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Multifractal characteristics of functional urban polycentric structure from the static and dynamic perspective using POI and Taxi Trajectory Data 基于POI和出租车轨迹数据的静态与动态视角下功能性城市多中心结构多重分形特征
IF 7 1区 经济学 Q1 DEVELOPMENT STUDIES Pub Date : 2026-01-22 DOI: 10.1016/j.habitatint.2026.103725
Jiaxin Wang , Feng Lu , Bin Meng , Dan He
A fine-grained characterization of polycentric structures is key to resolving the inconsistencies in performance evaluation. However, existing research is hampered by two major limitations: an overreliance on aggregate indicators and the absence of cross-scale modeling. To address this, we propose a “static structure-dynamic interaction-multiscale correlation” multifractal framework to fine-grainedly model the spatial organization of polycentric structures. Using Beijing as a case study and synthesizing POI and taxi trajectory data, we conduct a multiscale analysis of residential, employment, leisure, and shopping centers. The results show that: (1) Statically, various functional centers exhibit significant multifractal characteristics with distinct structural differentiation: residential centers (singularity exponent 1.71/fractal dimension 1.54) form an extensively distributed and balanced spatial substrate. Employment centers (1.56/1.41) and leisure centers (1.56/1.39) constitute an urban skeleton characterized by both agglomeration and hierarchy. While commercial centers (1.09/0.78) display hub features marked by high local concentration yet global sparsity. (2) Dynamically, the correlation dimensions for three travel purposes increase progressively (employment < shopping < leisure), which respectively reflect ordered, semi-elastic, and elastic flow patterns. (3) The coupling of static and dynamic features indicates that the functional urban polycentric structure is a self-organizing multifractal system. The multifractal approach provides analytical tools to transcend the binary “monocentric vs. polycentric” debate, enabling a fine-grained characterization of urban polycentric structures and thereby laying the groundwork for performance assessment and structural optimization.
多中心结构的细粒度表征是解决性能评估不一致的关键。然而,现有的研究受到两个主要限制的阻碍:过度依赖总体指标和缺乏跨尺度建模。为了解决这一问题,我们提出了一个“静态结构-动态相互作用-多尺度关联”的多重分形框架来精细地模拟多中心结构的空间组织。以北京为例,综合POI和出租车轨迹数据,对居住、就业、休闲和购物中心进行了多尺度分析。结果表明:(1)静力学上,各功能中心表现出明显的多重分形特征,结构分异明显:居住中心(奇异指数1.71/分形维数1.54)形成了分布广泛、分布均衡的空间基质;就业中心(1.56/1.41)和休闲中心(1.56/1.39)构成了具有集聚性和层次性特征的城市骨架。而商业中心(1.09/0.78)则呈现出局部高度集中、全局稀疏的枢纽特征。(2)动态上,三种出行目的的相关维度(就业、购物、休闲)依次递增,分别表现为有序流、半弹性流和弹性流。(3)静态与动态耦合特征表明,功能性城市多中心结构是一个自组织的多重分形系统。多重分形方法提供了超越二元“单中心与多中心”争论的分析工具,能够对城市多中心结构进行细粒度表征,从而为性能评估和结构优化奠定基础。
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引用次数: 0
Flood experience and risk predictability paradox of households: Implications for structural risk reduction and urban planning in Ghana, Africa 洪水经验和家庭风险可预测性悖论:对非洲加纳结构性风险降低和城市规划的启示
IF 7 1区 经济学 Q1 DEVELOPMENT STUDIES Pub Date : 2026-01-20 DOI: 10.1016/j.habitatint.2026.103721
Delali Benjamin K. Dovie , Mac-Donald Abopaam , Aaron K. Christian , Daniel K. Twerefou , Michael Miyittah , Opoku Pabi
Urban floods remain among the most persistent threats to human settlements globally. Yet in Sub-Saharan Africa, the relative influence of geophysical, socio-demographic, and adaptive factors in shaping household flood exposure remains poorly understood. This study addresses this gap by analyzing the flood experiences of 1050 households in Ghana's Greater Accra Metropolitan Area (GAMA), a rapidly urbanizing coastal region facing recurrent hydrometeorological extremes. Going beyond conventional vulnerability mapping, the study integrates physical, social, and behavioural dimensions to statistically assess how household characteristics help predict flood exposure. The results reveal that geophysical attributes, particularly housing elevation, proximity to drainage channels, and wall materials are the most consistent predictors of flood incidence. In contrast, socio-demographic factors such as age, education, sex of household head, and adaptive capacity exert limited explanatory influence. Paradoxically, households capable of predicting floods are more likely to experience them, reflecting a cycle of learned exposure rather than effective avoidance. This finding challenges the notion that experiential knowledge alone enhances resilience. Policy implications point to the urgent need for elevation-based zoning, improved drainage infrastructure, and the enforcement of resilient building codes across municipalities. Moreover, integrating household awareness with early warning systems and district-scale structural interventions can convert local predictive capacity into actionable prevention. Strengthening institutional coordination and spatial planning within flood-prone districts is thus vital to achieving equitable, long-term coastal urban resilience. The study reframes resilience as important relational outcome of governance inertia, offering an African counterpoint that enriches ongoing discourse on urban resilience and governance of coastal flood risk.
