Smart cities will present a substantial growth factor in years to come. But these cities will have to go through challenges, and these challenges can be solved through the application of GIS for planning, conceptualization, and development.
From the Emerald City to Your City GIS for Effective Service and ROIGreg Babinski
Greg Babinski, the finance and marketing manager of King County GIS Center and past president of URISA, discusses how geographic information systems (GIS) can provide return on investment (ROI) for communities. He gives examples of how King County leverages GIS to maximize assets like geographic, demographic, and financial resources. Studies have found that King County realized $776 million in benefits from 1998-2010 from using GIS. Babinski advocates enhancing GIS effectiveness and ROI through organizations like URISA's GIS Management Institute. He aims to show attendees how smart communities can apply GIS principles from the "Emerald City" of Seattle to their own cities.
Geospatial solutions for creating a smart cityShristi Paudel
Smart city is a concept for sustainable cities. Geomatics/Geospatial technologies play a major role in creating a smart city; they act like the foundation for smart city. This presentation highlights the importance and role of different sectors of geospatial field in a smart city. The presentation was presented in an open presentation competition on the theme 'Applied engineering technology' and was awarded the first prize.
This presentation discusses the development of smart cities using big sensor data through collaborative efforts. It describes how sensor data from sources like geo-sensors, mobile devices, and social media can be used to understand human activities and urban dynamics. A smart system is needed to integrate this big sensor data, perform processing and mining, and act as a platform for applications. This will help support decisions by residents, visitors and governments. The presentation then discusses a research project that is developing a middleware architecture for spatio-temporal processing of sensor data. It provides an example of Santander, Spain, which extensively uses sensors. The goal of the collaborative smart city approach is to promote data integration and development of smart environments that benefit citizens.
Smartrural Digital resilience for rural worldsAlfonso Crisci
This document discusses the concept of "Smartrural", which aims to use digital technologies to make rural areas and societies more resilient. It involves creating an information environment treated as a Dynamical Decision Support System to help rural stakeholders and actors make better decisions. This system would integrate sensor and strategic data, web and mobile interfaces, and open linked data analytics to provide useful information and enable communication. The goals are to improve local economic opportunities, promote territorial identity, reduce the digital divide, and encourage knowledge sharing and reuse of information to help rural communities address future challenges.
Smart cities, big data & their consequencesrobkitchin
This document discusses the rise of smart cities and big data. It outlines two views of smart urbanism: instrumentation and regulation of cities through ubiquitous sensors and data collection, and using technology to make cities more competitive, innovative and sustainable. The focus is on how cities are becoming composed of networks of instruments and data that aim to make urban systems knowable and controllable in real-time. While big data promises benefits like improved services and governance, it also enables more extensive surveillance and raises issues around privacy, technocratic governance, corporate influence, and hackability of urban systems. Critical examination is needed to ensure smart city development aligns with citizens' values and addresses structural problems, not just technical solutions.
Smart city simply means the use of information technology(IT) at the city level, which was first applied to the desk in 1980s and then expanded to the office or the home and the building in that order. Smart city enables citizen to make the right decision and act like an expert by moving intelligence from human to city structure. Smart city has four characteristics; self-orarnizing city, generative city, citizen-centric city, and realtime city. In order to succeed in building smart city, emphasis should be put on the city platform. Without a city-wide platform, it is impossible to combine data from different sources and to create smart services. This slide explains what is smart city, how to start smart city, and what benefits smart city will accompany.
Seoul has developed advanced e-government initiatives over the past two decades to improve governance and public services. [1] It established a Chief Information Officer role in 1999 to coordinate IT projects across city government. [2] Through initiatives like Seoul Open System and e-Seoul Net, it has integrated information systems and created a single sign-on portal for workers. [3] It also developed a Geographic Information System portal, spatial data warehouse, and intelligent infrastructure using sensors and CCTVs. Seoul aims to advance to a "smart government" model focused on data-driven policies and personalized, participatory services.
From the Emerald City to Your City GIS for Effective Service and ROIGreg Babinski
Greg Babinski, the finance and marketing manager of King County GIS Center and past president of URISA, discusses how geographic information systems (GIS) can provide return on investment (ROI) for communities. He gives examples of how King County leverages GIS to maximize assets like geographic, demographic, and financial resources. Studies have found that King County realized $776 million in benefits from 1998-2010 from using GIS. Babinski advocates enhancing GIS effectiveness and ROI through organizations like URISA's GIS Management Institute. He aims to show attendees how smart communities can apply GIS principles from the "Emerald City" of Seattle to their own cities.
Geospatial solutions for creating a smart cityShristi Paudel
Smart city is a concept for sustainable cities. Geomatics/Geospatial technologies play a major role in creating a smart city; they act like the foundation for smart city. This presentation highlights the importance and role of different sectors of geospatial field in a smart city. The presentation was presented in an open presentation competition on the theme 'Applied engineering technology' and was awarded the first prize.
