smaller than the predictions, with advertising, news, and e-commerce having the biggest success stories. Looking forward, #AI will augment not replace workers just as past technologies did on farms, factories, and offices. Robotic process automation and natural language processing are likely to play important roles in this augmentation with #RPA automating repetitive work, natural language processing categorizing information, and RPA also putting the information in the right bins for engineers, accountants, researchers, journalists, and lawyers. The big challenges include exponentially rising demands on computers for high accuracies in images, a slowdown in supercomputer improvements, datasets riddled with errors, and reproducibility problems. See either this podcast or my slides, whose URL is shown in comments. #technolgy #innovation #venturecapital #ipo #artificialintelligence
The Troubled Future of Startups and Innovation: Webinar for London FuturistsJeffrey Funk
These slides show how the most successful startups of today (Unicorns) are not doing as well as the most successful of 20 to 50 years ago. Today's startups are doing worse in terms of time to profitability and time to top 100 market capitalization status. Only one Unicorn founded since 2000 has achieved top 100 market capitalization status while six, nine, and eight from the 70s, 80s, and 90s did so. It is also unlikely that few or any of today's Unicorns will achieve this status because their market capitalizations are too low, share prices increases since IPO are too small, and profits remain elusive. Only 14 of 45 had share price increases greater than the Nasdaq and only 6 of 45 had profits in 2019. The reasons for the worse performance of today's Unicorns than those of 20 to 50 years ago include no breakthrough technologies, hyper-growth strategies, and the targeting of regulated industries. The slides conclude with speculations on why few breakthrough technologies, including science-based technologies from universities are emerging. We need to think back to the division of labor that existed a half a century ago.
Where are the Next Googles and Amazons? They should be here by nowJeffrey Funk
Great startups aren’t being founded like they were in the 1970s (Microsoft, Apple, Oracle, Genentech, Home Depot, EMC), 1980s (Cisco, Dell, Adobe, Qualcomm, Amgen, Gilead Sciences), and 1990s (Amazon, Google, Netflix, Salesforce.com, PayPal). All of these startups reached the top 100 for market capitalization, but Facebook is the only startup founded since 2000 which has entered the top 100. Tesla and Uber are often discussed as highly successful but they have many times higher cumulative losses than did Amazon at its time of peak losses and neither has had a profitable year despite being older than Amazon was when it achieved profits. Furthermore, few of the recent Unicorn IPOs have experienced shareprice increases greater than those of the Nasdaq (14 of 45), only 3 of these 14 have profits, and only six of them have a
market capitalization over $30 (Zoom), $20 (Square), and $10 billion (Twilio, DocuSign, Okta). America’s venture capital system isn’t working as well as it once did, and the coronavirus will make things worse before the VC system gets better.
Start-up losses are mounting and innovation is slowing, but venture capitalists, entrepreneurs, consultants, university researchers, and business schools are hyping new technologies more than ever before. This hype is facilitated by changes in online media, including the rise of social media. This paper describes how the professional incentives of experts and the changes in online media have increased hype and how this hype makes it harder for policy makers, managers, scientists, engineers, professors, and students to understand new technologies and make good decisions. We need less hype and more level-headed economic analysis and this paper describes how this economic analysis can be done. Here is a link to the journal, Issues in Science & Technology: www.issues.org
Irrational Exuberance: A Tech Crash is ComingJeffrey Funk
These slides apply Nobel Laureate Robert Schiller's concept of irrational exuberance (and a book) title to the current speculative bubble of 2019. Over investments in startups and a lack of profitability in them are finally starting to catch up with the venture capital industry and the tech sector that relies on it. Investments by US venture capitalists have risen about six times since 2001 causing the total invested in 2018 to exceed by 40% the peak of 2000, the last big year of the dotcom bubble. But the number of IPOs has never returned to the peak years of 1993 to 2000; only about 250 were carried out between 2015 and 2017 vs. about 1,200 between 1995 and 1997.
The reason is simple: startups are taking longer to go public because they are not profitable. Consider the data. The median time to IPO has risen from 2.8 years in 1998 to 7.7 years in 2016 and the ones going public are less profitable than they were in the past. Although only 22% of startups going public in 1980 were unprofitable, 82% were unprofitable in 2018. The same high percentages of unprofitability have only been achieved twice before, in 1998 and 1999 right before the dotcom bubble burst. Furthermore, startups that have recently done high profile IPOs such as Snap, Dropbox, Blue Apron, Fitbit, Trivago, Box, and Cloudera are still not profitable.
