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Unveiling pedestrian injury risk factors through integration of urban contexts using multimodal deep learning

Reports and Strategies | 1 December 2023

This study aims to identify contributing risk factors for pedestrian injury by integrating socio-spatial and street- 
level contexts through multimodal deep learning to overcome the limitations of existing studies that only consider one type of data.

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Date

1 December 2023

Publication Type

Reports and Strategies

Publisher Name

Sustainable Cities and Society

Countries

Global

Keywords

Data-Focused Initiatives New Technology Post-crash Response Powered Two- and Three-Wheelers Road Safety in Urban Settings Road Safety Management Safer Road Users Safer Roads Safer Speeds Safer Vehicles Vulnerable Road Users

Sources

Research Institutions

Languages

English (en)