Sustainable Cities and Society最新文献_第8页

Inequities in thermal comfort and urban blue-green spaces cooling: An explainable machine learning study across residents of different socioeconomic statuses in Hangzhou, China

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-05-03 DOI: 10.1016/j.scs.2025.106427

Yufei Liu, Guie Li

{"title":"Inequities in thermal comfort and urban blue-green spaces cooling: An explainable machine learning study across residents of different socioeconomic statuses in Hangzhou, China","authors":"Yufei Liu, Guie Li","doi":"10.1016/j.scs.2025.106427","DOIUrl":"10.1016/j.scs.2025.106427","url":null,"abstract":"<div><div>With the intensification of global warming, urban residents are increasingly facing severe heat stress. Urban blue-green spaces (UBGS) are effective natural solutions to mitigating heat exposure and adapting to environmental changes. However, the inequitable distribution of urban blue-green spaces across residents of different socioeconomic statuses (SES), mainly in terms of quantity, quality, and accessibility, has been rarely quantified from multiple perspectives. In response to this issue, we conducted the following study: (1) Using a Random Forest model to calculate the community-level Universal Thermal Climate Index (UTCI) to assess residents' thermal comfort, this study found that high-SES residents experienced better thermal comfort, laying the foundation for future research on the inequitable cooling effects of UBGS. (2) In addition, we used Multiscale Geographically Weighted Regression (MGWR) to calculate the cooling efficiency, capacity, and benefits of UBGS and used SHapley Additive exPlanation-XGBoost to investigate the nonlinear relationship between UBGS and UTCI across low, mid, and high housing price tiers, determining that high-SES communities experienced significantly stronger cooling effects. (3) Lastly, we employed the two-step floating catchment area (2SFCA) method to assess park accessibility, finding high levels of inequality in accessibility, with high-SES communities having better access to parks. In conclusion, our study highlights inequitable UBGS cooling services across residents of different SES, providing insights into urban environmental equity and sustainable planning.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"127 ","pages":"Article 106427"},"PeriodicalIF":10.5,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943517","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

Exploring urban building carbon sinks: A SHAP-driven machine learning approach 探索城市建筑碳汇：一种形状驱动的机器学习方法

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-05-03 DOI: 10.1016/j.scs.2025.106428

Aohui Wu , Zhitai Wang

{"title":"Exploring urban building carbon sinks: A SHAP-driven machine learning approach","authors":"Aohui Wu , Zhitai Wang","doi":"10.1016/j.scs.2025.106428","DOIUrl":"10.1016/j.scs.2025.106428","url":null,"abstract":"<div><div>Cement-based materials in urban buildings can absorb atmospheric carbon dioxide through carbonation, presenting substantial potential for urban carbon sequestration. Accurately estimating and interpreting the carbon sink capacity of urban buildings is essential for effective urban carbon management. In this study, we develop an interpretable machine learning framework that integrates a multilayer perceptron neural network with Shapley additive explanation methods and a causal forest model to quantify building carbon sinks in the central urban area of Guiyang, China. The results indicate that this region's total carbon sequestered by buildings is approximately 1.822 million metric tons. Residential buildings account for about 68.2 % of the total carbon sink among different building types. The Shapley additive explanations analysis identifies building volume, footprint area, and perimeter as the most influential predictive variables. However, the causal forest analysis further reveals that building height and slope have the most potent direct causal effects, highlighting key structural factors influencing carbon sequestration. The significant discrepancy between predictive importance and causal contribution underscores the need to incorporate causal reasoning into urban carbon management strategies. These findings provide a robust methodological foundation for accurately assessing building-related carbon sinks and offer critical insights for sustainable urban planning and carbon neutrality strategies.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106428"},"PeriodicalIF":10.5,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913053","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 Heat adaptation priority index (HAPI): A practical tool for urban heat risk assessment and mitigation priority 热适应优先指数（HAPI）：城市热风险评估和缓解优先级的实用工具

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-05-01 DOI: 10.1016/j.scs.2025.106420