Using the percent of top managers in IPOs (initial public offering) as a proxy for an industry’s/technology’s scientific intensity, this paper shows that the percentage of IPOs and of venture capital financing for science-based technologies has been declining for decades. Second, the percentage of PhDs among the top managers in science intensive industries is also declining, suggesting that their scientific intensities are falling. Third, the age of these top managers rose during the same period suggesting that the importance of experiential knowledge has increased even as the importance of PhDs and thus educational knowledge has decreased. Fourth, the numbers of IPOs and of venture capital funding are not increasing for newer science-based industries such as superconductors, solar cells, nanotechnology, and GMOs. Fifth, there are extreme diseconomies of scale in the universities that produce the PhD-holding top managers, suggesting that universities are far less effective at doing research than are companies. These results provide a new understanding of science and technology, and they offer new prescriptions for reversing slowing productivity growth.
This paper addresses the types of knowledge that are needed in entrepreneurial firms using a unique data base of executives and directors for all IPOs filed between 1990 and 2010. Using highest educational degrees as a proxy for educational knowledge, it shows that 85% of those with PhDs are concentrated in the life sciences and ICT (information and communication technology) industries and second, that those in the ICT industries are concentrated at lower layers in a “digital stack” of industries, ranging from semiconductors and other electronics at the bottom layer to computing and Internet infrastructure at the middle layer and Internet content, commerce, and services in the top layer. Third, industries with fewer PhDs have more bachelor’s and MBA degrees suggesting that PhDs are being replaced by them and not M.S. degrees. Fourth, age is higher for industries with the most PhDs thus suggesting a greater need for experiential knowledge in industries with greater needs for educational knowledge. Fifth, the number of Nobel Prizes tracks industries with high fractions of PhDs.
beyond patents:scholars of innovation use patenting as an indicator of innova...Jeffrey Funk
This paper discusses the problems with using patents as a measure of innovation and papers as a measure of science. It also uses data to show the problems. for example, the number of patent applications and awards have grown by six times since 1984 while productivity growth has slowed.
These slides discuss how to put context back into learning. Farm and other work at home once provided a context for learning, but this context has become much weaker as work at home as mostly disappeared Students once learned mostly from parents because they worked on farms, fixed things at home, and prepared meals. These activities provided a "context" for school learning, a context that has been mostly lost. These slides discuss how this context can be put back into learning and the implications for the types of people best suited for teaching and the way to train them.
Technology Change, Creative Destruction, and Economic FeasibiltyJeffrey Funk
After showing that the costs of most electronic products are from electronic components, these slides show how the iPhone and iPad became economically feasible through improvements in microprocessors, flash memory, and displays.
These slides show that the demand for most professions is growing steadily in spite of continued improvements in productivity enhancing tools for them. They also show that AI will have a largely incremental effect on the professions, in combination with Moore's Law, cloud computing, and Big Data. They do this accounting, legal, architects, journalists, and engineers.
Solow's Computer Paradox and the Impact of AIJeffrey Funk
These slides show why IT has not delivered large improvements in productivity and why new forms of IT like AI will also not deliver large improvements, except in selected sectors. The main reason is that the improvements in AI are over-hyped and because most sectors do not have large inefficiencies in the organization of people, machinery, and materials.
What does innovation today tell us about tomorrow?Jeffrey Funk
This paper was published in Issues in Science and Technology. It distinguished between the Silicon Valley and science-based process of technology change. It shows that more new products and services are emerging from the latter than the former.
Creative destrution, Economic Feasibility, and Creative Destruction: The Case...Jeffrey Funk
This paper shows how new forms of electronic products and services such as smart phones, tablet computers and ride sharing become economically feasible and thus candidates for commercialization and creative destruction as improvements in standard electronic components such as microprocessors, memory, and displays occur. Unlike the predominant viewpoint in which commercialization is reached as advances in science facilitate design changes that enable improvements in performance and cost, most new forms of electronic products and services are not invented in a scientific sense and the cost and performance of them are primarily driven by improvements in standard components. They become candidates for commercialization as the cost and performance of standard components reach the levels necessary for the final products and services to have the required levels of performance and cost. This suggests that when managers, policy makers, engineers, and entrepreneurs consider the choice and timing of commercializing new electronic products and services, they should understand the composition of new technologies, the impact of components on a technology's cost, performance and design, and the rates of improvement in the components.
