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Accessibility analysis as an urban planning tool: Gas station location

Author

Listed:
  • Escobar, D.

    (Department of Civil Engineering, National University of Colombia)

  • Cadena-Gaitan, C.

    (UNU-MERIT)

  • Garcia, F.

    (Department of Civil Engineering, National University of Colombia)

Abstract

We apply geo-statistical techniques to find relationships between the geographic location of urban Gas Stations (GS) and operational features offered by the transport network in Manizales Colombia. This research is built upon primary information collected during a period longer than one year using GPS more than 18 million data points. The methodology consists of i The set-up of the entire urban transport infrastructure network, ii The calculation of the average operating speeds in the links, iii The calculation of the global average accessibility offered by the infrastructure network in different transport modes, iv The calculation of the Spatial Coverage Index, area, population and number of houses covered by the curves of travel time. Graphical results explain the average times invested in reaching a particular GS, and quantitative comparisons between different types of stations are studied. Thus, we establish which sectors of the city are deficient in coverage of this type of activity. The overall results reveal the possibility of reaching a GS in Manizales in an average travel time between 4 and 22 min.

Suggested Citation

  • Escobar, D. & Cadena-Gaitan, C. & Garcia, F., 2014. "Accessibility analysis as an urban planning tool: Gas station location," MERIT Working Papers 2014-048, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    • Handle: RePEc:unm:unumer:2014048
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    File URL: https://unu-merit.nl/publications/wppdf/2014/wp2014-048.pdf
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Transportation economics; Transport infrastructure; Transport modes; Urban planning; Gas stations; Geografic location; GPS; Spatial coverage index;
    All these keywords.

    JEL classification:

    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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