IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v32y2014icp25-33.html
   My bibliography  Save this article

The valuation of shipment time variability in Greater Mekong Subregion

Author

Listed:
  • Kawasaki, Tomoya
  • Hanaoka, Shinya
  • Nguyen, Long Xuan

Abstract

The value of shipment time variability is estimated using the stated preference data from shippers engaging in cross-border transport in Greater Mekong Subregion. Respondents are asked to choose between two alternatives which differ in terms of shipment time, cost, shipment time variability and departure time. In the study route, two bottlenecks (border and seaport) violate stability of shipment time. These two shipment time distributions are convoluted by Monte Carlo method. The results show that the value of schedule delay late is 5.6 times larger than normal travel time savings.

Suggested Citation

  • Kawasaki, Tomoya & Hanaoka, Shinya & Nguyen, Long Xuan, 2014. "The valuation of shipment time variability in Greater Mekong Subregion," Transport Policy, Elsevier, vol. 32(C), pages 25-33.
  • Handle: RePEc:eee:trapol:v:32:y:2014:i:c:p:25-33
    DOI: 10.1016/j.tranpol.2014.01.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X14000092
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2014.01.001?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. Sándor, Zsolt & Train, Kenneth, 2004. "Quasi-random simulation of discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 38(4), pages 313-327, May.
    2. Simona Bolis & Rico Maggi, 2003. "Logistics Strategy and Transport Service Choices: An Adaptive Stated Preference Experiment," Growth and Change, Wiley Blackwell, vol. 34(4), pages 490-504, September.
    3. Lam, Terence C. & Small, Kenneth A., 2003. "The Value of Time and Reliability: Measurement from a Value Pricing Experiment," University of California Transportation Center, Working Papers qt47s4z7z5, University of California Transportation Center.
    4. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    5. Small, Kenneth A., 2001. "The Value of Pricing," University of California Transportation Center, Working Papers qt0rm449sx, University of California Transportation Center.
    6. Hollander, Yaron, 2006. "Direct versus indirect models for the effects of unreliability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(9), pages 699-711, November.
    7. Winston, Clifford, 1981. "A Disaggregate Model of the Demand for Intercity Freight Transportation," Econometrica, Econometric Society, vol. 49(4), pages 981-1006, June.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    9. World Bank, 2009. "Geography in Motion: World Development Report 2009 (excerpt)," Transnational Corporations Review, Ottawa United Learning Academy, vol. 1(3), pages 40-46, September.
    10. Jean-François Arvis & Gaël Raballand & Jean-François Marteau, 2010. "The Cost of Being Landlocked : Logistics Costs and Supply Chain Reliability," World Bank Publications - Books, The World Bank Group, number 2489.
    11. Lam, Terence C. & Small, Kenneth A., 0. "The value of time and reliability: measurement from a value pricing experiment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 231-251, April.
    12. Yannis, George & Antoniou, C., 2007. "A mixed logit model for the sensitivity analysis of Greek drivers' behaviour towards enforcement for road safety," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 37, pages 62-77.
    13. Bates, John & Polak, John & Jones, Peter & Cook, Andrew, 0. "The valuation of reliability for personal travel," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 191-229, April.
    14. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-479, June.
    15. Robert B. Noland & John W. Polak, 2002. "Travel time variability: A review of theoretical and empirical issues," Transport Reviews, Taylor & Francis Journals, vol. 22(1), pages 39-54, January.
    16. M. Beuthe & Ch. Bouffioux, 2008. "Analysing Qualitative Attributes of Freight Transport from Stated Orders of Preference Experiment," Journal of Transport Economics and Policy, University of Bath, vol. 42(1), pages 105-128, January.
    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. Vega, Amaya & Feo-Valero, Maria & Espino-Espino, Raquel, 2018. "The potential impact of Brexit on Ireland's demand for shipping services to continental Europe," Transport Policy, Elsevier, vol. 71(C), pages 1-13.
    2. Thi Yen Pham & Gi-Tae Yeo, 2018. "A Comparative Analysis Selecting the Transport Routes of Electronics Components from China to Vietnam," Sustainability, MDPI, vol. 10(7), pages 1-18, July.
    3. Takuya Yamaguchi & Ryuichi Shibasaki & Hiroyuki Samizo & Hisanari Ushirooka, 2021. "Impact on Myanmar’s Logistics Flow of the East–West and Southern Corridor Development of the Greater Mekong Subregion—A Global Logistics Intermodal Network Simulation," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    4. Takashi Hiraide & Shinya Hanaoka & Takuma Matsuda, 2022. "The Efficiency of Document and Border Procedures for International Trade," Sustainability, MDPI, vol. 14(14), pages 1-21, July.