Designing Roads for AVs (autonomous vehicles)Jeffrey Funk
Autonomous vehicles (AVs) represent one of the most promising new technologies for smart cities and for humans in general. The problem is that cities will not realize the full benefits from AVs until roads are designed for them. Until this occurs, their main benefit will be the elimination of the driver and steering wheel, which will reduce the cost and increase the capacity of taxis; but even this impact will not occur for many years because of safety concerns. Thus, in the near term, the main benefit of AVs will be free time for the driver to do emails and other smart phone related tasks.
A better solution is to design roads for AVs or in other words, to constrain the environment for AVs in order to simplify the engineering problem for them. For example, designing roads so that all vehicles can be controlled by a combination of wireless communication, RFID tags, and magnets will reduce the cost of AVs and increase their benefits. Only AVs would be allowed on these roads, they are checked for autonomous capability at the entrance, and control is returned to the driver when an AV leaves the road. Existing cars can be retrofitted with wireless modules that enable cars to be controlled by a central system, thus enabling cars to travel closely together. The magnets and RFID tags create an invisible railway that keeps the AVs in their lanes while wireless communication is used for lane changing and exiting a highway (Chang et al, 2014; Le Quesne et al, 2014). These wireless modules, magnets and RFID tags will be much cheaper than the expensive LIDAR that is needed when AVs are mixed with conventional vehicles on a road.
The benefits from dedicating roads to AVs include higher vehicle densities, less congestion, faster travel times, and higher fuel efficiencies. These seemingly contradicting goals can be achieved because AVs can have shorter inter-vehicle distances even at high speeds thus enabling higher densities, lower congestion, and lower travel times. The less congestion and thus fewer instances of slow moving or stopped vehicles enable the vehicles to travel at those speeds at which higher fuel efficiencies can be achieved (Funk, 2015). In combination with new forms of multiple passenger ride sharing, the higher fuel efficiencies will also reduce carbon emissions and thus help fight climate change.
The challenge is to develop a robust system that can be easily deployed in various cities and that will be compatible with vehicles containing the proper subsystems. Such a system can be developed in much the same way that new cellular systems are developed and tested. Suppliers of mobile phone infrastructure, automobiles, sensors, LIDAR, 3D vision systems, and other components must work with city governments and universities to develop and test a robust architecture followed by the development of a detail design.
What is the TDS Return Filing Due Date for FY 2024-25.pdfseoforlegalpillers
It is crucial for the taxpayers to understand about the TDS Return Filing Due Date, so that they can fulfill your TDS obligations efficiently. Taxpayers can avoid penalties by sticking to the deadlines and by accurate filing of TDS. Timely filing of TDS will make sure about the availability of tax credits. You can also seek the professional guidance of experts like Legal Pillers for timely filing of the TDS Return.
Cracking the Workplace Discipline Code Main.pptxWorkforce Group
Cultivating and maintaining discipline within teams is a critical differentiator for successful organisations.
Forward-thinking leaders and business managers understand the impact that discipline has on organisational success. A disciplined workforce operates with clarity, focus, and a shared understanding of expectations, ultimately driving better results, optimising productivity, and facilitating seamless collaboration.
Although discipline is not a one-size-fits-all approach, it can help create a work environment that encourages personal growth and accountability rather than solely relying on punitive measures.
In this deck, you will learn the significance of workplace discipline for organisational success. You’ll also learn
• Four (4) workplace discipline methods you should consider
• The best and most practical approach to implementing workplace discipline.
• Three (3) key tips to maintain a disciplined workplace.
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
VAT Registration Outlined In UAE: Benefits and Requirementsuae taxgpt
Vat Registration is a legal obligation for businesses meeting the threshold requirement, helping companies avoid fines and ramifications. Contact now!
https://viralsocialtrends.com/vat-registration-outlined-in-uae/
"𝑩𝑬𝑮𝑼𝑵 𝑾𝑰𝑻𝑯 𝑻𝑱 𝑰𝑺 𝑯𝑨𝑳𝑭 𝑫𝑶𝑵𝑬"
𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
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RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
3. Why Are Tech Companies Changing
Ride-sharing services like Uber and Lyft making
car congestion worse ..
Services like UberPool are making traffic worse,
study says
They add 2.6 to 2.8 new vehicle miles for each mile of
personal driving they eliminate
Studies are increasingly clear: Uber and Lyft
congest cities
Other Recent
Newspaper
Article
Titles
4.