城市洪水仍然是全球人类住区最持久的威胁之一。然而,在撒哈拉以南非洲,地球物理、社会人口和适应性因素在形成家庭洪水风险方面的相对影响仍然知之甚少。本研究通过分析加纳大阿克拉都会区(GAMA) 1050户家庭的洪水经历,解决了这一差距。大阿克拉都会区是一个快速城市化的沿海地区,面临经常性的水文气象极端事件。该研究超越了传统的脆弱性测绘,将物理、社会和行为维度结合起来,以统计方式评估家庭特征如何帮助预测洪水风险。结果表明,地球物理属性,特别是房屋高程、靠近排水渠道和墙壁材料是洪水发生的最一致的预测因子。相比之下,年龄、教育程度、户主性别和适应能力等社会人口因素的解释影响有限。矛盾的是,有能力预测洪水的家庭更有可能经历洪水,这反映了一种习得的暴露周期,而不是有效的避免。这一发现挑战了仅凭经验知识就能增强适应力的观念。政策影响表明,迫切需要基于海拔的分区,改善排水基础设施,并在各城市执行弹性建筑规范。此外,将家庭意识与预警系统和地区规模的结构性干预相结合,可以将当地的预测能力转化为可采取行动的预防措施。因此,加强易发洪水地区的机构协调和空间规划对于实现公平、长期的沿海城市抗灾能力至关重要。该研究将弹性重新定义为治理惯性的重要相关结果,提供了一个非洲的对应点,丰富了正在进行的关于城市弹性和沿海洪水风险治理的论述。
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引用次数: 0
Climate-related Planned Relocation as Domicide: The Multi-dimensional Destruction of Home in the Philippines 气候相关的计划搬迁作为住所:菲律宾家庭的多维破坏
IF 7 1区 经济学 Q1 DEVELOPMENT STUDIES Pub Date : 2026-01-16 DOI: 10.1016/j.habitatint.2026.103710
Ginbert Permejo Cuaton , Justin See , Scott Webster
This study critically examines how climate-related planned relocation constitutes domicide-the destruction of home extending beyond the physical or material sense. We develop a conceptual framework to understand how domicide unfolds gradually through disruptions to material-economic, socio-communal, ecological-geographic, and identity-cultural dimensions, driven by institutional logics prioritising physical safety and economic development while neglecting the relational and place-based characteristics of home. Through a multi-method case study in the Philippines, we foreground how spatial designations and urban restructuring after Typhoon Haiyan rendered coastal settlements uninhabitable and reoriented access to land and livelihoods, illustrating how domicide operates collectively and is enabled by the urgency of disaster response. Comparisons between relocation villages further highlight that participatory mechanisms and tenure security can mitigate some harms. Yet, relocation often produces losses beyond physical displacement, including economic hardship, cultural rupture, and social fragmentation. This study argues that domicide is not merely an unintended consequence but an inherent risk of adaptation policies when they overlook the full spectrum of what constitutes home, emphasising the need to recognise and address these interconnected risks to foster just and meaningful climate futures. By expanding the concept of domicide beyond the physical destruction of homes, this study reveals the subtle yet profound suffering that climate adaptation interventions can cause, urging policymakers to adopt more careful, holistic approaches that preserve the complexity of home while addressing climate vulnerabilities.
