Urban Currents

2026-06-23

7 arXiv categories· 96 journals· 488 candidates — 18 worth your time· 26 without an open abstract

No headline

a quiet day in urban data science

Today, together

tag shift
interview on 3 items, against a 11-day average of 0.73
canon
no foundational work is cited twice today
coupling
An exploratory study of micro-regeneration in Shanghai through the lens of story arc shares 4 references with Blank checks and bailouts? A case study of Chicagoland’s public transit policy and framings (2026-06-14)
3 of them
  • Storytelling as Method in Spatial Planning
  • Planning as Persuasive Storytelling About the Future: Negotiating an Electric Power Rate Settlement in Illinois
  • Storytelling, a model of and a model for planning
; Integration of the Public Realm into the Urban Fabric for Sustainable Urbanism in Middle Eastern Cities: Sheraton Park in Doha, Qatar, as a Case Study shares 4 references with The Role of Large-Scale Developments in Defining Urban Image: The Case of Mina District, Doha, Qatar (2026-06-15)
3 of them
  • Rapid urban development and national master planning in Arab Gulf countries. Qatar as a case study
  • Souq Waqif Neighborhood as a Transit-Oriented Development
  • Toward Sustainable Urban Development in Doha: Implementation of Transit Villages through a Multiple-Layer Analysis
; Enhancing heatwave resilience in recreational public spaces: An operational tool from a Mediterranean Algerian urban context shares 3 references with Reimagining urban planning for disaster resilience and post-pandemic sustainability in South Africa (2026-06-13)
3 of them
  • Resilience and Stability of Ecological Systems
  • Resilience: A Bridging Concept or a Dead End?“Reframing” Resilience: Challenges for Planning Theory and PracticeInteracting Traps: Resilience Assessment of a Pasture Management System in Northern AfghanistanUrban Resilience: What Does it Mean in Planning Practice?Resilience as a Useful Concept for Climate Change Adaptation?The Politics of Resilience for Planning: A Cautionary Note
  • Defining urban resilience: A review
institutions
University of Hong Kong on 12 papers in 30 days; Tsinghua University on 11 papers in 30 days; Hong Kong Polytechnic University on 11 papers in 30 days; National University of Singapore on 8 papers in 30 days

Three papers carry the tag "Geographic Information Systems Studies," focusing on automated quality assessment of geospatial vector data, using individual GIS projects to build student self-efficacy, and standardising warnings and hazard maps in Germany's natural hazards portal. Another three papers are grouped under "Urban Green Space and Health," which estimate urban vertical greenery potential, enhance heatwave resilience in recreational public spaces, and integrate the public realm into the urban fabric of Middle Eastern cities. The tag "interview" also covers three of today's papers, which study the integration of the public realm in Doha, use individual GIS projects to build student self-efficacy, and examine vertical ethnoburbs in Melbourne. Outside these groups, one paper quantifies the ecological decline of an urban tropical wetland ecosystem in India using multi-temporal satellite imagery, another evaluates the spatial reasoning of large language models for the discrete p-median problem, and a third models crowd-shippers' behavioral decisions using a covariate-dependent choice model.

published: Discover Cities

S. Sarun, P. Vineetha
Discover Cities

Sree Sankaracharya University of Sanskrit

Flood Risk Assessment and Management · Urban Stormwater Management Solutions · Coastal wetland ecosystem dynamics · satellite imagery · Sree Sankaracharya University of Sanskrit · University of Kerala

Spatiotemporal analysis of the linkage between environmental degradation and flood susceptibility in an urban tropical wetland ecosystem

This study quantifies the ecological decline of the Akkulam-Veli wetland system in Thiruvananthapuram, India, from 1995 to 2023 using multi-temporal satellite imagery. The analysis reveals an 81% reduction in wetland area, shrinking from 12.78 to 2.38 square kilometers due to infrastructure and technology park expansions, alongside a drop in adjacent hillock elevations from 60 to 52 meters. Zone-wise regression analysis confirms a significant positive correlation between this wetland loss and flood overlap percentages, validated by severe inundation events in October 2023.

