Active modes and urban mobility: outcomes from the ALLEGRO projectSerge Hoogendoorn
In this presentation, we present some examples of the main outcomes of the ALLEGRO project so far. The talks starts with showing how active mode traffic can play a major role given that cities are getting denser.
Short talk impact Covid-19 on supply and demand during the RA webinarSerge Hoogendoorn
We sketch a conceptual framework showing (lasting) impact on demand and supply. We illustrate complications at the supply side due to changing behaviour. We show how to include interventions and how to assess them.
Presentation about active mode transport given at the AITPM workshop on active mode mobility. Provides overview of our pedestrian research and the first results of the ALLEGRO project.
ECOMM conference presentation, May 2015citizensrail
Presentation as part of the EU Citizens' Rail project, delivered by Nick Davies (University of Central Lancashire, UK), Marco Trienes (RWTH Aachen University, Germany) and Dominik Elsmann (formerly of RWTH Aachen University, now at Aachen's transport authority, AVV).
Wang et al DRT Greater Manchester presentation TRB 2012Chao Wang
This document summarizes research analyzing factors that influence demand for demand responsive transport (DRT) services in Greater Manchester, England. The researchers used multilevel modeling to analyze DRT trip data from 16 service areas. The models found that population density, ethnicity, proportion of people working from home, and levels of socioeconomic deprivation significantly impacted DRT demand. Specifically, DRT has potential in low-density, deprived areas with many white residents and few people working from home. The researchers suggest further examining service-level factors and exploring DRT demand in rural areas.
Presentation given during the 2016 conference Analysis and Control on Networks: trends and perspectives in Padua, Italy. Presentation provides an engineerings perspective on the various issues with see with the modelling and management of crowds, and some of the new modelling approaches.
Vision on Smart Urban Mobility given during the AITPM conference in Sydney. Talk was about key elements needed to provide the urban transportation system for the future. See http://www.aitpm.com.au/Conference/Program/conference-home for the conference details.
Active modes and urban mobility: outcomes from the ALLEGRO projectSerge Hoogendoorn
In this presentation, we present some examples of the main outcomes of the ALLEGRO project so far. The talks starts with showing how active mode traffic can play a major role given that cities are getting denser.
Short talk impact Covid-19 on supply and demand during the RA webinarSerge Hoogendoorn
We sketch a conceptual framework showing (lasting) impact on demand and supply. We illustrate complications at the supply side due to changing behaviour. We show how to include interventions and how to assess them.
Presentation about active mode transport given at the AITPM workshop on active mode mobility. Provides overview of our pedestrian research and the first results of the ALLEGRO project.
ECOMM conference presentation, May 2015citizensrail
Presentation as part of the EU Citizens' Rail project, delivered by Nick Davies (University of Central Lancashire, UK), Marco Trienes (RWTH Aachen University, Germany) and Dominik Elsmann (formerly of RWTH Aachen University, now at Aachen's transport authority, AVV).
Wang et al DRT Greater Manchester presentation TRB 2012Chao Wang
This document summarizes research analyzing factors that influence demand for demand responsive transport (DRT) services in Greater Manchester, England. The researchers used multilevel modeling to analyze DRT trip data from 16 service areas. The models found that population density, ethnicity, proportion of people working from home, and levels of socioeconomic deprivation significantly impacted DRT demand. Specifically, DRT has potential in low-density, deprived areas with many white residents and few people working from home. The researchers suggest further examining service-level factors and exploring DRT demand in rural areas.
Presentation given during the 2016 conference Analysis and Control on Networks: trends and perspectives in Padua, Italy. Presentation provides an engineerings perspective on the various issues with see with the modelling and management of crowds, and some of the new modelling approaches.
Vision on Smart Urban Mobility given during the AITPM conference in Sydney. Talk was about key elements needed to provide the urban transportation system for the future. See http://www.aitpm.com.au/Conference/Program/conference-home for the conference details.
The document discusses measuring livability, accessibility, and environmental justice through technical toolkits and indicators. It describes developing indicators using available data on topics like sidewalk coverage, bicycle infrastructure, vehicle ownership, and crashes. Charts show indicators for different community types. Limitations include outdated sidewalk data and a lack of bicycle facility implementation tracking. Feedback requested more indicators like transit access. The document outlines measuring environmental justice impacts by identifying low-income and minority populations and comparing transportation plan scenarios.
Title: New Tools for Estimating Walking and Bicycling Demand
Track: Sustain
Format: 90 minute panel
Abstract: Walking and bicycling demand estimates can make a stronger case for investing in new facilities and are necessary inputs to important planning tasks. This session presents state-of-the-art tools to predict walking and bicycling demand at varying geographic scales. Tools include: 1) a framework to incorporate walking into regional travel demand models; 2) a method to estimate bicycle and pedestrian traffic based on count data; 3) new mode choice models; and 4) a web-based repository of non-motorized demand analysis tools.
