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A standardized modeling method for Chinese residential building clusters in solar radiation simulation
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-02-04 DOI: 10.1016/j.scs.2025.106186
Zhengrong Li , Chenliang Ma , Heyu Wang
High-rise and high-density urban housing developments affect solar radiation dissipation, leading to heat accumulation and poor micro-environment quality, especially in high-latitude regions. Numerical simulation is a widely adopted method to study this phenomenon. However, inconsistencies in the selection and description of building model details across different studies can influence simulation results, thereby compromising the general applicability of research conclusions. This study identifies key building details that significantly influence simulation results and develops mathematical models (CLT, BLF, TPM, and RGD) to describe them uniformly and accurately. We propose a standardized modeling method for residential buildings in China, including detailed procedures and parameter formats. Results indicate that building shape, layout, facade (openings for doors and windows), and ground (distribution of roads and green space) are critical factors to consider in solar radiation simulation. The standardized model closely matches real building cases, with relative errors in footprint area, area ratio of window to wall, and road length under 5 %, and geometric deviations of building plan outlines, facade openings, and road centerlines under 0.3m. This method ensures interoperability of models across different simulation studies, facilitating further research, cross-validation, and improving the generalizability of conclusions.
{"title":"A standardized modeling method for Chinese residential building clusters in solar radiation simulation","authors":"Zhengrong Li ,&nbsp;Chenliang Ma ,&nbsp;Heyu Wang","doi":"10.1016/j.scs.2025.106186","DOIUrl":"10.1016/j.scs.2025.106186","url":null,"abstract":"<div><div>High-rise and high-density urban housing developments affect solar radiation dissipation, leading to heat accumulation and poor micro-environment quality, especially in high-latitude regions. Numerical simulation is a widely adopted method to study this phenomenon. However, inconsistencies in the selection and description of building model details across different studies can influence simulation results, thereby compromising the general applicability of research conclusions. This study identifies key building details that significantly influence simulation results and develops mathematical models (CLT, BLF, TPM, and RGD) to describe them uniformly and accurately. We propose a standardized modeling method for residential buildings in China, including detailed procedures and parameter formats. Results indicate that building shape, layout, facade (openings for doors and windows), and ground (distribution of roads and green space) are critical factors to consider in solar radiation simulation. The standardized model closely matches real building cases, with relative errors in footprint area, area ratio of window to wall, and road length under 5 %, and geometric deviations of building plan outlines, facade openings, and road centerlines under 0.3m. This method ensures interoperability of models across different simulation studies, facilitating further research, cross-validation, and improving the generalizability of conclusions.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"121 ","pages":"Article 106186"},"PeriodicalIF":10.5,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143369839","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}
引用次数: 0
Breaking the inertia of traditional economic development: Does network infrastructure construction achieve urban carbon unlocking?
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-02-04 DOI: 10.1016/j.scs.2025.106197
Weiliang Tao , Shimei Weng , Xueli Chen , Malin Song
Under the global digitalization trend, enhancing the construction of new-generation information network infrastructure is crucial for China to break the high-carbon path dependence formed during traditional economic development. This study uses city-level data of China from 2010 to 2021 to calculate the carbon lock-in degree of 283 cities. It employs the “Broadband China” strategy as a quasi-natural experiment and utilizes a difference-in-differences model to explore the impact and mechanisms of network infrastructure construction on carbon lock-in. The study also examines network infrastructure construction's heterogeneous and spatial spillover effects. The results indicate that demonstration cities not only help reduce carbon lock-in within their region but also significantly promote carbon unlocking in neighboring cities. Furthermore, the pilot policy's inhibitory effect on carbon lock-in is achieved by reducing government intervention, curbing energy market segmentation, stimulating green technology innovation, and enhancing public environmental awareness. Additionally, the carbon unlocking effect induced by network infrastructure is more prominent in the first batch of demonstration cities, as well as in cities with higher administrative levels, urbanization rates, and network infrastructure maturity. However, the establishment of demonstration cities does not effectively address institution carbon lock-in. This research not only enhances the existing analytical framework of carbon lock-in but also offers valuable policy insights to accelerate broadband strategies implementation.
