Habitat International最新文献

{"title":"Revisiting the impact of environmental factors on outdoor public space use: A machine learning analysis of social media data","authors":"Wenqi Qian ,&nbsp;Fujie Rao ,&nbsp;Xiaoyu Li ,&nbsp;Mengze Xu ,&nbsp;Zijun Lin ,&nbsp;Jiayang Song ,&nbsp;Dayi Lai","doi":"10.1016/j.habitatint.2026.103777","DOIUrl":"10.1016/j.habitatint.2026.103777","url":null,"abstract":"<div><div>Urban outdoor public spaces have become increasingly vital for physical and mental well-being in high-density cities under mounting environmental stress. Since the Covid-19 pandemic, their use has grown more frequent and widespread. However, intensifying climate change and persistent air pollution continue to pose significant health risks, underscoring the need for new approaches to monitor and assess environmental impacts on outdoor public space visitation. Drawing on environment-behavior theory, this study systematically examines how environmental factors and social rhythms jointly influence the use of different types of public spaces, with a focus on nonlinear and threshold effects. Using Shanghai as a case study, city-scale social media check-in data for 2024 were integrated with official environmental monitoring data, and machine learning (CatBoost) with SHAP was applied to quantify the relative importance, thresholds, and interactions of these factors on visitation patterns. The results show that there is a significant nonlinear relationship between the heat index, air temperature, and relative humidity and the outdoor public space visitation. Among thermal indicators, the heat index outperforms single variables such as air temperature or relative humidity in capturing behavioral responses: outdoor visitation declines markedly once the heat index exceeds 24 °C. Mean air temperature thresholds associated with minimum visitation differ substantially across space types, occurring at approximately 26.5 °C in parks, 22.3 °C in squares, and 31.1 °C in waterfront spaces. In addition, relative humidity above 70% consistently suppresses visitation across all space types. In contrast, air quality indicators exhibit relatively limited direct effects on visitation, suggesting that air pollution risks are often underestimated in everyday activity decisions. Interaction effects further indicate that outdoor visitation increases under thermally comfortable conditions even when air pollution levels are elevated, reflecting a behavioral preference for immediately perceptible thermal comfort over less salient pollution risks. Meanwhile, holidays show clear context-dependent effects: they suppress outdoor activity under extreme heat conditions, yet amplify population exposure during high pollution episodes by intensifying outdoor activity. These findings reveal complex environment–behavior mechanisms in outdoor public space use and provide actionable insights for urban planners to implement heat index-based monitoring, differentiated environmental management, and holiday-specific exposure interventions to enhance safety and comfort.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"171 ","pages":"Article 103777"},"PeriodicalIF":7.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rethinking the relationship between ecological conservation and urban land development: a spatial–machine learning integration approach","authors":"Ning Xu ,&nbsp;Pu Wang","doi":"10.1016/j.habitatint.2026.103755","DOIUrl":"10.1016/j.habitatint.2026.103755","url":null,"abstract":"<div><div>Rapid urbanization has increasingly constrained ecological potential within intensively developed urban areas. Conflicts between ecosystem conservation and land development are recognized as major obstacles to optimizing urban ecological conditions, significantly impacting urban ecosystem performance. To address these challenges, this study advances beyond single-perspective ecological analyses by explicitly examining the coupling between ecological protection and urban development. Taking Nanjing as a case study, it analyzes the correlations between ecosystem protection assessment and urban development indicators at the plot level. By integrating spatial correlation analysis and interpretable machine learning, the study identifies four relationship types between ecological potential capacity (EPC) and land development intensity (LDI) and reveals their heterogeneous spatial patterns across the urban landscape. The findings reveal multiple forms of synergies and trade-offs between EPC and LDI, including plots characterized by both high ecological potential and high land development intensity. Further analysis indicates that these relationship types are associated with distinct combinations of artificial and natural environmental features. In highly developed areas, EPC–LDI relationships are primarily distinguished by built-environment attributes, whereas in less developed contexts, natural environmental conditions and changes play a more prominent role. These findings highlight the context-dependent and nonlinear nature of ecological–development coupling within built-up areas. By linking EPC–LDI relationship types, spatial patterns, and environmental contexts, this study offers a novel, integrative perspective and a fine-scale quantitative framework for interpreting ecological–development interactions and supporting differentiated planning strategies, thereby promoting more resilient and livable urban development.