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    <title>Transport Research International Documentation (TRID)</title>
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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
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    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>Transport Research International Documentation (TRID)</title>
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    <item>
      <title>Unequal pathways: Mobility, socioeconomic status, and the stratification of concurrent environmental exposures</title>
      <link>https://trid.trb.org/View/2681873</link>
      <description><![CDATA[Urban residents are simultaneously exposed to a complex mix of environmental factors, including risks like air pollution and noise, and benefits like green spaces. Previous research often neglects the dynamics of human mobility and co-exposures, relying on static, residence-based assessments. This study investigates how daily mobility shapes simultaneous exposures to fine particulate matter (PM₂.₅), noise, and green space, and how these relationships are stratified by socioeconomic status (SES). Using high-resolution GPS and mobile sensing data from 800 participants in Hong Kong, we analyzed the complex interactions among mobility, SES, and composite environmental exposures. Our findings reveal mobility is a double-edged sword: while increasing noise exposure, it can reduce PM₂.₅ and enhance green space exposure. Crucially, these consequences are not uniform, creating systematically differentiated environmental experiences among social groups. This supports the theory of “asymmetrical between-individual dispersion,” where exposures are not random but follow predictable, socially stratified patterns. For instance, long-distance mobility improves environmental quality for high-income and unemployed individuals but is associated with poorer outcomes for middle-income commuters and students from the same affluent neighborhoods. These results highlight the inadequacy of traditional approaches, demonstrating that neither focusing solely on residential environments nor simply promoting mobility can solve environmental inequity. Instead, effective policies must address the unique mobility constraints of different social groups. Our study provides critical insights for developing more targeted and equitable urban planning and public health interventions.]]></description>
      <pubDate>Wed, 17 Jun 2026 16:13:02 GMT</pubDate>
      <guid>https://trid.trb.org/View/2681873</guid>
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    <item>
      <title>City street experiment for transformative change - municipal challenges of re-making public spaces</title>
      <link>https://trid.trb.org/View/2681864</link>
      <description><![CDATA[One way to foster innovation in urban settings is through urban experimentation, which involves giving actors the opportunity to try out new solutions. One venue for urban experimentation is city street experiments. City street experiments have emerged as an alternative way to test new solutions that can lead to transformative change. They are also a call for a reprioritization of city street space in favor of more sustainable modes of travel. Spatial planning is believed to have a central role in moving society towards a sustainable transition. To counteract prevailing planning practices that hardly contain strategies and tools to assess, adapt and shape a sustainable urban mobility transition, street experiments are increasingly used to shift the balance of city streets away from a traffic and automotive-oriented focus. The re-making of streets into “summer streets” and “mobility hubs” is examples of emerging city street experiments in Swedish cities. The aim of this paper is to analyze how city street experimentation is part of strategic spatial planning practices and its possible consequences for urban transformation. Our empirical material is based on observations, workshops, interviews with planners and document analyses in two Swedish municipalities. The results show a lack of sharp planning tools as well as a fear of lock-ins when conducting city street experiments. They illustrate how city street experiments become part of long-term goals for the municipalities. A key insight is that strategic spatial planning is a process through which visions, means and actions for implementing city street experiments are produced.]]></description>
      <pubDate>Wed, 17 Jun 2026 16:13:02 GMT</pubDate>
      <guid>https://trid.trb.org/View/2681864</guid>
    </item>
    <item>
      <title>Bridging the gap with highway cap: Reshaping urban landscapes without gentrification</title>
      <link>https://trid.trb.org/View/2681854</link>