{"title":"Breaking the inertia of traditional economic development: Does network infrastructure construction achieve urban carbon unlocking?","authors":"Weiliang Tao ,&nbsp;Shimei Weng ,&nbsp;Xueli Chen ,&nbsp;Malin Song","doi":"10.1016/j.scs.2025.106197","DOIUrl":"10.1016/j.scs.2025.106197","url":null,"abstract":"<div><div>Under the global digitalization trend, enhancing the construction of new-generation information network infrastructure is crucial for China to break the high-carbon path dependence formed during traditional economic development. This study uses city-level data of China from 2010 to 2021 to calculate the carbon lock-in degree of 283 cities. It employs the “Broadband China” strategy as a quasi-natural experiment and utilizes a difference-in-differences model to explore the impact and mechanisms of network infrastructure construction on carbon lock-in. The study also examines network infrastructure construction's heterogeneous and spatial spillover effects. The results indicate that demonstration cities not only help reduce carbon lock-in within their region but also significantly promote carbon unlocking in neighboring cities. Furthermore, the pilot policy's inhibitory effect on carbon lock-in is achieved by reducing government intervention, curbing energy market segmentation, stimulating green technology innovation, and enhancing public environmental awareness. Additionally, the carbon unlocking effect induced by network infrastructure is more prominent in the first batch of demonstration cities, as well as in cities with higher administrative levels, urbanization rates, and network infrastructure maturity. However, the establishment of demonstration cities does not effectively address institution carbon lock-in. This research not only enhances the existing analytical framework of carbon lock-in but also offers valuable policy insights to accelerate broadband strategies implementation.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"121 ","pages":"Article 106197"},"PeriodicalIF":10.5,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387937","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}
引用次数: 0
Impacts of street tree canopy coverage on pedestrians' dynamic thermal perception and walking willingness
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-02-04 DOI: 10.1016/j.scs.2025.106196
Yijuan Sang, Yanjun Hu, Xiao Qin, Hai Yan, Renwu Wu, Fengtao Qian, Xinge Nan, Feng Shao, Zhiyi Bao
During extreme heat conditions, street trees play a crucial role in improving the thermal environments on urban non-motorized roads. This study examined the effects of varying street tree canopy cover on pedestrians' thermal perception, walking willingness, and heat mitigation behaviors in Lin'an District, Hangzhou, by measuring meteorological parameters of four roads with different tree canopy coverage ratios and analyzing questionnaires of 51 subjects. Results show that there were significant differences in air temperature between different experimental roads (p < 0.01). The road with high tree canopy cover experienced a reduction in air temperature by approximately 2.8 °C compared to the treeless road, effectively improving the thermal environments of sidewalks. Analysis of subjective thermal perception votes and skin temperatures of the forehead also indicated greater thermal comfort on the high-coverage road. Its significant shading effect reduced pedestrians' thermal exposure and decreased the frequency of heat mitigation behaviors. Additionally, varying levels of tree canopy cover had a substantial impact on pedestrians' walking willingness. The high-coverage road attracted more pedestrians to walk outdoors, with an average walking distance 0.75 km longer than on the treeless road. Roads with medium and low tree canopy cover also provided some improvement, though less effectively than the high-coverage road.
