IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v69y2018icp179-192.html
   My bibliography  Save this article

Pricing policy of floating ticket fare for riding high speed rail based on time-space compression

Author

Listed:
  • Chou, Jui-Sheng
  • Chien, Ya-Ling
  • Nguyen, Ngoc-Mai
  • Truong, Dinh-Nhat

Abstract

The Taiwan high-speed rail (HSR) markedly reduces the travel time from the north of Taiwan to the south, or vice versa, relative to other modes of public overland transportation. The HSR is faster than those modes, but also more expensive to ride. The pricing of HSR tickets has gained limited public acceptance because it lacks justification, indicating the need for a theoretical method for objectively justifying the ticket prices. With continuing improvements in data analytics, the computational capacity of computers, and visualization techniques, constructing a time–space model of a long-distance transportation system has become increasingly feasible, and such a model can be used to examine the time–space compression of the HSR. The first part of this investigation uses multidimensional scaling to obtain fitting coordinates based on travel times for various combinations of departure/destination HSR stations, and a geographic information system to generate time–space maps of the relative locations of those stations. Through these maps, we can directly estimate the traveling time between pairs of stations. The second part constructs a floating ticket-pricing model that accounts for the riding costs of the HSR. The model's power to explain the prices of HSR tickets is evaluated. Based on the analytical results, suggestions to the current HSR ticket fare were proposed to set the feasible rate concerning the operating, passenger-perceived, and time-space compression costs. Recommendations for future research are made.

