A disaggregate Box-Cox Logit mode choice model of intercity passenger travel in Germany and its implications for high-speed rail demand forecasts

被引:0
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作者
Benedikt Mandel
Marc Gaudry
Werner Rothengatter
机构
[1] Centre de recherche sur les transports,
[2] Université de Montréal,undefined
[3] C.P. 6128,undefined
[4] succursale A,undefined
[5] Montréal,undefined
[6] Canada H3C 3J7,undefined
[7] Institut für Wirtschaftspolitik und Wirtschaftsforschung der Universität Karlsruhe (TH),undefined
[8] Kollegium am Schloß,undefined
[9] Bau IV,undefined
[10] Postfach 6980,undefined
[11] D-76128 Karlsruhe,undefined
[12] Germany,undefined
[13] Bureau d‘économie Théorique et Appliquée,undefined
[14] Université Louis-Pasteur,undefined
[15] B.P. 1032/F,undefined
[16] F-67070 Strasbourg Cedex,undefined
[17] France,undefined
[18] MKmetric Gesellschaft für Systemplanung mbH,undefined
[19] Durlacher Allee 49,undefined
[20] 76131 Karlsruhe,undefined
来源
关键词
Logit Model; Model Attribute; Mode Attribute; Socio Economic Variable; Demand Forecast;
D O I
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中图分类号
学科分类号
摘要
We show that enriching logit mode choice model specification by mode attributes, socio economic variables and trip purpose characteristics significantly improves model quality, and that Box-Cox transformations applied to model attributes imply an asymmetry of the reaction curve, as well as more reasonable properties (diminishing marginal values of time savings, elasticities and values of time that differ among the modes) than those of the linear logit model. Moreover, the model yielded very different high speed rail market shares for Germany than results obtained with the usual linear utility functions.
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页码:99 / 120
页数:21
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