This presentation discusses the development of smart cities using big sensor data through collaborative efforts. It describes how sensor data from sources like geo-sensors, mobile devices, and social media can be used to understand human activities and urban dynamics. A smart system is needed to integrate this big sensor data, perform processing and mining, and act as a platform for applications. This will help support decisions by residents, visitors and governments. The presentation then discusses a research project that is developing a middleware architecture for spatio-temporal processing of sensor data. It provides an example of Santander, Spain, which extensively uses sensors. The goal of the collaborative smart city approach is to promote data integration and development of smart environments that benefit citizens.
Smartrural Digital resilience for rural worldsAlfonso Crisci
This document discusses the concept of "Smartrural", which aims to use digital technologies to make rural areas and societies more resilient. It involves creating an information environment treated as a Dynamical Decision Support System to help rural stakeholders and actors make better decisions. This system would integrate sensor and strategic data, web and mobile interfaces, and open linked data analytics to provide useful information and enable communication. The goals are to improve local economic opportunities, promote territorial identity, reduce the digital divide, and encourage knowledge sharing and reuse of information to help rural communities address future challenges.
Smart cities, big data & their consequencesrobkitchin
This document discusses the rise of smart cities and big data. It outlines two views of smart urbanism: instrumentation and regulation of cities through ubiquitous sensors and data collection, and using technology to make cities more competitive, innovative and sustainable. The focus is on how cities are becoming composed of networks of instruments and data that aim to make urban systems knowable and controllable in real-time. While big data promises benefits like improved services and governance, it also enables more extensive surveillance and raises issues around privacy, technocratic governance, corporate influence, and hackability of urban systems. Critical examination is needed to ensure smart city development aligns with citizens' values and addresses structural problems, not just technical solutions.
Smart city simply means the use of information technology(IT) at the city level, which was first applied to the desk in 1980s and then expanded to the office or the home and the building in that order. Smart city enables citizen to make the right decision and act like an expert by moving intelligence from human to city structure. Smart city has four characteristics; self-orarnizing city, generative city, citizen-centric city, and realtime city. In order to succeed in building smart city, emphasis should be put on the city platform. Without a city-wide platform, it is impossible to combine data from different sources and to create smart services. This slide explains what is smart city, how to start smart city, and what benefits smart city will accompany.
Seoul has developed advanced e-government initiatives over the past two decades to improve governance and public services. [1] It established a Chief Information Officer role in 1999 to coordinate IT projects across city government. [2] Through initiatives like Seoul Open System and e-Seoul Net, it has integrated information systems and created a single sign-on portal for workers. [3] It also developed a Geographic Information System portal, spatial data warehouse, and intelligent infrastructure using sensors and CCTVs. Seoul aims to advance to a "smart government" model focused on data-driven policies and personalized, participatory services.
GIS is indispensable for smart cities as it allows stakeholders to visualize and communicate complex concepts. Some key uses of GIS for smart cities include:
1) Determining rooftop solar potential by calculating how much solar radiation reaches rooftops using location data, elevation models, and sun path calculations. This can also calculate carbon footprint reductions.
2) Asset management by mapping assets, tracking maintenance, and planning development digitally. This allows creating dashboards to perform spatial queries and allow residents to map issues.
3) Rainwater management by using GIS site selection models and elevation data to identify locations where stormwater can be naturally collected with minimal intervention.
4) Calculating drive/walk times to
It’s the age of getting smart or smarter. Technology has been seeping into every sphere of our lives in the past few years. After our phones and televisions have gotten smarter, it’s time to envisage our cities to become smarter. Big Data and the Internet of Things (IoT) have a significant role to play in making our lives simpler by inter-connecting our scattered digital footprints to create an efficient and cohesive habitable unit for us. While the idea of a smart city has been floating around for some time now, its successful implementation needs to counter and conquer many roadblocks.
Read the full blog here: http://suyati.com/the-role-of-big-data-in-smart-cities/
Reach us at: achoudhury@suyati.com
Maximizing Benefits from Municipal GIS Operations The GIS Management Institu...Greg Babinski
This document discusses how geospatial technology can maximize benefits from municipal GIS operations. It provides an overview of the foundations of GIS including how geographic theory, digital data, geospatial software and an emerging geospatial profession have supported the development and use of GIS. It also describes how Esri ArcGIS software was developed to support 32 key geographic functions of municipal administration identified by Jack Dangermond.
Elizabeth Kellar, president and CEO of the Center for State and Local Government and deputy executive director for ICMA, spoke on the topic of smart cities during the 2016 Global City Teams Challenge Tech Jam. These were the slides that accompanied her speech.
The document provides an overview of smart cities, including:
1) It defines a smart city as one that uses information and communication technologies to enhance the quality and performance of urban services in order to reduce costs and resource consumption.
