首页|A Generalized Comfort Function of Subway Systems Based on a Nested Logit Model

A Generalized Comfort Function of Subway Systems Based on a Nested Logit Model

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With rapid urbanization,subway systems are widely acknowledged as one of the best solutions to urban transportation problems.The operators or managers of subway systems should pay more attention to passenger's perceptions of service quality to maintain its competitive position.Taking the traffic state,efficiency,and environmental impact into consideration,the concept of generalized comfort is proposed in this paper.Based on a nested logit model,the selection probability for each factor in a generalized comfort function can be estimated using a nested structure.A certain factor is considered to be more significant in a generalized comfort function than others,when the corresponding probability of this factor is higher in value.Using stated preference and revealed preference data about passenger travel behavior obtained from the Beijing subway,the parameters of generalized comfort function are estimated by maximum likelihood techniques.

generalized comfortsubway systemnested logit model

Yichen Zheng、Wei Guo、Yi Zhang、Jianming Hu

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Department of Automation, Tsinghua National Laboratory for Information Science and Technology(TNList), Tsinghua University, Beijing 100084, China

This work was partially supported by the National High-Tech Research and Development (863) Program of ChinaNational Key Basic Research and Development (973) Program of ChinaNational Natural Science Foundation of China

2012AA1123052012CB72540560721003 and 61273238

2014

清华大学学报自然科学版(英文版)
清华大学

清华大学学报自然科学版(英文版)

CSCDSCIEI
影响因子：0.474
ISSN：1007-0214
年,卷(期)：2014.19(3)
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