Ahmed M.S. Mohammed

{"title":"The Heat adaptation priority index (HAPI): A practical tool for urban heat risk assessment and mitigation priority","authors":"Ahmed M.S. Mohammed","doi":"10.1016/j.scs.2025.106420","DOIUrl":"10.1016/j.scs.2025.106420","url":null,"abstract":"<div><div>Urban heat is a growing challenge due to climate change and rapid urbanisation, particularly in hot arid regions like Egypt. The Urban Heat Island (UHI) effect worsens this issue, making densely populated areas significantly warmer than rural ones. This study introduces the Heat Adaptation Priority Index (HAPI), a novel tool for assessing urban heat risk and guiding adaptation policies. HAPI categorises heat risk into seven priority levels to support mitigation planning. The study compares Assiut City, a historic urban center with dense populations and limited greenery, to New Assiut City, a planned city established in 2000 with climate-resilient features in mind. Using Landsat 8 imagery, Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) were analysed for 2013, 2018, and 2023, alongside Land Use Land Cover (LULC) classification. HAPI integrates LST, NDVI, and proximity to water bodies and agricultural lands retrieved from LULC classification to provide a comprehensive heat adaptation assessment. Results show that New Assiut City remains highly vulnerable to heat stress, with over 92 % of its area classified as a critical priority zone in 2023, highlighting the need for stronger mitigation measures. In contrast, Assiut City exhibits a more varied heat risk distribution, with critical zones ranging from 20.65 % to 28.01 %, while 18.87 % of the city experiences relatively low priority conditions. This study demonstrates HAPI's potential to inform urban policy and support heat adaptation strategies, contributing to sustainable and climate-resilient urban development.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106420"},"PeriodicalIF":10.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922854","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

A fuzzy-based optimization model for peak reduction in distribution networks through capacity bidding program 基于容量竞标方案的配电网减峰模糊优化模型

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-05-01 DOI: 10.1016/j.scs.2025.106403

Pouya Salyani , Kazem Zare , Mehdi Abapour

{"title":"A fuzzy-based optimization model for peak reduction in distribution networks through capacity bidding program","authors":"Pouya Salyani , Kazem Zare , Mehdi Abapour","doi":"10.1016/j.scs.2025.106403","DOIUrl":"10.1016/j.scs.2025.106403","url":null,"abstract":"<div><div>Capacity Bidding Program (CBP) that incorporates an incentive-based mechanism holds significant promise in helping Distribution Companies (DISCOs) to address the challenges posed by extreme peaks. The primary focus of this paper is the peak reduction scheme (PRS) in distribution networks. The responsibility of the Distribution System Operator (DSO) is to reduce the peak demand of its service area below the quota determined by the Transmission System Operator (TSO). The CBP is studied besides the scheduled load interruption, which determines the optimal assignment and level of shedding for the load points. In order to achieve this goal, a numerical optimization model is examined. This model is based on fuzzy sets and aims to meet the PRS in a cost-effective manner. Additionally, it determines the optimal event hours for the participants of the CBP. The implementation of fuzzy modeling enables the DSO to effectively mitigate the risks related to the load, renewable generation, and the delivered capacity ratio by the CBP customers. The examination of proposed PRS on two test and real networks indicated that the nominated capacities and expected delivered quantities are influential in managing the scheduled interruption and determining CBP event calls to reduce peak demand below the quota. With a peak reduction share ranging from 1.2 % to 3.8 %, CBP customers can be considered reliable resources for peak management. Additionally, the real network experiences a 1.8 % increase in the cost of implementing the PRS scheme, as the delivered capacity is reduced by 23.4 % from the DSO's perspective.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"127 ","pages":"Article 106403"},"PeriodicalIF":10.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072043","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

A framework for analyzing the spatiotemporal distribution of urban electric vehicle charging load: A case study of Shanghai 城市电动汽车充电负荷时空分布分析框架——以上海市为例

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-05-01 DOI: 10.1016/j.scs.2025.106392