2) The main components that enable smart cities are the Internet of Things (IoT), which uses sensors to collect data, and big data, which analyzes the data across systems.
3) Video analytics technology is highlighted as a way to analyze traffic video data in real-time to detect unsafe situations and prevent accidents, with a pilot project already implemented in Bellevue, Washington.
This document discusses the use of geographic information systems (GIS) in facilities management and property maintenance. It begins with introductions to facilities management and GIS, explaining how GIS can be used to manage spatial data related to properties. It then discusses specific GIS applications for various stages of property management, such as site selection, space management, and maintenance. The document concludes by outlining steps for implementing a GIS system, including developing requirements, evaluating options, creating an implementation plan, acquisition, and operational procedures. Overall, the document provides an overview of how GIS technologies can enhance property management and maintenance activities.
The document discusses the concepts of systems and smart cities, and the role of IoT within smart city design. It defines a system as interacting components forming an integrated whole. Smart cities aim to be livable, efficient, sustainable, and safe using technical, human, and institutional frameworks. IoT can help smart cities by collecting data from sensors to monitor systems, optimize processes, and enable autonomous control. The document also notes some limits to IoT and smart city development in Tunisia, such as infrastructure and data limitations, but outlines initiatives to help overcome these, including OpenData and concept projects to start applying IoT principles.
A smart city leverages technology to improve infrastructure and services for citizens. It focuses on adequate utilities like water and electricity, public transport, digital connectivity, governance, health, education, and security. As cities grow denser, planning tools like 3D modeling of infrastructure on the CATIA platform can help cities better plan for the future by rethinking areas like transportation, utilities and public services to create more sustainable, livable environments.
The document discusses the Internet of Things (IoT) and smart cities. It defines IoT as physical objects embedded with sensors that can collect and exchange data over the internet. Examples include smart devices, cars, and home appliances. IoT is expected to generate large amounts of data that needs to be indexed, stored, and processed for business intelligence. The document also discusses smart city initiatives in various cities around the world like New York City, and partnerships between cities to share best practices. It analyzes the strengths, weaknesses, opportunities and threats of implementing IoT and smart technologies more broadly.
The document discusses how the Internet of Things (IoT) can be used to create smart cities by connecting devices and sensors to collect and analyze data. It provides an example of how ultrasonic sensors in waste receptacles could help waste managers optimize trash pickup schedules. The conclusion states that IoT represents the next evolution of the Internet and has the potential to use data to improve cities and change the world for the better by making them smarter.
Smart City concept overview with many references from around the world through the eyes of an Enterprise Architect and Urban Technologist. It is also an attempt to assess BSI SCF value proposition and success factors for its implementation. The approach draws also on the work done by The Open Group and other standardization bodies supporting Smart City approach.
Smart city is a system that enhances human and social capital wisely using and interacting with natural and economic resources via technology based solution to address public issues and efficiently achieve sustainable development and a high quality of life on the bases of a multi stakeholder, municipally based partnership.
Bhubaneshwar smartcity overview n roadmaps v 1.1Rasmi Swain
This document provides an overview of plans to develop Bhubaneshwar, India as a smart city. It discusses definitions of smart cities and their key components like smart energy, infrastructure, mobility, and governance. It outlines Bhubaneshwar's plans for a digital infrastructure across various domains like transportation, water, and city operations. Specific projects proposed include a citizen services portal, tourism portal, intelligent traffic and parking systems, smart grids and campuses, and replicating successful e-governance models from other states. The goal is to use digital technologies and data to improve quality of life through more efficient management of infrastructure and public services.
Smart Infrastructure :: a consortium pitchAkhil Ganatra
Smart Infrastructure solicits a consortium leading to,
co-innovation, local adaptability, system modularity
and life-cycle cost optimisation.
With our consortium we address some core functions
required, for a smart city, community, township & building
This document discusses smart mobility and resilience in the face of global challenges. It outlines population growth, aging populations, increasing healthcare needs, more cars on roads, increasing energy demands, and urbanization as major trends. Mobility is key to accessing facilities and supporting quality of life. The document calls for urban resilience and adapting to stresses through smart and efficient transportation infrastructure and services that facilitate interactions while reducing environmental impacts. Big data and new technologies are seen as ways to better understand urban systems and plan resilient and sustainable cities.
Spatial Data Infrastructure (SDI) Is An Information...Stacey Wilson
The document discusses spatial data infrastructure (SDI) and how its methods for creation have changed in recent years. Some limitations that challenge SDI growth are mentioned, such as lack of standards for linked geospatial data. The goal of the essay is to detail concepts for an improved SDI in 2019 that integrates existing developments and emerging trends, including incorporating data mining techniques to help recognize patterns in data. Cloud computing infrastructure and its benefits from a networking perspective are also discussed. The future SDI would encourage participation from various sectors to increase awareness.