{"title":"Impacts of street tree canopy coverage on pedestrians' dynamic thermal perception and walking willingness","authors":"Yijuan Sang,&nbsp;Yanjun Hu,&nbsp;Xiao Qin,&nbsp;Hai Yan,&nbsp;Renwu Wu,&nbsp;Fengtao Qian,&nbsp;Xinge Nan,&nbsp;Feng Shao,&nbsp;Zhiyi Bao","doi":"10.1016/j.scs.2025.106196","DOIUrl":"10.1016/j.scs.2025.106196","url":null,"abstract":"<div><div>During extreme heat conditions, street trees play a crucial role in improving the thermal environments on urban non-motorized roads. This study examined the effects of varying street tree canopy cover on pedestrians' thermal perception, walking willingness, and heat mitigation behaviors in Lin'an District, Hangzhou, by measuring meteorological parameters of four roads with different tree canopy coverage ratios and analyzing questionnaires of 51 subjects. Results show that there were significant differences in air temperature between different experimental roads (<em>p</em> &lt; 0.01). The road with high tree canopy cover experienced a reduction in air temperature by approximately 2.8 °C compared to the treeless road, effectively improving the thermal environments of sidewalks. Analysis of subjective thermal perception votes and skin temperatures of the forehead also indicated greater thermal comfort on the high-coverage road. Its significant shading effect reduced pedestrians' thermal exposure and decreased the frequency of heat mitigation behaviors. Additionally, varying levels of tree canopy cover had a substantial impact on pedestrians' walking willingness. The high-coverage road attracted more pedestrians to walk outdoors, with an average walking distance 0.75 km longer than on the treeless road. Roads with medium and low tree canopy cover also provided some improvement, though less effectively than the high-coverage road.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"121 ","pages":"Article 106196"},"PeriodicalIF":10.5,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387858","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}
引用次数: 0
The impact of urban morphology on sunlight availability at urban and neighborhood scales: A systematic review
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-02-03 DOI: 10.1016/j.scs.2025.106194
Ehsan Rostami, Nazanin Nasrollahi
Assessing sunlight conditions in urban environments is crucial, as high-quality natural light is essential for human health and well-being while supporting the production of clean and affordable energy. This systematic review examines the current state of research on solar access in urban and neighborhood contexts, identifying key variables and the impact of urban morphology on indoor natural light levels and outdoor solar energy potential. Using the PRISMA protocol, 202 articles were selected, categorized based on thematic and spatial classifications, and their validation methods critically assessed. Key findings from the reviewed articles regarding the impact of urban morphology on solar access are presented and categorized by theme. Finally, the dependent and independent variables in the studies and the validation results were analyzed. The findings indicate that most studies at the urban scale have focused more on outdoor solar energy potential, with fewer studies examining indoor natural light conditions. Building density emerged as the most frequently investigated morphological parameter. Additionally, the review highlights the scarcity of studies that simultaneously consider indoor and outdoor spaces and jointly assess indoor-outdoor solar performance. Although approximately 25% of the studies included validation procedures, direct comparisons were challenging due to the need for standardized validation protocols.
{"title":"The impact of urban morphology on sunlight availability at urban and neighborhood scales: A systematic review","authors":"Ehsan Rostami,&nbsp;Nazanin Nasrollahi","doi":"10.1016/j.scs.2025.106194","DOIUrl":"10.1016/j.scs.2025.106194","url":null,"abstract":"<div><div>Assessing sunlight conditions in urban environments is crucial, as high-quality natural light is essential for human health and well-being while supporting the production of clean and affordable energy. This systematic review examines the current state of research on solar access in urban and neighborhood contexts, identifying key variables and the impact of urban morphology on indoor natural light levels and outdoor solar energy potential. Using the PRISMA protocol, 202 articles were selected, categorized based on thematic and spatial classifications, and their validation methods critically assessed. Key findings from the reviewed articles regarding the impact of urban morphology on solar access are presented and categorized by theme. Finally, the dependent and independent variables in the studies and the validation results were analyzed. The findings indicate that most studies at the urban scale have focused more on outdoor solar energy potential, with fewer studies examining indoor natural light conditions. Building density emerged as the most frequently investigated morphological parameter. Additionally, the review highlights the scarcity of studies that simultaneously consider indoor and outdoor spaces and jointly assess indoor-outdoor solar performance. Although approximately 25% of the studies included validation procedures, direct comparisons were challenging due to the need for standardized validation protocols.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"121 ","pages":"Article 106194"},"PeriodicalIF":10.5,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143209495","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}
引用次数: 0
Strategic bidding of virtual power plants in integrated electricity-carbon-green certificate market with renewable energy uncertainties
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-02-03 DOI: 10.1016/j.scs.2025.106176
Xu Gong , Xingmei Li , Zhiming Zhong
With the pace of global low-carbon energy transition, the electric power industry is developing towards a low-carbon structure. In order to effectively improve the revenue of each power generation entity and promote carbon emission reduction on the power generation side, this paper considers two auction-based carbon allowance and green certificate markets with dynamic pricing attributes coupled with the electricity market to improve their coupling with the electricity market and construct an integrate market for electricity-carbon-green certificate (ECG) trading. And a bi-level optimization model of VPP participation in ECG market based on cooperative game is proposed. A two-stage stochastic optimization model considering renewable energy output uncertainty is constructed in the upper level model. Then, a joint clearing model of ECG market is built in the lower level, while considering the participation in the electricity market to provide FRPs. Finally, an arithmetic case analysis is carried out with the example of IEEE 14-bus system and IEEE 48-bus system to validate the effectiveness of the proposed model. The simulation results show that the introduction of the carbon allowances and green certificate market leads to 9.4% increase in the proportion of renewable energy output by VPP in the electricity market. With the same generation size, the profit of high proportion of renewable energy VPP in ECG market is higher than that of conventional VPP 24780.57 €.
