Computers Environment and Urban Systems最新文献_第2页

Designing and testing microtransit routes to improve social inclusion: A pilot study in a suburban area 设计和测试微交通路线以提高社会包容性：郊区的试点研究

IF 8.3 1区地球科学

Computers Environment and Urban Systems Pub Date : 2026-04-01 Epub Date: 2025-12-23 DOI: 10.1016/j.compenvurbsys.2025.102394

Alessandro Emilio Capodici , Martina Citrano , Gabriele D'Orso , Marco Migliore , Leonardo Minaudo , Riccardo D'Angelo

{"title":"Designing and testing microtransit routes to improve social inclusion: A pilot study in a suburban area","authors":"Alessandro Emilio Capodici , Martina Citrano , Gabriele D'Orso , Marco Migliore , Leonardo Minaudo , Riccardo D'Angelo","doi":"10.1016/j.compenvurbsys.2025.102394","DOIUrl":"10.1016/j.compenvurbsys.2025.102394","url":null,"abstract":"<div><div>Suburbs are often characterized by a scarcity of mobility options to access services. Introducing microtransit is a promising way to improve public transport in suburbs, ensuring greater social inclusion and connecting isolated areas to main transit hubs. The paper aims to develop a multi-step GIS-based methodology for designing semi-flexible stop-based microtransit, having fixed routes and flexible routes (detours) and operating with real-time ride bookings (zero lead time). We considered a suburban area in Palermo, Italy, as study area. The identification of fixed and flexible routes was based on the forecasted passenger flows, through the estimate and the assignment of the daily origin-destination matrix for microtransit, also considering safety, spatial, and technical constraints. A small-scale pilot was carried out between November and December 2022 to test microtransit routes and the reliability of a mobile application to operate the service. A customer satisfaction and a willingness-to-pay survey were addressed to the users. The small-scale pilot showed that microtransit could improve public transportation in suburbs, being more accessible and reducing waiting times at stops. Particularly, the result of the design process led to a semi-flexible service accessible by 90 % of the resident population and with waiting times of less than 15 min in 76 % of the rides, lower than those currently experienced by bus users (20 min).</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"125 ","pages":"Article 102394"},"PeriodicalIF":8.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145841518","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

Geodemographics and residential differentiation: A methodological review and future directions for learned representations of the social landscape 地理人口统计学与居住差异：社会景观表征的方法论回顾与未来方向

IF 8.3 1区地球科学

Computers Environment and Urban Systems Pub Date : 2026-04-01 Epub Date: 2026-01-07 DOI: 10.1016/j.compenvurbsys.2025.102396

Alex Singleton , Seth E. Spielman

{"title":"Geodemographics and residential differentiation: A methodological review and future directions for learned representations of the social landscape","authors":"Alex Singleton , Seth E. Spielman","doi":"10.1016/j.compenvurbsys.2025.102396","DOIUrl":"10.1016/j.compenvurbsys.2025.102396","url":null,"abstract":"<div><div>Residential differentiation reflects the complex patterns by which social groups distribute themselves across urban spaces, fundamentally shaping social, economic, and spatial structures. This paper reviews the methodological development of geodemographic classification, tracing its evolution from early social area analysis and factorial ecology through to contemporary approaches. We critically evaluate this lineage of methods for quantifying residential patterns, and identifying persistent limitations in capturing the non-linear complexities of contemporary urban environments. Building on this review, we explore potential future directions involving learned representations of the social landscape, which may offer alternatives to traditional linear dimensionality reduction techniques. Drawing on recent empirical work applying deep learning to geodemographic classification, we consider how such approaches might address identified limitations while acknowledging that their advantages over established methods remain context-dependent and require further empirical validation. We emphasise that any adoption of these techniques must prioritise transparency and interpretability. The paper concludes by outlining potential directions for future research, including how learned representations might be integrated within existing geodemographic workflows.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"125 ","pages":"Article 102396"},"PeriodicalIF":8.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145926313","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

Estimating road speed classes: Integrating OpenStreetMap and Street View imagery for missing data imputation 估计道路速度等级：整合OpenStreetMap和街景图像用于缺失数据的输入

IF 8.3 1区地球科学

Computers Environment and Urban Systems Pub Date : 2026-04-01 Epub Date: 2025-12-17 DOI: 10.1016/j.compenvurbsys.2025.102392