GIS is indispensable for smart cities as it allows stakeholders to visualize and communicate complex concepts. Some key uses of GIS for smart cities include:
1) Determining rooftop solar potential by calculating how much solar radiation reaches rooftops using location data, elevation models, and sun path calculations. This can also calculate carbon footprint reductions.
2) Asset management by mapping assets, tracking maintenance, and planning development digitally. This allows creating dashboards to perform spatial queries and allow residents to map issues.
3) Rainwater management by using GIS site selection models and elevation data to identify locations where stormwater can be naturally collected with minimal intervention.
4) Calculating drive/walk times to
It’s the age of getting smart or smarter. Technology has been seeping into every sphere of our lives in the past few years. After our phones and televisions have gotten smarter, it’s time to envisage our cities to become smarter. Big Data and the Internet of Things (IoT) have a significant role to play in making our lives simpler by inter-connecting our scattered digital footprints to create an efficient and cohesive habitable unit for us. While the idea of a smart city has been floating around for some time now, its successful implementation needs to counter and conquer many roadblocks.
Read the full blog here: http://suyati.com/the-role-of-big-data-in-smart-cities/
Reach us at: achoudhury@suyati.com
Maximizing Benefits from Municipal GIS Operations The GIS Management Institu...Greg Babinski
This document discusses how geospatial technology can maximize benefits from municipal GIS operations. It provides an overview of the foundations of GIS including how geographic theory, digital data, geospatial software and an emerging geospatial profession have supported the development and use of GIS. It also describes how Esri ArcGIS software was developed to support 32 key geographic functions of municipal administration identified by Jack Dangermond.
Elizabeth Kellar, president and CEO of the Center for State and Local Government and deputy executive director for ICMA, spoke on the topic of smart cities during the 2016 Global City Teams Challenge Tech Jam. These were the slides that accompanied her speech.
The document provides an overview of smart cities, including:
1) It defines a smart city as one that uses information and communication technologies to enhance the quality and performance of urban services in order to reduce costs and resource consumption.
2) The main components that enable smart cities are the Internet of Things (IoT), which uses sensors to collect data, and big data, which analyzes the data across systems.
3) Video analytics technology is highlighted as a way to analyze traffic video data in real-time to detect unsafe situations and prevent accidents, with a pilot project already implemented in Bellevue, Washington.
This document discusses the use of geographic information systems (GIS) in facilities management and property maintenance. It begins with introductions to facilities management and GIS, explaining how GIS can be used to manage spatial data related to properties. It then discusses specific GIS applications for various stages of property management, such as site selection, space management, and maintenance. The document concludes by outlining steps for implementing a GIS system, including developing requirements, evaluating options, creating an implementation plan, acquisition, and operational procedures. Overall, the document provides an overview of how GIS technologies can enhance property management and maintenance activities.
The document discusses the concepts of systems and smart cities, and the role of IoT within smart city design. It defines a system as interacting components forming an integrated whole. Smart cities aim to be livable, efficient, sustainable, and safe using technical, human, and institutional frameworks. IoT can help smart cities by collecting data from sensors to monitor systems, optimize processes, and enable autonomous control. The document also notes some limits to IoT and smart city development in Tunisia, such as infrastructure and data limitations, but outlines initiatives to help overcome these, including OpenData and concept projects to start applying IoT principles.
A smart city leverages technology to improve infrastructure and services for citizens. It focuses on adequate utilities like water and electricity, public transport, digital connectivity, governance, health, education, and security. As cities grow denser, planning tools like 3D modeling of infrastructure on the CATIA platform can help cities better plan for the future by rethinking areas like transportation, utilities and public services to create more sustainable, livable environments.
The document discusses the Internet of Things (IoT) and smart cities. It defines IoT as physical objects embedded with sensors that can collect and exchange data over the internet. Examples include smart devices, cars, and home appliances. IoT is expected to generate large amounts of data that needs to be indexed, stored, and processed for business intelligence. The document also discusses smart city initiatives in various cities around the world like New York City, and partnerships between cities to share best practices. It analyzes the strengths, weaknesses, opportunities and threats of implementing IoT and smart technologies more broadly.
The document discusses how the Internet of Things (IoT) can be used to create smart cities by connecting devices and sensors to collect and analyze data. It provides an example of how ultrasonic sensors in waste receptacles could help waste managers optimize trash pickup schedules. The conclusion states that IoT represents the next evolution of the Internet and has the potential to use data to improve cities and change the world for the better by making them smarter.
Smart City concept overview with many references from around the world through the eyes of an Enterprise Architect and Urban Technologist. It is also an attempt to assess BSI SCF value proposition and success factors for its implementation. The approach draws also on the work done by The Open Group and other standardization bodies supporting Smart City approach.
