Habitat International最新文献

{"title":"Does affordable housing supply exacerbate urban sprawl? Evidence from Chinese cities","authors":"Yue Li ,&nbsp;Zihan Xie ,&nbsp;Lu Niu","doi":"10.1016/j.habitatint.2025.103674","DOIUrl":"10.1016/j.habitatint.2025.103674","url":null,"abstract":"<div><div>Urban sprawl is a significant driving factor for the urban spatial disorder and social inequality. However, existing studies have rarely analysed its causes from the perspective of housing equity. This paper explores the impact of affordable housing supply on urban sprawl by integrating NPP-OLS nighttime light data, LandScan global population data, and panel data from 269 Chinese cities between 2011 and 2022, an empirical test is conducted. The results indicate that affordable housing supply significantly influences urban sprawl. The influence path analysis indicates that although affordable housing supply can mitigate urban sprawl by crowding out land allocated for commercial housing, spatial spillover effects associated with its location choices may directly exacerbate urban sprawl. Moreover, in the short term, affordable housing can moderate housing prices through demand substitution and thus mitigate urban sprawl. However, continued urbanization progress may reverse and intensify sprawl in the long run. Further analysis indicates that this effect exhibits significant variation across industrial structures, administrative level and population size. This study concludes that the affordable housing supply should break away from the path dependence of merely pursuing growth in construction indicators, and instead focus on aligning with the characteristics of urbanization stages. It also emphasizes optimizing the spatial layout of affordable housing to achieve the dual goals of housing equity and compact urban development.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"168 ","pages":"Article 103674"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145651876","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":"Environmental justice analysis of the spatial evolution in island rural tourism destinations: A case study from Pingtan Island, China","authors":"Jianying Wang ,&nbsp;Qi Sun ,&nbsp;Lilin Zou ,&nbsp;Yaqun Liu","doi":"10.1016/j.habitatint.2025.103695","DOIUrl":"10.1016/j.habitatint.2025.103695","url":null,"abstract":"<div><div>Exploring the characteristics of spatial evolution and alienation in island rural tourism destinations is a significant research topic in human geography. Based on the widely recognized “production-living-ecological” concept in the international community, this paper explores the spatial evolution process of island rural tourism destinations, conceptualizes the threefold dimensions of environmental justice in the spatial evolution of island rural tourism destinations and develops a corresponding indexes system. The results indicated that between 2006 and 2024, the production, living, and ecological spaces in Beigang underwent continuous transformation and integration. The number of single-function spaces gradually decreased, while the number of multifunctional productive spaces gradually increased. Due to the intervention of tourism development activities, various single-function spaces transformed into each other or evolved in an orderly manner into composite-function spaces. The spatial function integration was mainly characterized by the superposition of production-production spaces, the integration and expansion of living-production spaces, and the orderly evolution of ecological-production spaces. The spatial alienation in Beigang represents an ideological manifestation of unfair distribution of environmental benefits and environmental burden among different groups. It is a material manifestation of the gradual occupation and deprivation of resources, discourse, and rights essential for the survival and development needs of residents after the intervention of tourism. Therefore, the authorities have taken measures such as recognizing the status of vulnerable groups and renovating the settlement environment to mitigate environmental injustice.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"168 ","pages":"Article 103695"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790860","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":"Nonlinear transition under geographic embeddedness: Uncovering the changing spatial pattern and its underpinning dynamics of rural transformation at the village scale in China's developed region","authors":"Zhongyi Nie ,&nbsp;Chen Chen ,&nbsp;Ke Wang ,&nbsp;Zhen Wang","doi":"10.1016/j.habitatint.2025.103704","DOIUrl":"10.1016/j.habitatint.2025.103704","url":null,"abstract":"<div><div>China's spatiotemporally compressed urbanization has caused rural areas to dramatically transition from productivism to multifunctionality, in a series of short cycles, through unconventional factor agglomeration. This provides valuable empirical evidence for global rural transformation theories. Nevertheless, despite a substantial body of research, there is still insufficient identification of the functional qualitative changes that underlie rural transformation at the village scale, which substantially weakens the interpretability of transformation dynamics. Furthermore, previous studies have yet to thoroughly investigate the spatial effects of rural transformation and its underpinning dynamics. To bridge these gaps, this study examines 825 administrative villages in Huzhou City, Zhejiang Province, utilizing data from 2008, 2016, 2020, and 2023. Using a methodology that combines the Penalty for Bottleneck method and local bivariate spatial autocorrelation analysis, we construct a Rural Multifunctionality Index based on production-ecology-living functions, in order to systematically reveal the nonlinear characteristics, spatial effects, and geographically embedded mechanisms of rural transformation. The results demonstrate that the relationship between rural transformation and the multifunctionality index is not a straightforward linear one, but instead