Sustainable Cities and Society最新文献

{"title":"Understanding the role of decentralised workspaces and hybrid working in alleviating city centre pressure and promoting urban sustainability","authors":"Hamza Zubair ,&nbsp;Susilawati Susilawati ,&nbsp;Amin Talei ,&nbsp;Ziyuan Pu","doi":"10.1016/j.scs.2025.106871","DOIUrl":"10.1016/j.scs.2025.106871","url":null,"abstract":"<div><div>Research on hybrid working and travel behaviour has shown inconclusive findings regarding its impact on the transport system. Studies have explored the association between hybrid work and mixed land use. Nevertheless, the spatial dynamics between residential and workplace locations, land use preferences, and the spatial needs of hybrid workers, such as the optimal location for coworking spaces (CWSs), remain under-investigated. Additionally, the potential to reduce vehicle miles travelled (VMT) and congestion through the spatial redistribution of hybrid workers from the city centre to peripheral zones remains unexplored. Therefore, this study investigates the impact of various working arrangements on commuting patterns, VMT, and spatial demand for decentralised workspaces across different locations. It also examines work and non-work trips across various geographic contexts and proposes policy strategies to maximise the benefits of hybrid working.</div><div>K-means clustering and a multinomial regression model are used to analyse data collected from Greater Kuala Lumpur, Malaysia, from 10 June to 20 July 2023. The results reveal that hybrid workers might reduce VMT, but their effectiveness depends on residential location, commuting patterns, and worker profiles. Non-work travel is significantly higher among semi-urban hybrid workers in Cluster 2 and CBD-based on-site workers in Cluster 1. Promoting hybrid work and decentralised CWSs in semi-urban areas may reduce commuter flows to the city centre, lower VMT, and support a more diverse workforce. The findings highlight the need for context-specific hybrid work and CWS strategies, offering valuable insights for policymakers and planners to support sustainable urban mobility.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106871"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269223","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}

{"title":"Zoning management of urban informal vendor spaces using mobile signaling and machine learning: The case of Wuhan","authors":"Heng Zhou ,&nbsp;Kui Yang ,&nbsp;Jingnan Huang ,&nbsp;Jun Huang ,&nbsp;Yixuan Gao ,&nbsp;Jinting Zhang ,&nbsp;Yong Chen ,&nbsp;Mengya Yu","doi":"10.1016/j.scs.2025.106858","DOIUrl":"10.1016/j.scs.2025.106858","url":null,"abstract":"<div><div>The vendor economy is an important component of the urban informal economy and serves as a valuable \"lubricant\" to enhance social inclusivity and stimulate socio-economic activity. However, urban vendor spaces have several negative effects, such as encroaching on public spaces, affecting the city's image, causing traffic congestion, contributing to environmental pollution, and triggering safety issues. Studying the distribution characteristics and formation mechanisms of urban vendor spaces can provide support for the formulation of governance policies related to these areas. Existing research is often limited by data and methods, predominantly relying on case studies, with a lack of comprehensive urban-level investigations. This limitation increases the likelihood of failure in spatial governance policies. This paper utilizes mobile signaling data and constructs a time-space-population screening method to identify vendor spaces across the entire urban area. It employs XGBoost and SHAP to analyze the influencing mechanisms of vendor spaces, and ultimately conducts a clustering analysis based on the SHAP values of various factors to identify sensitivity zones for vendor spaces, thereby proposing site selection and governance recommendations for vendors. The study finds that: (1) In the main urban area of Wuhan, informal street vendor spaces have formed two primary aggregation zones and four secondary aggregation zones, primarily linked to large communities, schools, sports centers, commercial districts, and hospitals. (2) Among the factors affecting vendor aggregation, consumer demand-related elements have the highest average importance, followed by facility density-related elements, and lastly traffic environment-related elements. (3) In high-attraction areas for informal street vendor spaces, the mean RFD (Recreational facilities density) is the highest, while areas along rivers and lakes generally do not attract vendors easily. (4) We have identified some previously unrecognized distributions of vendors, such as the transitional zones in Hongshan District and Jiangxia District, which represent potential development areas for vendor space management. These research findings provide valuable references for vendor space governance in large cities.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106858"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223214","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}

