Modeling competitive multi-modal transit services: a nested logit approach

被引:60
作者
Lo, HK [1 ]
Yip, CW [1 ]
Wan, QK [1 ]
机构
[1] Hong Kong Univ Sci & Technol, Dept Civil Engn, Hong Kong, Hong Kong, Peoples R China
关键词
travel choice; public transport; multi-modal networks; traffic congestion; fare competition;
D O I
10.1016/j.trc.2004.07.011
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
In metropolitan areas where multi-modal trips are common, modeling the combined-mode choices of travelers, and the strategic interactions between the private service operators are important issues. This study developed a novel network approach, designated as state-augmented multi-modal (SAM) network, to explicitly consider transfer behaviors and non-linear fare structures. To overcome the independence of irrelevant alternatives (IIA) assumption associated with the standard logit approach, we integrated the SAM network with the nested logit (NL) approach. Specifically, we developed a three-level NL choice model to deal with the complex and inter-related decisions in a multi-modal network: the first level focuses on combined-mode choice, the second on transfer location choice, and the third on route choice. Using this NL SAM network as a platform, we examined the effect of fare competition on company profitability as well as on overall network congestion. A case study of the ground transportation system connecting the Hong Kong International Airport to the downtown area is provided to illustrate the approach. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:251 / 272
页数:22
相关论文
共 20 条
[11]   Traffic equilibrium problem with route-specific costs: formulation and algorithms [J].
Lo, HK ;
Chen, A .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2000, 34 (06) :493-513
[12]   Modeling transfer and non-linear fare structure in multi-modal network [J].
Lo, HK ;
Yip, CW ;
Wan, KH .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2003, 37 (02) :149-170
[13]   A methodology for sustainable traveler information services [J].
Lo, HK ;
Szeto, WY .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2002, 36 (02) :113-130
[14]   Shortest viable path algorithm in multimodal networks [J].
Lozano, A ;
Storchi, G .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2001, 35 (03) :225-241
[15]  
McFadden D., 1973, CONDITIONAL LOGIT AN
[16]   EQUILIBRIUM TRAFFIC ASSIGNMENT FOR LARGE-SCALE TRANSIT NETWORKS [J].
NGUYEN, S ;
PALLOTTINO, S .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1988, 37 (02) :176-186
[17]   A stochastic transit assignment model considering differences in passengers utility functions [J].
Nielsen, OA .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2000, 34 (05) :377-402
[18]   OPTIMAL STRATEGIES - A NEW ASSIGNMENT MODEL FOR TRANSIT NETWORKS [J].
SPIESS, H ;
FLORIAN, M .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 1989, 23 (02) :83-102
[19]   FORMATION OF TRAVEL DEMAND MODELS AND ECONOMIC EVALUATION MEASURES OF USER BENEFIT [J].
WILLIAMS, HCWL .
ENVIRONMENT AND PLANNING A, 1977, 9 (03) :285-344
[20]   TRANSIT EQUILIBRIUM ASSIGNMENT - A MODEL AND SOLUTION ALGORITHMS [J].
WU, JH ;
FLORIAN, M ;
MARCOTTE, P .
TRANSPORTATION SCIENCE, 1994, 28 (03) :193-203