Why it matters — It provides empirical, long-term evidence linking specific local infrastructure projects and hillock excavation to the direct loss of natural retention basins and heightened urban flood susceptibility. This establishes a quantitative basis for shifting local urban planning from reactive disaster response to proactive, ecosystem-based 'Sponge City' frameworks.

Caveat: The regression analysis and flood validation are focused on a single wetland ecosystem in one tropical city, which may limit direct generalizability to other urban topographies.

Discover Cities · pdf · doi

published: Discover Cities

Aruscha Kramm, Isabel Holler, E. Peukert, et al.
Discover Cities

Center for Scalable Data Analytics and Artificial Intelligence

Urban Heat Island Mitigation · Urban Green Space and Health · Building Energy and Comfort Optimization · street view imagery · Center for Scalable Data Analytics and Artificial Intelligence · Leipzig University

Automated estimation of urban vertical greenery potential

The study introduces a computational method to evaluate the vertical greening potential of individual building walls by integrating Level of Detail 2 (LoD2) building data with street-view imagery. Applied to Leipzig, Germany, the model calculates key physical factors like wall orientation and Window-to-Wall Ratio (WWR) to generate a composite index that prioritizes surfaces capable of mitigating urban heat stress.

Why it matters — It provides urban planners with a automated, wall-by-wall screening tool to target climate adaptation interventions, moving beyond generalized neighborhood-scale assessments to identify specific, high-impact surfaces for green facades.

Caveat: The method's reliance on LoD2 building data and street-view imagery means its applicability and accuracy depend on the local availability and resolution of these specific spatial datasets.

Discover Cities · pdf · doi

published: Computers Environment and Urban Systems

Xin Feng, Yuanpei Cao
Computers Environment and Urban Systems

University of Oklahoma

Constraint Satisfaction and Optimization · Facility Location and Emergency Management · Mobile Crowdsensing and Crowdsourcing · University of Oklahoma · Machine Science

A benchmark of large language models for spatially informed proposal generation in local search for the p-median problem

This study evaluates the spatial reasoning of three frontier large language models (LLMs) by embedding them as proposal generators within a local search framework for the discrete p-median problem. Tested on six standard TSPLIB point sets across varying facility counts, the LLM-guided search was benchmarked against exact mixed-integer programming and five classical heuristics. The LLM-based approach consistently outperformed greedy baselines and achieved near-optimal solutions on small-to-medium instances while requiring orders of magnitude fewer objective evaluations than tabu search.

Why it matters — It demonstrates that contemporary LLMs possess intrinsic spatial reasoning capabilities that can be harnessed for facility-location optimization, establishing a baseline for hybrid optimization workflows that combine neural spatial intuition with exact external evaluation.

Caveat: While highly sample-efficient in the number of objective evaluations, the LLM-guided framework is constrained by high inference latency and still falls short of mature meta-heuristics in overall solution quality on larger problem instances.

Computers Environment and Urban Systems · doi

published: Sustainable Cities and Society

Lamia Kouras, Ouafida Bouallag-Azoui, Ayyoob Sharifi
Sustainable Cities and Society

École Polytechnique d'Architecture et d'Urbanisme

Urban Heat Island Mitigation · Climate Change and Health Impacts · Urban Green Space and Health · École Polytechnique d'Architecture et d'Urbanisme · United States Institute of Peace

Enhancing heatwave resilience in recreational public spaces: An operational tool from a Mediterranean Algerian urban context

The study introduces HResRPS, an operational tool designed to evaluate and improve heatwave resilience in recreational public spaces. Developed and tested in the Mediterranean city of Jijel, Algeria, the framework structures resilience across three phases, eight attribute clusters, and 22 operational indicators using deep learning-based semantic clustering and a multidisciplinary Delphi-AHP process.

Why it matters — It provides urban planners and designers with concrete reference values and a composite index to diagnose specific spatial weaknesses and integrate heat-resilience criteria directly into the early stages of new urban design projects.

Caveat: The tool's indicators and reference values are specifically calibrated for an Algerian Mediterranean urban context, which may limit its direct applicability to different climate zones or urban structures without recalibration.