{"title":"Estimating the vegetable yield and carbon reduction benefits of urban agriculture in Fuzhou based on planting intensity","authors":"Qunyue Liu ,&nbsp;Zhiqian Lin ,&nbsp;Taoyu Chen ,&nbsp;Ni Zhang ,&nbsp;Zubin Ye ,&nbsp;Yourui Guo ,&nbsp;Yaling Gao ,&nbsp;Yuanping Shen ,&nbsp;Weicong Fu ,&nbsp;Yuanjing Wu","doi":"10.1016/j.scs.2025.106860","DOIUrl":"10.1016/j.scs.2025.106860","url":null,"abstract":"<div><div>Urban agriculture (UA) can enhance food system resilience while reducing carbon emissions linked to long-distance food transport. Yet assessing its production potential and mitigation benefits across diverse planting scenarios remains challenging. This study develops an integrated framework that combines GIS-based land suitability analysis, multi-criteria decision making (MCDM), and the Denitrification-Decomposition (DNDC) model. Using Fuzhou, China as a case study, the framework identifies fragmented yet suitable spaces for UA and evaluates crop-specific trade-offs under intensive, semi-intensive, and extensive planting scenarios. The results reveal that suitable land within the urban core is scarce, with only 41.32 hm² (0.24%) classified as highly suitable, 139.82 hm² (0.81%) as moderately suitable, and 1509.74 hm² (8.7%) as slightly suitable. Scenario simulations show strong gradients in mitigation outcomes. Local vegetable cultivation could reduce CO₂ emissions by 586.14 t under intensive planting, 2569.46 t under semi-intensive planting, and 23,985 t under extensive planting each year. Lettuce provides the largest transport-related reductions, tomato combines strong sequestration potential with higher production emissions, and potato contributes modestly but supports dietary diversity. The study highlights the value of integrating crop growth, transport avoidance, and production emissions in a multi-scenario framework. The findings provide policy-relevant insights for scaling UA, including the promotion of semi-intensive strategies, targeted crop allocation, and supportive measures such as rooftop utilization rules, carbon-credit incentives, and electrified logistics. More broadly, the framework offers transferable tools for cities seeking to align food security with carbon neutrality goals.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106860"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223218","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}

{"title":"Public spaces for future cities: Mapping urban resilience dimensions in place-based solutions","authors":"Mehmet Ronael,&nbsp;Gülden Demet Oruç Ertekin","doi":"10.1016/j.scs.2025.106870","DOIUrl":"10.1016/j.scs.2025.106870","url":null,"abstract":"<div><div>As cities confront mounting challenges, rethinking public space as a critical infrastructure for urban resilience has become urgent. This study examines to what extent place-based solutions, developed in response to future-oriented visions and urban challenges, contribute to the resilience of public space across multiple dimensions. Grounded in a twelve-dimensional urban resilience framework, the research draws upon an analysis of academic studies and integrates expert evaluations to assess the strategic value of proposed interventions. The study follows a multi-step process, beginning with the identification of key challenges and conceptual visions, and proceeding to the evaluation of place-based solutions in terms of their alignment with resilience dimensions. It focuses on three thematic orientations in which public space is envisioned as a hub for well-being, a platform for inclusivity, and an instrument for climate adaptation. Findings reveal an imbalance across resilience dimensions. Diversity, Inclusion, Adaptability, and Flexibility are consistently emphasized, particularly in well-being and equity-related interventions, while Redundancy, Independence, and Resources are underrepresented, revealing gaps in operational resilience and long-term planning. Expert rankings also suggest that climate-oriented strategies are undervalued despite their relevance amid environmental disruption. These results highlight the dominance of socially grounded and human-centered approaches in current visions of future public space, while underscoring the need to strengthen systemic and infrastructural capacities. By combining thematic synthesis with expert validation, the study presents a framework for evaluating the resilience potential of place-based interventions and outlines avenues for future interdisciplinary research and policy innovation toward sustainable and resilient urban futures.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106870"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269950","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}

{"title":"Spatiotemporal decoupling of land surface temperature driving mechanisms using ensemble learning","authors":"Ai Wang ,&nbsp;Daofeng Liu ,&nbsp;Zijing Li ,&nbsp;Shaoting Liu ,&nbsp;Yunfei Nie ,&nbsp;Qiang Zhang","doi":"10.1016/j.scs.2025.106868","DOIUrl":"10.1016/j.scs.2025.106868","url":null,"abstract":"<div><div>As urbanization accelerates and the impacts of climate change become increasingly evident, understanding the nonlinear response mechanisms of land surface temperature (LST) in urban environments, along with its spatiotemporal non-stationarity, has become a significant focus in urban climatology. Using Hefei City as a case study, this research integrates multisource remote sensing data from 2002, 2013, and 2022 with a Geographically and Temporally Weighted Random Forest and SHAP ensemble framework (GTWRF-SHAP) to systematically identify the multidimensional driving mechanisms of LST across different stages of urban development. The results show that the LST distribution in Hefei has evolved from a “single-core concentration” to a “multi-core dispersion” pattern. High-temperature areas have expanded from the central urban area to emerging districts, such as the Economic and Technological Development Zone and the High-Tech Zone, while low-temperature areas remain concentrated around ecological nodes like reservoirs and forest parks, exhibiting a spatial evolution characterized by “heat island expansion and cold source retention.” With ongoing urbanization, the primary drivers of LST have significantly shifted from being predominantly natural factors to a synergy of natural, built environment, and socio-economic factors. Nonetheless, natural factors continue to play a crucial role in the cooling effects at local ecological nodes. The study further reveals significant nonlinear effects and spatiotemporal heterogeneity in key driving factors, particularly the threshold effects of factors such as vegetation cover, building height, and floor area ratio. Spatially, the cooling effect of natural factors has contracted toward the urban periphery, while the warming effect of the built environment has concentrated in the core areas, aligning closely with the city’s functional zoning and development stages. This research enhances the understanding of the driving mechanisms of LST under urbanization and provides essential scientific evidence for climate-adaptive urban planning.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106868"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269951","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}