这项研究批判性地考察了与气候相关的计划搬迁如何构成谋杀——超越物理或物质意义上的对家园的破坏。我们开发了一个概念框架来理解住所是如何通过物质经济、社会社区、生态地理和身份文化维度的破坏逐渐展开的,这是由优先考虑人身安全和经济发展的制度逻辑驱动的,同时忽视了家庭的关系和基于地方的特征。通过在菲律宾进行的多方法案例研究,我们展望了台风“海燕”过后的空间规划和城市重组如何使沿海定居点无法居住,并重新定位了土地和生计的获取途径,说明了定居是如何集体运作的,并通过紧急的灾害应对得以实现。对搬迁村的比较进一步强调了参与性机制和保有权保障可以减轻一些危害。然而,搬迁往往造成的损失超出了物质上的迁移,包括经济困难、文化破裂和社会分裂。这项研究认为,当适应政策忽视了构成家园的全部要素时,住所不仅是一种意想不到的后果,而且是一种固有的风险,强调需要认识和解决这些相互关联的风险,以促进公正和有意义的气候未来。通过将住所的概念扩展到房屋的物理破坏之外,本研究揭示了气候适应干预措施可能造成的微妙而深刻的痛苦,敦促政策制定者采取更谨慎、更全面的方法,在解决气候脆弱性的同时保持家庭的复杂性。
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引用次数: 0
Livelihoods of Female Heads in state-led resettlement housing in Kigali, Rwanda 卢旺达基加利,国家领导的安置住房中女性族长的生计
IF 7 1区 经济学 Q1 DEVELOPMENT STUDIES Pub Date : 2026-01-16 DOI: 10.1016/j.habitatint.2026.103709
Tharcille Dukuzemariya , Wilbard J. Kombe , Tatu Mtwangi-Limbumba
State-led urban resettlement housing programs in developing nations raise concerns about addressing residents' social, cultural, physical, and economic needs. Female-headed households (FHHs) are particularly susceptible to these shortcomings due to their roles as sole breadwinners, poverty-related experiences, and reproductive responsibilities. Currently, there is limited research on how these households manage the additional challenges posed by state-led resettlement. This study employs interviews, focus groups, direct observations, and insights from key informants to investigate the experiences and coping mechanisms of FHHs in Gikomero and Busanza model villages, developed under Rwanda's Integrated Development Program (IDP). The central research question entails the intersecting vulnerabilities faced by FHHs in resettlement housing and how policy can effectively address these challenges. Our findings indicate that while IDP housing has improved basic living conditions, FHHs continue to encounter the following: limited employment opportunities, restricted access to credit, food insecurity, decreased income, inadequate housing design, disrupted social networks, poor transportation infrastructure, and unfavourable housing regulations. Furthermore, an intersectional analysis reveals that these livelihood challenges vary according to women's socio-identities, thereby shaping their vulnerabilities and adaptive capacities. Therefore, to achieve greater justice and inclusivity, the resettlement scheme should prioritise the diverse needs and lived experiences of women by placing them at the centre of every decision-making process.
