IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v61y2014icp41-52.html
   My bibliography  Save this article

The hedonic value of railways terminals. A quantitative analysis of the impact of stations quality on travellers behaviour

Author

Listed:
  • Cascetta, Ennio
  • Cartenì, Armando

Abstract

Transit services quality has long been recognized as an important factor in influencing travelers behaviour and terminals quality is certainly part of it. As a matter of fact a number of transit promotion policies explicitly based on qualitative factors and specifically high architectural standards are being adopted in designing new railways stations and several examples of remarkable architecture applied to railways stations can be found all round the world. In spite of this, the literature in transportation modelling has not yet analyzed the impact of the hedonic quality on travelers’ behaviour quantifying whether and by how much it increases their propensity to use rail services.

Suggested Citation

  • Cascetta, Ennio & Cartenì, Armando, 2014. "The hedonic value of railways terminals. A quantitative analysis of the impact of stations quality on travellers behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 41-52.
    • Handle: RePEc:eee:transa:v:61:y:2014:i:c:p:41-52
    DOI: 10.1016/j.tra.2013.12.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856413002462
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2013.12.008?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. David A. Hensher & Paola Prioni, 2002. "A Service Quality Index for Area-wide Contract Performance Assessment," Journal of Transport Economics and Policy, University of Bath, vol. 36(1), pages 93-113, January.
    2. Theo Arentze & Tao Feng & Harry Timmermans & Jops Robroeks, 2012. "Context-dependent influence of road attributes and pricing policies on route choice behavior of truck drivers: results of a conjoint choice experiment," Transportation, Springer, vol. 39(6), pages 1173-1188, November.
    3. Leclerc, France & Schmitt, Bernd H & Dube, Laurette, 1995. "Waiting Time and Decision Making: Is Time like Money?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 22(1), pages 110-119, June.
    4. Nathanail, Eftihia, 2008. "Measuring the quality of service for passengers on the hellenic railways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 48-66, January.
    5. Ilona D M Bos & Rob E C M Van der Heijden & Eric J E Molin & Harry J P Timmermans, 2004. "The Choice of Park and Ride Facilities: An Analysis Using a Context-Dependent Hierarchical Choice Experiment," Environment and Planning A, , vol. 36(9), pages 1673-1686, September.
    6. Hensher, David A. & Stopher, Peter & Bullock, Philip, 2003. "Service quality--developing a service quality index in the provision of commercial bus contracts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(6), pages 499-517, July.
    7. Harmen Oppewal & Harry Timmermans, 1991. "Context Effects And Decompositional Choice Modeling," Papers in Regional Science, Wiley Blackwell, vol. 70(2), pages 113-131, April.
    8. Cascetta, Ennio & Pagliara, Francesca, 2008. "Integrated railways-based policies: The Regional Metro System (RMS) project of Naples and Campania," Transport Policy, Elsevier, vol. 15(2), pages 81-93, March.
    9. Cascetta, Ennio & Papola, Andrea, 2003. "A joint mode-transit service choice model incorporating the effect of regional transport service timetables," Transportation Research Part B: Methodological, Elsevier, vol. 37(7), pages 595-614, August.
    10. Víctor Cantillo & Juan de Dios Ortúzar & Huw C. W. L. Williams, 2007. "Modeling Discrete Choices in the Presence of Inertia and Serial Correlation," Transportation Science, INFORMS, vol. 41(2), pages 195-205, May.
    11. David Gaker & Joan L. Walker, 2013. "Revealing the Value of “Green” and the Small Group with a Big Heart in Transportation Mode Choice," Sustainability, MDPI, vol. 5(7), pages 1-15, July.
    12. Rojo, Marta & Gonzalo-Orden, Hernán & dell’Olio, Luigi & Ibeas, Ángel, 2012. "Relationship between service quality and demand for inter-urban buses," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1716-1729.
    13. Gatta, Valerio & Marcucci, Edoardo, 2007. "Quality and public transport service contracts," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 36, pages 92-106.