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"171 ","pages":"Article 103755"},"PeriodicalIF":7.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147388065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rethinking the role of social capital in collective action: Facilitating or impeding inclusive rural transformation?","authors":"Jingyu Zhang ,&nbsp;Anne Gravsholt Busck ,&nbsp;Søren Bech Pilgaard Kristensen","doi":"10.1016/j.habitatint.2026.103734","DOIUrl":"10.1016/j.habitatint.2026.103734","url":null,"abstract":"<div><div>Collective action is increasingly regarded as a promising approach for revitalizing declining rural communities in China, as it enables communities to reshape identities, mobilize local resources, and reconstruct social linkages. Social capital is often identified as a key driver of this process, yet existing scholarship largely emphasizes its positive role while overlooking how unequal access can produce divergent outcomes. This study examines how social capital contributes to collective action in declining rural communities and shapes rural transformation. Drawing on a case study of Guangming Village in southwest China, where traditional farming is being transformed into organic beekeeping and agri-leisure tourism, this study analyzes how asymmetrical social capital influences outcomes of collective identity and collective mobilization. The findings reveal that while well-connected farmers can adopt new agrarian values, access resources, and gain competitive advantages in collective action, less connected farmers may face barriers to participation and risk marginalization. This study argues that social capital should not be understood solely as a positive force for cooperation, but as selective allocation in ways that privilege stakeholders most likely to pay off in collective action. Furthermore, this study also highlights how rural transformation is shaped in reconstructing connections and practices across social networks. This enriches the understanding of the complex role of social capital by reflecting its potential to reproduce inequality in collective action and hinder inclusive rural transformation.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"170 ","pages":"Article 103734"},"PeriodicalIF":7.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the quality of rural human settlements and the perception of farm households—A case study of traditional agricultural areas in China","authors":"Yu Ma ,&nbsp;Dong Han ,&nbsp;Jiajun Qiao ,&nbsp;Jichao Ma ,&nbsp;Yuling Ma ,&nbsp;Zhenglei Wang ,&nbsp;Pengyu Guo ,&nbsp;Xiangwen Hui ,&nbsp;Jiawei Xu","doi":"10.1016/j.habitatint.2026.103724","DOIUrl":"10.1016/j.habitatint.2026.103724","url":null,"abstract":"&lt;div&gt;&lt;div&gt;With the acceleration of urbanization in China, rural areas are facing challenges such as population loss, land abandonment and ecological degradation, and improving the quality of human settlements has become an important task in the strategy of rural revitalization. Taking traditional agricultural areas in Henan Province as a case study, this study constructs a bidirectional subjective-objective validation framework, combining top-down measurement of rural habitat quality index and bottom-up satisfaction survey of farmers, to explore the adaptation mechanism between objective indicators and subjective perceptions. The study selected four types of differentiated geomorphological units in Song County, Luoyang City, Jia County, Pingdingshan City, Luoshan County, Xinyang City, and Fengqiu County, Xinxiang City, to reveal the multi-scale characteristics of the quality of the human habitat and the response mechanism to the demand of the farm households through the hierarchical analysis method (AHP) and the fuzzy comprehensive evaluation method (FCE), and integrating the governmental work report, field research questionnaires, and data from the statistical yearbook. The results show that: (1) the quality of human environment shows significant gradient differences, Song County (0.6021) and Fengqiu County (0.5112) comprehensive index breaks through the median threshold. Regional differences in dimensions such as infrastructure and public services are significant. (2) The overall average value of farmers' satisfaction is 3.448 points, but there are significant differences among counties: Jia County (4.294) tops the list due to moderate public services and economic level, while