Smart city is a system that enhances human and social capital wisely using and interacting with natural and economic resources via technology based solution to address public issues and efficiently achieve sustainable development and a high quality of life on the bases of a multi stakeholder, municipally based partnership.
Bhubaneshwar smartcity overview n roadmaps v 1.1Rasmi Swain
This document provides an overview of plans to develop Bhubaneshwar, India as a smart city. It discusses definitions of smart cities and their key components like smart energy, infrastructure, mobility, and governance. It outlines Bhubaneshwar's plans for a digital infrastructure across various domains like transportation, water, and city operations. Specific projects proposed include a citizen services portal, tourism portal, intelligent traffic and parking systems, smart grids and campuses, and replicating successful e-governance models from other states. The goal is to use digital technologies and data to improve quality of life through more efficient management of infrastructure and public services.
Smart Infrastructure :: a consortium pitchAkhil Ganatra
Smart Infrastructure solicits a consortium leading to,
co-innovation, local adaptability, system modularity
and life-cycle cost optimisation.
With our consortium we address some core functions
required, for a smart city, community, township & building
This document discusses smart mobility and resilience in the face of global challenges. It outlines population growth, aging populations, increasing healthcare needs, more cars on roads, increasing energy demands, and urbanization as major trends. Mobility is key to accessing facilities and supporting quality of life. The document calls for urban resilience and adapting to stresses through smart and efficient transportation infrastructure and services that facilitate interactions while reducing environmental impacts. Big data and new technologies are seen as ways to better understand urban systems and plan resilient and sustainable cities.
Spatial Data Infrastructure (SDI) Is An Information...Stacey Wilson
The document discusses spatial data infrastructure (SDI) and how its methods for creation have changed in recent years. Some limitations that challenge SDI growth are mentioned, such as lack of standards for linked geospatial data. The goal of the essay is to detail concepts for an improved SDI in 2019 that integrates existing developments and emerging trends, including incorporating data mining techniques to help recognize patterns in data. Cloud computing infrastructure and its benefits from a networking perspective are also discussed. The future SDI would encourage participation from various sectors to increase awareness.
This document discusses smart cities, including their key elements and features. It notes that smart cities aim to use technology and data to improve infrastructure, services, and quality of life. Some key components of smart cities include smart transportation, energy, governance, healthcare, buildings and more. The document also provides examples of top smart cities worldwide and India's smart cities mission to develop 100 smart cities through public-private partnerships. Overall, smart cities seek to enhance sustainability and livability through the use of digital technologies and public participation.
A smart city uses digital technologies to improve public and private services while reducing costs and resource consumption. It is based on elements like smart economy, mobility, environment, people, living, and governance. Geographic information systems (GIS) can help develop smart cities by integrating data from multiple sources to help with urban planning, utilities, transportation, and more. 3D GIS allows for accurate vertical and horizontal visualization of infrastructure and buildings to better plan development. Effective policies and stakeholder collaboration are needed to transition cities to being smart.
This document discusses smart cities and their key components. It defines smart cities as places where information technology is used to address urban problems. The main infrastructure elements of smart cities are adequate water, electricity, sanitation, transportation, affordable housing, digitalization, governance, safety, and education. Smart cities in India must focus on technology, energy, the environment, disaster management, and citizen participation through good governance. The smart city mission aims to select 100 cities over five years for retrofitting, redevelopment, or greenfield development using smart solutions.
Smart cities aim to use information and communication technologies to improve efficiency and sustainability in urban areas while reducing costs. Sensors around the city monitor various factors and transmit data to authorities to facilitate better planning. Technologies used include CCTV, traffic sensors, and crime prediction software. At the proposed GIFT City in Gujarat, a smart waste management system uses underground pipes and plasma incineration to efficiently dispose of waste and generate power. The smart city development models include retrofitting existing areas, redeveloping areas over 50 acres, and greenfield development on over 250 acres of vacant land.
This document provides an overview of India's Smart City Mission. It defines a smart city, outlines the history and goals of the mission, and describes key elements like features of smart cities, how they work, selection process, financing, and challenges. The objective is to promote sustainable and inclusive cities through applying smart solutions to infrastructure and services in selected areas of cities. The mission will cover 100 cities over 5 years with equal funding of Rs. 100 crore per city annually from central and state/local governments.
What is Smart Cities? The Concept of Smart Cities, What are Smart Governance, Smart Citizen, Smart Energy, Smart Technology, Smart Infrastructure, Smart Mobility, Smart Building and Smart Healthcare
The document discusses smart cities, defining them as urban areas that use technology and data to improve infrastructure and services for citizens. It provides an overview of key smart city components like smart transportation, buildings, infrastructure and governance solutions. The document also outlines India's Smart Cities Mission initiative and its goals of improving quality of life through efficient urban planning and management. Case studies and literature reviews on smart city projects are presented to illustrate best practices and research in the field. Civil engineers play an important role in designing sustainable and efficient infrastructure to enable smart city solutions.