Suggested Citation

  • Chou, Jui-Sheng & Chien, Ya-Ling & Nguyen, Ngoc-Mai & Truong, Dinh-Nhat, 2018. "Pricing policy of floating ticket fare for riding high speed rail based on time-space compression," Transport Policy, Elsevier, vol. 69(C), pages 179-192.
  • Handle: RePEc:eee:trapol:v:69:y:2018:i:c:p:179-192
    DOI: 10.1016/j.tranpol.2018.06.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X17307060
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2018.06.006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chen, Ching-Fu & Chang, Yu-Ying, 2008. "Airline brand equity, brand preference, and purchase intentions—The moderating effects of switching costs," Journal of Air Transport Management, Elsevier, vol. 14(1), pages 40-42.
    2. J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 1-27, March.
    3. Taniguchi, Mamoru, 1992. "High Speed Rail in Japan: A Review and Evaluation of the Shinkansen Train," University of California Transportation Center, Working Papers qt5s48m11f, University of California Transportation Center.
    4. Papadimitriou, Eleonora & Yannis, George, 2014. "Needs and priorities of road safety stakeholders for evidence-based policy making," Transport Policy, Elsevier, vol. 35(C), pages 286-294.
    5. Fu, Xiaowen & Zhang, Anming & Lei, Zheng, 2012. "Will China’s airline industry survive the entry of high-speed rail?," Research in Transportation Economics, Elsevier, vol. 35(1), pages 13-25.
    6. K Spiekermann & M Wegener, 1994. "The Shrinking Continent: New Time—Space Maps of Europe," Environment and Planning B, , vol. 21(6), pages 653-673, December.
    7. Lichtenstein, Donald R & Burton, Scot & Karson, Eric J, 1991. "The Effect of Semantic Cues on Consumer Perceptions of Reference Price Ads," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(3), pages 380-391, December.
    8. Andersson, David Emanuel & Shyr, Oliver F. & Fu, Johnson, 2010. "Does high-speed rail accessibility influence residential property prices? Hedonic estimates from southern Taiwan," Journal of Transport Geography, Elsevier, vol. 18(1), pages 166-174.
    9. Cheng, Yung-Hsiang, 2010. "High-speed rail in Taiwan: New experience and issues for future development," Transport Policy, Elsevier, vol. 17(2), pages 51-63, March.
    10. Kim, Hyojin & Sultana, Selima, 2015. "The impacts of high-speed rail extensions on accessibility and spatial equity changes in South Korea from 2004 to 2018," Journal of Transport Geography, Elsevier, vol. 45(C), pages 48-61.
    11. Moshe Givoni, 2006. "Development and Impact of the Modern High‐speed Train: A Review," Transport Reviews, Taylor & Francis Journals, vol. 26(5), pages 593-611, January.
    12. Chou, Jui-Sheng & Kim, Changwan & Kuo, Yao-Chen & Ou, Nai-Chi, 2011. "Deploying effective service strategy in the operations stage of high-speed rail," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(4), pages 507-519, July.
    13. Lee, D. B., 2000. "Methods for evaluation of transportation projects in the USA," Transport Policy, Elsevier, vol. 7(1), pages 41-50, January.
    14. Wang, Judith Y.T. & Ehrgott, Matthias & Chen, Anthony, 2014. "A bi-objective user equilibrium model of travel time reliability in a road network," Transportation Research Part B: Methodological, Elsevier, vol. 66(C), pages 4-15.
    15. Campos, Javier & de Rus, Ginés, 2009. "Some stylized facts about high-speed rail: A review of HSR experiences around the world," Transport Policy, Elsevier, vol. 16(1), pages 19-28, January.
    16. Chen, Chia-Lin & Hall, Peter, 2011. "The impacts of high-speed trains on British economic geography: a study of the UK’s InterCity 125/225 and its effects," Journal of Transport Geography, Elsevier, vol. 19(4), pages 689-704.
    17. C. Angelo Guevara, 2017. "Mode-valued differences of in-vehicle travel time Savings," Transportation, Springer, vol. 44(5), pages 977-997, September.
    18. Román, Concepción & Martín, Juan Carlos & Espino, Raquel & Cherchi, Elisabetta & Ortúzar, Juan de Dios & Rizzi, Luis Ignacio & González, Rosa Marina & Amador, Francisco Javier, 2014. "Valuation of travel time savings for intercity travel: The Madrid-Barcelona corridor," Transport Policy, Elsevier, vol. 36(C), pages 105-117.
    19. Chou, Jui-Sheng & Yeh, Chun-Pin, 2013. "Influential constructs, mediating effects, and moderating effects on operations performance of high speed rail from passenger perspective," Transport Policy, Elsevier, vol. 30(C), pages 207-219.
    20. de Leeuw, Jan & Mair, Patrick, 2009. "Multidimensional Scaling Using Majorization: SMACOF in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(i03).
    21. William Jen & Kai-Chieh Hu, 2003. "Application of perceived value model to identify factors affecting passengers' repurchase intentions on city bus: A case of the Taipei metropolitan area," Transportation, Springer, vol. 30(3), pages 307-327, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jianqiang Wang & Wenlong Zhao & Chenglin Liu & Zhipeng Huang, 2023. "A System Optimization Approach for Trains’ Operation Plan with a Time Flexible Pricing Strategy for High-Speed Rail Corridors," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    2. Xu, Guangming & Zhong, Linhuan & Liu, Wei & Guo, Jing, 2024. "A flexible train composition strategy with extra-long trains for high-speed railway corridors with time-varying demand," Transportation Research Part B: Methodological, Elsevier, vol. 179(C).