Zeyu Liu, Wenhang Yin, Donghan Feng, Yun Zhou

{"title":"A framework for analyzing the spatiotemporal distribution of urban electric vehicle charging load: A case study of Shanghai","authors":"Zeyu Liu, Wenhang Yin, Donghan Feng, Yun Zhou","doi":"10.1016/j.scs.2025.106392","DOIUrl":"10.1016/j.scs.2025.106392","url":null,"abstract":"<div><div>Electric vehicles (EVs), as a critical component of sustainable cities, require a thorough understanding of the spatiotemporal distribution of charging demand. This paper proposes a spatiotemporal analysis framework for EV charging load. The proposed framework is based on a dynamic simplified road network model, driving behavior model, and energy replenishment model, and it analyzes the charging load patterns through large-scale Monte-Carlo simulations. The case study in Shanghai reveals the overall curve and spatiotemporal distribution of EV charging load. The results show that the charging load can account for 7.8 % of Shanghai's total grid load, forming a spatial pattern of concentration in the central urban area and radiation towards the suburbs. Charging infrastructure accessibility analysis indicates the necessity of more aggressive charging infrastructure construction for the central urban area west of the Huangpu River. These findings offer valuable insights for both real-time operations of power system and long-term planning of charging infrastructures. Furthermore, a projection for the 2035 long-term scenario discusses the future development trends of charging loads and corresponding strategies.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"127 ","pages":"Article 106392"},"PeriodicalIF":10.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936350","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

From single to multi-risk perspective: How heatwaves risk mitigation solutions can reduce terrorist risk in historic outdoor open areas 从单一风险到多重风险的角度：热浪风险缓解解决方案如何减少历史悠久的户外开放区域的恐怖主义风险

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-05-01 DOI: 10.1016/j.scs.2025.106412

Gabriele Bernardini , Gessica Sparvoli , Elena Cantatore , Silvana Bruno , Fabio Fatiguso , Ilaria Isacco , Graziano Salvalai , Enrico Quagliarini

{"title":"From single to multi-risk perspective: How heatwaves risk mitigation solutions can reduce terrorist risk in historic outdoor open areas","authors":"Gabriele Bernardini , Gessica Sparvoli , Elena Cantatore , Silvana Bruno , Fabio Fatiguso , Ilaria Isacco , Graziano Salvalai , Enrico Quagliarini","doi":"10.1016/j.scs.2025.106412","DOIUrl":"10.1016/j.scs.2025.106412","url":null,"abstract":"<div><div>Historical outdoor Open Areas (hOA) are relevant “hot-spots” in urban built environments, attracting many users due to morphological and use-related features. Besides significant heritage vulnerability, hOAs can also be affected by critical levels of users’ exposure and vulnerability, exacerbating the effects of natural and anthropogenic risks. Mitigation solutions for one risk may impact others due to mutual interactions among different phenomena, necessitating multi-risk evaluations. This work focuses on how heatwaves-mitigation solutions (“slowly” impacting how users behave and gather in hOAs) can support risk-reduction for terrorist acts (“suddenly\" striking users and implying evacuation) emerging in heatwaves-affected scenarios and, thus, multi-risk mitigation. To this end, an innovative approach for hOAs multi-risk analysis methodology is applied to a relevant case study (Piazza dell’Odegitria, Bari, Italy), using previously validated behavioural-based simulators. Original and post-retrofit (involving sustainable/highly reversible/compatible strategies with historical and cultural relevance of the place) scenarios are compared through multi-risk metrics, by analysing effects on hosted users. Results suggest remarkable and effective multi-risk reduction (>15 %) by combining, at least, cool pavement and barriers implemented with green elements. Moreover, the findings highlight the approach's capability to support policymakers in sustainably evaluating and comparing different scenarios for preliminary analyses of mitigation strategies.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"127 ","pages":"Article 106412"},"PeriodicalIF":10.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923047","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 Fundamental Issues and Development Trends of AI-Driven Transformations in Urban Transit and Urban Space 城市交通与城市空间人工智能转型的基本问题与发展趋势

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-05-01 DOI: 10.1016/j.scs.2025.106422

Haishan Xia , Renwei Liu , Lu Li , Yilan Zhang

引用次数: 0

50 Shades of Green. How does residential development affect urban green cover in the short and medium term? 《五十度绿》住宅发展在中短期内如何影响城市绿化？

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-04-30 DOI: 10.1016/j.scs.2025.106419