2015. ICRISAT. GIS and SDI for sustainable developmentFOODCROPS
GIS and spatial data infrastructure (SDI) are being used extensively in international development to help monitor and evaluate projects, assess poverty, ensure food and water security, provide humanitarian assistance, conduct cadastral surveys and land registration, manage disasters, and aid demining efforts. Key applications include poverty mapping, project tracking, precision agriculture, groundwater analysis, refugee management, land titling, hazard assessment, and response coordination. Over 110 million landmines across 64 countries also pose an ongoing threat addressed using geospatial technologies.
The document discusses definitions and perspectives on smart cities from different sectors such as technology, research, environment, and government. It defines a smart city as one that uses technology and data to enhance quality of life, save money, and improve decision making. The document also examines challenges facing cities like aging infrastructure, economic changes, and budget cuts. It identifies technology, infrastructure, governance, collaboration, and engaged citizens as key success factors for smart cities. People are seen as central to driving and sustaining changes enabled by smart city initiatives.
This document discusses using big data analytics for smart cities. It defines smart cities and big data, and explains how large amounts of data are generated from various sources. The document outlines some benefits of smart cities, such as efficient resource utilization and improved quality of life. It also discusses challenges of using big data for smart cities, like data quality issues and privacy/security concerns. Several real-world examples are provided, such as using big data for smart traffic lights and smart grids. Key requirements for implementing big data applications for smart cities are also covered, such as the need for advanced algorithms and data standards.
Cities are a driving force in generating the world’s economic growth. All around the world, urbanization is a growing trend. Challenges arise as more and more people concentrated in the limited urban spaces, with outdated infrastructure, leading to a rapid increase in resource consumption and emissions. The principal challenges for cities, around the globe, are to deliver better services while being globally competitive, and meeting climate targets.
Limited resources need to be managed in an efficient way. At the same time, societal development must be addressed and the focus put on people’s wellbeing. The pressure is growing to reduce our environmental impact, and there is a parallel compelling need for businesses to remain globally competitive. Expenditures on improving energy efficiency, modernizing infrastructure and creating a high-quality living, and working environments, are enormous. At the same time, cities have limited financial resources for governance and services.
The sustainable transformation of cities is only possible when it is done in a smart way. Smart systems and their integration need to be developed, not only to provide the services that people need but also to do so efficiently with minimum impact on the environment Regarding the urban spaces as living ecosystems, the smart city design, and planning, operation, and management, needs to be done at the system level. Sub-optimization of individual city components will not lead to the optimal performance of the all system. Multi-target optimization is not an easy task, but it becomes necessary as different components and systems are interlinked and interconnected – irrespective of where they are physically located.
Innovation in the form of 'smart city solutions' can deliver technologies, products, and services that meet the dual challenges of reducing greenhouse gas emissions and delivering more efficient services. Cities worldwide are modernizing and becoming poles of competitive strength.
The rapid development, and globalization, of information and communication technologies (ICT), can support the deployment of these solutions and their integration at system level. Applications as local small-scale energy production, as well as the transport solutions, for example, are the key enablers for cities becoming more resource-efficient while better meeting the users’ needs. It can be said that efficient ICT, where the Internet of Things has a central role, is a common dominator: tying together services, residency, mobility, infrastructure, and energy.
inCitu maps the world's future built environment into augmented reality, using state-of-the-art visualizations and data to empower developers, governments, and citizens to collaborate on the future of cities.
This document provides an overview of smart cities in India according to the government's definition. It outlines the key components of smart cities including smart economy, mobility, environment, housing, utilities, and governance. It discusses different strategies for developing smart cities such as retrofitting existing areas, redeveloping areas, and developing new greenfield sites. The government's Smart Cities Mission aims to develop 100 cities by focusing on adequate infrastructure and quality of life through technology and public-private partnerships. Examples provided include the Gujarat International Finance Tec City being developed as a global finance and IT hub.
The document discusses smart cities and their objectives. It defines a smart city as one that uses technology to provide services and solve city problems, such as improving transportation, social services, sustainability, and citizen engagement. The main goals of smart cities are to improve efficiency, reduce waste, and maximize social inclusion. Specific objectives mentioned include improving safety, sustainability, efficiency, equality, and citizen engagement. The document then discusses the history of smart cities and how current models involve public participation. It provides examples of how smart cities can benefit society through data-driven decision making, enhanced citizen engagement, safer communities, reduced environmental footprint, improved transportation, increased digital equity, new economic opportunities, and increased workforce engagement.
The white paper discusses the history, risks, advantages and disadvantages of Smart Cities with a focus on its economic benefits, cost of implementation and challenges. It includes a case study of Smart City development in Dubai.