Presenters:
Presenter: Patrick Singleton Portland State University
Co-Presenter: J. Richard (Rich) Kuzmyak Renaissance Planning Group
Co-Presenter: Greg Lindsey University of Minnesota, Humphrey School
Co-Presenter: Jeremy Raw Federal Highway Administration
Talk given at the kick-off of the ERC MAGnUM PhD week on the ALLEGRO program. The talk gives both an overview of ALLEGRO and then focusses more on active mode traffic operations.
2015 Transportation Research Forum Webinar - Enabling Better Mobility Through...Sean Barbeau
A webinar discussing research conducted by the Center for Urban Transportation Research at the University of South Florida that focuses on using mobile apps to improve mobility on various modes of transportation.
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This document discusses measuring transport-related accessibility restrictions. It defines accessibility and outlines factors that can restrict accessibility like congestion, infrastructure quality, and public transport frequency and reliability. The document then describes a case study measuring accessibility in Madrid using speed profiles, public transport schedules, and origin-destination matrices. The results show spatial patterns of congestion impacts, intermodal disparities between car and public transport accessibility, and impacts of public transport schedule frequency. Integrating biking and public transport is presented as a potential improvement to address accessibility restrictions.
The document discusses Seoul's Connected Urban Development program and its initiatives to promote smart transportation, including Smart Transportation Pricing, Smart Work Centers, Personal Travel Assistants, and Connected Buses. The goals are to reduce traffic congestion, encourage public transit and more sustainable travel options, and improve citizens' transportation experiences through real-time information and integrated payment systems. Key features for each initiative and their anticipated impacts on traffic, the environment, and mobility patterns are described.
Multimodal Impact Fees - Using Advanced Modeling ToolsJonathan Slason
This document discusses transportation impact fees and how to account for multimodal capacity. It notes that comprehensive transportation master planning now incorporates multimodal travel beyond single modes. Land use changes have led to more urban development patterns that support non-auto travel. Transportation impact fees are used to fund necessary mobility infrastructure for new development but traditionally focused on roads; there are now challenges in properly accounting for and assessing multimodal demand and capacity. The document discusses using both top-down data from travel demand models and bottom-up site-specific data to bridge this gap and set multimodal transportation impact fees.
The document discusses using big data and new technologies to improve transport planning and operations. It provides examples of collecting lifelogging data through wearable sensors to analyze travel behavior, crowdsourced bicyclist data to evaluate infrastructure investments, and using various data sources to examine links between transport and labor market outcomes. The document emphasizes that transport systems need to be re-evaluated in some areas to better match changing job locations and needs of workers.
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A presentation by Mr Bill Cameron (Director: Public Transport: DOT) at the Transport Forum Month of Transport Celebrations 1 October 2015 hosted by University of Johannesburg. The theme for the event was: "Trends in Policy Development for Transport" and the topic for the presentation was: "Policy Conundrums in Urban Transport."
More like this on www.transportworldafrica.co.za
This document summarizes a presentation on improving customer experience for public transit systems. It discusses how customer expectations have risen with advances in technology and information availability. Recent research approaches to better understand customer travel patterns using automated fare collection and vehicle location data are presented, including measuring service reliability from the customer perspective and developing customer classification systems. Improving real-time information for customers during their journeys and integrating payment and traveler information on mobile devices are seen as important future directions.
This document is a citizen survey report from April 2016 that summarizes key findings from a survey of College Station residents. The survey assessed quality of life, satisfaction with city services, priorities for the city, and opinions on growth and development. Key findings include high ratings for quality of life and most city services. Managing traffic congestion was identified as the biggest opportunity for improvement. When asked for priorities, residents emphasized public safety, managing growth and traffic, and maintaining parks and recreation opportunities.
Camila Balbontin - Do preferences for BRT and LRT change as a voter, citizen,...BRTCoE
Camila Balbontin is a Postgraduate Research Fellow at the Institute of Transport and Logistics Studies (ITLS) of University of Sydney. In February 2018, she completed her PhD under the supervision of Professor David Hensher where she focused on integrating decision heuristics and behavioural refinements into travel choice models. She was awarded the ITLS prize for Research Excellence in Transport or Logistics 2017. Camila also holds a bachelor degree in the field of Civil Engineering with a diploma in Industrial Engineering and in Transportation and Logistics from Pontificia Universidad Católica de Chile. She did her MSc degree at the same university under the supervision of Professor Juan de Dios Ortúzar. Her MSc thesis estimated the valuation of households and neighbourhood attributes in the centre of Santiago.