displays characteristics of a dynamic spiral ascent. Additionally, geographic conditions significantly influence the pattern of rural transformation: mountain villages, constrained by terrain and resources, face challenges in forming competitive industrial clusters, often leading to pseudo-optimization traps. On the other hand, villages situated in plains benefit from superior geographic conditions, enabling effective industrial chain synergies that drive sustained rural transformation. Lastly, the spatial dependence of rural transformation exhibits pronounced geographical heterogeneity. Villages located in low-altitude and low-slope areas are more likely to form cooperative–promotive spatial patterns that foster joint development within the region, whereas those in high-altitude and complex terrain areas tend to display siphoning–inhibitory patterns that suppress the transformation of neighboring villages. This study not only enriches the understanding of nonlinear dynamics and spatial heterogeneity in rural transformation at the village scale, but also provides new theoretical perspectives and policy implications for China and other Global South countries in addressing the complexities and challenges of rural transformation.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"168 ","pages":"Article 103704"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884157","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":"Assessing the coordination relationship between transportation services and population mobility in mega-urban agglomerations: A network deviation perspective","authors":"Shiqing You ,&nbsp;Zhen You ,&nbsp;Zhiming Feng ,&nbsp;Yanzhao Yang ,&nbsp;Hui Shi","doi":"10.1016/j.habitatint.2025.103680","DOIUrl":"10.1016/j.habitatint.2025.103680","url":null,"abstract":"<div><div>Transportation services and population mobility constitute a fundamental supply–demand system in society. Coordination assessments are essential for evaluating their balance to ensure that travel demand is met and resources are efficiently allocated. While extensive research has examined both the transportation service network (TSN) and the population mobility network (PMN), the coordination relationship between these two networks remains insufficiently understood, particularly in mega-urban agglomerations (MUAs) characterized by complex urban systems. To fill this knowledge gap, this study constructs the TSN and PMN of the Yangtze River Delta using large-scale flow data and evaluates their coordination from a network deviation perspective. Results show substantial deviations between the two networks in both flow intensity and structural characteristics. The PMN exhibits a more polarized intensity distribution than the TSN, along with a more pronounced polycentric structure and stronger radiation effects. Based on these deviations, intensity coordination and structural coordination are calculated, both exhibiting positive spatial autocorrelation, leading to the identification of four coordination patterns. Only 30.76 % of the cities lack adequate transportation services to meet intercity travel demand, while 61.54 % require structural optimization to improve service equity. To address the challenges associated with different coordination patterns, we propose targeted measures from both the population mobility and transportation service perspectives, including infrastructure development, vehicle scheduling, and mobility guidance. This study offers unique insights into the TSN-PMN coordination relationship from the perspective of network deviations, contributing to the improved resilience of transportation services in MUAs to better accommodate intercity human activities.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"168 ","pages":"Article 103680"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840645","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":"Beyond objective features: Integrating subjective perceptions to decipher urban vitality via multimodal machine learning","authors":"Yueyi Tan ,&nbsp;Jusheng Song ,&nbsp;Yunxi Bai ,&nbsp;Yan Li","doi":"10.1016/j.habitatint.2025.103676","DOIUrl":"10.1016/j.habitatint.2025.103676","url":null,"abstract":"<div><div>Urban vitality serves as a critical catalyst for sustainable and inclusive urban development. However, the complex nonlinear relationships between built environment characteristics and vitality patterns, particularly the combined effects of objective urban features and quantified perceptual metrics, remain insufficiently explored. This study proposes an integrated evaluation framework that combines objective variables with subjective variables, encompassing community attributes, urban function, urban form, location, accessibility, visual perceptions, and emotional perceptions. Leveraging multi-source urban data, we develop a three-stage analytical methodology: (1) Random Forest models integrated with Shapley Additive exPlanations capture nonlinear associations; (2) Partial Dependence Plots decouple interaction effects; (3) Interpretative Structural Modeling reveals hierarchical dependencies, with Bayesian Network validating probabilistic causal pathways. Key findings establish average effect dominance by urban form variables, greatest cumulative importance by urban function variables, and mechanistically significant though moderated effects through visual and emotional perception variables. The effectiveness of built environment variables often exhibits threshold and interaction effects, as revealed by the Partial Dependence Plots analysis. Interpretative Structural Modeling reveals a five-level hierarchy among urban vitality and 14 key independent variables, and Bayesian Network analysis highlights that vitality is mainly shaped by functional mixing, which is jointly driven by the diversity and spatial clustering of urban facilities and the floor area ratio. This research advances a data-driven framework for deciphering urban vitality complexity, providing actionable intelligence for designing resilient, human-centered cities. The methodology offers transferable applications for evidence-based urban planning across diverse geographical contexts.