      <description><![CDATA[This study investigates the impact of highway caps on gentrification for ten highway cap projects completed between 1992 and 2016 across nine U.S. cities. Three observations are made by conducting a quasi-experimental research design to measure changes in demographic, socioeconomic, and housing characteristics. First, there are no consistent demographic changes (e.g., White, Black, Hispanic) across highway cap projects, suggesting that highway caps do not uniformly drive racial demographic shifts. Second, the socioeconomic characteristics of households in highway cap neighborhoods show overall improvement. These neighborhoods experienced an increase in household income across all projects, with 60% of the projects also reporting a decrease in the poverty rate. Third, housing characteristics exhibit mixed outcomes following the intervention. In 70% of the projects, the number of housing units either increased or remained the same, while in 80% of the projects, the number of vacant units decreased or remained stable. Findings suggest that highway caps may be a potential solution to reconnect communities without inducing gentrification.]]></description>
      <pubDate>Wed, 17 Jun 2026 16:13:02 GMT</pubDate>
      <guid>https://trid.trb.org/View/2681854</guid>
    </item>
    <item>
      <title>Urban form optimization to mitigate traffic-induced air pollution damage on historic buildings: A multi-physics approach for sustainable heritage conservation</title>
      <link>https://trid.trb.org/View/2679256</link>
      <description><![CDATA[Urban traffic-related air pollution poses a growing challenge for sustainable cities. Particularly in historic districts, traffic-emitted pollutants accelerate the degradation of historic building materials, which compromises cultural heritage, urban identity, and long-term socio-environmental resilience. Urban spatial optimization, as a preventive, non-intrusive, and long-term sustainable conservation strategy, demonstrates substantial potential in mitigating pollutant-induced material degradation. To quantitatively evaluate the mitigation effects of urban space optimization, the present study develops an urban-scale numerical model with multi-physics couplings. The urban traffic source model is integrated with the wind-thermal environment model and the air pollutant transport model to simulate the influences of traffic-released heat and pollutants on the micro-environment. After experimental validation, the numerical models are utilized to evaluate various configurations of urban green spaces and ventilation corridors based on the material corrosion model. In the case without mitigation measures, the maximum degradation rates of limestone (6.8 × 10⁻³ μm/day), bronze (3.1 × 10⁻⁴ μm/day), and carbon steel (1.5 × 10⁻² μm/day) reach 106%, 35%, and 60% of their respective tolerable values, respectively. The optimal ventilation corridor reduces the maximum and average material degradation rates by up to 35.03% and 53.51%, respectively. Urban green space tends to introduce more pollutants into historic districts and worsens corrosion levels. The proposed framework supports sustainable urban governance by enabling preventive, non-intrusive, and spatially driven strategies that integrate air quality management, urban form optimization, and long-term heritage conservation.]]></description>
      <pubDate>Wed, 17 Jun 2026 16:13:02 GMT</pubDate>
      <guid>https://trid.trb.org/View/2679256</guid>
    </item>
    <item>
      <title>Urban Flooding Restructures Mobility Through Coupled Behavioral and Network Disruption: A Systematic Review of Evidence</title>
      <link>https://trid.trb.org/View/2679255</link>
      <description><![CDATA[This systematic review synthesizes 61 peer-reviewed studies to clarify how urban flooding jointly reshapes travel behavior and transport system performance, and how these coupled changes evolve through feedback between traveler decisions and network disruption. The inquiry is motivated by the convergence of extreme rainfall and rapid urbanization, a combination that accelerates runoff, heightens exposure, and places sustained pressure on urban mobility. Three findings emerge. First, flood-induced mobility disruption unfolds as a sequenced and time-dependent process in which behavioral adaptation and system degradation progress together. Travelers adjust departure times, shift routes or modes as options narrow, and cancel trips, while system performance deteriorates in parallel through declining speeds, rising vehicle hours traveled, expanding detours, and suppressed demand. Second, the distribution of flood-related mobility loss is sharply unequal, with the greatest burdens borne by low-income, marginalized, transit-dependent, and physically constrained travelers whose limited flexibility heightens exposure during walking, waiting, and transferring, and with work and school travel absorbing many of the largest delays and cancellations. Third, the evidence base exhibits a methodological imbalance, as most studies examine either behavioral responses or system performance in isolation. This review identifies four future research directions: (i) tracing floods, behavior, and operations together through time, (ii) calibrating models to observed behavioral thresholds under flood conditions, (iii) shifting equity analysis to activity-space exposure, and (iv) expanding comparative and multimodal evidence across under-studied regions and non-motorized and informal modes. These insights establish a unified basis for understanding how urban flooding restructures mobility and for strengthening planning and modeling efforts under intensifying climate conditions.]]></description>
