TY - JOUR
T1 - A planning support system for boosting walkability
AU - Bencekri, Madiha
AU - Lee, Doyun
AU - Ku, Donggyun
AU - Lee, Seungjae
N1 - Publisher Copyright:
© 2023 ICE Publishing. All rights reserved.
PY - 2023
Y1 - 2023
N2 - This study introduces a Walkability Planning Support System (W-PSS), a novel framework designed to revolutionize urban walkability within the 15-minute city concept. The W-PSS stands out for its approach that develops a new walkability index, underscores pertinent explanatory variables, and introduces a methodology for sculpting diverse walkability scenarios using the Multiscale Geographical Weighted Regression model which achieved an adjusted R-squared of 67.3%. Central to the findings is the significant role of employment density in enhancing walkability, and the nuanced interplay between commercial and population densities. A particularly insightful revelation is the unexpected negative correlation between cycling and walkability, emphasizing the need for a meticulous strategy to avoid cyclist-pedestrian conflict by harmoniously integrating and balancing both modes. Additionally, while cities with robust public transit showed limited room for enhancement, safety, and green space emerged as opportunities for refinement. Conclusively, informed by these insights, this research furnishes tailored scenarios and policy recommendations to foster enhanced walkability in urban landscapes. While the W-PSS framework offers a universal planning support system model for assessing and improving walkability, the study acknowledges that the concluded insights and implications vary based on each city’s unique characteristics. Therefore, the application and the interpretation of results should be tailored.
AB - This study introduces a Walkability Planning Support System (W-PSS), a novel framework designed to revolutionize urban walkability within the 15-minute city concept. The W-PSS stands out for its approach that develops a new walkability index, underscores pertinent explanatory variables, and introduces a methodology for sculpting diverse walkability scenarios using the Multiscale Geographical Weighted Regression model which achieved an adjusted R-squared of 67.3%. Central to the findings is the significant role of employment density in enhancing walkability, and the nuanced interplay between commercial and population densities. A particularly insightful revelation is the unexpected negative correlation between cycling and walkability, emphasizing the need for a meticulous strategy to avoid cyclist-pedestrian conflict by harmoniously integrating and balancing both modes. Additionally, while cities with robust public transit showed limited room for enhancement, safety, and green space emerged as opportunities for refinement. Conclusively, informed by these insights, this research furnishes tailored scenarios and policy recommendations to foster enhanced walkability in urban landscapes. While the W-PSS framework offers a universal planning support system model for assessing and improving walkability, the study acknowledges that the concluded insights and implications vary based on each city’s unique characteristics. Therefore, the application and the interpretation of results should be tailored.
KW - 15-minute city
KW - Transport planning
KW - UN SDG 11: Sustainable cities and communities
KW - UN SDG 13: Climate action
KW - planning support system
KW - sustainable development
KW - walkability
UR - http://www.scopus.com/inward/record.url?scp=85181454529&partnerID=8YFLogxK
U2 - 10.1680/jmuen.23.00040
DO - 10.1680/jmuen.23.00040
M3 - Article
AN - SCOPUS:85181454529
SN - 0965-0903
JO - Proceedings of the Institution of Civil Engineers: Municipal Engineer
JF - Proceedings of the Institution of Civil Engineers: Municipal Engineer
ER -