IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v56y2016icp53-61.html
   My bibliography  Save this article

Spatial coverage index for assessing national and regional transportation infrastructures

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692316304604
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jtrangeo.2016.08.015?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. 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).
    2. Keeling, David J., 2013. "Transport research challenges in Latin America," Journal of Transport Geography, Elsevier, vol. 29(C), pages 103-104.
    3. 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.
    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. 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.

    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. Keeling, David J., 2019. "Twenty five years of the Journal of Transport Geography," Journal of Transport Geography, Elsevier, vol. 81(C).
    2. Daniel S. A. Carvalho & Gervásio F. Santos, 2022. "Transport and density of population groups in the urban area of the city of Salvador," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(6), pages 234-253, December.
    3. Rodrigues, Daniel Souto & Ribeiro, Paulo Jorge Gomes & da Silva Nogueira, Isabel Cristina, 2015. "Safety classification using GIS in decision-making process to define priority road interventions," Journal of Transport Geography, Elsevier, vol. 43(C), pages 101-110.
    4. Rehermann, F. & Pablo-Romero, M., 2018. "Economic growth and transport energy consumption in the Latin American and Caribbean countries," Energy Policy, Elsevier, vol. 122(C), pages 518-527.
    5. Moises Lenyn Obaco Alvarez & Vicente Royuela & Xavier Vítores, 2016. "Computing functional urban areas using a hierarchical travel time approach," ERSA conference papers ersa16p238, European Regional Science Association.
    6. Vassilis Tselios & Demetris Stathakis, 2020. "Exploring regional and urban clusters and patterns in Europe using satellite observed lighting," Environment and Planning B, , vol. 47(4), pages 553-568, May.
    7. Cats, Oded & Wang, Qian & Zhao, Yu, 2015. "Identification and classification of public transport activity centres in Stockholm using passenger flows data," Journal of Transport Geography, Elsevier, vol. 48(C), pages 10-22.
    8. Aguiar, Larissa Limongi & Manzato, Gustavo Garcia & Rodrigues da Silva, Antônio Nélson, 2020. "Combining travel and population data through a bivariate spatial analysis to define Functional Urban Regions," Journal of Transport Geography, Elsevier, vol. 82(C).
    9. Milne, Dave & Watling, David, 2019. "Big data and understanding change in the context of planning transport systems," Journal of Transport Geography, Elsevier, vol. 76(C), pages 235-244.
    10. Mi-Kyeong Kim & Sangpil Kim & Hong-Gyoo Sohn, 2018. "Relationship between Spatio-Temporal Travel Patterns Derived from Smart-Card Data and Local Environmental Characteristics of Seoul, Korea," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    11. Blanco, Jorge & Apaolaza, Ricardo, 2018. "Socio-territorial inequality and differential mobility. Three key issues in the Buenos Aires Metropolitan Region," Journal of Transport Geography, Elsevier, vol. 67(C), pages 76-84.
    12. Fischer, Bruno & Meissner, Dirk & Vonortas, Nicholas & Guerrero, Maribel, 2022. "Spatial features of entrepreneurial ecosystems," Journal of Business Research, Elsevier, vol. 147(C), pages 27-36.
    13. Pengjun Zhao, 2015. "The determinants of the commuting burden of low-income workers: evidence from Beijing," Environment and Planning A, , vol. 47(8), pages 1736-1755, August.

    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:jotrge:v:56:y:2016:i:c:p:53-61. 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: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.