    14. Hensher, David A. & Rose, John M., 2007. "Development of commuter and non-commuter mode choice models for the assessment of new public transport infrastructure projects: A case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 428-443, June.
    15. Arnold van Exel, Nicolaas Jacob & Rietveld, Piet, 2010. "Perceptions of public transport travel time and their effect on choice-sets among car drivers," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 2(3), pages 75-86.
    16. David A. Hensher, 2006. "How do respondents process stated choice experiments? Attribute consideration under varying information load," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 861-878.
    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. de Luca, Stefano, 2014. "Public engagement in strategic transportation planning: An analytic hierarchy process based approach," Transport Policy, Elsevier, vol. 33(C), pages 110-124.
    2. Cartenì, Armando & Pariota, Luigi & Henke, Ilaria, 2017. "Hedonic value of high-speed rail services: Quantitative analysis of the students’ domestic tourist attractiveness of the main Italian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 348-365.
    3. Fan, Yingling & Guthrie, Andrew & Levinson, David, 2016. "Waiting time perceptions at transit stops and stations: Effects of basic amenities, gender, and security," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 251-264.
    4. Hernandez, Sara & Monzon, Andres & de Oña, Rocío, 2016. "Urban transport interchanges: A methodology for evaluating perceived quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 84(C), pages 31-43.
    5. Pagliara, Francesca & Russo, Lucia & Aria, Massimo, 2021. "Measuring retailers’ perceptions of new metro stations inauguration," Land Use Policy, Elsevier, vol. 104(C).
    6. Maciej Kruszyna & Jacek Makuch, 2023. "Mobility Nodes as an Extension of the Idea of Transfer Nodes—Solutions for Smaller Rail Stations with an Example from Poland," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
    7. Cartenì, Armando & Cascetta, Ennio & de Luca, Stefano, 2016. "A random utility model for park & carsharing services and the pure preference for electric vehicles," Transport Policy, Elsevier, vol. 48(C), pages 49-59.
    8. Meng, Meng & Rau, Andreas & Mahardhika, Hita, 2018. "Public transport travel time perception: Effects of socioeconomic characteristics, trip characteristics and facility usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 24-37.
    9. Xinyu Zhuang & Li Zhang & Jie Lu, 2022. "Past—Present—Future: Urban Spatial Succession and Transition of Rail Transit Station Zones in Japan," IJERPH, MDPI, vol. 19(20), pages 1-35, October.
    10. Alexander, Matthew & Hamilton, Kathy, 2015. "A ‘placeful’ station? The community role in place making and improving hedonic value at local railway stations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 65-77.
    11. Niu, Zhipeng & Hu, Xiaowei & Qi, Shouming & Yang, Haihua & Wang, Siqing & An, Shi, 2021. "Determinants to parking mode alternatives: A model integrating technology acceptance model and satisfaction–loyalty model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 216-234.
    12. Cascetta, Ennio & Cartenì, Armando & Pagliara, Francesca & Montanino, Marcello, 2015. "A new look at planning and designing transportation systems: A decision-making model based on cognitive rationality, stakeholder engagement and quantitative methods," Transport Policy, Elsevier, vol. 38(C), pages 27-39.
    13. Schakenbos, Rik & Paix, Lissy La & Nijenstein, Sandra & Geurs, Karst T., 2016. "Valuation of a transfer in a multimodal public transport trip," Transport Policy, Elsevier, vol. 46(C), pages 72-81.
    14. Yingling Fan & Andrew Guthrie & David Levinson, 2015. "Perception of Waiting Time at Transit Stops and Stations," Working Papers 000127, University of Minnesota: Nexus Research Group.
    15. Nielsen, Otto Anker & Eltved, Morten & Anderson, Marie Karen & Prato, Carlo Giacomo, 2021. "Relevance of detailed transfer attributes in large-scale multimodal route choice models for metropolitan public transport passengers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 76-92.