Shiyu Tang , Sukanya Randhawa , Jin Rui , Christina Ludwig , Steffen Knoblauch , Charles Hatfield , Alexander Zipf

{"title":"Estimating road speed classes: Integrating OpenStreetMap and Street View imagery for missing data imputation","authors":"Shiyu Tang , Sukanya Randhawa , Jin Rui , Christina Ludwig , Steffen Knoblauch , Charles Hatfield , Alexander Zipf","doi":"10.1016/j.compenvurbsys.2025.102392","DOIUrl":"10.1016/j.compenvurbsys.2025.102392","url":null,"abstract":"<div><div>Traffic speed is a significant indicator for evaluating road network performance and supporting intelligent transportation systems, as it informs congestion management, routing, and operational decisions. Although traffic information is available from commercial platforms and sensor-based monitoring systems, such data are often costly, proprietary, or spatially limited, which restricts their broader usability. To overcome these limitations, we designed a spatial prediction model based on the Graph Sample and Aggregation (GraphSAGE) to infer traffic speeds in unobserved areas. Instead of predicting continuous speed values, we classified traffic into speed classes, which enhanced model robustness in the absence of historical observations and better reflected long-term typical traffic patterns relevant to downstream applications such as routing, emission assessment, and traffic management. Taking Berlin as a case study, the model incorporated multi-source features, including topological features, OpenStreetMap-based road features, and semantic Street View imagery indicators. Uber Movement average speed data were used as supervised learning labels. Results showed that the multi-source feature fusion improved the prediction performance, with the F1 score increasing from 0.6228 to 0.6917. Feature analysis revealed that OSM contextual features contributed the most under limited label coverage, while Street View imagery added complementary information to facilitate model discrimination. Despite only 28 % of road segments being covered by Uber observations, similar feature patterns between labeled and unlabeled areas enabled the model to generalize and infer missing speed data citywide. The framework makes scalable and low-cost speed class inference available for urban traffic monitoring and modeling.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"125 ","pages":"Article 102392"},"PeriodicalIF":8.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791515","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

Impacts of spatial resolution on agent-based transportation simulations with shared autonomous vehicles 空间分辨率对基于智能体的共享自动驾驶交通模拟的影响

IF 8.3 1区地球科学

Computers Environment and Urban Systems Pub Date : 2026-03-01 Epub Date: 2025-11-27 DOI: 10.1016/j.compenvurbsys.2025.102371

Kentaro Mori , Fatemeh Fakhrmoosavi , Krishna Murthy Gurumurthy , Pedro Camargo , Kara M. Kockelman

{"title":"Impacts of spatial resolution on agent-based transportation simulations with shared autonomous vehicles","authors":"Kentaro Mori , Fatemeh Fakhrmoosavi , Krishna Murthy Gurumurthy , Pedro Camargo , Kara M. Kockelman","doi":"10.1016/j.compenvurbsys.2025.102371","DOIUrl":"10.1016/j.compenvurbsys.2025.102371","url":null,"abstract":"<div><div>Agent-based transportation models have been used to simulate shared autonomous vehicle (SAV) fleet operations, enabling a growing understanding of SAVs' operations, impacts, and opportunities. This paper investigates the issue of spatial resolution, since most studies have been conducted on coarsened networks, with many missing links and with aggregated addresses for trip origins and destinations. This work presents simulation results for dynamic traffic assignment with SAV fleet operations in Austin, Texas, comparing outcomes across two networks and two sets of addresses for trip ends in the region's six counties. The comparison involves the Capital Area Metropolitan Planning Organization's (CAMPO's) planning network with addresses highly aggregated (census block centroids supplemented with business establishment information), versus OpenStreetMap's (OSM's) real network with actual addresses sourced from OpenAddresses. CAMPO's network contains 40.6 % of the OSM lane-miles, while the aggregated address points are highly concentrated in the urban core and represent 23 actual addresses on average. Agent-based simulation results using the POLARIS model suggest that omitting a large share of collector and residential links significantly affects network flows, increasing VMT and VHT along non-expressway arterials by 18.9 % and 10.4 %, respectively, for the case of Austin. By contrast, address aggregation (at least at the level implemented in this study) has little impact on traffic. SAVs benefit from increased network connectivity and alternative routes in the complete network to reduce passenger pickup distances and ridepooling detours, lowering VMT by 10 % per SAV—nearly five times the reduction seen in network-wide VMT—and empty VMT (%eVMT) by 2.5 to 3.5 percentage points.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"124 ","pages":"Article 102371"},"PeriodicalIF":8.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145624519","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

