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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>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <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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      <link>https://trid.trb.org/</link>
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    <item>
      <title>How does firm exit during geopolitical conflicts affect idiosyncratic risk? Evidence from the Russia–Ukraine war</title>
      <link>https://trid.trb.org/View/2605023</link>
      <description><![CDATA[While it is well understood that geopolitical conflicts like the Russia–Ukraine war should have a significant impact on firm risk, it is less clear how firm exit during such conflicts may affect firm-specific, idiosyncratic risk. We address this question empirically by investigating the exit decisions of U.S. firms triggered by the Russian invasion of Ukraine in February 2022. Specifically, we identify firms that announced their exits from Russia in February-May 2022 (treated firms) and adopt a difference-in-differences (DiD) approach to compare the changes in idiosyncratic risk between these treated firms and matched control firms that did not make exit announcements. Our DiD results indicate that compared to matched control firms, treated firms have lower idiosyncratic risk after announcing their exit decisions, especially when the exit decisions involve full withdrawal of operations rather than only suspending or scaling back operations. Our results also indicate that the decline in idiosyncratic risk is more pronounced for firms with efficient and geographically diversified supply chains. Additional tests further suggest that supplier geographic diversification plays a more important moderating role than customer geographic diversification. These findings demonstrate the effectiveness of firm exit strategies in mitigating idiosyncratic risk during geopolitical crises but also reveal the key role played by efficient and diversified supply chains in shaping this outcome.]]></description>
      <pubDate>Wed, 17 Jun 2026 16:14:28 GMT</pubDate>
      <guid>https://trid.trb.org/View/2605023</guid>
    </item>
    <item>
      <title>Socio-economic stratification of urban air mobility based on income and transport demand: a case study of New York City</title>
      <link>https://trid.trb.org/View/2698368</link>
      <description><![CDATA[Understanding the main factors driving urban air mobility (UAM) demand is essential for better planning of operations for this emerging air transport mode in large cities. Using New York City as a case study, this research aims to analyse the geographic distribution of potential UAM passengers by income and demand for air taxi services through exploratory data analysis. The results show that during the initial phase of operations, airport shuttle services connecting high-income and high-demand areas, such as the route between Manhattan and John F. Kennedy International Airport, can serve as a reference for experimental business cases in operational planning. The theoretical and practical implications of this study offer insights for the development of new air transport services and infrastructure in UAM.]]></description>
      <pubDate>Wed, 17 Jun 2026 16:14:28 GMT</pubDate>
      <guid>https://trid.trb.org/View/2698368</guid>
    </item>
    <item>
      <title>Gender differences in self-reported hurricane evacuation decisions among vulnerable populations: A comparative study of urban and rural areas</title>
      <link>https://trid.trb.org/View/2701549</link>
      <description><![CDATA[Disasters create distinct challenges for people based on geographic location, influencing self-reported evacuation decisions and access to transportation options. This study investigates urban–rural differences in self-reported evacuation decisions and transportation choices during disasters, with a particular focus on gender-based variations among vulnerable populations, including older adults and racial minorities. It seeks to answer: (1) How do evacuation behaviors of vulnerable populations differ according to gender across urban and rural areas? (2) How do transportation choices during evacuation vary between urban and rural settings across these populations? Data were collected through a Pollfish survey of 318 respondents evenly divided across urban and rural zip codes in Northwest Florida, comprising 134 men and 184 women. Assuming responses reflect hurricane-related perceptions, a series of Bayesian logistic regression models were used to analyze evacuation status and future potential transportation mode choices, incorporating socio-economic and health-related variables. The findings reveal significant differences: rural men have higher evacuation rates than women, while rural women show significantly lower rates than their urban counterparts. Public transit reliance is greater in rural areas, particularly among women, highlighting the need for improved transportation access. Key barriers for rural women include caregiving responsibilities, limited vehicle access, and chronic health conditions. The study also identifies healthcare access, marital status, and housing vulnerability as critical factors shaping evacuation transportation choices. These results emphasize the importance of equitable, gender-sensitive disaster planning that considers the diverse needs of different demographic groups to enhance disaster preparedness and response.]]></description>