5.
6.
7. Schaller found that while options such as UberX add 2.8
new vehicle miles for each mile of personal driving they
eliminate, the inclusion of options such as UberPool and
Lyft Line adds to traffic at only a marginally lower rate:
2.6 new miles for every mile of personal driving reduced.
8. Your next Uber could be a BIKE as ride-
sharing company moves away from
cars
Coming soon to the Uber app: bikes,
rental cars, and public transportation
Ride-hailing companies are diversifying
away from their core business, but
right into more direct competition
Recent
Newspaper
Article
Titles
9.
10.
11. Why Does Ride Sharing Worsen Congestion?
Some users moving from public transport
Public transport requires less land per rider than do cars
Even users moving from private cars require more land per
rider
Ride sharing vehicles don’t have passengers all the time
Time to find new passengers, drivers need breaks
Result is that ride sharing vehicles require more land per rider
Driverless Vehicles will make problem worse for near future
Removing driver will reduce costs, but increase congestion
Eliminating private cars will help, but people won’t sell until new
services succeed
12. What About Uber Pool?
Not enough users for algorithm to generate efficient
routes
Result is that vehicles
must drive additional miles for each rider
In addition to miles finding new passengers
2.6 new miles for every mile of personal driving reduced
(vs. 2.8 for regular Uber Service)
More users might lead to better routes but this will
take a long time
13. We Need Better Fixed Route Services
Consider NUS (National University of Singapore) night classes
500 to 1000 students attend classes on weeknights (6-9PM) in
Faculty of Engineering
Probably similar numbers in other faculties and universities
Some students
coming from same place about 6PM
going to same place at about 9PM
Can we offer cars, vans or mini-buses for them? Thus reducing
use of single passenger private vehicles
travel time for students who typically use public transportation
14. Many other Examples in Singapore and
Other Places
Any location with many low- and mid-income people is one
end point
Low price retail outlets
Popular shopping malls
Popular weekend destinations: beaches, parks, theme parks
Schools, universities, and government offices
Fixed route services can connect these end points with
residential locations that are close and are densely populated
Learn from results, expanding successful routes and reducing
unsuccessful routes
15. Another Look at Opportunities: Singapore’s Taxis are Concentrated
in a Few Places (bright red) Throughout a Typical Day (this data is
for Sunday)
Midnight
3AM 6AM
9AM
Noon 3PM
6PM
9PM
16. How Much Space Does Bright Red Occupy? 1% of Space? Two
Major Areas/Routes for Most of the Day (Green Boxes)
Midnight 3AM 6AM 9AM
Noon 3PM 6PM 9PM
17. What Prevents Better Fixed-Route Services?
Governments
Don’t want to cannibalize public transport services
So they oppose fixed route services
Even as ride sharing services are stealing users
away from public transport services
Answers:
Allow more competition from private companies
Remake public transportation services
18. Information Technology Helps Us
GPS and fast computers enable vehicles to have complex routes
Buses don’t have to run same route all day long, stopping every one
minute
Can change routes according to time of day, stopping infrequently
Smaller vehicles can be used for some routes
Big data helps us plan better
Find best routes and vehicles for best times
Governments can use employment, residential, and other data to
plan, or can open it up to private companies
Smart phones enable interactions between riders and services
Users can find schedules on phones, without looking at bus stop
information boards
19. So Much Data, Hidden Away in
Computers and Filing Cabinets
Taxi companies have data on pick-up and drop-off points
Train and bus companies have data on boarding and alighting
points but,
Employers and governments have data for specific people on
residential
employment locations
Shopping and entertainment businesses also have data on
users
20. What will Cities Do?
Many early adopters of ride sharing will restrict
ride sharing services, but make few changes to
public transportation
Non-adopters of ride sharing will be convinced
they were correct to not have allowed ride
sharing
A few will change their public transport services
A few will also allow more private services, and
will likely be the most successful
What will your city do?
21.
22. City Percentage Devoted to
Streets
Street Area (square feet) Per
Capita
New York 30% 345
Newark 16% 257
San Francisco 26% 441
Chicago 24% 424
Philadelphia 19% 365
St. Louis 25% 609
Pittsburgh 18% 455
Cleveland 17% 416
Miami 24% 778
Milwaukee 20% 724
Cincinnati 13% 573
Los Angeles 14% 741
Atlanta 15% 1,120
Houston 13% 1.585
Dallas 13% 1,575
Portion of Land Devoted to Streets
Source: John R. Meyer and Jose A. Gomez-Ibanez, Autos, Transit, and Cities, Twentieth Century Fund
Report (Cambridge: Harvard University Press, 1981).