{"title":"Strategic bidding of virtual power plants in integrated electricity-carbon-green certificate market with renewable energy uncertainties","authors":"Xu Gong ,&nbsp;Xingmei Li ,&nbsp;Zhiming Zhong","doi":"10.1016/j.scs.2025.106176","DOIUrl":"10.1016/j.scs.2025.106176","url":null,"abstract":"<div><div>With the pace of global low-carbon energy transition, the electric power industry is developing towards a low-carbon structure. In order to effectively improve the revenue of each power generation entity and promote carbon emission reduction on the power generation side, this paper considers two auction-based carbon allowance and green certificate markets with dynamic pricing attributes coupled with the electricity market to improve their coupling with the electricity market and construct an integrate market for electricity-carbon-green certificate (ECG) trading. And a bi-level optimization model of VPP participation in ECG market based on cooperative game is proposed. A two-stage stochastic optimization model considering renewable energy output uncertainty is constructed in the upper level model. Then, a joint clearing model of ECG market is built in the lower level, while considering the participation in the electricity market to provide FRPs. Finally, an arithmetic case analysis is carried out with the example of IEEE 14-bus system and IEEE 48-bus system to validate the effectiveness of the proposed model. The simulation results show that the introduction of the carbon allowances and green certificate market leads to 9.4% increase in the proportion of renewable energy output by VPP in the electricity market. With the same generation size, the profit of high proportion of renewable energy VPP in ECG market is higher than that of conventional VPP 24780.57 €.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"121 ","pages":"Article 106176"},"PeriodicalIF":10.5,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350403","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}
引用次数: 0
High-dimensional urban dynamic patterns perception under the perspective of human activity semantics and spatiotemporal coupling
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-02-03 DOI: 10.1016/j.scs.2025.106192
Yunshuo Lv , Jiaqi Yang , Jun Xu , Xuyuan Guan , Jing Zhang
As urbanization accelerates, megacities are emerging globally. Various human activities shape dynamic urban spaces, understanding dynamic performance implicit within them is essential for developing smart cities. Previous studies on urban dynamic patterns mainly focused on the spatiotemporal dimensions, unable to explain the joint effects of higher-dimensional patterns. In fact, large-scale social media data encapsulate human activity features across multiple dimensions, including semantics, space, and time, whose combined effects drive the formation of high-dimensional urban dynamic patterns. This study proposes a framework that expands the activity semantics dimension on top of spatiotemporal dimensions and perceive these patterns through high-dimensional feature coupling. Activity semantics are extracted from social media texts using ERNIE 3.0, a large-scale knowledge-enhanced pre-trained model. Data with three features dimensions are coupled into high-order tensors, and tensor decomposition uncovers key patterns. A case study using Weibo check-in records within Beijing’s Sixth Ring Road extracted ten distinct activity semantics, and interpretable patterns along each dimension. Through core tensors, we identified eight urban dynamic patterns under various states and their corresponding activity complexity changes. Additionally, correlations between activity semantics (dynamic attributes) and fixed facility configurations (static attributes) were explored using Point of Interest (POI) data. The results confirm the advantages of our method in exploring high-dimensional urban dynamic patterns.
