期刊
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
卷 15, 期 7, 页码 524-540出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/15568318.2020.1770906
关键词
Bicycle; cyclist route choice; multi-class; multi-objective shortest path; traffic assignment
资金
- Research Grants Council (RGC) of the Hong Kong Special Administrative Region [15212217]
- Hong Kong Scholars Program [G-YZ1R]
- Research Institute for Sustainable Urban Development at the Hong Kong Polytechnic University [1-BBWF]
- Ministry of Science, ICT, Republic of Korea [K-20-L01-C06-S01]
- Basic Science Research Program through the National Research Foundation of Korea [NRF-2016R1C1B2016254]
- Dwight David Eisenhower Transportation Fellowship Program
- Transportation Research Center for Livable Communities (TRCLC) - U.S. Department of Transportation
Cycling is becoming more popular as a mode of travel, but current transportation planning and travel demand forecasting models do not accurately reflect this shift. This article aims to develop a multi-class and multi-criteria bicycle traffic assignment model that takes into account different types of cyclists and factors affecting route choice decisions.
Cycling is gaining popularity both as a mode of travel in urban communities and as an alternative mode to private motorized vehicles due to its wide range of benefits (health, environmental, and economical). However, this change in modal share is not reflected in current transportation planning and travel demand forecasting modeling processes. The existing practices to model bicycle trips in a network are not sophisticated enough to describe the full cyclist experience in route decision-making. This is evident in the existing practices' methodology: the all-or-nothing assignment uses single attributes such as distance, safety, or a composite measure of safety multiplied by distance. The purpose of this article is to develop a multi-class and multi-criteria bicycle traffic assignment model that not only accounts for multiple user classes by acknowledging that there are different types of cyclists with varying levels of biking experience, but also for relevant factors that may affect each user classes behavior in route choice decisions. The multi-class, multi-criteria bicycle traffic assignment model is developed in a two-stage process. The first stage examines key criteria to generate the set of non-dominated (or efficient) routes for each user class, and the second stage determines the flow allocation to efficient routes by user class. Numerical experiments are then conducted to demonstrate the two-stage approach for the multi-class, multi-criteria bicycle traffic assignment model.
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