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Spatial coverage index for assessing national and regional transportation infrastructures

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  • Magalhães, Marcos Thadeu

Abstract

Development of the transportation planning process at various decision levels (strategic, tactical, and operational) has strengthened the need for specific indicators as the basis for decision-making. Within the decision-making structure, however, the most popular indicators for national and regional analysis (i.e., extension, density) are still based on a legacy of limited technology and data availability. Growth in spatial of technologies, such as GIS, and reliable georeferenced databases can support new approaches to analyzing those indicators that shed light on infrastructure and service availability frameworks. This paper synthesizes and expands the former Roadway Coverage Index (RCI) as a Transport Spatial Coverage Index (TSCI) based on the concepts and characteristics of specific indicators, using the currently available tools, and taking into account network spatial behavior. Based on its structure, the TSCI is more robust and reliable than other approaches (network extension, spatial density, and population density), and it also has sound and convenient features for planners and decision makers towards national and regional infrastructure planning.

Suggested Citation

  • Magalhães, Marcos Thadeu, 2016. "Spatial coverage index for assessing national and regional transportation infrastructures," Journal of Transport Geography, Elsevier, vol. 56(C), pages 53-61.
    • Handle: RePEc:eee:jotrge:v:56:y:2016:i:c:p:53-61
    DOI: 10.1016/j.jtrangeo.2016.08.015
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    References listed on IDEAS

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    1. Keeling, David J., 2013. "Transport research challenges in Latin America," Journal of Transport Geography, Elsevier, vol. 29(C), pages 103-104.
    2. Rodrigues da Silva, Antônio Nélson & Manzato, Gustavo Garcia & Pereira, Heber Tiago Santos, 2014. "Defining functional urban regions in Bahia, Brazil, using roadway coverage and population density variables," Journal of Transport Geography, Elsevier, vol. 36(C), pages 79-88.
    3. Babcock, Michael W. & Alakshendra, Abhinav, 2012. "Methodology to Measure the Benefits and Costs of Rural Road Closure: A Kansas Case Study," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 51(1).
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    1. Jinrui Zang & Pengpeng Jiao & Sining Liu & Xi Zhang & Guohua Song & Lei Yu, 2023. "Identifying Traffic Congestion Patterns of Urban Road Network Based on Traffic Performance Index," Sustainability, MDPI, vol. 15(2), pages 1-22, January.

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