Computers Environment and Urban Systems最新文献_第3页

Plot-scale population estimation modeling based on residential plot form clustering and locational attractiveness analysis 基于小区形态聚类和区位吸引力分析的小区尺度人口估计模型

IF 7.1 1区地球科学

Computers Environment and Urban Systems Pub Date : 2025-02-18 DOI: 10.1016/j.compenvurbsys.2025.102257

Youmei Peng, Quan Liu

{"title":"Plot-scale population estimation modeling based on residential plot form clustering and locational attractiveness analysis","authors":"Youmei Peng, Quan Liu","doi":"10.1016/j.compenvurbsys.2025.102257","DOIUrl":"10.1016/j.compenvurbsys.2025.102257","url":null,"abstract":"<div><div>In many regions, urbanization has advanced to a stage that requires urban renewal, making precise population data essential for effective regional renewal and sustainable development. Therefore, this paper aims to disaggregate Jiedao-level (an administrative unit under the district) census population data to the Plot level. From an urban morphology perspective, the Gaussian Mixture Model (GMM) clustering algorithm was applied to classify the form of residential plots, assigning a type parameter for each type: the per capita housing area, to describe population density differences among the types. We then used Pearson correlation analysis to assess the relationship between POI density and population density at various bandwidths, identifying the optimal bandwidth for different POI types and calculating the overall POI density for each plot to evaluate its locational attractiveness. A regression model was established using per capita housing area, POI density, and total building area to derive population weight layers for estimating population at the plot level. The results of accuracy assessment show that using the morphological type parameter can effectively improve the estimation accuracy at plot scale, especially in areas with diverse land-use patterns and lower population density. However, our optimized locational attractiveness calculation method shows only a slight improvement to the method using a fixed bandwidth. This study develops a more accurate population estimation method of plot-level based on morphological classification， and highlights the population distribution characteristics of different types of residential plots, aiding urban decision-makers in developing targeted strategies for housing optimization and community resource allocation.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"118 ","pages":"Article 102257"},"PeriodicalIF":7.1,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model-based estimation of the isolated impacts of urban expansion on projected streamflow values under varied climate scenarios 不同气候情景下城市扩张对预估流量的孤立影响的基于模型的估算

IF 7.1 1区地球科学

Computers Environment and Urban Systems Pub Date : 2025-02-16 DOI: 10.1016/j.compenvurbsys.2025.102259

A. Botero-Acosta , M.L. Chu , C.L. Wu , G.F. McIsaac , J.H. Knouft

{"title":"Model-based estimation of the isolated impacts of urban expansion on projected streamflow values under varied climate scenarios","authors":"A. Botero-Acosta , M.L. Chu , C.L. Wu , G.F. McIsaac , J.H. Knouft","doi":"10.1016/j.compenvurbsys.2025.102259","DOIUrl":"10.1016/j.compenvurbsys.2025.102259","url":null,"abstract":"<div><div>The use of computationally intensive hydrologic models under future climate scenarios has become a common practice to project water resource concerns in the coming decades. Under this approach, hydrologic models are parameterized and run under various climate forcings. Although urban areas are expected to expand during the time frame of these simulations, potentially impacting watershed hydrology, the uncertainty of forecasted streamflow is usually estimated based on the ensemble of climate scenarios, with minimal (if any) attention given to the uncertainty introduced by land transformations. The objective of this study is to quantify the Isolated Impacts on Projected Streamflow (IIPS) caused by urban expansion as climate changes in a watershed in the midwestern United States. IIPS time series were estimated as the difference between projected streamflows under future climate scenarios with and without urban expansion and weighted by the historical (1980–2010) monthly average. Two gradual and two abrupt urbanization scenarios, having equivalent developed areas by the end of the 21st century, were implemented. Results indicate that gradual urbanization could result in both increased (up to 26 %) and decreased (up to 16 %) projected streamflows, suggesting the increase in variability of extremes, with potential impacts on human and natural systems. Yearly minimum and maximum IIPS for all scenarios were found to be more likely to occur in summer and fall months, respectively. Impacts of the abrupt urban expansion were mainly observed in the cumulative IIPS and the ensemble variability of extreme IIPS. These results provide insights into the uncertainty of future streamflow estimates attributable to urban expansion.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"118 ","pages":"Article 102259"},"PeriodicalIF":7.1,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Shortest covering paths and other covering walks: Refinements and prospects for subtour prevention 最短覆盖路径与其他覆盖路径：改进与展望