      <pubDate>Wed, 20 May 2026 10:20:54 GMT</pubDate>
      <guid>https://trid.trb.org/View/2701549</guid>
    </item>
    <item>
      <title>The nonlinear effect of the built environment on older adults' BMI and its spatial differentiation in a metropolis: Evidence from Beijing</title>
      <link>https://trid.trb.org/View/2667050</link>
      <description><![CDATA[This study investigates the nonlinear impacts of both macro- and micro-scale built environment factors on the Body Mass Index (BMI) of older adults, with a particular focus on spatial heterogeneity across urban functional zones in Beijing. Drawing on health records from over 2.3 million elderly residents and integrating multi-source spatial data—including POI, road networks, and street view images—the research constructs a comprehensive set of 24 variables encompassing land-use, transportation, and socio-demographic characteristics. Using an XGBoost machine learning model, the analysis reveals the relative importance and threshold effects of built environment features on elderly BMI. Findings indicate that transportation-related factors exert a greater influence than land-use factors, and micro built environment variables such as green view index and physical disorder exhibit complex, non-linear relationships with BMI. Notably, the impact of these factors varies significantly across Beijing's four urban functional zones, with transportation factors becoming more dominant in peripheral areas. These insights offer new empirical evidence to support age-friendly urban design and inform differentiated spatial planning strategies aimed at promoting healthy aging.]]></description>
      <pubDate>Wed, 29 Apr 2026 17:04:41 GMT</pubDate>
      <guid>https://trid.trb.org/View/2667050</guid>
    </item>
    <item>
      <title>Trapped by proximity, exiled by distance: Theorising transport access inequality in Tunisia through spatial friction and structural voids</title>
      <link>https://trid.trb.org/View/2666935</link>
      <description><![CDATA[Spatial justice in transport access remains a critical challenge for territorial planning, particularly in nations where developmental imbalances foster complex inequalities. This paper introduces an innovative conceptual framework for diagnosing spatial injustice, moving beyond the traditional core-periphery dichotomy. We propose a dialectic of two complementary phenomena: spatial friction, which defines territories where hyper-concentration and constrained mobility generate systemic dysfunction, and structural voids, which characterizes spaces afflicted by a fundamental lack of infrastructure and economic opportunity. Applying this framework to Tunisia, we develop a multidimensional Access Inequality Index (IIAccess) combining four indicators (travel time ratio, motorisation rate, road network density, and average daily traffic) which are objectively weighted using Principal Component Analysis (PCA). The findings reveal a complex geography of injustice, highlighted by the paradoxical result of Sfax, a major economic hub, exhibiting the highest level of inequality (0.853), followed by the metropolitan governorates of Ariana (0.824) and La Manouba (0.737). This analysis culminates in a typology of four distinct territorial profiles, metropolitan saturation territories, structural deficiency spaces, regional hubs under pressure, and precarious rural zones, each demanding differentiated and spatially attuned policy responses. This framework offers a robust, transferable methodology for understanding and addressing the multifaceted nature of transport inequality in the Global South and beyond.]]></description>
      <pubDate>Wed, 29 Apr 2026 09:17:14 GMT</pubDate>
      <guid>https://trid.trb.org/View/2666935</guid>
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    <item>
      <title>Walk, swim and paddle: Qualitative research reframing children's independent mobility through capability and rhythmanalysis</title>
      <link>https://trid.trb.org/View/2667041</link>