Luoshan County (3.298) is at the bottom of the list due to the constraints of mountainous resources. The township-scale analysis further reveals a “core-edge” pattern of differentiation, with high-satisfaction areas mostly located in transportation hubs or industrial agglomerations (e.g., Nangan Town in Luoshan County), while low-satisfaction areas are geographically marginalized and caught in a “lack of inputs and loss of factors” dilemma. (3) Both subjective and objective evaluations exhibit the asymmetric phenomenon of “high targets versus low recognition”. This stems from regional development gradients and a shift in farmers' demands towards developmental needs, such as employment and cultural enrichment. The traditional evaluation system has failed to address these needs promptly. Applying CAS theory to a multi-scale analysis reveals that structural misalignment at county level, coordination among key actors at township level and micro-level interaction efficiency at village level are the key factors driving the divergence between subjective and objective evaluations. Meanwhile, the development gradient at the township level is a key factor, with the center townships enhancing satisfaction through the “infrastructure-public services-economic vitality” synergy, while ","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"170 ","pages":"Article 103724"},"PeriodicalIF":7.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial structure and its influencing factors of urban networks in underdeveloped Northwest China: From a new framework of flow space - regional development theory","authors":"Qianqian Guo ,&nbsp;Zhibin Zhang ,&nbsp;Xiaomin Ma ,&nbsp;Xuewei Zhao ,&nbsp;Chunjin Wen","doi":"10.1016/j.habitatint.2026.103736","DOIUrl":"10.1016/j.habitatint.2026.103736","url":null,"abstract":"<div><div>Urban network analysis provides critical insights into inter-city interactions and regional organization, yet existing applications of flow space theory often overlook equity and coordination in less developed regions. This study integrates flow space theory with regional development theory to establish a flow space–regional development framework and applies it to Northwest China. Economic, population, and information networks are constructed to examine spatial structures and driving mechanisms. Results show that (1) Network flows are highly uneven, with Shaanxi dominating economic and information networks, while Gansu plays a stronger role in population flows; (2)Large cities exhibit higher centrality, but population networks display weaker hierarchical differentiation than economic and information networks. Network patterns correspond to classic theories: economic networks reveal core–periphery structures consistent with growth pole theory, population networks reflect cumulative causation through administrative-constrained agglomeration, and information networks demonstrate flatter, more balanced linkages aligned with regional equilibrium theory. (3) Connectivity is primarily shaped by economic development, public services, and population distribution. The effects of these factors are further amplified through their interactions with industrial structure and social security, thereby intensifying disparities across networks. Overall, urban development in Northwest China remains uneven, underscoring the need for small and medium-sized cities to strengthen linkages with core cities to foster more balanced regional development.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"170 ","pages":"Article 103736"},"PeriodicalIF":7.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Co-benefits and trade-offs of urban resilience for sustainable development goals (SDGs)","authors":"Ayyoob Sharifi ,&nbsp;Saeideh Sobhaninia ,&nbsp;Saeed Esfandi ,&nbsp;Melika Amirzadeh ,&nbsp;Safiyeh Tayebi ,&nbsp;Ali Cheshmehzangi","doi":"10.1016/j.habitatint.2026.103735","DOIUrl":"10.1016/j.habitatint.2026.103735","url":null,"abstract":"<div><div>Despite extensive research on urban resilience, a gap remains in understanding the co-benefits and trade-offs between resilience-building efforts and the Sustainable Development Goals (SDGs). This systematic review aims to address this gap by analyzing the literature to identify how urban resilience initiatives can contribute to and/or detract from achieving SDGs. Results show that urban resilience and SDGs are closely linked, with advancements in one domain reinforcing progress in the other. Results show that existing research is mainly focused on resilience strategies that support SDGs related to environmental sustainability and climate resilience, such as SDG 11, SDG 13, and SDG 6. However, socio-economic and institutional SDGs, like SDG 1, SDG 2, and SDG 10, are underexplored. Trade-offs are not well examined, but they relate to equity and justice, such as the displacement of vulnerable populations and environmental degradation. Integrated approaches