      <pubDate>Wed, 17 Jun 2026 16:13:02 GMT</pubDate>
      <guid>https://trid.trb.org/View/2679255</guid>
    </item>
    <item>
      <title>Impacts of urban hierarchy, mobility, and built environment on transport carbon emissions</title>
      <link>https://trid.trb.org/View/2679244</link>
      <description><![CDATA[Understanding the spatial determinants of transport-related carbon emissions is critical for advancing climate-responsive urban development. This study examines how built-environment characteristics, transport infrastructure, and transport mode interact to influence transport carbon emissions across different urban development levels in Taiwan. A typology-sensitive design classified 352 cities and towns into high-, medium-, and low-development areas (HDAs, MDAs, and LDAs, respectively) using the population size, population density, and location quotient (LQ) to capture the scale, intensity, and functional specialization, respectively. Subsequently, separate multiple regression models evaluated tier-contingent associations between transport emissions and indicators of spatial form, infrastructure, and mobility. The results showed that private vehicle usage as the strongest positive correlate of transport carbon emissions across all tiers. However, built-environment effects varied markedly by development tier. In HDAs, emissions were positively associated with building-patch aggregation but negatively with dispersion, suggesting that an excessively concentrated structure may intensify congestion-related inefficiencies while a more distributed spatial structure can moderate traffic pressure. Bus service coverage also effectively reduced emissions in HDAs. In contrast, in MDAs, dispersion was positively associated with emissions, consistent with increased travel demand arising from dispersion-led expansion. In LDAs, both aggregation and dispersion were positively associated with emissions while bus service coverage provided a key mitigating pathway, reflecting essential accessibility where private travel alternatives are limited. This study highlights the value of development-sensitive analyses for improving the interpretability and policy relevance of transport-emissions modelling. Moreover, it provides evidence to inform more effective, equitable, and scalable low-carbon urban policies.]]></description>
      <pubDate>Wed, 17 Jun 2026 16:13:02 GMT</pubDate>
      <guid>https://trid.trb.org/View/2679244</guid>
    </item>
    <item>
      <title>Optimizing Runoff Control – Cooling Co-Benefits of Green Stormwater Infrastructure: Insights from High-Density Residential Areas</title>
      <link>https://trid.trb.org/View/2681829</link>
      <description><![CDATA[With the challenges of climate change and rapid urbanization worldwide, cities are increasingly exposed to environmental extremes such as urban floods and heat waves. In this context, Green Stormwater Infrastructure (GSI) has been widely adopted in urban planning due to its effectiveness in runoff mitigation. However, the extent to which different GSI types—such as bioretention cells (BC), pervious pavement (PP), and green roofs (GR)—can also deliver urban cooling benefits, and how their combinations optimize co-benefits, remains underexplored. This study evaluated cooling performance of three GSI combinations with varying runoff control capabilities in a high-density, high-rise residential area in Nanjing, China. All tested GSI combinations (GR + BC, PP + BC, GR + PP + BC) significantly reduced ambient thermal conditions during daytime hours. Notably, the PP+BC combination exhibited the highest co-benefits potential, achieving a 90% runoff reduction while lowering surface temperature by up to 2.75°C and physiological equivalent temperature by up to 1.79°C. Further analysis of factors influencing these co-benefits revealed that while a higher proportion of permeable surfaces can enhance the cooling effect, the percentage of impervious surfaces negatively impacted GSI cooling performance. In terms of cost-effectiveness, the PP+BC combination achieved the greatest cooling efficiency, reducing temperature by 2.34°C per million USD invested while maintaining superior runoff control. These findings underscore the integrated hydrological and microclimatic benefits of GSI and offer actionable insights for climate-resilient urban design and the sustainable renewal of high-density neighborhoods.]]></description>
      <pubDate>Wed, 17 Jun 2026 16:13:02 GMT</pubDate>
      <guid>https://trid.trb.org/View/2681829</guid>
    </item>
    <item>
      <title>Sustainable Active Transportation Infrastructure for Urban Heat Adaptation and Mitigation: A Systematic Literature Review</title>
      <link>https://trid.trb.org/View/2681827</link>