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"168 ","pages":"Article 103676"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737612","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":"Multiscale landscape ecological risk response to natural and social factors in China: Thresholds identification","authors":"Hualin Li ,&nbsp;Shouhong Zhang ,&nbsp;Yelong Zeng ,&nbsp;Zihan Xu ,&nbsp;Xiuchun Yang ,&nbsp;Ye Liu","doi":"10.1016/j.habitatint.2025.103691","DOIUrl":"10.1016/j.habitatint.2025.103691","url":null,"abstract":"<div><div>Given China's rapid urbanization and extensive ecological forestry projects, understanding trends in landscape ecological risk (LER) and its drivers is critical for territorial spatial planning and sustainable ecosystem management. However, current LER assessments have so far overlooked the impact and threshold effects of natural and social factors across multiple spatial scales. This study proposes a novel LER assessment method that integrates ecological resilience, revealing multiscale spatial-temporal changes in LER across China from 1990 to 2020. The relative importance, contributions, and threshold effects of drivers on LER at four scales were quantified using random forest models and restricted cubic spline regression. Results show that the proposed method effectively captures LER's spatial-temporal dynamics, highlighting high-risk zones in Northwest China and low-risk zones in Southeast China. From 1990 to 2020, LER in China exhibited an upward trend, with 46.43 % of areas showing significant increases at the grid scale. Our findings highlight pronounced scale dependence in LER assessment, emphasizing significant spatial heterogeneity and the need for selecting appropriate spatial units to ensure accurate evaluation. Precipitation and temperature primarily influence LER trends in Northwest China, whereas human activities are the primary drivers in Southeast China. Importantly, we identify significant non-linear effects of various drivers on LER and determine key thresholds for precipitation (694.62 mm), slope (6.68°), urbanization rate (0.05), and agricultural activity rate (33.19), which we use to delineate priority management areas (PMAs). Based on these insights, we propose spatial planning and management strategies tailored to different PMAs for supporting sustainable ecosystem development and enhancing human well-being.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"168 ","pages":"Article 103691"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840648","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":"Response of carbon balance change and carbon imbalance risk to trade-off and synergy of urbanization-ecological construction in Qinghai-Tibet Plateau","authors":"Haoran Gao ,&nbsp;Jian Gong ,&nbsp;Jiakang Liu ,&nbsp;Teng Ye","doi":"10.1016/j.habitatint.2025.103669","DOIUrl":"10.1016/j.habitatint.2025.103669","url":null,"abstract":"<div><div>With growing population pressures and development demands, many key ecological zones are undergoing rapid urbanization and ecological reconstruction, reshaping regional carbon balance (CB) and global source–sink patterns. However, carbon emissions (CE) and carbon sinks (CS) remain poorly understood in ecologically fragile regions. This study focuses on Qinghai-Tibet Plateau (QTP), establishing an integrated CE-CS-CB assessment framework and proposing a carbon imbalance risk (CR) index to reveal CE-CS-CB dynamics and identify CR level at both grid and county scales. An Urbanization-Ecological construction Trade-off/Synergy (UETS) index was developed to quantify urban–ecological interactions, while spatial econometric models were employed to explore response of carbon system evolution to UETS. Results show a strong CS potential in the southeastern region, but the gap between CE and CS has widened, with total CB declining annually. Spatial CB results indicate notable transitions from CS to CE in Lhasa city, Xining city and western Sichuan Province, aligning with high-risk CR zones. From 2008, UETS improved due to ecological protection investment, but weakened after 2015 under accelerating urbanization. Spatial lag model (SLM) results reveal a significant negative impact of UETS on CB and a positive impact on CR, suggesting that stronger urban–ecological synergy may not necessarily lead to enhanced CS. Significant spatial spillover effects highlight the urgency of transboundary carbon governance in QTP. This study proposes the need for cross-border carbon governance, recommend adopting differentiated and multi-scale strategies to alleviate imbalances and enhance carbon security, especially in risk sensitive areas.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"168 ","pages":"Article 103669"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738150","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":"How does digital transformation promote residents' consumption upgrading? - Evidence from China's supply and demand restructuring","authors":"Fengyu Qi ,&nbsp;Panpan Zhang ,&nbsp;Maomao Zhang ,&nbsp;Dong Guo","doi":"10.1016/j.habitatint.2025.103679","DOIUrl":"10.1016/j.habitatint.2025.103679","url":null,"abstract":"<div><div>Digital transformation (DIGT) can not only overcome multiple communication barriers in delivering goods and services, but also foster the emergence of new consumption patterns and better cater to residents' diverse preferences, thereby promoting efficient supply–demand matching. By integrating enterprise-level panel data from Shanghai and Shenzhen A-share listed enterprises with regional data across 30 Chinese provinces (municipalities) from 2013 to 2022, we investigate the impact and underlying mechanisms through which DIGT drives residents’ consumption upgrading (CONUPG). We find that DIGT can promote CONUPG, with a progressively increasing trend that shifts from western to eastern regions relative to the Hu-Huanyong Line. Heterogeneity analysis finds that the DIGT of