that balance co-benefits and trade-offs are critical to ensure inclusive and equitable urban development. Such integrated approaches can support efforts toward long-term sustainability. The review provides solutions to enhance resilience while facilitating the achievement of SDGs. Specifically, it emphasizes governance-related solutions such as community engagement, awareness raising, capacity building, and collaborative actions. Furthermore, Nature-based solutions (NbS) that focus on stormwater management, green/blue infrastructure development, and biodiversity conservation are emphasized for their pivotal role in enhancing urban resilience and contributing to SDGs. This review informs policy frameworks and provides strategies for creating resilient, inclusive, and sustainable urban environments, contributing to the ongoing discourse on resilient urbanism.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"170 ","pages":"Article 103735"},"PeriodicalIF":7.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digitalized rural operation: A new practice for China's rural revitalization","authors":"Wenjing Ji ,&nbsp;Dazhuan Ge ,&nbsp;Xiaoren Xu ,&nbsp;Pan Sun ,&nbsp;Jie Yang ,&nbsp;Shengsheng Gong","doi":"10.1016/j.habitatint.2026.103739","DOIUrl":"10.1016/j.habitatint.2026.103739","url":null,"abstract":"<div><div>Advancing rural operation is key to sustainable rural development, particularly in developing countries. Digital transformation offers a promising strategy for revitalizing rural areas, addressing challenges such as undiversified industries, fragmented governance, and unequal rights distribution. However, existing research lacks a comprehensive theoretical framework for digital rural operation. This paper fills this gap by developing a theoretical framework based on the triad of “industry-organization-rights” and examining how digitalization reshapes rural development. Through an empirical study in Xiangtang Village, Nanjing, we find that digitalization has successfully transformed the village from a traditional collective model to a digitally mature operational system. At the industrial level, e-commerce and digital intellectual property diversify rural business offerings and enhance their value. At the organizational level, digital platforms enhance governance efficiency by integrating multiple stakeholders. At the rights level, digital technologies clarify property rights and empower villagers in terms of resource allocation. This digital transformation drives a synergistic restructuring of the rural “industry-organization-rights” system, offering new solutions for rural development.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"170 ","pages":"Article 103739"},"PeriodicalIF":7.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A network framework for livable village construction: Regional disparities and strategic goal prioritization in China","authors":"Muzhe Pan ,&nbsp;Yaofu Huang ,&nbsp;Shan Li ,&nbsp;Zheng Li ,&nbsp;Xun Li","doi":"10.1016/j.habitatint.2026.103740","DOIUrl":"10.1016/j.habitatint.2026.103740","url":null,"abstract":"<div><div>Ensuring livable rural environments is a critical challenge in advancing sustainable development and reducing regional inequality, particularly in countries undergoing rapid urban–rural transformation. In China, despite large-scale investments in village construction, mismatched priorities and one-size-fits-all interventions have led to inefficiencies. Drawing on the science of human settlements and its systems-based view of rural development, we construct a goal system for livable village construction, based on survey data from 796 villages across 27 provincial-level administrative regions. Applying the product space methodology and network analysis, we construct a “Livable Village Construction Goals Space” (LVCGS) to capture interdependencies among goals and visualize development pathways. Our results reveal: (1) The LVCGS exhibits a bipolar structure, with rural housing centrally positioned and connecting other goal clusters. Household sewage treatment, rural road construction, and commercial service quality are the three most influential factors. (2) Regional disparities shaped by climatic and geographical factors, with warmer areas progressing more evenly, while colder areas lag in infrastructure and rural housing. (3) A novel prioritization framework combining goal influence and relatedness enables region-specific strategies and avoids inefficient investment. Overall, unlike traditional approaches that rely on weighted scoring of indicators, we apply network analysis to address the challenge of prioritizing rural livability goals under resource constraints. It offers practical insights for both national-level macro policy regulation and region-specific policy differentiation, especially in some developing countries with similar governance and challenges.