As a Postgraduate Research Fellow, her main focus is choice modelling and travel behaviour. She is currently working on projects related to the BRT Centre of Excellence, business location decisions, hybrid modelling, value uplift, among others.
Working Paper - http://sydney.edu.au/business/itls/research/publications/working_papers
The study aims to quantify how people make trade-offs to avoid junctions by taking additional time along routes with and without cycle facilities in the UK context. A video based stated preference survey and analysis is undertaken to investigate how people feel approaching junctions, determine the relative importance of the features of junctions, determine how cycle facilities compensate the exposure of right turn risks at junctions at the cost of additional time and identify the person type factors that also influence choice. Primary data is used for the study. The survey work for the primary data constituted a major part of the study.
This document announces a workshop on integrating new mobility services into public transport. The workshop will take place on June 27, 2019 in Fortaleza, Brazil, and will discuss trends in urban transportation including shared mobility services, mobility as a service concepts, and autonomous vehicles. It will explore how these new mobility options can help improve public transportation systems in Latin American cities to better serve populations that currently lack good transportation access. The agenda includes presentations from transportation leaders in Fortaleza, Goiania and Sao Paulo on integrating bikesharing, regulating ride-hailing services, and shared mobility experiences.
The document provides an overview of a Mobility as a Service (MaaS) trial taking place in Sydney through a partnership between the University of Sydney, IAG, and Skedgo. The trial will explore appropriate transport mixes and subscription plans for MaaS users. It will test how MaaS can influence travel behavior and assess Sydney's transport network readiness for MaaS. The trial involves multiple public and private transportation services that can be accessed and paid for through a single platform. It will begin with a pay-as-you-go period to familiarize users followed by subscription plan options based on data collected.
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For public transportation problem there are some analytic hierarchical processes for decision support, however there only very few applications which consider the interrelations between the public transport supply quality factors. Because representing the problem by the analytic network process is more similar to real situations where the factors act in a non hierarchical way. The paper aims to analyze the interrelation and the importance of relevant factors in public transportation systems by using the analytic network process, that support the decision makers to evaluate the impacts of different criteria in the final result.
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Working Paper - http://sydney.edu.au/business/itls/research/publications/working_papers
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Presented by Gabriel Oliveira, Gabriel Oliveira, ITDP Brazil Public Transport Coordinator, on September 20th, 11:30 Brasilia Time Zone.
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Summary:
Between 2004 and 2014, the total extension of BRT systems almost quadrupled worldwide, rising from about 700 km to 2,600 km (ITDP, 2014). In an effort to monitor and guarantee an standard quality of service across systems, the Institute of Transport and Development Policy (ITDP) has consolidated, along with BRT planning experts and practitioners, a project and operations evaluation tool: the BRT Standard. The tool is divided in seven categories and 42 quantitative metrics that allow further comprehension of BRT state of the practice. It has been used to evaluate more than a hundred corridors in over 60 cities around the world.
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Every month in the Webinar series a member of our team or invited expert, presents either recent research results or a city case study. The presentations are done online allowing people anywhere to participate and ask questions in real-time. The series address issues relevant to researchers and practitioners and is open to everyone using our news website. About 800 subscribers get the announcement directly, you can also sign up for free here.
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Connected and automated trains have been successfully built for decades. And connected and automated cars are promising to become a reality in our streets in the next decade. What about buses? What are the benefits of having buses connected and automated too? This talk will analyse some of these benefits focusing on the prospect of avoiding bus bunching and the impact this may have in the level of service of bus users.
Urban Road Congestion Management - Capacity Investments and Pricing Policies
Buy in for brt over lrt how to inform project planning prioritisation about resident preferences
1. Identifying resident preferences for public
transport investments: a buy-in perspective
David Hensher, Chinh Ho, and Corinne Mulley
Institute of Transport and Logistics Studies
BRT CoE Board Meeting
January 13th, 2015 Washington, D.C.
3. Introduction
› Urban areas face increasing demand for new public transport investments.
› Choices to voters are often not given in terms of alternative costs – so
fixed length projects will have different costs depending on mode
› Public preference is important to understand from the community
perspective
- How government should spend money and gain voter support, and
- To answer questions like
- How the public would temper their preference for a new modern light rail
system if it cost much more than a BRT of the same route length?
› An international comparison is important to see if features of Australia are
common or different from other jurisdictions
- Can we provide common advice to cities to promote BRT that voters (and
therefore politicians) want?