Generative AI for spatial regeneration planning: Integrating urban planning theories and ethics 生成式人工智能在空间再生规划中的应用：城市规划理论与伦理的融合

IF 8.3 1区地球科学

Computers Environment and Urban Systems Pub Date : 2026-03-01 Epub Date: 2025-11-24 DOI: 10.1016/j.compenvurbsys.2025.102380

Yan Wang , Yanjie Fu , Ward Lyles

{"title":"Generative AI for spatial regeneration planning: Integrating urban planning theories and ethics","authors":"Yan Wang , Yanjie Fu , Ward Lyles","doi":"10.1016/j.compenvurbsys.2025.102380","DOIUrl":"10.1016/j.compenvurbsys.2025.102380","url":null,"abstract":"<div><div>Generative Artificial Intelligence (GenAI) is rapidly emerging as a promising tool for urban planning, particularly spatial regeneration planning (SRP) aimed at ongoing redevelopment in urban areas. Driven by increasing availability of urban spatial data and a strong interest in technological innovation, GenAI models can generate diverse, context-sensitive planning scenarios beyond the limits of conventional approaches. However, the application of GenAI to SRP also raises pressing concerns: Are planning problems appropriately defined and rigorously modeled? How closely do model design and data processing align with established planning theories and ethics? What strategies can mitigate the risk of perpetuating spatial disadvantages embedded in historical data? How do we meaningfully evaluate GenAI's real-world impact? And how can GenAI be governed to ensure equity, transparency, and meaningful collaboration among all planning stakeholders? This Review critically assesses the intersection of SRP theories and GenAI, identifying key vulnerabilities along the modeling process, from problem formulation and data selection to model training, evaluation, and governance. We propose key technical pathways for developing GenAI-based SRP that are grounded in planning theories and ethics, aiming to advance both the rigor and societal relevance of spatial planning research for sustainable, smart, and resilient cities.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"124 ","pages":"Article 102380"},"PeriodicalIF":8.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145624521","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

Leveraging sidewalk robots for walkability-related analyses 利用人行道机器人进行与步行相关的分析

IF 8.3 1区地球科学

Computers Environment and Urban Systems Pub Date : 2026-03-01 Epub Date: 2025-11-24 DOI: 10.1016/j.compenvurbsys.2025.102381

Xing Tong , Michele D. Simoni , Kaj Munhoz Arfvidsson , Jonas Mårtensson

{"title":"Leveraging sidewalk robots for walkability-related analyses","authors":"Xing Tong , Michele D. Simoni , Kaj Munhoz Arfvidsson , Jonas Mårtensson","doi":"10.1016/j.compenvurbsys.2025.102381","DOIUrl":"10.1016/j.compenvurbsys.2025.102381","url":null,"abstract":"<div><div>Walkability is a key component of sustainable urban development. In walkability studies, collecting detailed pedestrian infrastructure data remains challenging due to the high costs and limited scalability of traditional methods. Sidewalk delivery robots, increasingly deployed in urban environments, offer a promising solution to these limitations. This paper explores how these robots can serve as mobile data collection platforms, capturing sidewalk-level features related to walkability in a scalable, automated, and real-time manner. A sensor-equipped robot was deployed on a sidewalk network at KTH in Stockholm, completing 101 trips covering 900 segment records. From the collected data, different typologies of features are derived, including robot trip characteristics (e.g., speed, duration), sidewalk conditions (e.g., width, surface unevenness), and sidewalk utilization (e.g., pedestrian density). Their walkability-related implications were investigated with a series of analyses. The results demonstrate that pedestrian movement patterns are strongly influenced by sidewalk characteristics, with higher density, reduced width, and surface irregularity associated with slower and more variable trajectories. Notably, robot speed closely mirrors pedestrian behavior, highlighting its potential as a proxy for assessing pedestrian dynamics. The proposed framework enables continuous monitoring of sidewalk conditions and pedestrian behavior, contributing to the development of more walkable, inclusive, and responsive urban environments.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"124 ","pages":"Article 102381"},"PeriodicalIF":8.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145624520","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

Detecting uneven impacts of rental housing financialisation and platformisation on neighbourhoods in China: A multi-source data mining approach 中国租赁住房金融化和平台化对社区的不均衡影响：一种多源数据挖掘方法