在发展中国家,国家主导的城市重新安置住房项目引起了人们对解决居民的社会、文化、物质和经济需求的关注。女性户主家庭特别容易受到这些缺点的影响,因为她们是唯一养家糊口的人,与贫困有关的经历和生育责任。目前,关于这些家庭如何应对国家主导的重新安置带来的额外挑战的研究有限。本研究采用访谈法、焦点小组法、直接观察法和主要线人的见解,调查了卢旺达综合发展计划(IDP)下吉科梅罗和布桑扎示范村家庭卫生服务机构的经验和应对机制。研究的核心问题是家庭卫生服务者在安置住房方面面临的交叉脆弱性,以及政策如何有效应对这些挑战。我们的研究结果表明,虽然国内流离失所者住房改善了基本生活条件,但FHHs仍然面临以下问题:就业机会有限、信贷受限、粮食不安全、收入减少、住房设计不足、社会网络中断、交通基础设施落后以及不利的住房法规。此外,一项交叉分析显示,这些生计挑战因妇女的社会身份而异,从而影响了她们的脆弱性和适应能力。因此,为了实现更大的公正和包容性,重新安置计划应优先考虑妇女的多样化需求和生活经历,将其置于每一个决策过程的中心。
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引用次数: 0
Changes in the accessibility of urban catering spaces due to the emergence and evolution of the Online-to-Offline food delivery business 线上到线下外卖业务的出现和发展导致城市餐饮空间可达性的变化
IF 7 1区 经济学 Q1 DEVELOPMENT STUDIES Pub Date : 2026-01-10 DOI: 10.1016/j.habitatint.2026.103713
Chuyi Tan , Meng Bian , Teng Fei
Recently, O2O(Online-to-Offline) giants have put drone delivery technology into trial operation, which has the advantages of being fast, cost-effective, and human contact-free. It is predictable that in the near future, the widespread of drone delivery will further change the current spatial layout of take-out accessibility. This study adopts the Gaussian Two-Step Floating Catchment Area (2SFCA) method to evaluate the urban dining resource accessibility under different categories and calculates total accessibility scores under dine-in, O2O delivery with e-bikes, and drone delivery patterns. A differential analysis was conducted to explore the dynamics of dining accessibility enhancement and diminution. The gridded population is regarded as the demander while gridded restaurant location points are regarded as suppliers. The method was deployed in a case study in 6 major districts of Chengdu, China. The findings disclose that (1) the total food and beverage accessibility scores of demand points under the electric vehicle delivery take-out model are unevenly distributed within the study area. Compared with walk-in dining mode, the spatial distribution of dining resource accessibility of O2O delivery with e-bikes has been greatly smoothed. (2) The future ubiquity of drone delivery in urban contexts is poised to not only enhance the accessibility of takeaway resources for a majority of demand points but also mitigate existing disparities in accessibility. This is evidenced by a projected reduction in the Gini coefficient from 0.77 to 0.66, heralding a future where expedient and fresh takeaway food is universally attainable. The insights gleaned from this study hold practical implications for scholars and policymakers in analogous contexts and regions.
最近,O2O(Online-to-Offline)巨头已经将无人机送货技术投入试运行,这种技术具有快速,成本效益高,无需人工接触的优点。可以预见,在不久的将来,无人机配送的普及将进一步改变目前外卖可达性的空间布局。本研究采用高斯两步浮动集水区法(2SFCA)对不同类别下的城市餐饮资源可达性进行评价,并计算入餐模式、电动自行车O2O外卖模式和无人机外卖模式下的总可达性得分。通过差异分析,探讨餐饮可达性增强和减弱的动态变化。将网格化的人口视为需求者,将网格化的餐厅位置点视为供给者。该方法在中国成都市6个主要地区进行了案例研究。研究发现:(1)电动汽车外卖模式下需求点餐饮可达性总分在研究区域内分布不均匀。与步入式用餐模式相比,电动自行车O2O外卖餐饮资源可达性的空间分布得到了极大的平滑。(2)未来无人机配送在城市环境中的无处不在,不仅可以提高大多数需求点外卖资源的可及性,还可以缓解现有的可及性差距。预计基尼系数将从0.77降至0.66,这就证明了这一点,预示着方便和新鲜的外卖食品将在未来随处可见。从本研究中收集的见解对类似背景和地区的学者和政策制定者具有实际意义。
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引用次数: 0
Aquatic informal settlements: Vernacular design strategies for flood-resilient built environments 水生非正式住区:抗洪建筑环境的乡土设计策略
IF 7 1区 经济学 Q1 DEVELOPMENT STUDIES Pub Date : 2026-01-10 DOI: 10.1016/j.habitatint.2025.103708
Johan Mottelson , Remígio Chilaule , Alessandro Venerandi
More frequent extreme weather events caused by climate change increase the risk of flooding in informal settlements, exacerbating vulnerabilities stemming from inadequate storm water management infrastructure, dependence on on-site sanitation, and precarious settlement sites. Addressing these challenges requires climate change adaptation of informal settlements. This study focuses on adaptation of the built environment to enhance flood resilience among communities with long-standing traditions of settlement in aquatic settings. It employs qualitative visual analysis of satellite imagery covering aquatic informal settlements to document urban level design strategies along with photographic field data from Lagos, Nigeria, and Châu Đốc, Vietnam to document building level design strategies. The analysis identifies several key vernacular flood resilience design strategies developed without involvement of architects, planners, and engineers, including the construction of artificial islands that consolidate settlements at the block level and spatially separate flooded public areas from elevated, fortified private zones protected from flooding; the use of raised pedestrian pathways to separate mobility systems from flooded areas; and the incorporation of prefabricated concrete stilt elements in housing construction to protect domestic environments from flooding at low cost. The study discusses the potential of these vernacular design strategies to inform climate change adaptation in flood-prone informal settlements.
