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Optimization of High-Speed Railway Station Location Selection Based on Accessibility and Environmental Impact

Author

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  • Roy, Sandeepan

    (Asian Development Bank Institute)

  • Maji, Avijit

    (Asian Development Bank Institute)

Abstract

High-speed railway (HSR) planners aim to select locations that optimize the overall utility or benefit of HSR stations by satisfying various desirable requirements. Among other factors, accessibility and environmental impact are important considerations for selecting a location for an HSR station. The desirable requirements of these two factors include improved access to, and intermodal integration with, existing transportation facilities and services (like airports, train stations, and bus stops); avoidance of environmentally sensitive areas (such as water bodies, wetlands, and forest) and land with higher right-of-way costs; and accommodation of strategic necessities (for example, proximity to city centers and socioeconomic development hubs). We quantify the overall utility of an HSR station by analyzing the extent to which a location satisfies these desirable requirements. For this, suitable utility functions were developed and evaluated. To obtain individual utility scores, we assigned appropriate weights based on relative importance. We then estimated the overall utility of a location as the weighted summation of these utility scores. A GIS-based analytical framework was specifically developed for geo-processing, mapping, and visualization of the geospatial data analysis and result representation. This utility-based quantification and identification process would be useful to planners in assessing an area and determining the most suitable station locations for an HSR project. The proposed model was used to identify the potential station locations along the Mumbai-Ahmedabad HSR corridor in India and to compare the obtained results with the planned locations of the project.

Suggested Citation

  • Roy, Sandeepan & Maji, Avijit, 2019. "Optimization of High-Speed Railway Station Location Selection Based on Accessibility and Environmental Impact," ADBI Working Papers 953, Asian Development Bank Institute.
  • Handle: RePEc:ris:adbiwp:0953
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    References listed on IDEAS

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    1. Vlachopoulou, Maro & Silleos, George & Manthou, Vassiliki, 2001. "Geographic information systems in warehouse site selection decisions," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 205-212, May.
    2. H. B. Fisher & Gerard Rushton, 1979. "Spatial Efficiency Of Service Locations And The Regional Development Process," Papers in Regional Science, Wiley Blackwell, vol. 42(1), pages 83-97, January.
    3. Hugo M. Repolho & António P. Antunes & Richard L. Church, 2013. "Optimal Location of Railway Stations: The Lisbon-Porto High-Speed Rail Line," Transportation Science, INFORMS, vol. 47(3), pages 330-343, August.
    4. Alan Murray, 2010. "Advances in location modeling: GIS linkages and contributions," Journal of Geographical Systems, Springer, vol. 12(3), pages 335-354, September.
    5. Baban, Serwan M.J & Parry, Tim, 2001. "Developing and applying a GIS-assisted approach to locating wind farms in the UK," Renewable Energy, Elsevier, vol. 24(1), pages 59-71.
    6. Richard Church & Charles R. Velle, 1974. "The Maximal Covering Location Problem," Papers in Regional Science, Wiley Blackwell, vol. 32(1), pages 101-118, January.
    7. Laporte, G. & Mesa, J.A. & Ortega, F.A. & Perea, F., 2011. "Planning rapid transit networks," Socio-Economic Planning Sciences, Elsevier, vol. 45(3), pages 95-104, September.
    8. Chakravorty, Sanjoy, 2013. "The Price of Land: Acquisition, Conflict, Consequence," OUP Catalogue, Oxford University Press, number 9780198089544, Decembrie.
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    More about this item

    Keywords

    high-speed rail stations; geographic information systems; environmental impact; accessibility; utility functions;
    All these keywords.

    JEL classification:

    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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