IF 8.3 1区地球科学

Computers Environment and Urban Systems Pub Date : 2026-03-01 Epub Date: 2025-11-15 DOI: 10.1016/j.compenvurbsys.2025.102369

Zixin Luo , Mengzhu Zhang , Dongwei Liu , Juan Li , Anthony G.O. Yeh

{"title":"Detecting uneven impacts of rental housing financialisation and platformisation on neighbourhoods in China: A multi-source data mining approach","authors":"Zixin Luo , Mengzhu Zhang , Dongwei Liu , Juan Li , Anthony G.O. Yeh","doi":"10.1016/j.compenvurbsys.2025.102369","DOIUrl":"10.1016/j.compenvurbsys.2025.102369","url":null,"abstract":"<div><div>The rapid financialisation and platformisation of rental housing (FPR) have been examined as a major factor for neighbourhood changes worldwide after the 2010s. Studies have revealed the appreciation and disamenity effects with which the financialisation and platformisation reshape neighbourhoods, whereas the uneven impacts of the variegated FPR on neighbourhoods remain insufficiently understood. Therefore, this study fills this gap by the evidence from 6645 neighbourhoods in five Chinese cities to detect the uneven impacts of FPR on neighbourhoods and excavate those vulnerable communities. Leveraging geographically weighted regression, computer vision analysis on street view images and SOFM-based clustering analysis, this study reveals that (1) the appreciation effects widely spread across the cities, particularly in the new urban areas in Suzhou, the suburban areas in Shenzhen and the central city in Shanghai. Conversely, the disamenity effects are more severe in suburban areas in Shenzhen and Beijing than other cities due to the large number of urban villages and dilapidated buildings there; (2) type-C neighbourhoods featuring old low-rise buildings with local elderly populations is least affected by FPR (both appreciation and disamenity). By contrast, type-D neighbourhoods encompassing a large number of migrant workers in the suburbs are most susceptible to FPR. This study introduces the housing market segmentation theory to understand FPR'S effect on neighbourhood segregation and provides policy implications for niche and means to mitigate the negative externalities of FPR</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"124 ","pages":"Article 102369"},"PeriodicalIF":8.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145528120","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

A critical assessment of selected urban resilience decision-support tools in the United States 对美国选定的城市弹性决策支持工具的关键评估

IF 8.3 1区地球科学

Computers Environment and Urban Systems Pub Date : 2026-01-01 Epub Date: 2025-10-22 DOI: 10.1016/j.compenvurbsys.2025.102352

Sarbeswar Praharaj

{"title":"A critical assessment of selected urban resilience decision-support tools in the United States","authors":"Sarbeswar Praharaj","doi":"10.1016/j.compenvurbsys.2025.102352","DOIUrl":"10.1016/j.compenvurbsys.2025.102352","url":null,"abstract":"<div><div>The concept of resilience has gained increasing prominence in research and policy discussions. Various web-based data visualization tools have been developed to communicate hazard risks and make complex climate models more accessible to the community. This article presents a comprehensive assessment of 30 selected resilience tools across the U.S. to examine their decision-support capabilities. We conducted an extensive search to shortlist tools from diverse sectors, including public, private, non-profit, and academic organizations, addressing different hazard contexts, such as floods, heatwaves, wildfires, storms, infrastructure failures, and land degradation. We designed and applied a broad-based analytical framework to assess the tools' performance, encompassing the comprehensiveness of indicator systems, robustness of design and visual communication, scenario planning to handle uncertainties, participatory and interactive approaches, and decision-support and action-enabling characteristics. Several notable findings emerge from this study: (a) resilience tools overwhelmingly include environmental datasets while overlooking social and institutional dimensions, necessary to capture the complexity of urban systems; (b) minimal integration of city and neighborhood level information poses barriers to localized assessments and adaptation planning; (c) while the tools effectively communicate vulnerability, future innovations in scenario-based planning utilizing AI, real-time data, and predictive modeling capabilities are needed to plan for a dynamic and uncertain future; and (d) these tools must foster an interoperable design for users to combine new data layers to adjust their resilience assessments to local contexts. This study outlines future research and development avenues, providing resilience planners and decision-makers with a strategic foresight to enhance computer-based applications for assessing, planning, and managing disaster risks to human and urban systems.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"123 ","pages":"Article 102352"},"PeriodicalIF":8.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145365250","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

A hierarchical cross-departmental agent-based approach to explore the impacts of policy interplay on land use dynamics 以分层跨部门代理为基础的方法探讨政策相互作用对土地使用动态的影响