气候变化导致的极端天气事件更加频繁,增加了非正式住区发生洪水的风险,加剧了雨水管理基础设施不足、依赖现场卫生设施和不稳定住区所造成的脆弱性。应对这些挑战需要非正式住区适应气候变化。本研究的重点是对建筑环境的适应,以增强具有长期在水生环境中定居传统的社区的防洪能力。它使用卫星图像的定性视觉分析来记录城市关卡设计策略,并使用来自尼日利亚拉各斯和越南ch Đốc的摄影现场数据来记录建筑关卡设计策略。分析确定了几个关键的乡土抗洪设计策略,这些策略是在没有建筑师、规划师和工程师参与的情况下制定的,包括人工岛屿的建设,这些岛屿巩固了街区层面的定居点,并在空间上将被洪水淹没的公共区域与高架的、强化的私人区域分开,以保护免受洪水侵袭;使用高架行人通道,将交通系统与水浸地区分开;在房屋建筑中加入预制混凝土高跷构件,以低成本保护家庭环境免受洪水侵袭。该研究讨论了这些乡土设计策略的潜力,为易受洪水影响的非正式住区提供适应气候变化的信息。
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引用次数: 0
Long-term spatiotemporal dynamics of urban land and surface water bodies in Shanghai over the past 90 years using old maps and dense Landsat time series 基于旧地图和密集Landsat时间序列的近90年来上海城市土地和地表水的长期时空动态
IF 7 1区 经济学 Q1 DEVELOPMENT STUDIES Pub Date : 2026-01-06 DOI: 10.1016/j.habitatint.2025.103702
Baohui Chai
Understanding the long-term spatiotemporal dynamics of urbanization and its relationship with surface water changes is essential for sustainable urban planning and water resource management. This study integrated historical maps and dense Landsat imagery time series to examine the changes and interactions between urban land and surface water in Shanghai over the past 90 years (1927–2017). Through the long-term reconstruction of urban land and surface water time series, as well as multi-perspective spatiotemporal analysis, the research questions addressed in this study were: (1) To what extent have urban land and surface water bodies in Shanghai changed over the past 90 years? (2) What are the spatiotemporal patterns and trends in these changes? Surface water was extracted from 1927 to 1965 maps using Support Vector Machine (SVM) and image morphology, while urban land was identified through SVM and image segmentation. For the remote sensing era, all available Landsat data up to 2017 were processed using the Continuous Change Detection and Classification algorithm (CCDC), with annual water extents refined through water index clustering. Spatiotemporal analyses characterized the dynamics of the urban-water relationship, focusing on urban changes, water changes, and transitions between the two. Results revealed a significant decline in surface water during early urban expansion, followed by a subsequent increase in the recent decade. Additionally, the contribution of water-to-urban transitions to urban development diminished over time. This study demonstrates the value of integrating multi-source data and spatiotemporal analysis for reconstructing long-term urban and water changes, providing critical insights into their evolving relationship.