    3. Jiang, Changmin & Wang, Chunan, 2021. "High-speed rail pricing: Implications for social welfare," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Lei, 2018. "High-speed rail services development and regional accessibility restructuring in megaregions: A case of the Yangtze River Delta, China," Transport Policy, Elsevier, vol. 72(C), pages 34-44.
    2. Chou, Jui-Sheng & Ping Tserng, H. & Lin, Chieh & Yeh, Chun-Pin, 2012. "Critical factors and risk allocation for PPP policy: Comparison between HSR and general infrastructure projects," Transport Policy, Elsevier, vol. 22(C), pages 36-48.
    3. Meng, Xuechen & Lin, Shanlang & Zhu, Xiaochuan, 2018. "The resource redistribution effect of high-speed rail stations on the economic growth of neighbouring regions: Evidence from China," Transport Policy, Elsevier, vol. 68(C), pages 178-191.
    4. Daniel Albalate & Germá Bel, 2015. "La experiencia internacional en alta velocidad ferroviaria," Working Papers 2015-02, FEDEA.
    5. Chen, Xiaoyan & Liu, Yisheng, 2020. "Visualization analysis of high-speed railway research based on CiteSpace," Transport Policy, Elsevier, vol. 85(C), pages 1-17.
    6. Kim, Hyojin & Sultana, Selima & Weber, Joe, 2018. "A geographic assessment of the economic development impact of Korean high-speed rail stations," Transport Policy, Elsevier, vol. 66(C), pages 127-137.
    7. Chen, Zhenhua, 2023. "Socioeconomic Impacts of high-speed rail: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    8. Shen, Yu & de Abreu e Silva, João & Martínez, Luis Miguel, 2014. "Assessing High-Speed Rail’s impacts on land cover change in large urban areas based on spatial mixed logit methods: a case study of Madrid Atocha railway station from 1990 to 2006," Journal of Transport Geography, Elsevier, vol. 41(C), pages 184-196.
    9. Albalate, Daniel & Fageda, Xavier, 2016. "High speed rail and tourism: Empirical evidence from Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 174-185.
    10. Chen, Cheng & D'Alfonso, Tiziana & Guo, Huanxiu & Jiang, Changmin, 2018. "Graph theoretical analysis of the Chinese high-speed rail network over time," Research in Transportation Economics, Elsevier, vol. 72(C), pages 3-14.
    11. Daniel Albalate del sol, 2015. "Evaluating HSR availability on Tourism: Evidence from Spanish Provinces and Cities," ERSA conference papers ersa15p288, European Regional Science Association.
    12. Zhang, Yaoyu & Liu, Jin & Wang, Bo, 2022. "The impact of High-Speed Rails on urban expansion: An investigation using an SDID with dynamic effects method," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    13. Ching-Chih Chou & Chien-Wen Shen & Dapeng Gao & Yang Gao & Kai Wang & Sang-Bing Tsai, 2018. "Modelling the Dynamic Impacts of High Speed Rail Operation on Regional Public Transport—From the Perspective of Energy Economy," Energies, MDPI, vol. 11(5), pages 1-15, May.
    14. Dobruszkes, Frédéric & Dehon, Catherine & Givoni, Moshe, 2014. "Does European high-speed rail affect the current level of air services? An EU-wide analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 461-475.
    15. Xu, Wangtu (Ato) & Zhou, Jiangping & Qiu, Guo, 2018. "China's high-speed rail network construction and planning over time: a network analysis," Journal of Transport Geography, Elsevier, vol. 70(C), pages 40-54.
    16. Chen, Chia-Lin & Hall, Peter, 2011. "The impacts of high-speed trains on British economic geography: a study of the UK’s InterCity 125/225 and its effects," Journal of Transport Geography, Elsevier, vol. 19(4), pages 689-704.
    17. Hongsheng Chen & Dongqi Sun & Zhenjun Zhu & Jun Zeng, 2016. "The Impact of High-Speed Rail on Residents’ Travel Behavior and Household Mobility: A Case Study of the Beijing-Shanghai Line, China," Sustainability, MDPI, vol. 8(11), pages 1-14, November.
    18. Martínez Sánchez-Mateos, Héctor S. & Givoni, Moshe, 2012. "The accessibility impact of a new High-Speed Rail line in the UK – a preliminary analysis of winners and losers," Journal of Transport Geography, Elsevier, vol. 25(C), pages 105-114.
    19. Jia, Shanming & Zhou, Chunyu & Qin, Chenglin, 2017. "No difference in effect of high-speed rail on regional economic growth based on match effect perspective?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 144-157.
    20. Perl, Anthony D. & Goetz, Andrew R., 2015. "Corridors, hybrids and networks: three global development strategies for high speed rail," Journal of Transport Geography, Elsevier, vol. 42(C), pages 134-144.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:69:y:2018:i:c:p:179-192. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.