Jaywalking Index: Visual and Socio-demographic Patterns in London

This quantitative research delves into the intricate dynamics of pedestrian safety, urban design, and behavioral analysis within the overarching framework of Vision Zero principles in London, UK. With a specific emphasis on comprehending jaywalking behavior, this study investigates the sociodemograp...

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Bibliographic Details
Main Author: de Castro Filho, Fabio Marcel
Other Authors: Duartede Araujo Silva, Fabio
Format: Thesis
Published: Massachusetts Institute of Technology 2024
Online Access:https://hdl.handle.net/1721.1/156103
https://orcid.org/0000-0001-6589-6037
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author de Castro Filho, Fabio Marcel
author2 Duartede Araujo Silva, Fabio
author_facet Duartede Araujo Silva, Fabio
de Castro Filho, Fabio Marcel
author_sort de Castro Filho, Fabio Marcel
collection MIT
description This quantitative research delves into the intricate dynamics of pedestrian safety, urban design, and behavioral analysis within the overarching framework of Vision Zero principles in London, UK. With a specific emphasis on comprehending jaywalking behavior, this study investigates the sociodemographic characteristics of jaywalkers and examines the correlation between urban design features surrounding jaywalking crashes. Employing GIS, the research analyzes 25,732 pedestrian crashes and utilizes Visual Artificial Intelligence to segment 280,000 images obtained from Google Street View. Key findings encompass the sociodemographic profiles of jaywalkers and the formulation of a jaywalking index, which serves as an initial tool for identifying areas warranting further investigation in urban design. This index aids in pinpointing regions with a heightened probability of pedestrian crashes, offering valuable insights for proactive urban planning and safety enhancement measures. Keywords Urban Design; Urban Science; Mobility; Visual Artificial Intelligence; Computer Vision.
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spelling mit-1721.1/1561032024-08-15T03:56:06Z Jaywalking Index: Visual and Socio-demographic Patterns in London de Castro Filho, Fabio Marcel Duartede Araujo Silva, Fabio Massachusetts Institute of Technology. Department of Urban Studies and Planning This quantitative research delves into the intricate dynamics of pedestrian safety, urban design, and behavioral analysis within the overarching framework of Vision Zero principles in London, UK. With a specific emphasis on comprehending jaywalking behavior, this study investigates the sociodemographic characteristics of jaywalkers and examines the correlation between urban design features surrounding jaywalking crashes. Employing GIS, the research analyzes 25,732 pedestrian crashes and utilizes Visual Artificial Intelligence to segment 280,000 images obtained from Google Street View. Key findings encompass the sociodemographic profiles of jaywalkers and the formulation of a jaywalking index, which serves as an initial tool for identifying areas warranting further investigation in urban design. This index aids in pinpointing regions with a heightened probability of pedestrian crashes, offering valuable insights for proactive urban planning and safety enhancement measures. Keywords Urban Design; Urban Science; Mobility; Visual Artificial Intelligence; Computer Vision. M.C.P. 2024-08-14T19:51:26Z 2024-08-14T19:51:26Z 2024-05 2024-06-28T21:03:10.109Z Thesis https://hdl.handle.net/1721.1/156103 https://orcid.org/0000-0001-6589-6037 In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology
spellingShingle de Castro Filho, Fabio Marcel
Jaywalking Index: Visual and Socio-demographic Patterns in London
title Jaywalking Index: Visual and Socio-demographic Patterns in London
title_full Jaywalking Index: Visual and Socio-demographic Patterns in London
title_fullStr Jaywalking Index: Visual and Socio-demographic Patterns in London
title_full_unstemmed Jaywalking Index: Visual and Socio-demographic Patterns in London
title_short Jaywalking Index: Visual and Socio-demographic Patterns in London
title_sort jaywalking index visual and socio demographic patterns in london
url https://hdl.handle.net/1721.1/156103
https://orcid.org/0000-0001-6589-6037
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