Sustainable Cities and Society · doi

published: Travel Behaviour and Society

Dianqing Zhou, Soora Rasouli, Melvin Wong
Travel Behaviour and Society

Eindhoven University of Technology

Urban and Freight Transport Logistics · Economic and Environmental Valuation · Facility Location and Emergency Management · Eindhoven University of Technology

Modeling crowd-shippers’ decisions: a covariate-dependent choice model incorporating stated importance and certainty scores

This study estimates a covariate-dependent choice model using data from a stated choice experiment to analyze the behavioral determinants of crowd-shipping acceptance. The model incorporates socio-demographics, stated importance scores of task attributes, and respondent-reported certainty scores to capture decision heterogeneity. The analysis reveals that higher-income individuals are more sensitive to economic factors, gender differences influence privacy concerns, and accounting for choice certainty reduces the estimated magnitude of both barriers and incentives.

Why it matters — It demonstrates that incorporating self-reported certainty and attribute importance scores into choice models prevents the overestimation of how strongly incentives encourage or barriers discourage potential crowd-shippers, leading to more realistic behavioral predictions for logistics planning.

Caveat: The findings are based on a stated choice experiment rather than observed real-world crowd-shipping behavior, which may introduce hypothetical bias.

Travel Behaviour and Society · doi

published: Transportation Research Part A Policy and Practice

Jacques Renaud, Leandro C. Coelho, Quentin Marissiaux
Transportation Research Part A Policy and Practice

Université Laval

Power Line Communications and Noise · Advanced MIMO Systems Optimization · ICT Impact and Policies · Université Laval · GLS Industries (Canada)

How customer requirements impact the operational performance of LTL carriers

This study analyzed operational data from three major less-than-truckload carriers in Quebec, Canada, to measure how customer-imposed delivery time windows affect fleet efficiency. The analysis shows that current operations run close to optimal with empty mileage rates between 4.4% and 11.2% under existing constraints. Relaxing these constraints to two-hour windows would reduce mileage by 4.2% to 10.2%, while removing them entirely would yield savings of 7.8% to 13.4% on average, and up to 42.5% on specific routes.

Why it matters — It quantifies the direct environmental and operational costs of strict delivery windows, demonstrating that customer-imposed constraints—rather than dispatcher inefficiency—are a primary driver of excess mileage, fuel consumption, and emissions. Additionally, it reveals that while human dispatchers excel at optimizing individual routes, current transportation management systems still fail to achieve the 23.3% to 30% savings possible through global, multi-route optimization.

Caveat: The findings are based on data from three carriers within a single Canadian province, which may reflect regional logistics patterns and density levels that do not generalize globally.

Transportation Research Part A Policy and Practice · doi

published: Transportation Research Part B Methodological

Anton J. Kleywegt, Xinyu Liu
Transportation Research Part B Methodological

Georgia Institute of Technology

Advanced Manufacturing and Logistics Optimization · Georgia Institute of Technology

Passenger pickup and drop-off facilities: Throughput capacity evaluation

This study develops stochastic models, including renewal-reward processes and continuous-time Markov chains, to calculate the throughput capacities of passenger pickup and drop-off facilities while accounting for delays from conflicting vehicle movements. It also introduces a continuous-time Markov decision process to optimize operational policies and validates these analytical models using a microscopic trajectory-based discrete-event simulation.

Why it matters — It provides a mathematical framework to evaluate and compare different facility layouts and operational policies, offering a systematic way to design high-capacity alternatives to traditional curbside operations as demand from ride-hailing and autonomous vehicles grows.

Caveat: The models are validated against a microscopic simulation rather than empirical, real-world traffic data from active pickup and drop-off facilities.

Transportation Research Part B Methodological · doi

published: Transportation Research Interdisciplinary Perspectives

Farnaz Kaviari, Karl Kim, Eric Yamashita
Transportation Research Interdisciplinary Perspectives

COVID-19 epidemiological studies · Urban Transport and Accessibility · Evacuation and Crowd Dynamics · agent-based model

Simulating the spatial spread and containment of a pandemic in a multimodal tourism district using agent-based modeling

An agent-based model was developed to simulate COVID-19 transmission and containment among pedestrians, motorists, and transit users in the high-density resort district of Waikiki, Hawaii. Using high-resolution built-environment data, the model evaluated several intervention scenarios and was validated against historical case data with an R2 of 0.864. The simulation revealed that enhanced contact tracing was the most effective strategy, cutting cumulative cases by 18.9% and community transmission by 44%, while a low-mask scenario increased overall cases by 4.8%.

