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Neighbourhood type and walkshed size

Author

Listed:
  • B.A. Sandalack
  • F.G. Alaniz Uribe
  • A. Eshghzadeh Zanjani
  • A. Shiell
  • G.R. McCormack
  • P.K. Doyle-Baker

Abstract

Neighbourhood block pattern has been hypothesized to be a major factor in providing residents with the potential for walking. However, without an accurate tool to measure walksheds, this was not verifiable. Recent research, a portion of the EcoEUFORIA (Economic Evaluation of Urban Form to Increase Activity) project, provided techniques for accurately measuring walksheds, and allowed statistical analysis of a large data-set representing all the neighbourhoods in Calgary, Canada. This research demonstrates that walkshed size varies among neighbourhood types, with the grid block pattern being the most walkable, and the curvilinear pattern the least. Despite the growing body of knowledge regarding walkability, the prevailing practice is to continue to develop the less walkable curvilinear forms. This research has the potential to influence the development of planning policies that promote more walkable neighbourhood design, in that it illustrates clearly, and using a large data-set, the relationships between neighbourhood form and walkability.

Suggested Citation

  • B.A. Sandalack & F.G. Alaniz Uribe & A. Eshghzadeh Zanjani & A. Shiell & G.R. McCormack & P.K. Doyle-Baker, 2013. "Neighbourhood type and walkshed size," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 6(3), pages 236-255, November.
    • Handle: RePEc:taf:rjouxx:v:6:y:2013:i:3:p:236-255
    DOI: 10.1080/17549175.2013.771694
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    Cited by:

    1. Berjisian, Elmira & Habibian, Meeghat, 2019. "Developing a pedestrian destination choice model using the stratified importance sampling method," Journal of Transport Geography, Elsevier, vol. 77(C), pages 39-47.
    2. Zhenqi Zhou & Zhen Xu, 2020. "Detecting the Pedestrian Shed and Walking Route Environment of Urban Parks with Open-Source Data: A Case Study in Nanjing, China," IJERPH, MDPI, vol. 17(13), pages 1-16, July.
    3. Natalie Wiseman & Zachary Patterson, 2016. "Testing block subdivision algorithms on block designs," Journal of Geographical Systems, Springer, vol. 18(1), pages 17-43, January.
    4. Dalit Shach-Pinsly & Tamar Ganor, 2021. "A New Approach for Assessing Secure and Vulnerable Areas in Central Urban Neighborhoods Based on Social-Groups’ Analysis," Sustainability, MDPI, vol. 13(3), pages 1-25, January.

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