Palominos, Nicolas;
Smith, Duncan A;
(2022)
Examining the geometry of streets through accessibility: new insights from streetspace allocation analysis.
Environment and Planning B: Urban Analytics and City Science
10.1177/23998083221139849.
(In press).
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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.
Type: | Article |
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Title: | Examining the geometry of streets through accessibility: new insights from streetspace allocation analysis |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1177/23998083221139849 |
Publisher version: | https://doi.org/10.1177/23998083221139849 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10164715 |
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