Why it matters — The model demonstrates that in high-mobility tourism districts, rapid case identification and isolation remain critical for containment, as even high vaccination rates alone do not fully halt transmission.

Caveat: The simulation and its specific intervention outcomes are calibrated to and evaluated within a single, highly specialized resort district.

Transportation Research Interdisciplinary Perspectives · doi

published: Journal of Urban Planning and Development

Raffaello Furlan, Fares Al Momani, Tagwa A. A. Osman, et al.
Journal of Urban Planning and Development

Qatar University

Urban Green Space and Health · Urban Transport and Accessibility · Urban Design and Spatial Analysis · interview · Qatar University

Integration of the Public Realm into the Urban Fabric for Sustainable Urbanism in Middle Eastern Cities: Sheraton Park in Doha, Qatar, as a Case Study

This study evaluates the spatial integration and accessibility of Sheraton Park in Doha, Qatar, using a qualitative framework that combines visual documentation, systematic on-site observations, user surveys, focus group discussions, and semi-structured interviews. The analysis identifies two critical deficits: poor pedestrian accessibility from the adjacent West Bay Business District and isolated connectivity with other municipal parks. To address these gaps, the study outlines a planning framework for landscaped pedestrian and cycling corridors designed at both neighborhood and citywide scales.

Why it matters — It provides empirical evidence of how rapid, auto-centric development in a Middle Eastern metropolis isolates major public green spaces, offering a context-sensitive model to transition these spaces from isolated ornamental parks into connected, active transit corridors.

Caveat: The findings and proposed framework are based on a qualitative case study of a single park in Doha, which may limit direct applicability to cities with different planning histories or climates.

Journal of Urban Planning and Development · doi

published: Journal of Geography in Higher Education

Duncan Whyatt, Gordon L. Clark, Kirsty J. Forber
Journal of Geography in Higher Education

Lancaster University

Geography Education and Pedagogy · Science Education and Pedagogy · Geographic Information Systems Studies · interview · Lancaster University

Using individual GIS projects to build students’ self-efficacy: an empirical and theoretical study

This study evaluates how individual GIS projects affect student self-confidence and resilience using a mixed-methods approach. The researchers conducted two linked online surveys before and after the projects alongside a series of one-to-one, semi-structured interviews to measure confidence in translating real-world problems into GIS and utilizing online help. The findings show that while most students experienced a significant increase in confidence after completing their projects, the specific areas and degrees of improvement varied widely among individuals.

Why it matters — It demonstrates that independent project-based learning combined with online troubleshooting resources builds student resilience, while cautioning educators that self-efficacy gains are highly individualized rather than uniform.

Caveat: The study relies on self-reported survey and interview data from a specific, unspecified student cohort rather than objective performance metrics.

Journal of Geography in Higher Education · pdf · doi

published: Journal of Urban Affairs

Vincent A. Fusaro, Christopher Baidoo, K. Megan Collier, et al.
Journal of Urban Affairs

Boston College

Urban, Neighborhood, and Segregation Studies · Housing Market and Economics · Housing, Finance, and Neoliberalism · United States · Boston College

State policy variation and emergency rental assistance take-up during the COVID-19 pandemic

This study merged household microdata from the U.S. Census Bureau's Household Pulse Survey with state-level Emergency Rental Assistance (ERA) program data to analyze how policy variations influenced program participation. Using sequential logit models, it tracked renter households through the application, decision, and receipt stages of the $47 billion federal program. The analysis found that policies designed to lower administrative burdens, such as allowing self-attestation or using proxy documentation, significantly increased the likelihood of low-income households applying for and receiving financial aid.

