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Grant: Discovery Grants Program - Individual

Ryerson University

$4,891.00

Multimodal Systems Design with Network Interactions

EF 2015-16

Résumé
There is an increasing interest in multimodal transportation to support urban mobility. The Government of Canada invested over $5 billion in federal public transit-related infrastructure since 2000-2001, and has identified public transit as one of five national priorities under the Building Canada Fund. Yet, many public transport agencies continue to plan and operate using the most conventional systems and alternatives, despite the growth in mobile technologies and alternative multimodal transport business models (e.g. startups like Zipcar, SF Park). This is because computer models cannot answer, for example, ""How would the flow of cars, transit, and bikes shift if parking facility fees or Zipcar rates in downtown were subsidized by 10%?"" To better understand multimodal systems, new designs need consideration. Multiple transport operators (e.g. public agencies like Metrolinx and Toronto Transit Commission, or private companies like BIXI bike sharing in Toronto) will interact more as urban regions become denser. Transport systems (both public and private, large and small) do not exist in a vacuum, but many operators of these systems continue to assume so when planning new designs. Conflicts and missed cooperative opportunities may arise. The few that consider competition between operators focus only on conventional fixed route transit service (e.g. bus and train service), but not on the wider range of modern multimodal systems that can include parking, car sharing, or demand responsive transit. This research addresses these problems to enable the design of modern multimodal solutions for mega-region development. First, new models will be developed to analyze household travel demand for most multimodal alternatives in a unified, activity-based manner. Second, these models will be used to study different multimodal interactions in design strategies between transport system operators using game theory and multiobjective optimization. The outcome may reduce potential conflicts between agencies and encourage cooperative or mutualistic strategies to improve social welfare and urban sustainability.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
435172-2013
Name nom
Chow, Joseph
Department département
Civil Engineering
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2013
Award amount
4891
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
700
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Transportation systems and services
Area of application fr
Services et systèmes de transport
Research subject code
1003
Research subject group en
Civil engineering
Research subject group fr
Génie civil
Research subject en
Transportation engineering
Research subject fr
Génie du transport
Partie
3
Nb partie
3
Application title
Multimodal Systems Design with Network Interactions
Keyword
NSERC
Application summary
There is an increasing interest in multimodal transportation to support urban mobility. The Government of Canada invested over $5 billion in federal public transit-related infrastructure since 2000-2001, and has identified public transit as one of five national priorities under the Building Canada Fund. Yet, many public transport agencies continue to plan and operate using the most conventional systems and alternatives, despite the growth in mobile technologies and alternative multimodal transport business models (e.g. startups like Zipcar, SF Park). This is because computer models cannot answer, for example, ""How would the flow of cars, transit, and bikes shift if parking facility fees or Zipcar rates in downtown were subsidized by 10%?"" To better understand multimodal systems, new designs need consideration. Multiple transport operators (e.g. public agencies like Metrolinx and Toronto Transit Commission, or private companies like BIXI bike sharing in Toronto) will interact more as urban regions become denser. Transport systems (both public and private, large and small) do not exist in a vacuum, but many operators of these systems continue to assume so when planning new designs. Conflicts and missed cooperative opportunities may arise. The few that consider competition between operators focus only on conventional fixed route transit service (e.g. bus and train service), but not on the wider range of modern multimodal systems that can include parking, car sharing, or demand responsive transit. This research addresses these problems to enable the design of modern multimodal solutions for mega-region development. First, new models will be developed to analyze household travel demand for most multimodal alternatives in a unified, activity-based manner. Second, these models will be used to study different multimodal interactions in design strategies between transport system operators using game theory and multiobjective optimization. The outcome may reduce potential conflicts between agencies and encourage cooperative or mutualistic strategies to improve social welfare and urban sustainability.