Aligning with the United Nations' Sustainable Development Goals, the focus on creating safe, sustainable cities and enhancing the wellbeing of individuals across all age groups has become a central aspect of urban planning and environmental management. The environments we live in significantly influence our thoughts, emotions, and interactions with the world around us. Our study aims to unveil the social inequity of citizens' wellbeing, reflected by their perception on neighborhood environment (e.g., feeling of depression), across different social/vulnerable groups (i.e., White, Black, Asian, Hispanic, low-income, low-educated, and unemployed) via crowdsourced street view imageries and computer vision. Specifically, we quantified the actual built environment in the 5D dimensions (i.e., density, diversity, design, distance, and destination) based on multiple sources; measured six types of neighborhood visual environment (i.e., perception of beautiful, safe, wealthy, liveable, boring and depressing) and the overall neighborhood soundness index by using computer vision technique and street view imageries collected from Mapillary; and unveiled the actual built environmental features that are associated with people's visual perception towards the surrounding environment via multi-model machine learning methods. Our pilot study in Los Angeles County finds that neighborhoods with higher concentrations of Black, Hispanic, low-income, low-educated, and unemployed populations are perceived as less beautiful, liveable, safe, and wealthy. The most important actual built environment features positively influencing human perception include the density of canopy, followed by the density of multiple units, the distance to CBD, and car commuting to destinations, regardless of social groups. Our key findings provide place-based evidence for the design and upgrading of the community environment that further affects people's daily activity and living style. Our framework and methods can be applied to cross-disciplinary studies, aiding urban planning and healthy city initiatives with place-based evidence.
{"title":"Reducing the social inequity of neighborhood visual environment in Los Angeles through computer vision and multi-model machine learning.","authors":"Siqin Wang, Jooyoung Yoo, Wenhui Cai, Fan Yang, Xiao Huang, Qian Chayn Sun, Shaokun Lyu","doi":"10.1016/j.scs.2024.106062","DOIUrl":"10.1016/j.scs.2024.106062","url":null,"abstract":"<p><p>Aligning with the United Nations' Sustainable Development Goals, the focus on creating safe, sustainable cities and enhancing the wellbeing of individuals across all age groups has become a central aspect of urban planning and environmental management. The environments we live in significantly influence our thoughts, emotions, and interactions with the world around us. Our study aims to unveil the social inequity of citizens' wellbeing, reflected by their perception on neighborhood environment (e.g., feeling of depression), across different social/vulnerable groups (i.e., White, Black, Asian, Hispanic, low-income, low-educated, and unemployed) via crowdsourced street view imageries and computer vision. Specifically, we quantified the actual built environment in the 5D dimensions (i.e., density, diversity, design, distance, and destination) based on multiple sources; measured six types of neighborhood visual environment (i.e., perception of beautiful, safe, wealthy, liveable, boring and depressing) and the overall neighborhood soundness index by using computer vision technique and street view imageries collected from Mapillary; and unveiled the actual built environmental features that are associated with people's visual perception towards the surrounding environment via multi-model machine learning methods. Our pilot study in Los Angeles County finds that neighborhoods with higher concentrations of Black, Hispanic, low-income, low-educated, and unemployed populations are perceived as less beautiful, liveable, safe, and wealthy. The most important actual built environment features positively influencing human perception include the density of canopy, followed by the density of multiple units, the distance to CBD, and car commuting to destinations, regardless of social groups. Our key findings provide place-based evidence for the design and upgrading of the community environment that further affects people's daily activity and living style. Our framework and methods can be applied to cross-disciplinary studies, aiding urban planning and healthy city initiatives with place-based evidence.</p>","PeriodicalId":22307,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":""},"PeriodicalIF":11.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11781154/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143080961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1016/j.scs.2024.105196