    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. Soriguera, Francesc, 2014. "On the value of highway travel time information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 294-310.
    2. Fosgerau, Mogens & Karlström, Anders, 2010. "The value of reliability," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 38-49, January.
    3. van Loon, Ruben & Rietveld, Piet & Brons, Martijn, 2011. "Travel-time reliability impacts on railway passenger demand: a revealed preference analysis," Journal of Transport Geography, Elsevier, vol. 19(4), pages 917-925.
    4. Börjesson, Maria & Eliasson, Jonas, 2011. "On the use of "average delay" as a measure of train reliability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 171-184, March.
    5. Liu, Henry X. & He, Xiaozheng & Recker, Will, 2007. "Estimation of the time-dependency of values of travel time and its reliability from loop detector data," Transportation Research Part B: Methodological, Elsevier, vol. 41(4), pages 448-461, May.
    6. Chakrabarti, Sandip & Giuliano, Genevieve, 2015. "Does service reliability determine transit patronage? Insights from the Los Angeles Metro bus system," Transport Policy, Elsevier, vol. 42(C), pages 12-20.
    7. Abegaz, Dereje & Hjorth, Katrine & Rich, Jeppe, 2017. "Testing the slope model of scheduling preferences on stated preference data," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 409-436.
    8. Javier Asensio & Anna Matas, 2007. "Commuters’ valuation of travel time variability in Barcelona," Working Papers wpdea0701, Department of Applied Economics at Universitat Autonoma of Barcelona.
    9. Keumi, Chikako & Murakami, Hideki, 2012. "The role of schedule delays on passengers’ choice of access modes: A case study of Japan’s international hub airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 1023-1031.
    10. Chikako Keumi & Hideki Murakami, 2010. "Role of schedule delays on passengers' choice of access modes: A case of Japan' s international airport," Discussion Papers 2010-59, Kobe University, Graduate School of Business Administration.
    11. Yin-Yen Tseng, 2004. "A meta-analysis of travel time reliability," ERSA conference papers ersa04p415, European Regional Science Association.
    12. Peer, Stefanie & Knockaert, Jasper & Verhoef, Erik T., 2016. "Train commuters’ scheduling preferences: Evidence from a large-scale peak avoidance experiment," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 314-333.
    13. Bhat, Chandra R. & Sardesai, Rupali, 2006. "The impact of stop-making and travel time reliability on commute mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(9), pages 709-730, November.
    14. Börjesson, Maria & Eliasson, Jonas & Franklin, Joel, 2012. "Valuations of travel time variability in scheduling versus mean-variance models," Working papers in Transport Economics 2012:2, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    15. Carrion, Carlos & Levinson, David, 2012. "Value of travel time reliability: A review of current evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 720-741.
    16. Hongcheng Gan & Yang Bai, 2014. "The effect of travel time variability on route choice decision: a generalized linear mixed model based analysis," Transportation, Springer, vol. 41(2), pages 339-350, March.
    17. Wang, Qian & Sundberg, Marcus & Karlström, Anders, 2013. "Scheduling choices under rank dependent utility maximization," Working papers in Transport Economics 2013:16, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    18. Stefanie Peer & Erik Verhoef & Jasper Knockaert & Paul Koster & Yin‐Yen Tseng, 2015. "Long‐Run Versus Short‐Run Perspectives On Consumer Scheduling: Evidence From A Revealed‐Preference Experiment Among Peak‐Hour Road Commuters," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(1), pages 303-323, February.
    19. Nicholas Buchholz & Laura Doval & Jakub Kastl & Filip Matějka & Tobias Salz, 2020. "Personalized Pricing and the Value of Time: Evidence from Auctioned Cab Rides," NBER Working Papers 27087, National Bureau of Economic Research, Inc.
    20. Fosgerau, Mogens & Fukuda, Daisuke, 2010. "Valuing travel time variability: Characteristics of the travel time distribution on an urban road," MPRA Paper 24330, University Library of Munich, Germany.

    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:32:y:2014:i:c:p:25-33. 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.