IF 7.1 1区地球科学

Computers Environment and Urban Systems Pub Date : 2025-02-13 DOI: 10.1016/j.compenvurbsys.2024.102247

T.C. Matisziw

{"title":"Shortest covering paths and other covering walks: Refinements and prospects for subtour prevention","authors":"T.C. Matisziw","doi":"10.1016/j.compenvurbsys.2024.102247","DOIUrl":"10.1016/j.compenvurbsys.2024.102247","url":null,"abstract":"<div><div>The shortest covering path problem (SCPP) is a network optimization model in which a least-cost route connecting an origin and destination that can be accessed by all demand nodes in a network is sought. Thus, it is applicable to transportation planning tasks such as designing routes for public transit and distribution systems. However, deriving optimal solutions to the SCPP can be challenging as an iterative solution approach is often required. Also, problems can arise in accounting for coverage of network nodes and in the handling of certain types of cycles. To this end, a family of model variants for the SCPP is proposed to remedy these problems and to assist with the identification of covering paths and other walks. Additionally, the case in which the origin node is also the destination node is incorporated into the SCPP framework. A flow-constrained SCPP that does not require an iterative solution process is then proposed to identify optimal walks of different types. The flow-constrained SCPP and its iterative counterpart are solved for all origin-destination pairs in a network and their relative computational characteristics are assessed. The results demonstrate that optimal solutions to the flow-constrained SCPP can be obtained more quickly than those obtained using the iterative approach. The results also provide further evidence of the relevance of cycles, particularly those involving U-turns, in solutions to network routing problems. Together, the proposed refinements, extensions, and documented computational experience will extend the applicability and the utility of the SCPP and its counterpart path covering models.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"118 ","pages":"Article 102247"},"PeriodicalIF":7.1,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Simulating household energy behavior diffusion using spatial microsimulation and econometric models 利用空间微观模拟和计量模型模拟家庭能源行为扩散

IF 7.1 1区地球科学

Computers Environment and Urban Systems Pub Date : 2025-02-08 DOI: 10.1016/j.compenvurbsys.2025.102256

Jianhua Zhang , Loes Bouman , Dimitris Ballas , Xiaolong Liu

{"title":"Simulating household energy behavior diffusion using spatial microsimulation and econometric models","authors":"Jianhua Zhang , Loes Bouman , Dimitris Ballas , Xiaolong Liu","doi":"10.1016/j.compenvurbsys.2025.102256","DOIUrl":"10.1016/j.compenvurbsys.2025.102256","url":null,"abstract":"<div><div>Analyzing household energy behaviors from a spatial perspective is crucial for both policymakers and network operators. However, conducting spatial analysis at a fine scale presents significant challenges, primarily due to data scarcity. This article demonstrates the potential of integrating spatial microsimulation and spatial econometric models to address this issue. Specifically, we construct a static spatial microsimulation model to create a synthetic population for the entire Netherlands, simulating neighborhood-level spatial distributions of household energy behaviors. The results indicate significant neighborhood-level spatial heterogeneity in the adoption of energy behaviors. Subsequently, this simulated output is used as input for spatial econometric models to analyze the neighborhood-level spatial determinants of household energy behavior adoption. We identify the roles of both spatial endogenous effects and neighborhood-specific characteristics in contributing to the observed spatial variations in household energy behaviors.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"117 ","pages":"Article 102256"},"PeriodicalIF":7.1,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting Desire Paths: Agent-Based Simulation for Neighbourhood Route Planning 期望路径预测：基于智能体的邻里路线规划仿真