了解城市化的长期时空动态及其与地表水变化的关系对可持续城市规划和水资源管理至关重要。本研究结合历史地图和密集Landsat影像时间序列,考察了近90年来(1927-2017)上海城市土地与地表水的变化及其相互作用。通过对城市土地和地表水时间序列的长期重建,以及多视角的时空分析,本文研究的问题是:(1)近90年来上海城市土地和地表水发生了何种程度的变化?(2)这些变化的时空格局和趋势是什么?利用支持向量机(SVM)和图像形态学对1927 ~ 1965年的地表水进行提取,同时利用支持向量机(SVM)和图像分割对城市土地进行识别。在遥感时代,使用CCDC (Continuous Change Detection and Classification)算法对2017年之前所有可用的Landsat数据进行处理,并通过水指数聚类对年度水范围进行细化。时空分析揭示了城市-水关系的动态特征,重点关注城市变化、水变化以及两者之间的过渡。结果表明,城市扩张初期地表水显著减少,近10年地表水增加。此外,水到城市的转变对城市发展的贡献随着时间的推移而减少。该研究展示了整合多源数据和时空分析对重建长期城市和水资源变化的价值,为了解它们的演变关系提供了重要见解。
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引用次数: 0
Evaluating the climate change adaptation of urban communities in Beijing, China 北京城市社区气候变化适应评价
IF 7 1区 经济学 Q1 DEVELOPMENT STUDIES Pub Date : 2026-01-05 DOI: 10.1016/j.habitatint.2025.103706
Lingyu Liu , Ting Lan , Houbin Wei , Yishan Shen , Meng Yang
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.
在全球范围内,气候相关灾害的频率和强度不断上升,突显出迫切需要制定有效的适应战略,特别是在人口和财富高度集中的城市地区。社区作为抵御日益增长的城市气候风险的第一线,在建设气候适应型社会方面发挥着核心作用。然而,目前还缺乏一个系统的框架来评估城市社区的气候适应能力。因此,本研究以中国北京市为例,构建了结构-服务-个体(SSI)分析框架和气候风险-适应能力(CR-AC)复原力评估框架,探讨和评估城市社区面临的主要挑战。基于调查与统计相结合的结果表明,北京市社区总体表现出中等(III类)的气候适应能力。结构能力是最强的组成部分,其次是个人适应能力,而服务提供需要改进。此外,新旧群落之间存在明显的适应差距。当面临复杂和季节性气候风险时,超过50%的评估社区被列为脆弱和高风险。相比之下,只有27.56%被认为具有弹性,在高气候风险下保持了强大的适应能力。为了解决这些漏洞,我们建议:(1)通过风险知情的基础设施升级推进旧社区的改造;(2)构建多元化的支持网络,提升服务能力;(3)开展公众意识运动,鼓励居民主导的适应行动,加强个人层面的气候适应。
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引用次数: 0
Incursions upon agricultural land within metropolitan peripheries: Deadlocks and geo-legal trajectories of regularization in Paris and Mexico-city 都市外围地区对农业用地的入侵:巴黎和墨西哥城正规化的僵局和地理法律轨迹
IF 7 1区 经济学 Q1 DEVELOPMENT STUDIES Pub Date : 2025-12-31 DOI: 10.1016/j.habitatint.2025.103696
Claire Aragau , Jean-François Valette
Within metropolitan peripheries, irrespective of the national or regional contexts, the clash between rural and urban areas is at the center of metropolitan production. This clash is a twofold movement with urban sprawl, on the one hand, and major environmental injunctions, on the other. By looking at the two contexts of Paris and Mexico City, our research objective is to comprehend peripheries as places magnifying competing land dynamics, leading to scenarios of crises as well as social, political and legal innovations. The methodology is based on the analysis of field observations and surveys, public databases and official documents, using a social geographical approach. The article analyzes how stakeholders within the land system control peripheral land, focusing on public authorities, property market actors, and developers. The goal is to show the limitations of this control and reveal how and why residents and citizen groups build arrangements and regularizations. At the end, this article aims to contribute to the debates on the land rules deadlocks in the urban-rural interface. From different deadlocks observed in each context, the comparison underlines converging geo-legal trajectories of land regulation.