      <description><![CDATA[Cities worldwide are facing increasing heat stress that threatens public health, livability, and the usability of active transportation networks. Despite growing efforts to expand active mobility, microclimatic conditions are often insufficiently integrated into transport planning and design. This study synthesizes global evidence on how urban form and active transportation infrastructure influence heat exposure for pedestrians and cyclists through a dual-method review approach. A bibliometric analysis of 1,661 publications maps the evolution and fragmentation of research at the intersection of urban climate and active mobility, while a PRISMA-based systematic review of 178 empirical studies applies a structured qualitative coding framework to assess infrastructure typologies, urban morphological parameters, thermal metrics, and cooling strategies across climate zones and spatial scales. Cooling effects are reported either as reductions in air temperature or as changes in thermal comfort indices such as Physiological Equivalent Temperature (PET) and the Universal Thermal Climate Index (UTCI). Across the reviewed literature, climate-sensitive design elements, including vegetation, shading, reflective materials, water features, and optimized street geometry, are associated with reductions in thermal exposure of up to 10°C. Pedestrian-only streets, sidewalks, and greenways typically exhibit reductions of 2–3°C, while reported cooling effects for cycling infrastructure range from 0 to 9°C for bike lanes and 1–1.5°C for cycle superhighways. Key morphological drivers include sky view factor (SVF), height-to-width (H/W) ratios, street orientation, density, and surface materials. Case studies demonstrate co-benefits for walkability, social interaction, and air quality. To support practical application, we introduce an evidence-based framework linking climate zones to optimal cooling strategies, expected thermal outcomes, and behavioral benefits.]]></description>
      <pubDate>Wed, 17 Jun 2026 16:13:02 GMT</pubDate>
      <guid>https://trid.trb.org/View/2681827</guid>
    </item>
    <item>
      <title>Shaping Future Sustainable Eco-Cities: Profit-Driven and Cost-Effective Optimization of Energy Systems Integrated with Public Transport Fleets and CHP for Near Net-Zero Emissions</title>
      <link>https://trid.trb.org/View/2681819</link>
      <description><![CDATA[This study develops an integrated and cost-effective energy management framework combining Public Transport Fleets (PTFs), Renewable Energy Sources (RES), Combined Heat and Power (CHP) systems, Battery Energy Storage Systems (BESS), and Vehicle-to-Grid (V2G) technologies to achieve near net-zero emissions in urban power distribution networks. The proposed framework not only ensures energy reliability but also optimises operational costs and reduces carbon emissions, contributing to the development of sustainable eco-cities. The numerical simulations reveal substantial improvements in economic and environmental performance. In the most advanced configuration (Test Case 4), incorporating PTFs, V2G, and BESS, daily operational costs were reduced by 47.20%, from £31,820 to £16,801.67, while CO₂ emissions costs dropped by 47.90%, from £2,898 to £1,509.8, compared to the baseline case (Test Case 1). The inclusion of harmonised CHP and RES systems (Test Case 3) led to a 44.49% reduction in operational costs and a 47.13% decrease in emissions costs, highlighting the synergies of integrating solar, wind, and CHP technologies. Moreover, the integration of PTFs into the energy framework improved system efficiency, especially during peak demand hours, with operational cost reductions of up to 58.17% and emission cost savings of 54.87% in critical periods. This study highlights the critical role of PTFs in enhancing energy efficiency and reducing carbon footprints in urban networks. The findings provide policymakers and urban planners with actionable strategies to accelerate the transition toward low-carbon, cost-effective, and resilient energy systems, paving the way for sustainable urban mobility and energy ecosystems.]]></description>
      <pubDate>Wed, 17 Jun 2026 16:13:02 GMT</pubDate>
      <guid>https://trid.trb.org/View/2681819</guid>
    </item>
    <item>
      <title>Access mode choice in low-income megacity: Perceived walkability and station context effects</title>
      <link>https://trid.trb.org/View/2706724</link>
      <description><![CDATA[This study investigates the factors influencing access mode choice to Mass Rapid Transit (MRT) in Dhaka, Bangladesh, with a focus on perceived walkability and station context. Data collected from three distinct station types—central business district (CBD), residential, and terminal + peripheral—were analyzed using a Hybrid Choice Model, incorporating objective variables and latent perceptions of walkability. Results show a distance-based hierarchy of access modes: walking dominates short trips, rickshaws serve medium-range trips, and buses cover longer distances. Among walkability perceptions, walkway quality significantly influences access mode choice, while street vibrancy and safety have limited effects. Other significant factors include travel time, cost, access time to feeder bus, and station context. Walking is preferred at residential station, while rickshaws and buses dominate at terminal + peripheral station. The findings suggest that developing integrated multimodal transit systems, prioritizing feeder strategies based on station contexts, and revising transit-oriented development (TOD) paradigms are essential for efficient and equitable urban development.]]></description>