Émilie Béland, Younès Bouakline, Jean Dubé, Cédrik McKenzie, Liam Verville

{"title":"50 Shades of Green. How does residential development affect urban green cover in the short and medium term?","authors":"Émilie Béland, Younès Bouakline, Jean Dubé, Cédrik McKenzie, Liam Verville","doi":"10.1016/j.scs.2025.106419","DOIUrl":"10.1016/j.scs.2025.106419","url":null,"abstract":"<div><div>Rapid urbanization represents a major challenge for the preservation of urban canopy and green spaces in many cities. With urban growth, trees fall victim to new residential developments, significantly reducing short-term green cover. In the medium and long term, homeowners can influence the presence of tree cover by landscaping yards or planting trees, but is it enough to invert the trend? This is the question the paper aims to answer by tracking continuous information on green cover over a 30-year period. The analysis uses an econometric causal identification strategy with an application based on a medium size Canadian metropolitan area (Quebec City). The results suggest that the short-term reduction in green cover is statistically irreversible. Despite the efforts of homeowners to ‘green up’ their parcels, individual actions are insufficient to significantly increase the green cover over the medium term. Moreover, the reduction in green cover appears to be more pronounced in suburban areas, as compared to urban areas.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106419"},"PeriodicalIF":10.5,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918047","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

Spatiotemporal impacts of purpose-specific human mobility on air pollution: Evidence from taxi trajectories and interpretable machine learning 特定目的的人类流动性对空气污染的时空影响：来自出租车轨迹和可解释机器学习的证据

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-04-29 DOI: 10.1016/j.scs.2025.106411

Wenrui XU , Xinyue GU

{"title":"Spatiotemporal impacts of purpose-specific human mobility on air pollution: Evidence from taxi trajectories and interpretable machine learning","authors":"Wenrui XU , Xinyue GU","doi":"10.1016/j.scs.2025.106411","DOIUrl":"10.1016/j.scs.2025.106411","url":null,"abstract":"<div><div>Human mobility exerts significant influences on urban air pollution. Regrettably, most existing studies treated mobility as a homogeneous entity, neglecting that its effects may vary by travel purposes due to distinct spatiotemporal patterns. To address this gap, this study utilizes a trip purpose inference algorithm to classify mobility based on Beijing’s three-month taxi trajectory data and examines its impact on air pollution using interpretable XGBoost-SHAP models. The correlational analysis indicates the substantial contribution of wind, temperature, and precipitation to air pollution. Human mobility’s contribution is less significant than the abovementioned natural environments but greater than built environments, such as building density and height. In the long term, the negative correlation between work- and home-purpose mobility and pollution challenges the assumption that more mobility always increases pollution. Based on the case study in Beijing, this research eventually proposed possible practical implications and suggestions for sustainable urban planning and management, including promoting mixed-use development and work-residence integration, creating urban wind corridors and open green spaces, and adopting low-emission transportation while avoiding blanket traffic restrictions. This study uses interpretable machine learning models to clarify complex variable relationships, while future research could explore causality to better understand the underlying mechanisms.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106411"},"PeriodicalIF":10.5,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922853","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

A multi-source data-driven innovative evaluation approach for assessing low-carbon city performance 低碳城市绩效评估的多源数据驱动创新评估方法

IF 10.5 1区工程技术

Sustainable Cities and Society Pub Date : 2025-04-29 DOI: 10.1016/j.scs.2025.106416

Xiaoyun Du , Zhijie Li , Yingna Gao , Ying Che

{"title":"A multi-source data-driven innovative evaluation approach for assessing low-carbon city performance","authors":"Xiaoyun Du , Zhijie Li , Yingna Gao , Ying Che","doi":"10.1016/j.scs.2025.106416","DOIUrl":"10.1016/j.scs.2025.106416","url":null,"abstract":"<div><div>Practicing Low-carbon city (LCC) is an important step for achieving urban sustainable development goal, and a thorough and accurate evaluation of LCC performance can provide reference for improvement. As big data technology developed, multi-source data (such as POI and remote sensing data) became widely used in evaluation studies. However, few studies have used multi-data sources to evaluate LCC performance from a holistic perspective. This study innovatively proposed a Multi-Source Data-Driven (MSDD) model for evaluating LCC performance, using data from 38 districts in Chongqing during 2012 to 2022 as a case study. The results show that: 1) The MSDD evaluation model can effectively integrate multi-source data to evaluate LCC performance from county level. 2) LCC performance in the 38 districts of Chongqing has gradually increased, presenting a significant spatial difference. 3) The spatial association network in Chongqing increased apparent, and exchanges in different regions became more frequent. Theoretically, this study broadens the application of multi-source data to the area of LCC, which can draw a holistic picture of LCC performance from the county level. Practically, the findings can provide city managers with the tools to identify LCC issues and develop effective strategies for carbon reduction.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106416"},"PeriodicalIF":10.5,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913052","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