What aspects of traffic intensity most influence cycling mode choice? A study of commuting in Surrey, UK

This study furthers existing research on the link between the built environment and travel behavior, particularly mode choice (auto, transit, biking, walking). While researchers have studied built environment characteristics and their impact on mode choice, none have attempted to measure the impact of zoning on travel behavior. By testing the impact of land use regulation in the form of zoning restrictions on travel behavior, this study expands the literature by incorporating an additional variable that can be changed through public policy action and may help cities promote sustainable real estate development goals. Using a unique, high-resolution travel survey dataset from Denver, Colorado, we develop a multinomial discrete choice model that addresses unobserved travel preferences by incorporating sociodemographic, built environment, and land use restriction variables. The results suggest that zoning can be tailored by cities to encourage reductions in auto usage, furthering sustainability goals in transportation.

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A Study of Taxi Service Mode Choice Based on Evolutionary Game Theory

Journal of Advanced Transportation ◽

10.1155/2019/8607942 ◽

2019 ◽

Vol 2019 ◽

pp. 1-17

Author(s):

Zhu Bai ◽

Mingxia Huang ◽

Shuai Bian ◽

Huandong Wu

Keyword(s):

Game Theory ◽

Evolutionary Game Theory ◽

Mode Choice ◽

Evolutionary Game ◽

Payoff Matrix ◽

Game Model ◽

Stable States ◽

Taxi Service ◽

Service Mode ◽

The Impact

The emergence of online car-hailing service provides an innovative approach to vehicle booking but has negatively influenced the taxi industry in China. This paper modeled taxi service mode choice based on evolutionary game theory (EGT). The modes included the dispatching and online car-hailing modes. We constructed an EGT framework, including determining the strategies and the payoff matrix. We introduced different behaviors, including taxi company management, driver operation, and passenger choice. This allowed us to model the impact of these behaviors on the evolving process of service mode choice. The results show that adjustments in taxi company, driver, and passenger behaviors impact the evolutionary path and convergence speed of our evolutionary game model. However, it also reveals that, regardless of adjustments, the stable states in the game model remain unchanged. The conclusion provides a basis for studying taxi system operation and management.

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A mixed Bayesian network for two-dimensional decision modeling of departure time and mode choice

Transportation ◽

10.1007/s11116-017-9770-6 ◽

2017 ◽

Vol 45 (5) ◽

pp. 1499-1522 ◽

Cited By ~ 9

Author(s):

Zheng Zhu ◽

Xiqun Chen ◽

Chenfeng Xiong ◽

Lei Zhang

Keyword(s):

Bayesian Network ◽

Mode Choice ◽

Decision Modeling ◽

Two Dimensional ◽

Departure Time

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The impacts of mediating the work environment on the mode choice in work trips

Open Engineering ◽

10.1515/eng-2021-0058 ◽

2021 ◽

Vol 11 (1) ◽

pp. 592-605

Author(s):

Melchior Bria ◽

Ludfi Djakfar ◽

Achmad Wicaksono

Keyword(s):

Work Environment ◽

Public Transportation ◽

Travel Behavior ◽

Structural Equation ◽

Mode Choice ◽

Equation Modeling ◽

Rapid Transit ◽

Long Time ◽

Socio Economic Variables ◽

The Relationship

Abstract The impacts of work characteristics on travel mode choice behavior has been studied for a long time, focusing on the work type, income, duration, and working time. However, there are no comprehensive studies on the influence of travel behavior. Therefore, this study examines the influence of work environment as a mediator of socio-economic variables, trip characteristics, transportation infrastructure and services, the environment and choice of transportation mode on work trips. The mode of transportation consists of three variables, including public transportation (bus rapid transit and mass rapid transit), private vehicles (cars and motorbikes), and online transportation (online taxis and motorbike taxis online). Multivariate analysis using the partial least squares-structural equation modeling method was used to explain the relationship between variables in the model. According to the results, the mediating impact of work environment is significant on transportation choices only for environmental variables. The mediating mode choice effect is negative for public transportation and complimentary for private vehicles and online transportation. Other variables directly affect mode choice, including the influence of work environment.

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