{"title":"Causal network of high-quality development and urban resilience in Chinese cities based on transfer entropy: Structure and determinants","authors":"Yunsong Yang ,&nbsp;Tian Jing ,&nbsp;Huihui Wang ,&nbsp;Yuhao Zhong ,&nbsp;Weijun Yu ,&nbsp;Hui Zhou","doi":"10.1016/j.scs.2025.106875","DOIUrl":"10.1016/j.scs.2025.106875","url":null,"abstract":"<div><div>As the core engines of China’s economy, cities have driven four decades of rapid global growth. Yet their expansion under the traditional model has intensified risks such as environmental degradation, resource shortages, and socioeconomic imbalances. The shift to high-quality development (HQ) prioritizes innovation, but cities now face dual pressures—internal structural vulnerabilities and external shocks such as trade frictions and climate crises—necessitating an urban resilience (UR) framework. However, by neglecting cities’ interconnectedness and the complexity of cross-regional networks, current HQ strategies often operate in silos, which address resilience and development in isolation, fail to capture inter-city causal relationships, leading to fragmented policies and missed opportunities for integrated development management. This study addresses this gap by developing a comprehensive framework to map causal influence networks across 283 Chinese cities. It integrates multi-dimensional evaluations of UR and HQ with transfer entropy—a nonparametric, information-theoretic technique—to identify bidirectional causal information flows. By combining social network analysis with an exponential random graph model, this research illuminates the structural characteristics and determinants of UR and HQ networks, offering insights into urban influence patterns under uncertainty. Key findings highlight that high concentrations of UR and HQ emerged in eastern coastal agglomerations. All networks exhibited cross-regional influences, with HQ interactions occurring predominantly in adjacent areas. The UR network demonstrated sensitivity to extreme events, while the HQ network was more responsive to routine events. Network analysis further revealed weak agglomeration patterns and key node cities driving causal influence linkages. Economic resilience and social resilience influenced the formation of the urban causal networks. This study unravels the spatial patterns and determinants of UR and HQ networks, providing empirical support for policies that enhance inter-city influence, bridge regional divides, and foster resilient high-quality growth. The research contributes to global sustainability agendas by offering a scalable framework for integrating UR and development planning.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106875"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269954","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}

{"title":"Strategic planning of charging infrastructure for shared electric vehicles: A multi-phase stochastic approach using reinforcement learning","authors":"Qiming Ye ,&nbsp;Prateek Bansal ,&nbsp;Bryan T. Adey","doi":"10.1016/j.scs.2025.106850","DOIUrl":"10.1016/j.scs.2025.106850","url":null,"abstract":"<div><div>The rapid electrification of ride-hailing mobility requires that fast-charging infrastructure be ready to support the dynamic charging needs of shared electric vehicle (SEV) fleets. Deploying city-wide fast-charging stations requires determining the timing, locations, and number of chargers at each station over multiple planning phases, while managing stochastic charging demand, induced demand from enhanced services, and constraints like grid capacity. In contrast to conventional deterministic and myopic methods that optimise charging stations’ configurations based on static demand and immediate benefits, this study formulates the problem as a stochastic sequential decision problem and applies reinforcement learning (RL) to approximate the optimal deployment plan considering long-term benefits and uncertainties. An agent-based model representing an AI gym environment is developed to train the RL model, simulating SEV interactions with charging stations to capture stochastic charging demand across space and time. RL maximises the expected charging service efficiency with the minimal number of fast chargers over the planning horizon. The model reduces the total number of chargers by 30.5% compared to the myopic benchmark, while achieving a 10.9% higher charging service efficiency. This multi-phase fast charger planning approach offers engineers and planners a novel tool for efficient long-term infrastructure allocation and policy development under stochastic charging demand.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106850"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223066","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}