23. Rank City Parking Area* Divided by Land Area
1 Los Angeles 81%
2 Melbourne 76%
3 Adelaide 73%
4 Houston 57%
5 Detroit 56%
6 Washington, D.C. 54%
7 Brisbane 52%
8 Calgary 47%
9 Portland 46%
10 Brussels 45%
Land for Parking in Urban Areas
Source: Michael Manville and Donald Shoup, “People, Parking, and Cities,” Journal of Urban Planning and Development, Vol.
131, No. 4, December 2005, pp. 233-245
* Includes all levels of all parking garages
24. This is the Reality of Many Cities
Cars, cars, and more cars
Private cars are primary mode of
transportation in most developed countries
Particularly in U.S.
But also in Japan and Europe
They are parked 95% of the time
When they are driven, they usually have a
single driver and are stuck in traffic
Waste of time!
And also energy
Isn’t there a better way?
25. Examples for Singapore
Residential Retail Total
Densities Employment Employment
http://simulacra.blogs.casa.ucl.ac.uk/2011/04/running-spatial-interaction-models-in-java/
Employment, residential,
and shopping densities
are known in many cities
Can this data can be
used to build a rough
map of high density
routes and times?
Many trips are between:
Employment centers
Retail centers
Residential centers
Entertainment centers
26. Can Employers Help?
For example, should employers provide anonymous
data on home addresses to help design transport
services for them?
Well designed services could
dramatically cut travel times for users
increase employee satisfaction
reduce traffic on trains during peak demand
Should governments require employers to provide
data, in order to reduce peak demand traffic on
trains?
27. We Need Real Sharing: We Need Better
Fixed Route Services
It combines the best of
Short travel times (similar to private vehicles)
Low cost, fewer private cars less congestion (similar to public transport)
How can it do this?
Many people have same starting and ending points, and times
Entrepreneurs can offer services for high-density routes and times
Information Technology enables us to do this
Big data provides better data on common routes and times
Smart phones enable interactions between riders and services
GPS and fast computers enable vehicles to have very complex routes
28. Better Fixed Route Services are Needed
Private Cars
Advantage: Lots of freedom! Usually fast speeds and short travel
times
Disadvantages: cars are expensive, cities are filled with roads
and parking lots, much lost time in traffic during many parts of
day
Public transportation
Advantage: Inexpensive
Disadvantages:
travel times are usually much longer than for private cars or
taxis
almost double those of private cars and taxis in Singapore
29. Multiple Passenger
Ride Sharing can
Change Conventional
Wisdom about
Energy Usage: High
urban densities
(and centralized
cities)
are needed for low
energy consumption
in transport
Newman P, Kenworthy J 1989. Cities and
automobile dependence : a sourcebook.
Aldershot Hants England: Gower Technica
30. 0
20
40
60
80
100
0 50 100 150 200 250 300 350
Asia
Canada
Australia
US
Public
Transport
(%)
Density
(per hectare)
Public Transport Usage (%) is Higher in Dense Cities
(Asia, Canada, Australia, US)
Newman P, Kenworthy J 1989. Cities and automobile dependence : a sourcebook. Aldershot Hants England: Gower Technica
31. 0
5
10
15
20
25
30
0 5 10 15 20 25 30
A More Detailed Look at Canada, Australia, and US
New US Cities
Decentralized
Designed for Cars
Old US
Cities
Australia
Canada
Density
(per hectare)
Public
Transport
33. We Need Real Sharing: We Need Better
Fixed Route Services
It combines the best of
Short travel times (similar to private vehicles)
Low cost, fewer private cars less congestion (similar to public transport)
How can it do this?
Many people have same starting and ending points, and times
Entrepreneurs can offer services for high-density routes and times
Information Technology enables us to do this
Big data provides better data on common routes and times
Smart phones enable interactions between riders and services
GPS and fast computers enable vehicles to have very complex routes
34. Very Different from Uber Pool or
Crowdsourcing
Entrepreneurs must take the risks
They must guarantee short travel times and low prices
Uber Pool has twice the travel times as Uber’s single
passenger services
People want short travel times!
Demand won’t emerge in the short run for Uber Pool!
