Version 1
: Received: 3 March 2023 / Approved: 6 March 2023 / Online: 6 March 2023 (13:15:01 CET)
How to cite:
Cui, Q.; Gong, P.; Yang, G.; Zhang, S.; Huang, Y.; Shen, S.; Wei, B.; Chen, Y. Women-oriented Evaluation of Perceived Safety of Walking Routes Between Home and Mass Transit: A Case Study and Methodology Test in Guangzhou. Preprints2023, 2023030104. https://doi.org/10.20944/preprints202303.0104.v1
Cui, Q.; Gong, P.; Yang, G.; Zhang, S.; Huang, Y.; Shen, S.; Wei, B.; Chen, Y. Women-oriented Evaluation of Perceived Safety of Walking Routes Between Home and Mass Transit: A Case Study and Methodology Test in Guangzhou. Preprints 2023, 2023030104. https://doi.org/10.20944/preprints202303.0104.v1
Cui, Q.; Gong, P.; Yang, G.; Zhang, S.; Huang, Y.; Shen, S.; Wei, B.; Chen, Y. Women-oriented Evaluation of Perceived Safety of Walking Routes Between Home and Mass Transit: A Case Study and Methodology Test in Guangzhou. Preprints2023, 2023030104. https://doi.org/10.20944/preprints202303.0104.v1
APA Style
Cui, Q., Gong, P., Yang, G., Zhang, S., Huang, Y., Shen, S., Wei, B., & Chen, Y. (2023). Women-oriented Evaluation of Perceived Safety of Walking Routes Between Home and Mass Transit: A Case Study and Methodology Test in Guangzhou. Preprints. https://doi.org/10.20944/preprints202303.0104.v1
Chicago/Turabian Style
Cui, Q., Bingcai Wei and Yu Chen. 2023 "Women-oriented Evaluation of Perceived Safety of Walking Routes Between Home and Mass Transit: A Case Study and Methodology Test in Guangzhou" Preprints. https://doi.org/10.20944/preprints202303.0104.v1
Abstract
Streets are an essential element of urban safety governance and urban design, but they are designed with little regard for possible gender differences. This study proposes a safety perception evaluation method from the female perspective based on street view images (SVIs) and mobile phone data, taking the central city of Guangzhou as an example. The method relies on crowdsourced data and uses a machine learning model to predict the safety perception map. It combines the simulation of women's walking commuting paths to analyse the areas that need to be prioritised for improvement. Multiple linear regression was used to explain the relationship between safety perception and visual elements. The results showed the following: 1) There were differences in safety perceptions across genders. Women gave overall lower safety scores and more dispersed distribution of scores. 2) Approximately 11% of the streets in the study area showed weak perceived safety, and approximately 3% of these streets have high pedestrian flows and require priority improvements. 3) Safe visual elements in SVIs included the existence of roads, sidewalks, cars, railways, people, skyscrapers, and trees. Our findings can help urban designers determine how to evaluate urban safety and where to optimise key areas. Both have practical implications for urban planners seeking to create urban environments that promote greater safety.
Keywords
perceived safety; women; urban science; mobile phone data; street view
Subject
Social Sciences, Geography, Planning and Development
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.