Why it matters — It demonstrates that reducing administrative barriers and prioritizing vulnerable groups directly increases the take-up of emergency social safety net benefits, providing empirical evidence to guide the design of post-pandemic housing assistance programs.

Caveat: The study relies on self-reported household data from the Household Pulse Survey to measure program participation stages rather than administrative registry data from the ERA programs themselves.

Journal of Urban Affairs · doi

published: Journal of Urban Affairs

Jingyi Zhu
Journal of Urban Affairs

University of Glasgow

Advanced Technologies in Various Fields · Sustainable Building Design and Assessment · Urban and Rural Development Challenges · Shanghai · University of Glasgow

An exploratory study of micro-regeneration in Shanghai through the lens of story arc

This study analyzes a collection of newspaper reports on micro-regeneration projects in Shanghai using a narrative story arc framework. It identifies the structural elements of these media narratives to evaluate how different actor groups are portrayed as participating in and influencing the planning processes and outcomes.

Why it matters — It reveals how media narratives construct a story of 'constructive contestation,' showing how reports of local tensions are rhetorically used to emphasize consensus and collaboration as the dominant ethos of modern Chinese urban renewal.

Caveat: The study relies entirely on media representations in newspaper reports rather than direct observations of the regeneration projects or interviews with the actual participants.

Journal of Urban Affairs · pdf · doi

published: Journal of Urban Affairs

Weijie Hu, Tina Ghaznavi
Journal of Urban Affairs

Swinburne University of Technology

Urban Planning and Governance · Urban, Neighborhood, and Segregation Studies · Migration, Aging, and Tourism Studies · interview · census data · Melbourne

Vertical ethnoburbs in Melbourne, Australia: Apartment living, presales finance, and settlement services

This study conceptualizes the rapid transformation of Box Hill, a suburban center in Melbourne with a large Chinese-born population, into a 'vertical ethnoburb' characterized by high-rise housing, transit, and migrant services concentrated in a single walkable district. Using Australian census data, planning documents, site mapping, field observations, and 45 semi-structured interviews, the research analyzes how this high-rise cluster emerged through the alignment of planning controls, presales construction finance, and dense settlement services.

Why it matters — It demonstrates that suburban high-rise development in migrant hubs is not driven solely by planning permissions or migrant demand, but rather by a co-dependent system of presales finance and localized settlement services that support everyday vertical living.

Caveat: The findings are based on a single suburban center in Melbourne, which may limit generalizability to other metropolitan contexts with different planning and migration dynamics.

Journal of Urban Affairs · doi

published: International Journal of Sustainable Transportation

Laura Soares, Hao Wang, Warren J. Berry, et al.
International Journal of Sustainable Transportation

Rutgers Sexual and Reproductive Health and Rights

Electric Vehicles and Infrastructure · Advanced Battery Technologies Research · Electric and Hybrid Vehicle Technologies · Rutgers Sexual and Reproductive Health and Rights · Metro Transit

Life cycle cost analysis and environmental assessment of battery electric bus charging strategy: Case study in New Jersey

This study models the transition of a New Jersey Transit bus garage to battery electric buses by analyzing four charging scenarios: depot charging with an expanded fleet, and three opportunity charging methods (fast plug-in, wireless, and pantograph). Using a regression model of power consumption based on temperature and speed, the researchers conducted life cycle cost and environmental assessments to measure cumulative net present value, energy demand, and greenhouse gas emissions.

Why it matters — It demonstrates that fast plug-in opportunity charging is the most economically and environmentally sustainable strategy because mid-route charging reduces the required battery size and avoids the need to purchase additional buses.

Caveat: The findings are based on a single bus garage with specific interstate routes, and the operational and scheduling differences of other locations limit the direct transferability of these specific results.

International Journal of Sustainable Transportation · doi

published: International Journal of Cartography

Bodo Erhardt, Katharina Lengfeld, Ewelina Walawender, et al.
International Journal of Cartography

Deutscher Wetterdienst

Disaster Management and Resilience · Geographic Information Systems Studies · Risk Perception and Management · Deutscher Wetterdienst

From information to action: standardising and harmonising warnings and hazard maps in Germany’s natural hazards portal (Naturgefahrenportal, NGP) for effective public communication

This paper presents the conceptual and technical framework of Germany's Natural Hazards Portal (Naturgefahrenportal, NGP), a platform designed to consolidate and standardise fragmented hazard warnings and maps from various federal and state authorities. The system harmonises warning levels, terminology, and colour codes into a unified visual interface to resolve inconsistencies across different agency outputs.