IF 7.1 1区地球科学

Computers Environment and Urban Systems Pub Date : 2025-02-05 DOI: 10.1016/j.compenvurbsys.2025.102251

Józef Bossowski , Tomasz Szandała , Jacek Mazurkiewicz

{"title":"Predicting Desire Paths: Agent-Based Simulation for Neighbourhood Route Planning","authors":"Józef Bossowski , Tomasz Szandała , Jacek Mazurkiewicz","doi":"10.1016/j.compenvurbsys.2025.102251","DOIUrl":"10.1016/j.compenvurbsys.2025.102251","url":null,"abstract":"<div><div>This study addresses how informal “desire paths” emerge when urban infrastructure does not align with pedestrian preferences, focusing on small, local neighbourhoods to bridge a recognised research gap in urban planning. It introduces an agent-based modelling (ABM) framework that builds on path optimisation, affordance theory, and two novel models: a weighted preferences model that accounts for varied pedestrian priorities beyond route length and an obstacle avoidance model that achieves 60 % accuracy, indicating it can successfully replicate aspects of natural navigation, but still showing potential for further refinements. Conducted in three-dimensional simulations using Unity3D and the Agent-Based Modelling for Unity (ABMU) toolkit, this approach yields complex path networks that illuminate pedestrian decision-making processes and highlight the impact of diverse priorities, including local optimisation of route length, on network efficiency. By clarifying these ABM-driven insights, we underscore the significance of integrating multiple pedestrian preferences into urban planning to foster more sustainable development in local neighbourhoods.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"117 ","pages":"Article 102251"},"PeriodicalIF":7.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143344248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From 3D pedestrian networks to wheelable networks: An automatic wheelability assessment method for high-density urban areas using contrastive deep learning of smartphone point clouds 从3D步行网络到轮式网络：基于智能手机点云对比深度学习的高密度城市地区轮式自动评估方法

IF 7.1 1区地球科学

Computers Environment and Urban Systems Pub Date : 2025-02-05 DOI: 10.1016/j.compenvurbsys.2025.102255

Siyuan Meng , Xian Su , Guibo Sun , Maosu Li , Fan Xue

{"title":"From 3D pedestrian networks to wheelable networks: An automatic wheelability assessment method for high-density urban areas using contrastive deep learning of smartphone point clouds","authors":"Siyuan Meng , Xian Su , Guibo Sun , Maosu Li , Fan Xue","doi":"10.1016/j.compenvurbsys.2025.102255","DOIUrl":"10.1016/j.compenvurbsys.2025.102255","url":null,"abstract":"<div><div>This paper presents a contrastive deep learning-based wheelability assessment method bridging street-scale smartphone point clouds and a city-scale 3D pedestrian network (3DPN). 3DPNs have been studied and mapped for walkability and smart city applications. However, the city-level scale of 3DPN in the literature was incomplete for assessing wheelchair accessibility (i.e., wheelability) due to omitted pedestrian paths, undetected stairs, and oversimplified elevated walkways; these features could be better represented if the mapping scale was at a micro-level designed for wheelchair users. In this paper, we reinforced the city-scale 3DPN using smartphone point clouds, a promising data source for supplementing fine-grain details and temporal changes due to the centimeter-level accuracy, vivid color, high density, and crowd sourcing nature. The three-step method reconstructs pedestrian paths, stairs, and slope details and enriches the city-scale 3DPN for wheelability assessment. The experimental results on pedestrian paths demonstrated accurate 3DPN centerline position (<em>mIoU</em> = 88.81 %), stairs detection (<em>mIoU</em> = 86.39 %), and wheelability assessment (<em>MAE</em> = 0.09). This paper contributes an automatic, accurate, and crowd sourcing wheelability assessment method that bridges ubiquitous smartphones and 3DPN for barrier-free travels in high-density and hilly urban areas.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"117 ","pages":"Article 102255"},"PeriodicalIF":7.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The use of urban analytics in strategic planning – A case study of the greater Sydney region plan 城市分析在战略规划中的应用——以大悉尼地区规划为例