Entrepreneurs must offer services for specific times
and routes
Even if there is initially low demand
35. Advantages of Multiple Passenger Ride Sharing
Provides another choice for users
Depends more on entrepreneurs than on governments
If successful,
Reduces cost of transport, with only small increase in travel time
Increases income for drivers, good for them and economy
Reduces congestion and thus travel times for everyone
Reduces petroleum usage and air pollution, without expensive
subsidies for electric vehicles, solar cells, or wind turbines
Can reduce need for car ownership, which represent second
highest cost for most low and mid-income families after homes
Less car ownership means less need for parking lots and roads
36. Taxis are Operating on Same Routes at
the Same Time
These taxis can be shared with little increase in travel time
One main route along east coast
A second route from south central to central
Simple calculation for Singapore
28,000 taxis or 39 taxis per km2 (total area of 710 km2 )
If taxis are operating in 1% of area: 3,900 taxis per km2
So many chances for shared taxis
Singapore is not unique!
Similar situations probably exist in many cities
37. Travel Time
Price
Multiple Passenger Ride Sharing can Change the
Economics of Commuting
Private vehicle
or private taxi
Multiple
passenger
ride sharing
Public
TransportBEST: want
low price,
short time
38. Design Services that Better Match Real Demand
Use big data to understand
People’s actual starting and ending points by time of day
Provide direct services for high density routes and times
Fewer stops reduce travel times, thus increasing user value
Increase number of vehicles if demand emerges
Vehicles follow multiple routes during day, facilitated by GPS
Real densities and demand should determine fixed routes
Vans and cars follow demand as it changes from commuting to shopping
during middle of day and back to commuting in evening
During non-peak commuting times, vehicles can also be used for other
transport needs, such as deliveries (see below)
39. Such Private Bus/Car Mobile Apps are Emerging
Many transportation apps are emerging
Mostly private taxis
Uber, Didi Dache-Kuaidi Dache, Ola Cabs, Lyft, Grabtaxi
All are valued at >$1Billion, Uber >$50 Billion
Some transport multiple passengers in same vehicle
Uber Pool, LyftLine, Via (in NY) and Split
Driver receives requests via real-time routing algorithm, which maps pickups
and drop-offs into most efficient route
Problems is most services have long travel times, because there aren’t
enough people using the services
Most people want to plan their routes, not depend on dynamic algorithm
http://bits.blogs.nytimes.com/category/special-section/?_r=1
http://districtsource.com/2015/05/split-a-new-ridesharing-app-is-out-to-shake-up-d-c-s-on-demand-transportation-scene/
40. Fixed Route Services Can Have Bigger Effect
Fixed route services transfer risk from passenger to service
Services must provide short travel times (and low prices)
through small number of stops, perhaps one or two at each
end
Dynamic services will not provide short travel times until
the number of users is high
Fixed route services can provide shorter travel times
Initially number of passengers may be small and thus service
might lose money
Depends on choice of routes
Services must target routes with high densities of users
41. Fixed of Fixed Route Services are Emerging
Examples
San Francisco area: RidePal, Chariot, Split, Potrero, Richmond,
Loup, Sunset
Bridj in Boston and Washington
Services make multiple stops only at beginning and end of route
Since no need to access car from parking garage, travel times
almost as fast as private vehicles, but can be much cheaper
The challenge is to find starting and ending points with lots
of demand; Big Data analysis will help
Most current services based on crude observations, not real data
Better data on starting and ending points will lead to better
services http://bits.blogs.nytimes.com/category/special-section/?_r=1; http://www.bridj.com/welcome/#how
http://www.theverge.com/2015/3/23/8279715/san-francisco-bus-leap-loup-chariot
42. RidePal
It offers a number of
fixed route services that
connect starting and
ending points with high
demand
Picture shows SF and
Sunnyvale
Also provides services
for specific companies
(they know addresses of
their employees)
https://www.ridepal.com/#/
43. Chariot
Runs 14 passenger vans across San Francisco on five set routes
during morning and afternoon rush
Rides cost between $3 and $5
Passengers book from smartphones and use mobile phone apps to
monitor van location
Free WiFi also available
Total of 5,000 rides provided each week
Introduced tool to determine new routes, “Roll your Route”
Users can submit their optimum bus route and commute times
Can then recruit friends and neighbors to vote for the route
If route meets certain threshold, the service starts within a week
http://www.bloomberg.com/news/articles/2015-04-22/silicon-valley-private-bus-service-chariot-gets-more-vc-funding
44. Examples of Possible Services in Singapore
Consider NUS (National University of Singapore) night classes
500 to 1000 students attend classes on weeknights (6-9PM) in
Faculty of Engineering
Probably similar numbers in other faculties and universities
Some of these students are
coming from the same place about 6PM
going to the same place at about 9PM
Can we offer cars, vans or mini-buses for them? Thus reducing
use of single passenger private vehicles
travel time for students who typically use public transportation
The more we know about starting and ending points by time of
day, better services can be offered
45. What About Other Transport Demands
Ride sharing vehicles/vans are wasted when they are parked
Are there transportation demands during non-peak hours,
such as 10AM to 4PM?