Why it matters — It establishes a unified national communication standard for multi-hazard warnings, replacing a fragmented system of agency-specific portals that confused the public and hindered rapid, accurate emergency responses.

Caveat: The paper focuses on the conceptual and technical design of the portal rather than empirical testing of its effectiveness on public behavior during an actual disaster.

International Journal of Cartography · doi

datapreprint

Hao Li, Chen Chu, Filip Biljecki, et al.
arXiv cs.CV

Geographic Information Systems Studies · Automated Road and Building Extraction · Urban Design and Spatial Analysis · building footprints · Los Angeles · Singapore

Automated Quality Assessment of Geospatial Vector Data: A GeoAI Approach using Spatial Representation Learning

The researchers developed Topo4Vec, a GeoAI framework that automates geospatial vector data quality assessment using spatial representation learning. The model bypasses manual annotation by simulating topological errors, such as overlapping polygons and street network overshoots or undershoots, and was evaluated across Los Angeles, Munich, and Singapore. It achieved a peak detection accuracy of 0.99 for overlapping building footprints and 0.60 for street network connectivity errors.

Why it matters — It replaces labor-intensive, rule-based quality checks with an automated system capable of isolating complex topological errors in native vector geometries across diverse urban morphologies.

Caveat: While highly accurate at detecting overlapping building polygons, the framework's performance is notably lower when identifying street network connectivity errors like overshoots and undershoots.

arXiv · pdf

preprint

Dane M. Utley, Jürgen Hackl
arXiv physics.soc-ph

Diverse Aspects of Tourism Research · Media, Gender, and Advertising · Spatial Cognition and Navigation · clustering

Do Waders, Swimmers, and Divers Exist? A GPS-Based Pilot Study of Site-Dependent Visitor Movement in Theme Parks

This study analyzed individual-level GPS tracking data and exit surveys from volunteers visiting multiple theme parks operated by different chains. Visitors were grouped within each site using a multi-criteria validation protocol to extract movement features, which were then compared against self-reported behaviors and simulated using a complementary agent-based model.

Why it matters — The findings demonstrate that common industry behavioral typologies do not transfer across different locations, as the relationships among movement features reverse from site to site. This establishes that pedestrian simulation parameters must be calibrated to specific local contexts rather than assumed to be universal.

Caveat: The study relies on a volunteer sample and a pilot-scale dataset, which may limit the immediate generalizability of the specific visitor segments identified.

arXiv · pdf

preprint

Abdelkader Dairi, Fouzi Harrou, Ying Sun
arXiv cs.LG

graph neural network

Auto-Configured Explainable Graph Neural Networks for Multi-Site Pollution Prediction

This study develops a dynamic graph construction method using a supervised learning confusion matrix to capture spatial relationships, paired with a hybrid loss function combining energy distance and Huber loss. The framework was evaluated on PM1, PM2.5, and PM10 sensor data from the AirU Pollution Monitoring Network in Salt Lake City, Utah, comparing five Graph Neural Network architectures (GCN, SGConv, GIN, GAT, and GraphSage) alongside GNNExplainer and PGExplainer for model interpretability.

Why it matters — It demonstrates that GraphSage outperforms traditional machine learning and deep learning baselines like Prophet, LSTM, and GRU for multi-step air quality forecasting, while providing a self-configuring graph structure that removes the need for manually predefined spatial relationships.

Caveat: The evaluation and model performance are demonstrated using sensor data from only a single urban monitoring network in Salt Lake City.

arXiv · pdf · doi

Still cited

Reid Ewing, Robert Cervero (2010), Travel and the Built Environment 1 of today's items cite it · 103 of 4454 in the archive stand on it

Also published today

These appeared today in journals we track. Their abstracts are not openly available, so we cannot summarise them.