      <description><![CDATA[Moving, mobilising and journeying depict inter- and intra-spatial aspects of children's local travel activity. However, little is known about how indigenous children's independent mobility (CIM) in coastal environments enhances the capabilities that liberate their spatial activities between land and sea. This manuscript redefines the meaning of independent mobility (IM) from the perspective of Bajau Ubian children and how they shaped their daily spatial activities of play from the perspective of rhythmanalysis of the everyday geography of their coastal environment. Four methods were employed, highlighting the intersection of phenomenology and ethnography. These methods comprised direct participation, auto-photography, go-along interviews, and focus group discussions, all designed to capture geospatial locations through the integration of qualitative Geographical Information System (GIS) techniques. A content analysis revealed three themes, which were used to conceptualise the meaning of IM, namely individual capability, social capability, and environmental capability. Moreover, a qualitative GIS analysis extended the theme of environmental capability by using geovisualisation to generate types of IM patterns. Four patterns emerged, which were categorised as nucleated, nucleated-scattered, linear, and linear-dispersed. This suggests that for Bajau Ubian children, IM goes beyond traditional notions of individual autonomous movement, representing a dynamic process shaped by the everyday rhythms of coastal environments and the cyclical changes of moon phases. It also highlights the interplay between individual and social dimensions, where play becomes an integral part of children's daily spatial experiences during IM. In light of these findings, the study redefines the existing concept of IM by introducing the Rhythmic-Capability Conceptual Tool of Children's Independent Mobility.]]></description>
      <pubDate>Wed, 29 Apr 2026 09:17:14 GMT</pubDate>
      <guid>https://trid.trb.org/View/2667041</guid>
    </item>
    <item>
      <title>Land use, roadway, and socioeconomic correlates of non-motorized road user safety: Differentiating pedestrian and bicyclist risks</title>
      <link>https://trid.trb.org/View/2666933</link>
      <description><![CDATA[Between 2009 and 2022, pedestrian fatalities in the United States (U.S.) increased by 82.3% and bicyclist fatalities rose by 70.8%. Are these incidents concentrated around specific land uses, and what roadway or socioeconomic characteristics might be interrelated with this trend? This study provides in-depth analyses of pedestrian and bicyclist fatal and serious injury (KA) crashes in Chicago, comparing crash characteristics from 2009 to 2011 to those from 2018 to 2020. Our findings indicate that pedestrian and bicyclist KA crashes are increasingly occurring in areas with lower population density, suggesting a shift from urban centers to the inner-suburbs. These KA crashes are commonly located near small-scale commercial land uses and along mid-size collector and arterial roads. However, pedestrian crashes have shifted to areas with populations that have limited access to automobiles and high proportions of minority residents while bicyclist crashes have shifted to predominately White, non-Hispanic areas with automobile access not being a significant predictor. These patterns suggest that recent increases in bicyclist crashes may be associated with bicycling as a more discretionary mode of travel, whereas pedestrian safety challenges may be more closely linked to walking for necessity, although more comprehensive exposure data is needed to substantiate this possibility. More localized pedestrian activity warrants safety interventions focused on neighborhood-scale commercial developments throughout the city, while bicyclist safety efforts may be more effectively targeted toward regional networks that support longer-distance travel.]]></description>
      <pubDate>Wed, 29 Apr 2026 09:17:14 GMT</pubDate>
      <guid>https://trid.trb.org/View/2666933</guid>
    </item>
    <item>
      <title>Spatiotemporal heterogeneity-aware ridership prediThe calculation results are shction with MGWR-informed attention on CNN-BiLSTM</title>
      <link>https://trid.trb.org/View/2666930</link>
      <description><![CDATA[Accurate taxi ridership forecasting plays a vital role in enhancing passenger experience and mitigating the mismatch between taxi supply and demand. However, most existing methods approach the problem from a city-wide perspective, overlooking the spatiotemporal heterogeneity inherent in the built environment. Additionally, traditional forecasting models tend to emphasize temporal dynamics while neglecting spatially varying environmental features, resulting in limited adaptability and predictive accuracy. To address these challenges, this study proposes a novel framework that integrates Multiscale Geographically Weighted Regression (MGWR) as an attention mechanism into a deep learning model to capture the complex interplay between urban form and ridership. MGWR is first used to uncover localized, multiscale dependencies between taxi demand and built environment variables, effectively characterizing regional heterogeneity. These insights are then embedded as spatial attention signals into a CNN-BiLSTM model, enhancing its ability to fuse spatial and temporal patterns for improved ridership forecasting. Extensive experiments on real-world taxi data from Chengdu, China, demonstrate the effectiveness of the proposed method. The results reveal pronounced spatiotemporal heterogeneity: factors such as shopping centers, financial facilities, and bus stops exert stronger effects in central urban areas but show diminishing influence in suburban areas. Temporally, shopping centers contribute more to weekend ridership, while enterprises and residential areas play a greater role during workday commuting peaks. By incorporating these variations, the CNN-BiLSTM-Attention model achieves superior predictive accuracy, with an adjusted R2 of 0.91 and much lower than the baseline error. These findings offer practical insights for urban transportation planning and support data-driven decisions for optimizing taxi dispatch and infrastructure design.]]