在大都市外围,无论国家或地区背景如何,农村和城市地区之间的冲突是大都市生产的中心。这场冲突是一场双重运动,一方面是城市扩张,另一方面是主要的环境禁令。通过观察巴黎和墨西哥城的两个背景,我们的研究目标是将边缘理解为放大竞争土地动态的地方,导致危机场景以及社会,政治和法律创新。该方法基于对实地观察和调查、公共数据库和官方文件的分析,采用社会地理方法。本文分析了土地系统内的利益相关者如何控制外围土地,重点关注公共当局、房地产市场参与者和开发商。目的是显示这种控制的局限性,并揭示居民和公民团体如何以及为什么建立安排和规范化。最后,本文旨在对城乡结合部土地规则僵局的争论做出贡献。从每种情况下观察到的不同僵局来看,这种比较突显了土地监管的地缘法律轨迹趋同。
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引用次数: 0
The complexity of urban form’s impacts on residents’ neighborhood perception: Machine learning evidence from Singapore 城市形态的复杂性对居民邻里感知的影响:来自新加坡的机器学习证据
IF 7 1区 经济学 Q1 DEVELOPMENT STUDIES Pub Date : 2025-12-31 DOI: 10.1016/j.habitatint.2025.103701
Guiheng Si , Mingyi He , Weimin Zhuang , Ye Zhang
How neighborhoods are defined has long been a key issue in urban research. Traditional approaches primarily rely on census data. However, such demarcations have been increasingly criticized for failing to capture the area that residents perceive as their neighborhoods. These ‘perceived neighborhoods’ more accurately align with their lived experiences. Therefore, identifying perceived neighborhoods would be helpful for understanding residents’ everyday activities and addressing their needs through planning and design. Recently, emerging evidence suggested that residents’ neighborhood perception is significantly influenced by urban form. However, existing studies often oversimplify the influence, tending to examine a single aspect of urban form independently but neglecting the interplay of different aspects, and produce partial understandings. Drawing on diverse urban datasets and cognitive mapping surveys from Singapore, this study develops a machine learning framework to bridge this gap. Using SHAP analysis, the results indicate that residents’ neighborhood perception is primarily affected by urban form features associated with their daily activities—such as footpath density and commercial facility distribution—rather than visual ones. Moreover, how residents perceive a place is affected not only by features of that place itself, but also by those of their own places of residence. It suggests that neighborhood perception is a relative process. Additionally, the findings uncover nonlinear effects of certain features, wherein the effects can diminish or even reverse when over-supplied. This study offers an in-depth understanding of the complexity of urban form’s influence on residents’ neighborhood perception and provides insights for responsive neighborhood planning and design.
如何定义社区一直是城市研究中的一个关键问题。传统的方法主要依赖于人口普查数据。然而,这样的划分受到越来越多的批评,因为它没有涵盖居民认为是他们社区的区域。这些“感知到的社区”更准确地与他们的生活经历相吻合。因此,识别感知社区将有助于了解居民的日常活动,并通过规划和设计解决他们的需求。近年来,越来越多的研究表明,城市形态对居民的邻里感知有显著影响。然而,现有的研究往往过于简单化,倾向于独立地考察城市形态的单一方面,而忽视了不同方面的相互作用,并产生了片面的理解。利用新加坡不同的城市数据集和认知地图调查,本研究开发了一个机器学习框架来弥合这一差距。使用SHAP分析,结果表明居民的邻里感知主要受到与他们的日常活动相关的城市形态特征(如人行道密度和商业设施分布)的影响,而不是视觉特征。此外,居民对一个地方的看法不仅受到这个地方本身特征的影响,也受到他们自己居住的地方的特征的影响。这表明邻里感知是一个相对过程。此外,研究结果还揭示了某些特征的非线性效应,当供过于求时,这种效应会减弱甚至逆转。本研究深入了解城市形态对居民邻里感知影响的复杂性,为响应式邻里规划设计提供参考。
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