IF 7.1 1区地球科学

Computers Environment and Urban Systems Pub Date : 2025-01-27 DOI: 10.1016/j.compenvurbsys.2025.102249

Claire Daniel, Chris Pettit

{"title":"The use of urban analytics in strategic planning – A case study of the greater Sydney region plan","authors":"Claire Daniel, Chris Pettit","doi":"10.1016/j.compenvurbsys.2025.102249","DOIUrl":"10.1016/j.compenvurbsys.2025.102249","url":null,"abstract":"<div><div>Technological advances in big data and artificial intelligence have seen a resurgence of enthusiasm for the application of data analytics in planning. History has shown that having high expectations doesn't always mean new analytical tools will be adopted and there is a need for current empirical research to evaluate how urban analytics are produced and used in planning practice. Through combining document analysis, citation network analysis and key informant interviews, this research examined the system behind the production and use of urban analytics during a major strategic planning process in Sydney, Australia. The analysis revealed a complex political system involving over 800 referenced sources from nearly 500 organisations. Although data analytics was just one aspect of the evidence for the plans, it served several base intelligence needs. Most prominently, conceptually simple models were used to measure and forecast the need for various types of land, including residential, commercial, and industrial areas. In addition to updating empirical knowledge, the research provides a new characterization of the social and political rationales shaping digital planning practices. The influence of data analytics on decision making was found to be far from direct. Political factors influenced all aspects of the system, from the availability of data to the use of analytics to coordinate the actions of various participants. For scholars, the findings of this research assist in evaluating emerging ideas about digital planning. For practitioners, the findings contribute to more informed investment in data, tools and training that meet the specific needs of strategic planning practice.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"117 ","pages":"Article 102249"},"PeriodicalIF":7.1,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using computer vision and street view images to assess bus stop amenities 使用计算机视觉和街景图像来评估公共汽车站的设施

IF 7.1 1区地球科学

Computers Environment and Urban Systems Pub Date : 2025-01-26 DOI: 10.1016/j.compenvurbsys.2025.102254

Yilong Dai , Luyu Liu , Kaiyue Wang , Meiqing Li , Xiang Yan

{"title":"Using computer vision and street view images to assess bus stop amenities","authors":"Yilong Dai , Luyu Liu , Kaiyue Wang , Meiqing Li , Xiang Yan","doi":"10.1016/j.compenvurbsys.2025.102254","DOIUrl":"10.1016/j.compenvurbsys.2025.102254","url":null,"abstract":"<div><div>The assessment of bus stop amenities is important for providing fundamental data for public transit research, planning, and infrastructure enhancements. So far, public data on the amenities at bus stops have largely been unavailable. This study develops an automated, low-cost, and generalizable approach using Google Street View images and deep learning techniques to evaluate bus stop amenities. Leveraging the latest YOLOv8 model, transfer learning, and a dynamic prediction algorithm, our approach achieves efficient detection of shelters and benches with high accuracy and precision in major Florida cities. Results reveal highly heterogeneous spatial patterns for both shelters and benches within and across cities. Additionally, we conducted several tests to evaluate the transferability of the system to other urban contexts, which shows that highly accurate feature detection results can be achieved through model fine-tuning on a small sample of local data. In summary, the proposed system offers a scalable and efficient solution for large-scale real-time assessment of bus stop amenities, which can inform public transportation research and planning, especially for future transit infrastructure improvements.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"117 ","pages":"Article 102254"},"PeriodicalIF":7.1,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Coverage and bias of street view imagery in mapping the urban environment 街景图像在城市环境制图中的覆盖范围和偏差

IF 7.1 1区地球科学

Computers Environment and Urban Systems Pub Date : 2025-01-23 DOI: 10.1016/j.compenvurbsys.2025.102253

