IDEAS home Printed from https://ideas.repec.org/a/bjc/journl/v9y2024i5p379-394.html
   My bibliography  Save this article

Measurement of Neighbourhood Walkability in Enugu, Nigeria

Author

Listed:
  • Chukwuemeka Orji

    (Department of Urban and Regional Planning, Nnamdi Azikiwe University, Awka, Nigeria.)

  • Ebenezer Ngene

    (Department of Urban and Regional Planning, Enugu State University of Science and Technology, Enugu, Nigeria.)

  • Somkenechi Sophia Unachukwu

    (Department of Urban and Regional Planning, Nnamdi Azikiwe University, Awka, Nigeria.)

  • Charles Emeka Abaekih

    (Department of Urban and Regional Planning, Nnamdi Azikiwe University, Awka, Nigeria.)

Abstract

Walking has many benefits, from reducing air pollution, traffic congestion and resource consumption to solving obesity and other health problems. However, the dramatic growth in the number of automobiles and the frequency of their use in most Nigerian cities, as well as the general neglect of pedestrian needs in roadway design and land-use planning, have increased the vulnerability of pedestrians to several risk factors that may constrain walkability. This study measured the walkability of selected residential neighbourhoods in Enugu metropolis, using some neighbourhood built-environment characteristics, specifically residential density, land use mix and street connectivity as indicators. The study was based on the concept of walkability and the hierarchy of walking needs. A descriptive research design was adopted, and purposive sampling technique was used to select three residential neighbourhoods, one from each of the three Local Government Areas that make up Enugu metropolis, each representing low, medium, and high-density residential categories, respectively. Aerial images of the selected residential neighbourhoods were captured and downloaded from the Google Earth application, and the ArcGIS 10.2 application was used to digitise and analyse the images. GIS and a composite walkability index generated from the GIS analysis were used to measure the walkability of the selected residential neighbourhoods. The study revealed that New Haven, a medium-density residential neighbourhood, has the highest walkability score among the selected neighbourhoods and is the most walkable neighbourhood in the study area. New Haven was closely followed by Garriki, a high-density neighbourhood, and Trans-Ekulu, a low-density residential neighbourhood. The study further revealed that homogenous land use and the unavailability of walking facilities are significant factors that inhibit walkability in the study area. The inclusion of pedestrian walkways and cyclist lanes in road designs, the establishment of organised commercial and retail outlets, especially in low-density residential neighbourhoods, rehabilitation and proper maintenance of the roads, especially in the inner streets, provision and adequate maintenance of walking facilities and street furniture, location of recreational facilities at proximity to homes, organisation and regulation of the number of public transportation modes within the residential neighbourhoods, and the provision of street lightings along the streets within the neighbourhoods was recommended as ways of improving and enhancing walkability in the study area.

Suggested Citation

  • Chukwuemeka Orji & Ebenezer Ngene & Somkenechi Sophia Unachukwu & Charles Emeka Abaekih, 2024. "Measurement of Neighbourhood Walkability in Enugu, Nigeria," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 9(5), pages 379-394, May.
  • Handle: RePEc:bjc:journl:v:9:y:2024:i:5:p:379-394
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijrias/digital-library/volume-9-issue-5/379-394.pdf
    Download Restriction: no

    File URL: https://rsisinternational.org/journals/ijrias/articles/measurement-of-neighbourhood-walkability-in-enugu-nigeria/
    Download Restriction: no
    ---><---

    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:bjc:journl:v:9:y:2024:i:5:p:379-394. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Dr. Renu Malsaria (email available below). General contact details of provider: https://rsisinternational.org/journals/ijrias/ .

    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.