{"title":"High-dimensional urban dynamic patterns perception under the perspective of human activity semantics and spatiotemporal coupling","authors":"Yunshuo Lv ,&nbsp;Jiaqi Yang ,&nbsp;Jun Xu ,&nbsp;Xuyuan Guan ,&nbsp;Jing Zhang","doi":"10.1016/j.scs.2025.106192","DOIUrl":"10.1016/j.scs.2025.106192","url":null,"abstract":"<div><div>As urbanization accelerates, megacities are emerging globally. Various human activities shape dynamic urban spaces, understanding dynamic performance implicit within them is essential for developing smart cities. Previous studies on urban dynamic patterns mainly focused on the spatiotemporal dimensions, unable to explain the joint effects of higher-dimensional patterns. In fact, large-scale social media data encapsulate human activity features across multiple dimensions, including semantics, space, and time, whose combined effects drive the formation of high-dimensional urban dynamic patterns. This study proposes a framework that expands the activity semantics dimension on top of spatiotemporal dimensions and perceive these patterns through high-dimensional feature coupling. Activity semantics are extracted from social media texts using ERNIE 3.0, a large-scale knowledge-enhanced pre-trained model. Data with three features dimensions are coupled into high-order tensors, and tensor decomposition uncovers key patterns. A case study using Weibo check-in records within Beijing’s Sixth Ring Road extracted ten distinct activity semantics, and interpretable patterns along each dimension. Through core tensors, we identified eight urban dynamic patterns under various states and their corresponding activity complexity changes. Additionally, correlations between activity semantics (dynamic attributes) and fixed facility configurations (static attributes) were explored using Point of Interest (POI) data. The results confirm the advantages of our method in exploring high-dimensional urban dynamic patterns.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"121 ","pages":"Article 106192"},"PeriodicalIF":10.5,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387860","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}
引用次数: 0
Disparities in electric vehicle charging infrastructure distribution: A socio-spatial clustering study in King County, Washington
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-02-03 DOI: 10.1016/j.scs.2025.106193
Shiqi Ding , Lingzi Wu
Transportation electrification has emerged as a critical strategy for mitigating greenhouse gas emissions, yet recent studies have indicated multifaceted injustices in adopting electric vehicles (EVs). One key issue is the equitable planning of public electric vehicle charging infrastructure (EVCI), which is essential for promoting widespread EV use. While existing research predominantly focuses on measuring accessibility, limited attention has been given to equity assessment based on urban social typologies. This study examined EVCI distribution in King County, Washington, using a three-step framework: First, we clustered six micro-urban typologies incorporating 17 socio-spatial indicators. Second, we measured and mapped charging capacity standardized rates across the county. Third, we identified key factors, examined how their influence varies geographically, and analyzed disparities by comparing specific clusters. Our findings show that the current distribution of charging stations is capacity-driven, favoring en-route recharging needs over longer-stay residential charging needs. This trend disproportionately affects underserved communities in southern King County, leaving large residential areas underinvested. This utilitarian distribution potentially exacerbates the inequalities in the EV adoption process. Therefore, future EVCI planning needs to prioritize residential charging access, and community-level charger expansion should consider neighborhood-specific needs and readiness. Importantly, our proposed assessment framework can be applied to support nationwide transportation electrification efforts.
{"title":"Disparities in electric vehicle charging infrastructure distribution: A socio-spatial clustering study in King County, Washington","authors":"Shiqi Ding ,&nbsp;Lingzi Wu","doi":"10.1016/j.scs.2025.106193","DOIUrl":"10.1016/j.scs.2025.106193","url":null,"abstract":"<div><div>Transportation electrification has emerged as a critical strategy for mitigating greenhouse gas emissions, yet recent studies have indicated multifaceted injustices in adopting electric vehicles (EVs). One key issue is the equitable planning of public electric vehicle charging infrastructure (EVCI), which is essential for promoting widespread EV use. While existing research predominantly focuses on measuring accessibility, limited attention has been given to equity assessment based on urban social typologies. This study examined EVCI distribution in King County, Washington, using a three-step framework: First, we clustered six micro-urban typologies incorporating 17 socio-spatial indicators. Second, we measured and mapped charging capacity standardized rates across the county. Third, we identified key factors, examined how their influence varies geographically, and analyzed disparities by comparing specific clusters. Our findings show that the current distribution of charging stations is capacity-driven, favoring en-route recharging needs over longer-stay residential charging needs. This trend disproportionately affects underserved communities in southern King County, leaving large residential areas underinvested. This utilitarian distribution potentially exacerbates the inequalities in the EV adoption process. Therefore, future EVCI planning needs to prioritize residential charging access, and community-level charger expansion should consider neighborhood-specific needs and readiness. Importantly, our proposed assessment framework can be applied to support nationwide transportation electrification efforts.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"121 ","pages":"Article 106193"},"PeriodicalIF":10.5,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377132","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}
引用次数: 0