Zicheng Fan , Chen-Chieh Feng , Filip Biljecki

{"title":"Coverage and bias of street view imagery in mapping the urban environment","authors":"Zicheng Fan , Chen-Chieh Feng , Filip Biljecki","doi":"10.1016/j.compenvurbsys.2025.102253","DOIUrl":"10.1016/j.compenvurbsys.2025.102253","url":null,"abstract":"<div><div>Street View Imagery (SVI) has emerged as a valuable data form in urban studies, enabling new ways to map and sense urban environments. However, fundamental concerns regarding the representativeness, quality, and reliability of SVI remain underexplored, e.g. to what extent can cities be captured by such data and do data gaps result in bias. This research, positioned at the intersection of spatial data quality and urban analytics, addresses these concerns by proposing a novel and effective method to estimate SVI's element-level coverage in the urban environment. The method integrates the positional relationships between SVI and target elements, as well as the impact of physical obstructions. Expanding the domain of data quality to SVI, we introduce an indicator system that evaluates the extent of coverage, focusing on the completeness and frequency dimensions. Taking London as a case study, three experiments are conducted to identify potential biases in SVI's ability to cover and represent urban environmental elements, using building facades as an example. It is found that despite their high availability along urban road networks, Google Street View covers only 62.4 % of buildings in the case study area. The average facade coverage per building is 12.4 %. SVI tends to over-represent non-residential buildings, thus possibly resulting in biased analyses, and its coverage of environmental elements is position-dependent. The research also highlights the variability of SVI coverage under different data acquisition practices and proposes an optimal sampling interval range of 50–60 m for SVI collection. The findings suggest that while SVI offers valuable insights, it is no panacea – its application in urban research requires careful consideration of data coverage and element-level representativeness to ensure reliable results.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"117 ","pages":"Article 102253"},"PeriodicalIF":7.1,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Socio-spatial segregation and human mobility: A review of empirical evidence 社会空间隔离与人类流动：经验证据综述

IF 7.1 1区地球科学

Computers Environment and Urban Systems Pub Date : 2025-01-21 DOI: 10.1016/j.compenvurbsys.2025.102250

Yuan Liao , Jorge Gil , Sonia Yeh , Rafael H.M. Pereira , Laura Alessandretti

{"title":"Socio-spatial segregation and human mobility: A review of empirical evidence","authors":"Yuan Liao , Jorge Gil , Sonia Yeh , Rafael H.M. Pereira , Laura Alessandretti","doi":"10.1016/j.compenvurbsys.2025.102250","DOIUrl":"10.1016/j.compenvurbsys.2025.102250","url":null,"abstract":"<div><div>Socio-spatial segregation is the physical separation of different social, economic, or demographic groups within a geographic space, often resulting in unequal access to resources, services, and opportunities. The literature has traditionally focused on residential segregation, examining how individuals' residential locations are distributed differently across neighborhoods based on various social attributes, e.g., race, ethnicity, and income. However, this approach overlooks the complexity of spatial segregation in people's daily activities, which often extend far beyond residential areas. Since the 2010s, emerging mobility data sources have enabled a new understanding of socio-spatial segregation by considering daily activities such as work, school, shopping, and leisure visits. From traditional surveys to GPS trajectories, diverse data sources reveal that daily mobility can result in spatial segregation levels that differ from those observed in residential segregation. This literature review focuses on three critical questions: (a) What are the strengths and limitations of segregation research incorporating extensive mobility data? (b) How do human mobility patterns relate to individuals' residential vs. experienced segregation levels? and (c) What key factors explain the relationship between one's mobility patterns and experienced segregation? Our literature review enhances the understanding of socio-spatial segregation at the individual level and clarifies core concepts and methodological challenges in the field. Our review explores studies of key themes: segregation, activity space, co-presence, and the built environment. By synthesizing their findings, we aim to offer actionable insights for reducing segregation.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"117 ","pages":"Article 102250"},"PeriodicalIF":7.1,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0