Can vehicles and vans be used for other types of transport
services?
Use them for deliveries and other applications?
Uber wants to do other applications, why can’t others?
Many store-owned vehicles sit 90% of the time
The following slide suggests there is large demand for
transport in non-peak hours
Understanding the demand through big data is essential
46. 0
50
100
150
200
250
0 5 10 15 20
Relative Traffic On All Roads, Great
Britain, by Time of Day
Ride sharing
cars can
also service
high off-peak
demand
May be lots of potential
during non-peak times
Ride sharing cars and vans
can be used
for other transport
applications during
middle of day,
when there is less
commuting
We need better info on
starting and ending points
during non-peak hours
Peak
Commuting
Times
47. Other Types of Data? (2)
Can this rough map be used to
devise a travel model for a city?
Can we assume travel times for work
and shopping activities?
Would time-of day road, train, bus,
and taxi usage data or retail data
provide a better model?
Can this model help us devise ride
sharing routes and schedules?
Can simulations help us identify the
best combinations of routes and best
schedules?
Where should vehicles stop and at
which times?
48. Conventional Wisdom About Lower Energy Usage
High urban densities are necessary for low energy usage
Shorter distances to travel
More walking and bicycling in dense than in less dense cities
Vehicle, bus, and train trips are shorter
More public transportation partly because better economics
of public transportation
Both lead to lower energy usage in transportation
Examples of extremes
Long car commutes in Los Angeles
Short bus or train commutes in Hong Kong
49. Why the Differences?
Public Transportation tends to be more economic when
Population is large, population density is high
Cities are designed around walking (and not cars)
Cities are centralized and commuting is one direction (e.g., Tokyo)
Public Transportation is often designed for centralized one
direction commuting during peak hours
Easy to design; just bring people downtown for
work and then back home
Train and bus routes are fixed, repeat same routes
Routes are repeated with only changes
in frequency of service by time of day
50. Some cities have multiple centers,
particularly in the U.S. where growth
has occurred in the South-West
(California, Texas, Arizona) and Florida
Multiple Centers
51. Multiple Passenger Ride Sharing Will Overturn
this Conventional Wisdom
Can increase the number of passengers per vehicle and thus
reduce energy usage
Even lightly congested cities can do multiple passenger ride
sharing
First find high density routes and times and offer services
Then work towards lower density routes and times and offer
services
The end result can be lower energy usage along with
Lower cost and time of transport
Less congestion and thus travel times for everyone
Lower car ownership, which represent second highest expenditure for
most low and mid-income families after homes
Less car ownership means less need for parking lots and roads
52. Conclusions
Multiple passenger ride sharing can change the economics of
transport
How can it do this?
Many people have same starting and ending points, and same times
We just need to identify those routes and times
Information Technology enables us to do this
Big data provides better data on common routes and times
Smart phones enable interactions between riders and services
GPS and fast computers enable vehicles to have very complex
routes
53. Conclusions (2)
Not just Singapore and other high density
populated cities!
Smaller and less dense cities can also do this
Cities should provide more data, to help
services identify common routes
Cities have data, so they can help
Much cheaper than building train lines and
buying buses
54. Conclusions (3)
Even Los Angeles can do this
Cars, mini-buses and vans are used for high demand routes
Big data can find these routes and times
This will cause users to depend more on ride sharing,
reducing private vehicle usage and ownership
Can we reduce number of vehicles on roads by more
than half during peak hours?
Can we reduce the number of cars per family from two to one?
Can Los Angeles have lower energy usage than Tokyo currently does?
Perhaps, because no empty trains and buses running in opposite directions
And fewer empty trains and buses during off-peak hours
Instead, many full ride sharing vans and mini-buses