Page 238 - 360.revista de Alta Velocidad - Nº 6
P. 238
Kim, Junghwa. Li, Yeun-Touh. Schmöcker, Jan-Dirk.
• Krygsman, S., Dijst, M., Arentze, T., (2004). Multimodal public transport: an analysis
of travel time elements and the interconnectivity ratio. Transport Policy, 11, pp.265–
275.
• Wardman, M., Hine, J.P., (2000). Costs of interchange: a review of the literature.
Working paper 546, Institute for Transport Studies, University of Leeds.
• Wardman, M., Tyler, J., (2000). Rail network accessibility and the demand for interurban
rail travel. Transport Reviews, 20 (1), pp.3–24.
• Brons, M., Givioni, M. & Rietveld, P. (2009). Access to railway stations and its potential
in increasing rail use. Transportation Research Part A: Policy and Practice, 43, pp.136-
49.
• Bogovic, B., Kovacic, B., Jenic, V. (2003). Coefficient of Railway Station Accessibility.
Science in Traffic, 15(1), pp.7-11.
• Keijer, M.J.N., Rietveld, P., (2000). How do people get to the railway station? The
Dutch experience. Transportation Planning and Technology, 23, pp.215–235.
• Rietveld, P. (2000) The accessibility of railway stations: the role of the bicycle in the
Netherlands. Transportation Research Part D, 9(2), pp.151-173.
• Givoni, M., Rietveld, P., (2007). The access journey to the railway station and its role
in passengers’ satisfaction with rail travel. Transport Policy, 14, pp.357–365.
• Eidlin, E. (2015). Making the Most of High-Speed Rail in California Lessons from France
and Germany. Project Report of the German Marshall Fund of the United States. http://
www.gmfus.org/listings/research
• Li, Y.-T., & Schmöcker, J.-D. (2014). Demand Impact of Access Links to Taiwan High
Speed Rail. Proceeding of the 19th International Conference of Hong Kong Society for
Transportation Studies, pp.103-110. Hong Kong, China. ISBN: 978988-15814-3-3
• Su, C-W., C-W., Chang, Y-C., Lu, and J-R. Liu. (2012). A Study on Selecting a Feasible Mode
for Seamlessly Transferring between HSR and TR Stations. Ministry of Transportation
and Communications, Taipei. (in Chinese), ISBN 978-986-033263-6.
• Baltagi, B. H. (2013). Econometric analysis of panel data. Fifth Edition. Chichester,
West Sussex: John Wiley & Sons, Inc. ISBN: 978-1-118-67232-7.
• Schmöcker, J.-D., Hatori, T., and Walting, D. (2014). Dynamic process model of mass
effects on travel demand. Transportation, 41(2), pp.279-304.
• Burnham, K. P. and Anderson, D. R. (2004). Multimodel Inference Understanding AIC and
BIC in Model Selection. Sociological Method and Research, 33(2), pp.261304.
• Roeder, K, Lynch, K.G., and Nagin, D.S. (1999). Modeling uncertainty in latent class
membership: a case study in criminology. Journal of the American Statistical Association.
94(447), pp.766–776.
236 360.revista de alta velocidad