Travel modal choice analysis for traffic corridors based on decision-theoretic approaches
Autor: | Jianming Hu, Yi Zhang, Jiaxuan You, Wei Guo, Xin Pei |
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Rok vydání: | 2016 |
Předmět: |
050210 logistics & transportation
Engineering Operations research business.industry 05 social sciences Metals and Alloys General Engineering Mode (statistics) Decision field theory 010501 environmental sciences 01 natural sciences Transport engineering Modal Beijing Traffic congestion Order (exchange) Public transport 0502 economics and business TRIPS architecture business 0105 earth and related environmental sciences |
Zdroj: | Journal of Central South University. 23:3028-3039 |
ISSN: | 2227-5223 2095-2899 |
DOI: | 10.1007/s11771-016-3366-8 |
Popis: | The rapid development of multimodal transportation system prompts travellers to choose multiple transportation modes, such as private vehicles or taxi, transit (subways or buses), or park-and-ride combinations for urban trips. Traffic corridor is a major scenario that supports travellers to commute from suburban residential areas to central working areas. Studying their modal choice behaviour is receiving more and more interests. On one hand, it will guide the travellers to rationally choose their most economic and beneficial mode for urban trips. On the other hand, it will help traffic operators to make more appropriate policies to enhance the share of public transit in order to alleviate the traffic congestion and produce more economic and social benefits. To analyze the travel modal choice, a generalized cost model for three typical modes is first established to evaluate each different travel alternative. Then, random utility theory (RUT) and decision field theory (DFT) are introduced to describe the decision-making process how travellers make their mode choices. Further, some important factors that may influence the modal choice behaviour are discussed as well. To test the feasibility of the proposed model, a field test in Beijing was conducted to collect the real-time data and estimate the model parameters. The improvements in the test results and analysis show new advances in the development of travel mode choice on multimodal transportation networks. |
Databáze: | OpenAIRE |
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