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Examining the geometry of streets through accessibility: new insights from streetspace allocation analysis

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  • Nicolas Palominos
  • Duncan A Smith

Abstract

This paper describes streetspace allocation analysis, a method that uses street cross-sections to measure footway and carriageway widths and quantify a key parameter of street design citywide. The resulting network-based streetspace allocation metrics are employed on a proof-of-concept study of train station service areas in London, applying shortest-path analysis under a place and walking prioritisation approach. Overall, streetspace allocation statistics for London confirm the citywide predominance of space allocated for vehicular transport over pedestrian uses. A comparison of the current distribution and proposed re-allocation of streetspace on streets near stations allows for the investigation of the effects of streetspace enhancements, which tend to be beneficial in reducing pedestrian movement impedance and extending service areas. The methods presented here can offer valuable analytical capacity for developing new transit-oriented schemes and designing place-based streets that support sustainable transport and sustainable urban development.

Suggested Citation

  • Nicolas Palominos & Duncan A Smith, 2023. "Examining the geometry of streets through accessibility: new insights from streetspace allocation analysis," Environment and Planning B, , vol. 50(8), pages 2203-2219, October.
  • Handle: RePEc:sae:envirb:v:50:y:2023:i:8:p:2203-2219
    DOI: 10.1177/23998083221139849
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    References listed on IDEAS

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    1. Michael Szell, 2018. "Crowdsourced Quantification and Visualization of Urban Mobility Space Inequality," Urban Planning, Cogitatio Press, vol. 3(1), pages 1-20.
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    3. Szell, Michael, 2018. "Crowdsourced Quantification and Visualization of Urban Mobility Space Inequality," SocArXiv je5r4, Center for Open Science.
    4. De Gruyter, Chris & Zahraee, Seyed Mojib & Young, William, 2022. "Understanding the allocation and use of street space in areas of high people activity," Journal of Transport Geography, Elsevier, vol. 101(C).
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