Investigating the joint choice behavior of intercity transport mode and high‐speed rail cabin with a strategy map

Summary This paper investigates the joint choice behavior of intercity transport modes and high-speed rail cabin class within a two-dimensional choice structure. Although numerous studies have been conducted on the mode choice behavior, little is known about the influence of cabin class on their intercity traveling choice. Hence, this study is conducted with a revealed preference survey to investigate the intercity traveling behavior for the western corridor of Taiwan. The results of nested logit model reveal that a cabin strategy has a more significant influence on cabin choice than on mode choice. Furthermore, this study proposes a new strategy map concept to assist transport operators in defining and implementing their pricing strategies. The results suggest that to capture a higher market share, high-speed rail operators should choose an active price reduction strategy, while bus and rail operators are advised to implement a passive price increase strategy to raise unit revenue. Copyright © 2014 John Wiley & Sons, Ltd.

[1]  Juan de Dios Ortúzar,et al.  Modelling the demand for medium distance air travel with the mixed data estimation method , 2008 .

[2]  Chung-Wei Kuo,et al.  Relationships among service quality, corporate image, customer satisfaction, and behavioral intention for the elderly in high speed rail services , 2013 .

[3]  Xin Ye,et al.  An Exploration of the Relationship Between Mode Choice and Complexity of Trip Chaining Patterns , 2007 .

[4]  A. Palma,et al.  Mode choices for trips to work in Geneva: an empirical analysis , 2000 .

[5]  Dongjoo Park,et al.  Access mode choice behaviors of water transportation: a case of Bangkok , 2010 .

[6]  Chih-Wen Yang,et al.  Applying Price and Time Differentiation to Modeling Cabin Choice in High-Speed Rail , 2011 .

[7]  Edoardo Marcucci,et al.  Regional airport choice: Consumer behaviour and policy implications , 2011 .

[8]  Sergio R. Jara-Díaz,et al.  Detection of income effect in mode choice: theory and application , 1989 .

[9]  Concepción Román,et al.  Analyzing the effect of preference heterogeneity on willingness to pay for improving service quality in an airline choice context , 2008 .

[10]  David A. Hensher,et al.  The sensitivity of the valuation of travel time savings to the specification of unobserved effects , 2001 .

[11]  Hun-Koo Ha,et al.  Analysis of the impact of high-speed railroad service on air transport demand , 2006 .

[12]  Concepción Román,et al.  Competition of high-speed train with air transport: The case of Madrid–Barcelona , 2007 .

[13]  S. Jara-Díaz,et al.  Transport demand and users' benefits with fixed income: the goods/leisure trade off revisited , 1987 .

[14]  Piet Rietveld,et al.  Modelling the Joint Access Mode and Railway Station Choice , 2007 .

[15]  Moshe Givoni,et al.  A Review of Ex-Post Evidence for Mode Substitution and Induced Demand Following the Introduction of High-Speed Rail , 2013 .

[16]  Vrinda Kadiyali,et al.  Modeling Multichannel Home Video Demand in the U.S. Motion Picture Industry , 2011 .

[17]  Mark Bradley,et al.  A MODEL FOR TIME OF DAY AND MODE CHOICE USING ERROR COMPONENTS LOGIC , 2003 .

[18]  Lee G. Cooper Competitive Maps: The Structure Underlying Asymmetric Cross Elasticities , 1988 .

[19]  Mark Hansen,et al.  Impact of aircraft size and seat availability on airlines' demand and market share in duopoly markets , 2005 .

[20]  M. Yoon,et al.  Impact of e-business on air travel markets: Distribution of airline tickets in Korea , 2006 .

[21]  Gary J. Russell,et al.  Implications of Market Structure for Elasticity Structure , 1988 .

[22]  David A. Hensher,et al.  HEV Choice Models as a Search Engine for the Specification of Nested Logit Tree Structures , 1999 .

[23]  Gulsah Akar,et al.  Bicycling Choice and Gender Case Study: The Ohio State University , 2013 .

[24]  K. Train,et al.  Forecasting new product penetration with flexible substitution patterns , 1998 .

[25]  Gary J. Russell,et al.  A Probabilistic Choice Model for Market Segmentation and Elasticity Structure , 1989 .

[26]  Chih-Wen Yang,et al.  Constructing a mixed-logit model with market positioning to analyze the effects of new mode introduction , 2010 .

[27]  D. McFadden,et al.  MIXED MNL MODELS FOR DISCRETE RESPONSE , 2000 .

[28]  J. Yates,et al.  Discrete Choice Modelling of Urban Housing Markets: A Critical Review and an Application , 2006 .

[29]  Stephane Hess,et al.  Treatment of reference alternatives in stated choice surveys for air travel choice behaviour , 2008 .

[30]  John M. Rose,et al.  Accounting for heterogeneity in the variance of unobserved effects in mixed logit models , 2006 .

[31]  C. Feng,et al.  Effects of price promotions on potential consumers of high-speed rail , 2013 .