{"title":"Towards greening smart cities: Navigating net zero carbon in construction by 2050 through sustainable practices, innovation climate, and management support","authors":"Muhammad Javid Nawaz ,&nbsp;Aymen Sajjad ,&nbsp;Abdul Haseeb Tahir ,&nbsp;Muhammad Adnan ,&nbsp;Muhammad Umer ,&nbsp;Huaming Song","doi":"10.1016/j.scs.2025.106878","DOIUrl":"10.1016/j.scs.2025.106878","url":null,"abstract":"<div><div>The construction sector faces increasing pressure to adopt sustainable practices to promote sustainable cities and contribute to the global environmental agenda. However, a research gap exists in understanding how green innovation adoption (GIA) and green supply chain management (GSCM) influence sustainable project success (SPS). This study aims to address this gap by examining the impact of sustainable practices on SPS, focusing on innovation climate (IC) and top and middle management support (TMMC). A quantitative cross-sectional survey of 619 construction professionals in Pakistan was analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings reveal that GIA and GSCM significantly influence SPS, with R² = 0.74, indicating that 74 % of the variance in SPS is explained by the model. The f² values show a large effect for GIA (f² = 0.41) and GSCM (f² = 0.37) on SPS, highlighting the strength of these relationships. Further, IC mediates these relationships, with indirect large effects for GIA (f² = 0.44) and GSCM (f² = 0.39) on SPS. TMMS moderates these relationships, with moderation effect sizes of f² = 0.23 for GSCM and f² = 0.19 for GIA, thereby enhancing SPS. This study's originality lies in emphasizing the critical role of TMMS through policy frameworks in promoting sustainable practices and an innovation climate, contributing to SPS. Based on these findings, construction firms, policy makers, and sustainability practitioners are encouraged to prioritize the integration of GIA and GSCM, align with industry standards, and foster TMMS through strategic frameworks to enhance SPS and foster environmentally resilient cities.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106878"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269948","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}

{"title":"Cities towards zero emissions: a reality check on the assessment of co-benefits and trade-offs","authors":"G. Ulpiani ,&nbsp;N. Vetters ,&nbsp;C. Thiel ,&nbsp;P. Florio","doi":"10.1016/j.scs.2025.106835","DOIUrl":"10.1016/j.scs.2025.106835","url":null,"abstract":"<div><div>Urban climate change mitigation is an opportunity for cities to achieve a multipurpose agenda if they leverage co-benefits and trade-offs of greenhouse gas reduction. This study examines the approach of 353 cities committed to climate neutrality by 2030 within a common European framework - the Climate-Neutral and Smart Cities Mission - representing diverse geographical, economic, and demographic contexts. The analysis builds on a comprehensive questionnaire and uses a combination of statistical analyses (rankings, answer combinations, classifications) and content analysis. Less than half of the cities (171) assess co-impacts of actions to reduce emissions. Their assessment commonly covers environmental aspects (notably those related to resilience and green space), followed by social aspects, while health-related and economic dimensions receive less attention, on average. Larger cities and those with higher GDP per capita are more likely to conduct comprehensive assessments, indicating disparities in resources and institutional capacity. Almost 90 % of the cities assessing specific social impacts report implementing related measures, concentrating on energy efficiency, transport accessibility, and support for vulnerable populations. However, strategies remain generic and untargeted to specific vulnerabilities. Overall, the analysis reveals a need for integrated policy development, capacity-building, strategic partnerships, effective citizen engagement, robust monitoring setups, and dedicated communication strategies to fully harness the holistic and multifaceted potential of climate action.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106835"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223065","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}

{"title":"Assessing walkability with deep CNNs by integrating objective and subjective urban qualities: The case of ‘Cittaslow’ neighborhoods","authors":"Sena Kaynarkaya ,&nbsp;Aslı Çekmiş ,&nbsp;İsmail Çetin ,&nbsp;Yusuf Hüseyin Şahin ,&nbsp;Gözde Ünal","doi":"10.1016/j.scs.2025.106863","DOIUrl":"10.1016/j.scs.2025.106863","url":null,"abstract":"<div><div>Walkability, shaped by features of built environment, contributes to healthier communities and more sustainable urban mobility. Well-designed streetscapes encourage pedestrian activity, making individuals’ perceptions of safety, accessibility, and aesthetics central to understanding walkable environments. Existing studies typically evaluate walkability through either objective spatial data or perceptual assessments based on human experiences. However, comprehensive approaches that combines both perspectives remain limited. This study presents an AI-driven framework for evaluating urban walkability by integrating objective built environment features with subjective perceptions in the context of Cittaslow-certified neighborhoods. The research employs the Segment Anything Model 2(SAM2) for high-resolution and class-agnostic segmentation of street-level imagery. It is created: “Urban Walkability Dataset” (UWD) which contains 5,440 labeled images by experts with a question set generated based on the key parameters affecting walkability. A neural network pipeline is designed to understand the underlying process. By bridging perceptual insights and objective metrics, this research contributes a replicable methodology for walkability assessment that supports human-centered urban design strategies, particularly in slow-city contexts prioritizing sustainability and quality of life.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106863"},"PeriodicalIF":12.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269222","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}