Content:
– Executive Summary
– What is a Smart City?
– History
– Advantages
– Disadvantages
– Challenges and Keys to Successful Implementation
– Risks
– Economic Benefits
– Cost of Implementation
– Building Blocks
– Expert Opinion
– Case Study
– Future
– Conclusion
INTRODUCTION TO GIS AND GEOREFRENCING.pptxMEGHANA S
Georeferencing is the name given to the process of transforming a scanned map or aerial photograph so it appears “in place” in GIS. By associating features on the scanned image with real world x and y coordinates, the software can progressively warp the image so it fits to other spatial datasets.
This document discusses various models of smart cities proposed by different organizations. It describes Boyd Cohen's "wheel model" which identifies six dimensions of a smart city: smart economy, smart environment, smart living, smart mobility, smart governance, and smart people. It also discusses IBM's model which views a city as a tripod with three pillars: infrastructure, people, and operations. Hitachi's model defines a smart city as having three layers: urban services layer, urban lifestyle layer, and infrastructure layer. The document provides details on each model's approach and key components of a smart city.
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Know the project kickoff meeting and project execution planNI BT
Do you want to know about the proper Project Execution Plan in BIM? The concepts of Project KickOff Metting and BIM Set Up is explained regarding Project Execution Plan. These details will guide you in future. You can take the NIBT's course to learn regarding the Setup and Project Kickoff Meeting.
BIM (Building Information Modeling) is a process that enables collaborative work through digital modeling and data sharing between project participants from conception to completion. It allows visualization of a building before construction and management across its lifecycle. While BIM began in the 1990s, its use and capabilities have expanded greatly in recent decades. The future of BIM is promising, with the potential to design, build, and manage infrastructure more efficiently using the wealth of data collected. India's construction industry is poised to fully adopt BIM in the next 4-5 years, transforming the sector and creating a multi-billion dollar BIM industry.
Check on the opportunities after completing bim hvac coursesNI BT
HVAC (Heating, Ventilation, & Air Conditioning) is very essential when it comes to modeling buildings like residential, commercial, marine constructions, etc. Employers look for people talented in Autodesk Revit and BIM in HVAC. Hence, it is beneficial to do NIBT's HVAC courses and get HVAC training
Know how to Transfer Views, Family Types, Elements within Revit ProjectsNI BT
Know how to Transfer Views, Family Types, Elements within Revit Projects Let's understand how the system family types, drafting views, etc. can be transferred between projects also check the Ways to Transfer Revit Families from One Project to Another
Here are some basic tips for creating schedule or quantity in Revit. There are lots of schedule types such as Graphics Column Schedules Material Takeoff Schedules, Key Schedules and many more. Learn and understand it to enhance your skill sets in Revit.
Learn Generic Annotations for the users of AutoCAD, a Generic Annotation Symbol in Revit is a block with attributes from AutoCAD. Understand in brief What Is Generic Annotations in Revit? Also, check how to create a generic schedule and enhance your learning
"Understand the concept of Revit detailing drawings. As generating a good set of construction, drawings play an essential factor for making the excellent model of BIM (Building Information Modeling)
The article gives you the complete knowledge about the benefits of Service Detailing in Revit MEP. Are you aware of annotation and tagging in Revit? Lets take the first step by knowing the concepts of Annotation and Tagging in Revit.
Get detailed information on choosing LiDAR or photogrammetry for 3D mapping and surveying from your UAV. Also, know when you should use them both? And check which one is the best, Drone LiDAR or Photogrammetry?
Annotation is text set in a drawing to define a component or line and display its tag data and features. Annotations can be connected or unconnected to the component or line. Connected annotations will update if the component data changes. You can annotate components and lines to classify them as unique objects. Default tag formats are used for various components like equipment, valves, and pipes. These include tags for equipment type-number, valve code-number, and pipeline size-spec-service-line number. If complex tag formats are needed, the project manager may have modified the defaults.
Photogrammetry predicts infrastructure problems before they happenNI BT
Photogrammetry plays a varied role in Predicts Infrastructure Problems like bridges, dams, and skyscrapers. Photogrammetry and UAV technologies, it is now possible to detect the issue before they arise and thus can save lives as well as money in the process.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
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3. www.nibt.education
Introduction
• The size of the Earth seems to be the same from the time of the Big Bang
up to now, but everything else has escalated in numbers. The escalation
we are referring to is, human population, and the need for construction
and housing for everybody on the surface of the earth. Dwindling
resources and space deficits has put mankind on the brink of destroying
natural habitats, in doing so, creating a complete ecological imbalance.
Thus, we absolutely need to think about positive urbanization through
smart cities.
• Various technologies can be integrated to form a robust platform wherein
a city can be developed through zero deforestation, conservation of
natural resources, and the use required technology for it to function on a
daily basis.