      <pubDate>Thu, 11 Jun 2026 09:29:17 GMT</pubDate>
      <guid>https://trid.trb.org/View/2706724</guid>
    </item>
    <item>
      <title>Joint Latent Analysis of Behavioral Patterns in Multi-Source Origin–Destination Matrices</title>
      <link>https://trid.trb.org/View/2711989</link>
      <description><![CDATA[Urban origin–destination (OD) data often come from two distinct sources: traditional surveys and global positioning system (GPS)-based records. The former offer rich behavioral detail but are infrequent and costly, while the latter provide continuous coverage but lack semantic context. They often lead to different findings and are rarely examined together, making it difficult to build a consistent understanding of urban travel behavior. To address this gap, we propose a dynamic joint latent factor model that decomposes multi-source OD matrices into shared spatial structures and source-specific temporal dynamics. The model identifies latent movement patterns by jointly factorizing both datasets while allowing each source to retain its unique temporal characteristics. Applied to GPS and survey OD data from Ottawa, Canada, the model achieves strong reconstruction accuracy (R²≈0.8 overall). The results uncover stable spatial patterns alongside clear differences in the traveler groups driving each latent mode. GPS factors emphasize younger and higher-income travelers, especially in the more flexible afternoon period. However, survey factors reflect routine commuting by middle-aged and middle-income households. These patterns show that the joint model isolates behavioral differences from sampling bias and provides a coherent representation of OD demand across sources. Together, these results show that the joint factorization quantifies behavioral differences from sampling bias and provides a coherent representation of OD demand across sources. This framework helps compare and interpret multi-source OD data in settings where traditional surveys are limited.]]></description>
      <pubDate>Wed, 10 Jun 2026 10:47:04 GMT</pubDate>
      <guid>https://trid.trb.org/View/2711989</guid>
    </item>
    <item>
      <title>From mature to emerging cities: Cross-city transfer of grid-level EV charging station prioritization via Domain-adversarial neural networks</title>
      <link>https://trid.trb.org/View/2676436</link>
      <description><![CDATA[Electrification is accelerating, making the questions of where and when to deploy EV charging infrastructure urgent. Existing studies are predominantly single-city and lack temporal labels that capture build-out rhythm, limiting generalization to emerging cities. We develop a cross-city transfer learning framework that first clusters Chinese cities by climate and geography and restricts transfer to within-cluster pairs. Within the typology, we evaluate the framework on two representative transfer pairs, Shenzhen→Dongguan and Beijing→Zhengzhou, involving cities of similar type but contrasting development levels. Robustness is verified across grid resolutions (200/500/700 m), confirming 500 m as an optimal balance. Using multi-source urban features on 500-m grids and a five-level deployment-urgency label derived from multi-year build-out, we train a Domain-Adversarial Neural Network (DANN) to predict grid-level prioritization and validate externally at city and street-sample scales. The framework outperforms baselines in cross-city transfer (≈8% Macro-F1 gain); under a Top-10% budget, it captures over 60% of next-year additions with an average nearest distance <500 m, and high-priority grids co-locate along transport spines and public/commercial corridors. The resulting reproducible pipeline—national heterogeneity→clustering prior→adversarial transfer →dual-scale validation—supports spatial prioritization and shortlist screening for EV charger deployment in emerging cities; broader validation on more diverse city pairs remains future work.]]></description>
      <pubDate>Tue, 09 Jun 2026 14:43:22 GMT</pubDate>
      <guid>https://trid.trb.org/View/2676436</guid>
    </item>
    <item>
      <title>Forecast Transactional Synergy in Sustainable Cities Energy Community through Hydrogen Fuel Cell Diversified Utilization with Dual Green Transportation alongside Social Digital Welfare under Carbon Trade Offs</title>
      <link>https://trid.trb.org/View/2676501</link>
