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Impacts of station accessibility and regional heterogeneity on HSR ridership




                       Providing sufficient station accessibility is essential for THSR due to the remote location of
                   stations. Obviously stations located in the CBD provide more access links than rural area.
                   In this paper, the access quality was measured as binary variables (e.g. If connected
                   with transit network, 1, or 0); For stations located within CBD’s we show that service
                   improvements to metro and local rail links that existed prior to THSR opening do not
                   appear to have an influence on THSR demand. However, for most of the THSR stations
                   located in peripheral locations and without any public transport access at the beginning
                   of HSR operation, the first access link connected would stimulate the station demand,
                   i.e. THSR shuttle buses (Hsinchu and Tainan) and BRT (Chiayi);. This is why the influence
                   of connectivity in case of bus system was derived more strongly than that of the rail
                   transit. This is the result in the same line with Li and Schmöcker (2014).

                   We argued that station accessibility affects on quality of rail travel in the beginning
                   of this paper. Nevertheless a lot of rail operators still have underestimated its impact.
                   Tentatively, we suggest that general accessibility through public transport is important,
                   but further improvements do not necessarily generate additional journeys. Further work
                   for this analysis could be much improved if panel data on modal split of how people
                   access HSR would be available as well as how much time to access to the station by mode.
                   From another point of view, as it is rapidly entering a super aging society, explanatory
                   variables capable of responding to changes in household structure and average age users
                   should also be considered in the model which explains the long-term demand of HSR.

                   7.     References



                   •  Li,  Y.-T.,  Schmöcker,  J.-D.,  and  S.  Fujii.  (2015).  Demand  adaptation  towards  new
                       transport modes: the case of high-speed rail in Taiwan. Tansportmetrica B: Transport
                       Dynamics, 3(1), pp.27-43. DOI: 10.1080/21680566.2014.946456.

                   •  Cheng, Y.-H. (2010). High-speed rail in Taiwan: New experience and issues for future
                       development. Transport Policy, 17, pp.51-63.

                   •  Murray A.T. (2003). A Coverage Model for Improving Public Transit System Accessibility
                       and Expanding Access. Annals of Operations Research, 123, pp.143–156.

                   •  Mitra, S. K., Saphores, J-D. M., (2016). The value of transportation accessibility in a
                       least developed country city – The case of Rajshahi City, Bangladesh. Transportation
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                   •  Cervero, R., Kang, C.D. (2011). Bus rapid transit impacts on land uses and land values
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                   •  Debrezion, G., de Graaff, T., Rietveld, P., (2011). The impact of accessibility on the value of
                       offices. In: Transitions Towards Sustainable Mobility. Springer, Berlin, Heidelberg, pp.41-57

                   •  Dubé, J., Thériault, M., Des Rosiers, F., (2013). Commuter rail accessibility and house
                       values: the case of the Montreal South Shore, Canada, 1992–2009.  Transportation
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                   •  Hine,  J.,  Scott,  J.,  (2000).  Seamless, accessible  travel:  users’ views  of  the  public
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                   International Congress on High-speed Rail: Technologies and Long Term Impacts - Ciudad Real (Spain) - 25th anniversary Madrid-Sevilla corridor  235
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