Risk of mortality and disease attributable to the heat stress index and its variability during heat waves: An observational study on the city of Madrid
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-02-02 DOI: 10.1016/j.scs.2025.106189
Mónica Puga-Bonilla , David Hidalgo-García , Hamed Rezapouraghdam , Francisco Javier Lafuente Bolivar
In recent years, global ambient temperatures have reached alarming levels, mainly due to global warming caused by climate change, pollution, and significant population growth. High temperatures have been linked to increased mortality and a higher risk of contracting various diseases, resulting in substantial healthcare costs for many governments and citizens who are unable to cope. As a result, it is critical to implement policies to mitigate these effects and improve people's lives. This research addresses the impact of high temperatures on human health, focusing on the relationship between urban morphological characteristics (Proportion of vegetation (VP) and Urban Index (UI), Heat Stress Index (HSI) and the risk of different cancers (prostate, breast, stomach, lung and colorectal) and diseases (dementia, stroke, suicides and chronic obstructive pulmonary disease (COPD)) in the different Local Climate Zones (LCZ) of Madrid, using Landsat 8 and 9 images and the UrbClim climate model. The main findings show that compact or high-density land cover zones exhibit a higher risk of contracting the examined diseases than open or low-density regions. This circumstance is motivated by the fact that such areas have less vegetation cover and experience higher rates of heat stress. Findings indicated that the lack of vegetation in compact and high-density areas reduces the ability to minimize extreme temperatures and heat, which is associated with a variety of health problems. This study provides valuable knowledge about the relationship between vegetation, HSI, and health in the different LCZs, providing a solid basis for sustainable urban planning strategies that improve the standard of living of the inhabitants not only of the city of Madrid but of the rest of the cities on the planet.
{"title":"Risk of mortality and disease attributable to the heat stress index and its variability during heat waves: An observational study on the city of Madrid","authors":"Mónica Puga-Bonilla ,&nbsp;David Hidalgo-García ,&nbsp;Hamed Rezapouraghdam ,&nbsp;Francisco Javier Lafuente Bolivar","doi":"10.1016/j.scs.2025.106189","DOIUrl":"10.1016/j.scs.2025.106189","url":null,"abstract":"<div><div>In recent years, global ambient temperatures have reached alarming levels, mainly due to global warming caused by climate change, pollution, and significant population growth. High temperatures have been linked to increased mortality and a higher risk of contracting various diseases, resulting in substantial healthcare costs for many governments and citizens who are unable to cope. As a result, it is critical to implement policies to mitigate these effects and improve people's lives. This research addresses the impact of high temperatures on human health, focusing on the relationship between urban morphological characteristics (Proportion of vegetation (VP) and Urban Index (UI), Heat Stress Index (HSI) and the risk of different cancers (prostate, breast, stomach, lung and colorectal) and diseases (dementia, stroke, suicides and chronic obstructive pulmonary disease (COPD)) in the different Local Climate Zones (LCZ) of Madrid, using Landsat 8 and 9 images and the UrbClim climate model. The main findings show that compact or high-density land cover zones exhibit a higher risk of contracting the examined diseases than open or low-density regions. This circumstance is motivated by the fact that such areas have less vegetation cover and experience higher rates of heat stress. Findings indicated that the lack of vegetation in compact and high-density areas reduces the ability to minimize extreme temperatures and heat, which is associated with a variety of health problems. This study provides valuable knowledge about the relationship between vegetation, HSI, and health in the different LCZs, providing a solid basis for sustainable urban planning strategies that improve the standard of living of the inhabitants not only of the city of Madrid but of the rest of the cities on the planet.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"121 ","pages":"Article 106189"},"PeriodicalIF":10.5,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143209496","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}
引用次数: 0
The synthetical effects of passive radiative cooling building envelopes and surrounding buildings on building daylighting and energy performance: A case study in Miami
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-02-02 DOI: 10.1016/j.scs.2025.106190
Xiaosong Su , Yongqiang Luo , Ling Zhang
Passive radiative cooling (PRC) technology has been incorporated into buildings, especially in the form of PRC building envelopes due to its energy-free and eco-friendly features. However, most existing studies focused on applying PRC building envelopes to an isolated building, while scarce research has considered the impacts of shading and reflection from surrounding highly reflective PRC buildings on building performance. To bridge the gap, a case study was conducted on a high-rise apartment (HA) located at the center of a nine-building community in Miami, Florida. The synthetical effects of opaque PRC building envelopes and surrounding buildings (SBs) on daylighting and energy performance were numerically analyzed through Radiance and EnergyPlus with variations in radiative cooling materials (RCMs), building orientation, and community layout. The results show that with the adoption of RCMs on the object HA, neglection of SBs can overestimate cumulative radiation on exterior walls by 96.19 %, spatial daylight autonomy (sDA) by 39.13 %, and total air conditioning energy consumption by 8.28 %, and underestimate spatial glare autonomy (sGA) by 21.27 %. Optimizing the synergistic effects of RCMs and SBs can strike a balance between daylighting and energy performance, yielding a sGA of 86.28 %, a sDA of 93.41 %, and an energy-saving rate of 16.28 %.