3
4. Drivers of Public Preferences for PT
4
› Relevant factors associated with modal image, service quality and voting
preferences were shortlisted through a best–worst experiment (phase I).
› 20 key drivers are classified into four groups:
- Investment (construction time, route length, population coverage, ROW, maintenance cost)
- Service (capacity, peak and off-peak frequency, travel time vs car, fare vs car-related costs)
- Design (Ticketing, Transfer, boarding, safety and security)
- General characteristics (assured period of operation, risk of closing down after this assured
period, level of attracting business around stations/stops, % car users switch to the system,
environmental friendliness).
› The list of drivers is not complete for some respondents while surplus for
others. The survey instrument accounts for this.
8. The Survey
› Online survey with panels from PureProfile and SSI
› A pilot survey design used D-error measure and distributed to 200
respondents (100 samples from each panel)
› Model estimated on the pilot sample to obtain priors for the main survey
› Stated Choice Experiment redesigned and distributed to 400 PureProfile
respondents
› Model re-estimated on 600 samples to obtain more accurate priors
› SC survey redesigned and distributed to 400 SSI respondents
› Respondents were sought in all Australian capital cities with population-
based quotas applied for each phase
› A total sample of 1,018 respondents was obtained (18 surplus), giving
2,036 observations for final model estimation
8
9. The Sample
City Actual Target
Sydney 271 270
Melbourne 241 240
Canberra 100 100
Brisbane 201 200
Adelaide 80 50
Perth 70 50
Darwin 21 50
Hobart 34 50
Total 1,018 1,010
9
Socio-economic profile Mean (std.dev)
Age (years) 43.84 (15.5)
Proportion full time employed 0.41
Proportion part time employed 0.19
Proportion students 0.17
Working hours per week 20.75 (16.99)
Number of adults in household 2.11 (0.89)
Number of children in household 0.66 (1.03)
Personal income in $1000 62.47 (40.47)
Number of cars in household 1.66 (0.98)
Member of PT association (%) 9
Member of env. association (%) 6
10. Estimation Results using a Random Regret Mixed
Logit model
10
Parameter estimates
(t-values)
Means of random parameters:
Modal option (BRT = 1, LRT = 0) -0.2136 (-3.95)
Construction time (years) -0.0525 (-6.75)
Construction cost ($m) -0.1009 (-7.80)
On-board staff presence (yes=1) 0.2642 (5.27)
Risk of being closed after assured period (yes=1) -0.0009 (-1.25)
Overall environmental friendliness compared to car (%) 0.0097 (5.63)
Non-random parameters:
Percent metro population serviced (%) 0.0295 (7.10)
Percent of route dedicated to this system only (%) 0.0037 (4.37)
Annual operating and maintenance cost ($m) -0.0148 (-3.04)
Service capacity in one direction (‘000s passengers/hour) 0.0135 (5.72)
Peak service frequency (every x mins) -0.0176 (-2.48)
Off- peak service frequency (every x mins) -0.0128 (-2.42)
Travel time (door to door) compared to car (% quicker) 0.0128 (6.41)
Travel cost compared to car (%) -0.0063 (-3.97)
Integrated fare availability (yes=1) 0.2922 (5.92)
Boarding (level =1, step = 0) 0.2002 (4.02)
Respondents in Brisbane (yes=1) 0.4922 (6.12)
11. Estimation Results using a Random Regret Mixed
Logit model (cont)
11
Standard deviation of random parameters:
Modal option (BRT = 1, LRT = 0) 0.6025 (15.77)
Construction time (years) 0.3184 (27.45)
Construction cost ($m) 0.6092 (30.06)
On-board staff presence (yes=1) 0.6770 (19.02)
Risk of being closed after assured period (%) 0.01045 (23.33)
Overall environmental friendliness compared to car (%) 0.0271 (13.54)
12. Resident Preference Model (Fixed Route Length)
› Identifying gains in voter support for BRT in the presence of LRT
12
BRTcosts half LRT to build
BRTcosts 75% LRT to build
BRTserves 50% more people
BRThas no negative prejudice
ROW:BRT 80%, LRT 20%
Voters are not familiar with BRT
BRTcosts half LRT to build
Voters are familiar with BRT
BRTserves 50% more people
-4% -2% 0% 2% 4% 6% 8% 10% 12% 14%
Change to support for BRT
13. Conclusions
› The simulated examples of project planning scenarios show the impact on
preferences and considerable support for BRT by sensible planning
especially
- In situations of lower construction cost
- In a dedicated corridor
› Resident preference model a complementary tool for planning and
evaluation
› The extension to include international comparison offers the opportunity to
establish whether these attributes and the consequent residential
preference model can be generalised.
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