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Quantifying and Mapping Streetspace: a Geocomputational Method for the Citywide Analysis of Pedestrian and Vehicular Streetspace

Palominos, N; Smith, DA; (2019) Quantifying and Mapping Streetspace: a Geocomputational Method for the Citywide Analysis of Pedestrian and Vehicular Streetspace. (CASA Working Paper 212). The Bartlett Centre for Advanced Spatial Analysis, UCL (University College London): London, UK. Green open access

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Abstract

The purpose of this paper is to present a methodology for quantifying streetspace designation across entire cities. The new street level data is generated using a geocomputational approach that both allows for a quantitative citywide description of streetspace at a micro-scale and that can be replicated across multiple cities. The high spatial resolution description of streetspace covering large urban areas can be valuable to city designers and urban planners in the context of current challenges of street congestion, promoting active travel and rapidly evolving mobility technologies. It is observed that London streetspace is assigned mainly to vehicles and wider streets relate to the street network hierarchy and concentrate in the inner city. The new street level data introduced here can yield important insights for street research, planning and design.

Type: Working / discussion paper
Title: Quantifying and Mapping Streetspace: a Geocomputational Method for the Citywide Analysis of Pedestrian and Vehicular Streetspace
Open access status: An open access version is available from UCL Discovery
Publisher version: https://www.ucl.ac.uk/bartlett/casa/publications/2...
Language: English
Keywords: streetspace, mapping, urban structure, street network
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.ucl.ac.uk/id/eprint/10082326
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