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引用次数: 0
Exploring temporal and spatial patterns and nonlinear driving mechanism of park perceptions: A multi-source big data study
IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-02-01 DOI: 10.1016/j.scs.2024.106083
Xukai Zhao , He Huang , Guangsi Lin , Yuxing Lu
To fully realize the benefits of parks, they must be both accessible and usable, with those excelling in these aspects often perceived as more attractive. Traditional surveys for evaluating perceived park accessibility, usability, and attractiveness are expensive and time-consuming, prompting the adoption of social media data as a viable alternative. This study fine-tuned the Chinese-RoBERTa-wwm-ext model on a specially curated dataset to measure perceived accessibility, usability, and attractiveness across 270 parks in Beijing and Guangzhou through 153,872 online comments. We conducted statistical analyses to uncover temporal patterns and incorporate park perception scores into the 2SFCA method for spatial distribution analysis. Additionally, we utilized XGBoost, SHAP, and PDP to investigate the nonlinear driving mechanisms behind these perceptions. Key findings include: (1) Park visitation demonstrates a strong seasonal pattern, with central urban parks consistently outperforming suburban ones; (2) Central subdistricts might face reduced park services due to high population demands; (3) Accessibility is significantly influenced by ticket pricing and transportation availability, especially bus stations; (4) Usability is optimal at a moderate density of sports and fitness facilities (22 per km2) and proximity to residential areas; (5) Attractiveness benefits from closeness to the Central Business District and amenities such as toilets and restaurants, with a critical park size threshold of 9 km2. These public-oriented analyses identify areas for improvement and factors shaping public perceptions, providing valuable guidance for strategic decision-making and effective urban management.
{"title":"Exploring temporal and spatial patterns and nonlinear driving mechanism of park perceptions: A multi-source big data study","authors":"Xukai Zhao ,&nbsp;He Huang ,&nbsp;Guangsi Lin ,&nbsp;Yuxing Lu","doi":"10.1016/j.scs.2024.106083","DOIUrl":"10.1016/j.scs.2024.106083","url":null,"abstract":"<div><div>To fully realize the benefits of parks, they must be both accessible and usable, with those excelling in these aspects often perceived as more attractive. Traditional surveys for evaluating perceived park accessibility, usability, and attractiveness are expensive and time-consuming, prompting the adoption of social media data as a viable alternative. This study fine-tuned the Chinese-RoBERTa-wwm-ext model on a specially curated dataset to measure perceived accessibility, usability, and attractiveness across 270 parks in Beijing and Guangzhou through 153,872 online comments. We conducted statistical analyses to uncover temporal patterns and incorporate park perception scores into the 2SFCA method for spatial distribution analysis. Additionally, we utilized XGBoost, SHAP, and PDP to investigate the nonlinear driving mechanisms behind these perceptions. Key findings include: (1) Park visitation demonstrates a strong seasonal pattern, with central urban parks consistently outperforming suburban ones; (2) Central subdistricts might face reduced park services due to high population demands; (3) Accessibility is significantly influenced by ticket pricing and transportation availability, especially bus stations; (4) Usability is optimal at a moderate density of sports and fitness facilities (22 per km<sup>2</sup>) and proximity to residential areas; (5) Attractiveness benefits from closeness to the Central Business District and amenities such as toilets and restaurants, with a critical park size threshold of 9 km<sup>2</sup>. These public-oriented analyses identify areas for improvement and factors shaping public perceptions, providing valuable guidance for strategic decision-making and effective urban management.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106083"},"PeriodicalIF":10.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144900","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}
引用次数: 0
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Sustainable Cities and Society
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