4. www.nibt.education
What is the “Smart City” Buzz after all?
• “Smart Cities” has been the buzzword for most of the people around.
While most of them do understand the words, they actually do not
understand the core motto of what a smart city is all about. The definition
of a smart city holds much more than just being smart. Most of the people
feel there is no definition of a smart city, and it depends on one’s choice
on how and what should be included in a city to make it smart.
• People need to find trust in the technology they are participating in, they
are more likely to engage if they gain trust over technology.
5. www.nibt.education
• While some would like cleaner sources of drinking water, better sewage,
transportation, and more to be a part of a smart city, others would prefer
a city going digital through Wifi, IoT, artificial intelligence, surveillance,
renewable sources of energy, and more. Every citizen has their
preferences, but we do need to define these two words for the people to
understand it on a broader perspective.
• So, a smart city would be, or can be defined as a city that is equipped with
good basic infrastructure, providing optimum living conditions for citizens
through the integration of innovative smart solutions.
7. www.nibt.education
Some of the smart joiners would be –
• The Government
• Manufacturing
• Digital Communications
• Smart & responsible citizens
• Smart data
• Healthcare
• Energy Systems
• Transportation
8. www.nibt.education
GIS – A technology framework made for Smart Cities
• Geographic Information System or GIS plays a vital role to transform a
normal operating city into a “smart city”. The last blog focused
on LIDAR as a tool to collect data points, for smart urban planning through
streams of data and mapping techniques. In this blog we are going to
determine the applications of core GIS technology as a platform for smart
cities.
9. www.nibt.education
Pinpoint the right location
• Geographic Information Systems (GIS) can accurately pinpoint potential areas or
locations based on land geographies, boundaries, various soil types, and more. Building
a city on required land sites is vital for all the stakeholders who would be investing and
staying in that particular city. Better or informed decision can be made through high
quality visualization tools for identification and valuation of the topography, some of
the parameters in addition to the ones mentioned above would be soil bearing capacity,
water depth, vulnerability points for earthquakes, floods, etc. It gives construction
owners, consultants, and other personnel to understand the land at precision details.
• The integration of Building Information Modeling or BIM with GIS can make city
planning efficient and effective in every dimension, we have already mentioned the
importance of BIM in the previousblogs. Moving further to the next pointer……
11. www.nibt.education
Plan ahead through precise designs
• As mentioned above BIM can prove to be a vital backbone with GIS to
integrate 3D modeling using state-of-the-art CAD or other software for
greater visual and information insight. Digitization of data in real-time
through geodata, spatial databases, integrated architecture, or big data
analysis can prove to be a huge positive for individuals to study the land
more carefully and gain improved efficiencies, optimal use of resources,
and deeper insights on man-made and natural phenomenon. Moving On..
13. www.nibt.education
GIS and Project Management
• Construction companies require precise numbers on various parameters
like land type, nature of the soil, vulnerability assessments, and relevant
information to move forward and create and plan engineering drawings,
maps, inventory, and various asset controls. For example, if individuals and
companies were to build a city on land that has earthquake vulnerabilities,
bad soil, etc. would prove to be a complete failure in terms of
urbanization.
• GIS thus helps construction companies organize vital data in terms of
documents, 3Dmodels, drawings, maps, and more for all the stakeholders
to analyze.
15. www.nibt.education
Holistic Planning
The robust nature of GIS makes it so powerful as it can be used for multiple planning purposes like –
• Transportation Planning – Can be used to design transportation systems to avoid congested areas.
• Surveying – Precise survey information can be used to determine nature of the land system.
• Traffic Planning – The application of traffic density planning provides accurate data to identify
traffic patterns & create optimum traffic planning for the city.
• Energy Requirements – GIS technology is also deployed to estimate energy consumption of a city
through precise information on the basis of number of residential, commercial, healthcare, and
various infrastructure units built or to be built in a given area or city.
• Agriculture Planning – Agriculture plays a very important role for the Indian economy. It is one of
the most vital sector for all the people of India, as India is a substantial exporter of agriculture
products, as well as one of the biggest markets that caters to the Indian public in terms of
vegetables, fruits, employment, and more. GIS can accurately pinpoint potential agriculture
locations and areas for each crop type on the basis of water collection, soil type, and land quality.
17. www.nibt.education
Come Full Circle
• Now that you’ve seen multiple uses of GIS for vital practical applications, it
is essential that a greater number of individuals look at GIS as a career
opportunity, as the avenues are absolutely endless. Students and
technology professionals can actually enroll for various GIS
courses provided by training institutes in India. The innovation and
integration of GIS in the future will certainly create waves for various
applications in geospatial analysis, construction, smart cities, and more.
• Source: https://blog.nibt.education/2018/07/build-up-smart-cities-through-positive-urbanization-geographic-information-
systems-gis/