Farzad Dargahi, Javad Imani Shamloo
{"title":"Corrigendum to “Investigating the realization of spatial justice based on multi-criteria decision-making methods in a metropolis in northwest Iran” [Sustainable Cities and Society, 99 (2023) 104986]","authors":"Farzad Dargahi, Javad Imani Shamloo","doi":"10.1016/j.scs.2024.105196","DOIUrl":"https://doi.org/10.1016/j.scs.2024.105196","url":null,"abstract":"","PeriodicalId":22307,"journal":{"name":"Sustainable Cities and Society","volume":"69 1","pages":""},"PeriodicalIF":11.7,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139537019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1016/j.scs.2024.105195
Yanlei Sun, Zhanlei Xing, Guojun Liu
{"title":"Corrigendum to “Achieving resilient cities using data-driven energy transition: A statistical examination of energy policy effectiveness and community engagement” [Sustainable Cities and Society, Volume 101, February 2024, 105155]","authors":"Yanlei Sun, Zhanlei Xing, Guojun Liu","doi":"10.1016/j.scs.2024.105195","DOIUrl":"https://doi.org/10.1016/j.scs.2024.105195","url":null,"abstract":"","PeriodicalId":22307,"journal":{"name":"Sustainable Cities and Society","volume":"39 10","pages":""},"PeriodicalIF":11.7,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139540322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1016/j.scs.2023.105165
Ching-Yin Cheng, Tzu-Ping Lin
{"title":"Decision Tree Analysis of Thermal Comfort in the Courtyard of a Senior Residence in Hot and Humid Climate","authors":"Ching-Yin Cheng, Tzu-Ping Lin","doi":"10.1016/j.scs.2023.105165","DOIUrl":"https://doi.org/10.1016/j.scs.2023.105165","url":null,"abstract":"","PeriodicalId":22307,"journal":{"name":"Sustainable Cities and Society","volume":"105 2","pages":""},"PeriodicalIF":11.7,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139191183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1016/j.scs.2023.105161
Fengyu Liu, Yuxiang Chen, Jiulong Zhu, Ge Zhai
{"title":"Enhancing Sustainable Urban Economies: A Statistical Investigation of Transitioning from Fossil Fuel-Dependent Industries to Green Innovation Hubs","authors":"Fengyu Liu, Yuxiang Chen, Jiulong Zhu, Ge Zhai","doi":"10.1016/j.scs.2023.105161","DOIUrl":"https://doi.org/10.1016/j.scs.2023.105161","url":null,"abstract":"","PeriodicalId":22307,"journal":{"name":"Sustainable Cities and Society","volume":"277 1","pages":""},"PeriodicalIF":11.7,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139189425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1016/j.scs.2023.105160
Dr. Yan Zhong, Dr. Yunqi Li
{"title":"Statistical Evaluation of Sustainable Urban Networks Energy Management Using Integration of PV Renewable Energy Sources and Climate Changes","authors":"Dr. Yan Zhong, Dr. Yunqi Li","doi":"10.1016/j.scs.2023.105160","DOIUrl":"https://doi.org/10.1016/j.scs.2023.105160","url":null,"abstract":"","PeriodicalId":22307,"journal":{"name":"Sustainable Cities and Society","volume":"57 9","pages":""},"PeriodicalIF":11.7,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139192365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1016/j.scs.2023.105156
Dr. Jiaxiu Li, Dr. Yunfeng Li, Dr. Juanjuan Huang
{"title":"Optimal Scheduling of Household Appliances in Urban Smart Home: Community Approaches to Socio-Economic Aspects of Urban Energy Transition","authors":"Dr. Jiaxiu Li, Dr. Yunfeng Li, Dr. Juanjuan Huang","doi":"10.1016/j.scs.2023.105156","DOIUrl":"https://doi.org/10.1016/j.scs.2023.105156","url":null,"abstract":"","PeriodicalId":22307,"journal":{"name":"Sustainable Cities and Society","volume":"15 1","pages":""},"PeriodicalIF":11.7,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139195041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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