      <description><![CDATA[Sustainable cities and energy communities are increasingly challenged by the growing interdependence of electricity, hydrogen, and carbon flows under high renewable penetration and mobility-driven demand. Coordinating these multi-carrier interactions while ensuring carbon transparency, economic efficiency, and operational resilience remains a critical issue in urban energy management. This study develops an integrated optimization framework for electricity–hydrogen–carbon coordination that combines potential-based cooperation, Nash equilibrium, and Stackelberg hierarchical decision-making with a carbon storage ratio tracing mechanism and a spatiotemporal aerial mobility representation. The framework captures the interactions among distributed renewable resources, hydrogen storage systems, aerial mobility loads, and digitally verifiable carbon trading within an urban energy community. Numerical validation on modified distribution networks demonstrates clear performance improvements. Compared with carbon-blind multilateral trading, system-wide carbon emissions decrease by 22.2%, while external market coordination produces 15.9% higher emissions than the proposed strategy. Economic performance improves, with community revenues increasing by up to 24.4% and operating costs decreasing by 12.9%. Carbon price sensitivity further reduces emissions from 809.53 kilograms to 747.85 kilograms per day. The proposed approach also achieves faster computational performance and higher renewable energy utilization relative to benchmark optimization strategies. These findings provide a scalable foundation for coordinated low-carbon scheduling in urban multi-energy communities, supporting hydrogen mobility integration, carbon-transparent markets, and digitally enabled sustainable city systems.]]></description>
      <pubDate>Tue, 09 Jun 2026 14:43:22 GMT</pubDate>
      <guid>https://trid.trb.org/View/2676501</guid>
    </item>
    <item>
      <title>A resilient location of urban fire stations considering multiple-path characteristic of uncertain road networks: Framework and case study</title>
      <link>https://trid.trb.org/View/2676862</link>
      <description><![CDATA[Existing location models typically seek to mitigate the impact of identifiable road network uncertainties on emergency systems. In reality, the road network uncertainty is inherently stochastic. This study develops a resilience-oriented location optimization framework for fire stations (FSs) that integrates the resilience of road networks surrounding fire systems as a proactive strategy against uncertainties. Specifically, this study proposes a bi-objective location optimization model for urban FSs, which integrates the objective of maximizing the total multi-path accessibility of FSs with the maximal covering location model (MCLM), thereby balancing resilience and efficiency for sustainable infrastructure deployment. A case study in Jiading District, Shanghai, China demonstrates the practical effectiveness of the proposed model. By comparing with classic models, the proposed model significantly enhances the multi-path accessibility of fire systems, albeit with a slight reduction in the total number of accessible fire demand points (FDPs). Besides, our findings indicate that coordinating FS layout with road network planning enhances strategic deployment while saving substantial investment. This study enables proactive preparedness and optimization of road network conditions for fire service in the location planning stage, offering a strategic framework for systematic deployment of FSs through coordination with road networks.]]></description>
      <pubDate>Tue, 09 Jun 2026 14:43:22 GMT</pubDate>
      <guid>https://trid.trb.org/View/2676862</guid>
    </item>
    <item>
      <title>Walkability and urban foraging: Spatial modeling of wild food access in Detroit, Michigan</title>
      <link>https://trid.trb.org/View/2676292</link>
      <description><![CDATA[Urban food insecurity affects millions globally, with alternative food systems becoming increasingly important as traditional retail access declines in post-industrial cities. This study examined relationships between neighborhood walkability and urban foraging patterns in Detroit, Michigan, to understand how transportation infrastructure influences access to wild food resources. We developed an Urban Foraging Activity index from citizen science data across Census Block Groups and employed exploratory spatial data analysis and conditional autoregressive modeling to assess relationships between foraging patterns and transportation, demographic, and built environment variables while controlling for spatial dependencies. Conditional autoregressive models explained up to 69% of variation in foraging patterns, with walkability infrastructure emerging as the strongest consistent predictor across all spatial models. We identified a bimodal socioeconomic distribution where both high-wage workers and zero-car households showed strong positive associations with foraging activity, while neighborhood density variables demonstrated negative relationships. Significant spatial clustering indicated that foraging opportunities concentrate geographically in neighborhoods with specific context and composition characteristics rather than being randomly distributed. These findings demonstrate that walkability improvements represent an underrecognized strategy for simultaneously addressing transportation equity and food system resilience, providing quantitative evidence that pedestrian-oriented infrastructure investments can enhance access to healthy food resources in cities confronting persistent food security challenges.]]></description>
      <pubDate>Mon, 08 Jun 2026 08:38:12 GMT</pubDate>
      <guid>https://trid.trb.org/View/2676292</guid>
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