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"170 ","pages":"Article 103740"},"PeriodicalIF":7.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the impact of human settlement on expanding domestic demand: Evidence from 276 prefecture-level cities in China","authors":"Zhenlong Hao ,&nbsp;Xiumei Ren ,&nbsp;Yuzhu Meng","doi":"10.1016/j.habitatint.2026.103731","DOIUrl":"10.1016/j.habitatint.2026.103731","url":null,"abstract":"<div><div>Improving human settlements serves as a significant engine for expanding domestic demand, effectively stimulating consumption, boosting investment, and injecting new momentum into economic growth<strong>.</strong> Based on a two-way fixed effects model and the Spatial Durbin Model, this paper systematically evaluates the impact of human settlements on expanding domestic demand and its spatial effects. Analyzing panel data from 276 Chinese prefecture-level and above cities (2011–2023), we find that a one-unit improvement in the human settlements significantly increases resident consumption by 5.683 %, social investment by 9.734 %, and government consumption by 1.816 %, indicating that upgrading the human settlements is an effective pathway for expanding domestic demand. Mechanism analysis reveals that the human settlements indirectly boosts domestic demand through population agglomeration and employment promotion, further verifying the existence of scale effects, agglomeration effects, and income effects. Heterogeneity analysis reveals that the positive effect of the human settlements on domestic demand is stronger in three types of cities: underdeveloped ones, those in early urbanization stages, and non-central cities. Spatial econometric results indicate that improvements in the local human settlements not only directly promote local domestic demand but also generate positive spatial spillovers to neighboring cities, while indirect effects even surpassing direct effects. Additionally, improvements in the living environment can promote an upgrade in domestic demand by influencing the structure and level of residents’ consumption. The policy implications of this paper are as follows: systematic development of the human settlements should be continuously advanced, strengthening its fundamental roles in expanding domestic demand; special attention should be paid to the mediating effects of population agglomeration and employment promotion to enhance residents' consumption capacity and the vitality of social investment; differentiated policies should be implemented to promote regionally coordinated development based on local conditions, fully unleashing the spatial spillover potential of human settlements.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"170 ","pages":"Article 103731"},"PeriodicalIF":7.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying amenity impact on housing equity: Analysis of cost-benefit dynamics of urban green and grey infrastructure in residential area regeneration","authors":"Hezhou Jiang ,&nbsp;Yonghua Li ,&nbsp;Zhongjie Lin ,&nbsp;Qiwei Ma ,&nbsp;Song Yao ,&nbsp;Qinchuan Ran ,&nbsp;Huarong Wang ,&nbsp;Anqi Ding","doi":"10.1016/j.habitatint.2026.103730","DOIUrl":"10.1016/j.habitatint.2026.103730","url":null,"abstract":"<div><div>In the context of the fundamental transformation of China's urbanization model and the aging population, the economic and affordable regeneration of existing urban neighborhood housing has become a necessary field to promote social sustainability and inclusiveness. Various factors, including location, green and grey infrastructures, public services, housing prices, and transaction volumes, influence the cost-benefit dynamics and outcomes of regeneration projects. This study utilized 118,181 housing transaction records and spatial distribution statistics of infrastructure from Hangzhou city from 2012 to 2023. Through rigorous spatial econometric and causal inference processes, it comprehensively assessed the specific cost-benefit characteristics and potential threats of the city's residential area regeneration. The findings indicate that the high willingness of homeowners to retain properties due to green spaces potentially increases the cost of renewal. In contrast, grey infrastructure fosters high demand and turnover, with areas surrounding administrative or medical facilities showing ideal potential for low-cost, high-benefit outcomes, making sustainable and affordable regeneration feasible. However, panel analysis reveals a prevalent short-term investment tendency among investors in the city, lacking long-term planning for housing, which could pose a threat to the government's sustainable regeneration plans. This study on cost-benefit dynamics offers new insights for the implementation of affordable neighborhood regeneration in urban areas of developing countries.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"170 ","pages":"Article 103730"},"PeriodicalIF":7.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}