large-scale and non-SOE enterprises promotes CONUPG, and the effect of DIGT on CONUPG is more pronounced in the eastern region. Mechanism analysis demonstrates that on the demand side, DIGT facilitates CONUPG by enhancing payment convenience and alleviating liquidity constraints. On the supply side, total factor productivity and commodity circulation efficiency serve as key transmission channels. Furthermore, the effect of DIGT on CONUPG via wholesale efficiency improvement is more substantial than that through retail efficiency. Besides, product quality significantly amplifies the positive impact of DIGT on CONUPG. Further analysis reveals that DIGT, influenced by digital transformation speed, promotes CONUPG only when it reaches a moderate level. Additionally, DIGT has a positive spatial spillover effect on CONUPG. These findings provide a solid theoretical foundation for advancing supply–demand structure adjustments to facilitate CONUPG.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"168 ","pages":"Article 103679"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145685111","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":"Rural social space assemblage at the edge of a metropolitan development zone: A case study of Pengdu Village, Shanghai","authors":"Tianyu Li ,&nbsp;Pinyu Chen ,&nbsp;Zhe Zhang ,&nbsp;Chao Yuan ,&nbsp;Xiang Kong","doi":"10.1016/j.habitatint.2025.103699","DOIUrl":"10.1016/j.habitatint.2025.103699","url":null,"abstract":"<div><div>While metropolitan development zones have played a pivotal role in driving regional economic and social development, they have also triggered profound restructuring in adjacent rural areas. Although existing studies have extensively examined the socioeconomic impacts of development zone construction on rural regions, relatively little attention has been paid to the transformation of rural social space, and the assemblage processes and mechanisms remain insufficiently explored. Drawing on assemblage theory, this study constructs an analytical framework for rural social space assemblage. Taking Pengdu Village, located on the periphery of the Minhang Development Zone in Shanghai, China, as a typical case, this study integrates participant observation, in-depth interviews, and statistical analysis into the research design. The findings reveal a close interrelation between the generation of Pengdu Village's social space and the construction of the Minhang Development Zone, reflected in the assemblage process of territorialization, deterritorialization, and reterritorialization. The construction of the Minhang Development Zone has broken the social space structure of Pengdu Village formed during the traditional agricultural stage, prompting the social space of Pengdu Village to move from territorialization to deterritorialization. The transformation and development of the Minhang Development Zone and the implementation of a series of rural conservation practices have contributed to the reterritorialization of social space in Pengdu Village. The transformation of social relations within Pengdu Village reflects the dynamic process of generating its rural social space assemblage, accompanied by coding, decoding and recoding, and driven by the definition of rural external relations, the interaction of heterogeneous elements, and the production of desires, ultimately generating Pengdu Village's social space form. By introducing assemblage theory into rural social space studies, this research provides a novel perspective for understanding the generation of rural social space and offers more possibilities for exploring rural development pathways and models.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"168 ","pages":"Article 103699"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840647","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 climate change adaptation of urban communities in Beijing, China","authors":"Lingyu Liu ,&nbsp;Ting Lan ,&nbsp;Houbin Wei ,&nbsp;Yishan Shen ,&nbsp;Meng Yang","doi":"10.1016/j.habitatint.2025.103706","DOIUrl":"10.1016/j.habitatint.2025.103706","url":null,"abstract":"<div><div>Globally, the rising frequency and intensity of climate-related disasters underscore the urgent need for effective adaptation strategies, especially in urban areas characterized by high concentrations of population and wealth. As the primary frontline defense against growing urban climate risks, communities play a central role in fostering climate-resilient societies. Nonetheless, a systematic framework is still lacking to assess the climate adaptation capacity of urban communities. Therefore, this study, taking Beijing, China as a case study, developed a Structural-Services-Individual (SSI) analytical framework and a Climate Risk-Adaptation Capacity (CR-AC) resilience evaluation framework to explore and assess the key challenges facing urban communities. Based on a combination of survey and statistical data, the results show that communities in Beijing generally exhibit a moderate (Class III) climate adaptation capacity. Structural capacity is the strongest component, followed by individual adaptation capacity, while service provision requires improvement. Furthermore, a noticeable adaptation gap exists between older and newer communities. When exposed to complex and seasonal climate risks, over 50 % of the assessed communities were classified as fragile and high-risk. In contrast, only 27.56 % were considered resilient, maintaining strong adaptive capacity amid high climate risks. To address these vulnerabilities, we recommend: (1) advancing the renovation of old communities through risk-informed infrastructure upgrades; (2) constructing diversified support networks to bolster service capacity; and (3) launching public awareness campaigns to encourage resident-led adaptive actions to strengthen individual-level climate adaptation.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"168 ","pages":"Article 103706"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925446","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}