    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. Juan de Oña & Rocio de Oña, 2015. "Quality of Service in Public Transport Based on Customer Satisfaction Surveys: A Review and Assessment of Methodological Approaches," Transportation Science, INFORMS, vol. 49(3), pages 605-622, August.
    2. Ganji, S.S. & Ahangar, A.N. & Awasthi, Anjali & Jamshidi Bandari, Smaneh, 2021. "Psychological analysis of intercity bus passenger satisfaction using Q methodology," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 345-363.
    3. Eboli, Laura & Forciniti, Carmen & Mazzulla, Gabriella, 2018. "Spatial variation of the perceived transit service quality at rail stations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 67-83.
    4. Rong, Rui & Liu, Lishan & Jia, Ning & Ma, Shoufeng, 2022. "Impact analysis of actual traveling performance on bus passenger’s perception and satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 80-100.
    5. Loría, Luis Enrique & Watson, Verity & Kiso, Takahiko & Phimister, Euan, 2019. "Investigating users' preferences for Low Emission Buses: Experiences from Europe's largest hydrogen bus fleet," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    6. Iván Manuel Mendoza-Arango & Eneko Echaniz & Luigi dell’Olio & Eduardo Gutiérrez-González, 2020. "Weighted Variables Using Best-Worst Scaling in Ordered Logit Models for Public Transit Satisfaction," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    7. Carreira, Rui & Patrício, Lia & Natal Jorge, Renato & Magee, Chris, 2014. "Understanding the travel experience and its impact on attitudes, emotions and loyalty towards the transportation provider–A quantitative study with mid-distance bus trips," Transport Policy, Elsevier, vol. 31(C), pages 35-46.
    8. Zhang, Chunqin & Liu, Yong & Lu, Weite & Xiao, Guangnian, 2019. "Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 149-164.
    9. Yi-Wen Kuo & Cheng-Hsien Hsieh & Cheng-Min Feng & Wen-Ya Yeh, 2013. "Effects of price promotions on potential consumers of high-speed rail," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(8), pages 722-738, December.
    10. Concepcion Roman & Juan Carlos Martin & Raquel Espino, 2011. "Using Stated Preferences (Sp) To Analyze The Service Quality Of Public Transport," ERSA conference papers ersa11p86, European Regional Science Association.
    11. Alessandro Vitale & Giuseppe Guido & Daniele Rogano, 2016. "A smartphone based DSS platform for assessing transit service attributes," Public Transport, Springer, vol. 8(2), pages 315-340, September.
    12. Cartenì, Armando & Pariota, Luigi & Henke, Ilaria, 2017. "Hedonic value of high-speed rail services: Quantitative analysis of the students’ domestic tourist attractiveness of the main Italian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 348-365.
    13. Eboli, Laura & Mazzulla, Gabriella, 2012. "Performance indicators for an objective measure of public transport service quality," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 51, pages 1-4.
    14. Redman, Lauren & Friman, Margareta & Gärling, Tommy & Hartig, Terry, 2013. "Quality attributes of public transport that attract car users: A research review," Transport Policy, Elsevier, vol. 25(C), pages 119-127.
    15. Gatta, Valerio & Marcucci, Edoardo, 2007. "Quality and public transport service contracts," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 36, pages 92-106.
    16. Hensher, David A. & Ho, Chinh & Mulley, Corinne, 2015. "Identifying resident preferences for bus-based and rail-based investments as a complementary buy in perspective to inform project planning prioritisation," Journal of Transport Geography, Elsevier, vol. 46(C), pages 1-9.
    17. Epstein, Bryan & Givoni, Moshe, 2016. "Analyzing the gap between the QOS demanded by PT users and QOS supplied by service operators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 622-637.
    18. Mulley, Corinne & Clifton, Geoffrey Tilden & Balbontin, Camila & Ma, Liang, 2017. "Information for travelling: Awareness and usage of the various sources of information available to public transport users in NSW," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 111-132.
    19. Stephane Hess & Andrew Daly & Maria Börjesson, 2020. "A critical appraisal of the use of simple time-money trade-offs for appraisal value of travel time measures," Transportation, Springer, vol. 47(3), pages 1541-1570, June.
    20. Ittamalla, Rajesh & Srinivas Kumar, Daruri Venkata, 2021. "Determinants of holistic passenger experience in public transportation: Scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).

    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:transa:v:61:y:2014:i:c:p:41-52. 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/547/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.