IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v36y2009i4p573-587.html
   My bibliography  Save this article

A Comparative Location Study for the Joint Development Station of a Mass Rapid Transit System: A Case in Taichung City in Taiwan

Author

Listed:
  • Wann-Ming Wey

    (Department of Real Estate and Built Environment, National Taipei University, 67, Section 3, Ming-Shen East Road, Taipei 104, Taiwan)

  • Yu-Hern Chang

    (Department of Transportation and Communication Management Science, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan)

Abstract

This paper is concerned with the selection of a candidate joint development station (JDS) for a Mass Rapid Transit (MRT) system. We propose a method to reach consensus for a group decision on the basis of a combination of the analytic hierarchy process and the assurance region model of data envelopment analysis. Several strategies for using this methodology—for example, Delphi procedures—are also discussed. On the basis of these analyses, the evaluators (council members) responsible for recommending the proper candidate JDS for an MRT system in Taichung City, Taiwan, came up with two contenders from among five: one station in Taichung's CBD area and the other in the Situn district. It was not possible to discriminate between the two using multiple criteria for evaluating stations. The evaluators recommended these two stations to the city council, who should now be able to make an informed, objective decision. In this report we have summarized, with emphasis on the methodological aspects, the decision-making processes that the evaluators followed.

Suggested Citation

  • Wann-Ming Wey & Yu-Hern Chang, 2009. "A Comparative Location Study for the Joint Development Station of a Mass Rapid Transit System: A Case in Taichung City in Taiwan," Environment and Planning B, , vol. 36(4), pages 573-587, August.
    • Handle: RePEc:sae:envirb:v:36:y:2009:i:4:p:573-587
    DOI: 10.1068/b33135
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b33135
    Download Restriction: no
    File URL: https://libkey.io/10.1068/b33135?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
    ---><---

    References listed on IDEAS

    as
    1. Stewart, TJ, 1994. "Data envelopment analysis and multiple criteria decision making: A response," Omega, Elsevier, vol. 22(2), pages 205-206, March.
    2. Friedman, Lea & Sinuany-Stern, Zilla, 1997. "Scaling units via the canonical correlation analysis in the DEA context," European Journal of Operational Research, Elsevier, vol. 100(3), pages 629-637, August.
    Full references (including those not matched with items on IDEAS)

    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. C Kao & H-T Hung, 2005. "Data envelopment analysis with common weights: the compromise solution approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(10), pages 1196-1203, October.
    2. Tofallis, C., 1996. "Improving discernment in DEA using profiling," Omega, Elsevier, vol. 24(3), pages 361-364, June.
    3. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    4. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    5. C Serrano Cinca & C Mar Molinero, 2004. "Selecting DEA specifications and ranking units via PCA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(5), pages 521-528, May.
    6. Harald Dyckhoff & Katrin Allen, 1999. "Theoretische Begründung einer Effizienzanalyse mittels Data Envelopment Analysis (DEA)," Schmalenbach Journal of Business Research, Springer, vol. 51(5), pages 411-436, May.
    7. Babak Daneshvar Rouyendegh & Asil Oztekin & Joseph Ekong & Ali Dag, 2019. "Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach," Annals of Operations Research, Springer, vol. 278(1), pages 361-378, July.
    8. Premachandra, I. M., 2001. "A note on DEA vs principal component analysis: An improvement to Joe Zhu's approach," European Journal of Operational Research, Elsevier, vol. 132(3), pages 553-560, August.
    9. Colbert, Amy & Levary, Reuven R. & Shaner, Michael C., 2000. "Determining the relative efficiency of MBA programs using DEA," European Journal of Operational Research, Elsevier, vol. 125(3), pages 656-669, September.
    10. Yang, Jian-Bo & Wong, Brandon Y.H. & Xu, Dong-Ling & Stewart, Theodor J., 2009. "Integrating DEA-oriented performance assessment and target setting using interactive MOLP methods," European Journal of Operational Research, Elsevier, vol. 195(1), pages 205-222, May.
    11. M I Gonzalez-Bravo, 2007. "Prior-Ratio-Analysis procedure to improve data envelopment analysis for performance measurement," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(9), pages 1214-1222, September.
    12. Kiani Mavi, Reza & Saen, Reza Farzipoor & Goh, Mark, 2019. "Joint analysis of eco-efficiency and eco-innovation with common weights in two-stage network DEA: A big data approach," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 553-562.
    13. Kanematsu, Simon Y. & Carvalho, Ney P. & Martinhon, Carlos A. & Almeida, Mariana R., 2020. "Ranking using η-efficiency and relative size measures based on DEA," Omega, Elsevier, vol. 90(C).
    14. Adler, Nicole & Yazhemsky, Ekaterina, 2010. "Improving discrimination in data envelopment analysis: PCA-DEA or variable reduction," European Journal of Operational Research, Elsevier, vol. 202(1), pages 273-284, April.
    15. Ghosh, Santosh & Yadav, Vinod Kumar & Mukherjee, Vivekananda, 2018. "Evaluation of cumulative impact of partial shading and aerosols on different PV array topologies through combined Shannon's entropy and DEA," Energy, Elsevier, vol. 144(C), pages 765-775.
    16. Yang, Chyan & Liu, Hsian-Ming, 2012. "Managerial efficiency in Taiwan bank branches: A network DEA," Economic Modelling, Elsevier, vol. 29(2), pages 450-461.
    17. Oliveira, Renata & Zanella, Andreia & Camanho, Ana S., 2019. "The assessment of corporate social responsibility: The construction of an industry ranking and identification of potential for improvement," European Journal of Operational Research, Elsevier, vol. 278(2), pages 498-513.
    18. Barak, Sasan & Dahooei, Jalil Heidary, 2018. "A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 134-149.
    19. Akram Dehnokhalaji & Behjat Hallaji & Narges Soltani & Jafar Sadeghi, 2017. "Convex cone-based ranking of decision-making units in DEA," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(3), pages 861-880, July.
    20. Mojtaba Ghiyasi & Jens Leth Hougaard, 2014. "Ranking Production Units According to Marginal Efficiency Contribution," MSAP Working Paper Series 04_2014, University of Copenhagen, Department of Food and Resource Economics.

    More about this item

    Statistics

    Access and download statistics

    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:sae:envirb:v:36:y:2009:i:4:p:573-587. 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: SAGE Publications (email available below). General contact details of provider: .

    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.