IF 8.3 1区地球科学

Computers Environment and Urban Systems Pub Date : 2026-01-01 Epub Date: 2025-10-14 DOI: 10.1016/j.compenvurbsys.2025.102355

Jing Gao , Jian Gong , Nina Schwarz , Richard Sliuzas

{"title":"A hierarchical cross-departmental agent-based approach to explore the impacts of policy interplay on land use dynamics","authors":"Jing Gao , Jian Gong , Nina Schwarz , Richard Sliuzas","doi":"10.1016/j.compenvurbsys.2025.102355","DOIUrl":"10.1016/j.compenvurbsys.2025.102355","url":null,"abstract":"<div><div>Understanding the interactions between competing land policies is crucial for identifying governance challenges and assisting urban planners and policy analysts in making informed decisions. However, a methodology for incorporating land use patterns and the policy implementation processes within the framework of hierarchical land management remains underexplored. Here, we employ an agent-based model (ABM) to investigate how land use change occurs as policies intersect across different hierarchical levels and branches of government in Wuhan, China. Changes in land use arise from the interplay between five agents—the central level, the local level that incorporates three departments, and the village collective level—in the decisions on land acquisition, conversion, and reclamation. Four parameters characterize the enforcement levels of relevant policies, and multi-objective optimization with genetic algorithms was applied to calibrate them. The results show that: (1) Our ABM exhibits a figure of merit value of 0.3 at the city level and 0.58 in the larger urban area, indicating its capability to simulate real land use dynamics. (2) Policy implementation gaps led to high land conversion and low farmland reclamation. (3) The dynamic enforcement scenarios provide a viable pathway for negotiated governance, enabling demand-responsive rate attenuation and conflict mitigation, which is distinct from the exacerbated land use conflicts observed under the other scenarios. (4) Policy should incorporate adaptive mechanisms to maintain a buffer between competing land demands rather than binary constraints. This ABM introduces a novel hierarchical framework to decode policy interplay and implementation tensions, advancing sustainable land governance and urban planning insights.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"123 ","pages":"Article 102355"},"PeriodicalIF":8.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145322867","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

City identity recognition: how representation bias influences model predictability and replicability? 城市身份识别：表征偏差如何影响模型的可预测性和可复制性？

IF 8.3 1区地球科学

Computers Environment and Urban Systems Pub Date : 2026-01-01 Epub Date: 2025-11-11 DOI: 10.1016/j.compenvurbsys.2025.102370

Xiang Zhang , Fan Yang , Zongze He , Weijia Li , Min Yang

{"title":"City identity recognition: how representation bias influences model predictability and replicability?","authors":"Xiang Zhang , Fan Yang , Zongze He , Weijia Li , Min Yang","doi":"10.1016/j.compenvurbsys.2025.102370","DOIUrl":"10.1016/j.compenvurbsys.2025.102370","url":null,"abstract":"<div><div>Street-view images (SVIs) and social media photos have been widely used with deep learning in urban perception (e.g., predicting socioeconomic variables, recognizing city identities, and geolocalization). However, different data sources and sampling schemes are arbitrarily used in existing studies, and the induced representation bias that can drastically alter model predictions has long been overlooked. To bridge this gap, we systematically evaluate how different biases influence model predictability and replicability using city identity recognition (CIR), a task to understand the unique characters of cities and to recognize their identities from photos. The task was implemented by firstly extracting features with a model pretrained on a general scene recognition task, and secondly training city classifiers with the extracted features. We answer the research question by carefully designed experiments, where factors like intrinsic similarity between cities, data sources, camera perspectives, and spatial sampling are examined. In general, we show that recognizing cities from photos was not equally replicable across the world: intra-country CIR was more challenging than inter-country CIR. Contrast to common wisdom, the claimed advantages of social media photos in indoor and social scenarios were not effective on CIR and were largely surpassed by SVIs. For SVIs, perspectives along streets surprisingly better capture the uniqueness of a city than looking at building facades; biased spatial sampling can even overturn model predictions (e.g., rankings of city uniqueness). Finally, we explore the data diversity by projecting the learned representations into a low-dimensional semantic space, and critically discuss our results and implications.</div></div>","PeriodicalId":48241,"journal":{"name":"Computers Environment and Urban Systems","volume":"123 ","pages":"Article 102370"},"PeriodicalIF":8.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520364","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