></description>
      <pubDate>Wed, 29 Apr 2026 09:17:14 GMT</pubDate>
      <guid>https://trid.trb.org/View/2666930</guid>
    </item>
    <item>
      <title>Spatial effects of high-speed rail on human capital allocation efficiency</title>
      <link>https://trid.trb.org/View/2676358</link>
      <description><![CDATA[High-speed rail (HSR) has emerged as a transformative mode of transport with the potential to reshape the allocation of human capital across regions. While previous studies have largely examined its effects on labor mobility and mismatch, relatively little is known about how HSR influences human capital allocation efficiency (HCAE) and through which mechanisms. Drawing on panel data from 270 Chinese cities between 2004 and 2023, and employing the Spatial Durbin Model (SDM), this study evaluates both the direct and spillover effects of HSR on HCAE. Three key findings emerge. First, HSR significantly improves HCAE in host cities but reduces efficiency in neighboring areas. Second, mechanism analysis shows that HSR advances local HCAE through technological innovation, industrial transfer, and labor mobility. Yet in neighboring cities, only technological innovation exerts a positive influence, while industrial transfer and labor mobility generate negative spillovers. Third, heterogeneity analysis shows that the positive effect of HSR on HCAE is concentrated in eastern, large, and highly integrated cities, whereas negative spillovers are more pronounced in central-western and less integrated cities. These findings provide new empirical insights for policymakers, underscoring the need to balance the uneven spatial consequences of HSR development in order to foster more inclusive and sustainable regional growth.]]></description>
      <pubDate>Wed, 29 Apr 2026 09:17:13 GMT</pubDate>
      <guid>https://trid.trb.org/View/2676358</guid>
    </item>
    <item>
      <title>Spatial exploration and evaluation of rail and long-distance bus network integration with a multimodal node-place model</title>
      <link>https://trid.trb.org/View/2676356</link>
      <description><![CDATA[Improving the integration of rail and long-distance bus services is essential for enhancing regional connectivity and sustainable transport accessibility. Existing node-place models mainly focus on station surroundings and do not consider how buses extend access explicitly to support the transit network. Therefore, this study develops a multimodal network-based approach applied to a case of sub-rural Scotland. Three new integration metrics are designed — travel time-weighted population (demand coverage), feeder bus service availability (supply), and network centrality (regional connectivity). These indicators are then incorporated into a three-dimensional node-place framework, which evaluates the integration performance of 102 railway stations across the study area. Results reveal spatial differences in integration performance, identifying well-connected hubs such as Inverness and Stirling, alongside stations like Rosyth and Dunfermline City where demand is not matched by service provision. The analysis also shows opportunities to strengthen east–west regional links and improve multimodal access through targeted interventions, such as co-locating bus termini. By extending the node–place model to include multimodal catchments and network-level connectivity, the framework captures aspects of integration that are overlooked in rail-only assessments and offers a unified diagnostic tool for identifying where rail-bus integration improvements may have the greatest effect. The method is built on publicly available data, enabling its application in other regions and adaptation to support future demand modelling.]]></description>
      <pubDate>Wed, 29 Apr 2026 09:17:13 GMT</pubDate>
      <guid>https://trid.trb.org/View/2676356</guid>
    </item>
    <item>
      <title>The heterogeneous relationship between multi-scalar accessibility and economic diversity: Evidence from Hong Kong</title>
      <link>https://trid.trb.org/View/2673215</link>
      <description><![CDATA[Economic diversity, typically characterized by small independent businesses, faces a declining trend in many regions and countries due to market consolidation and the post-pandemic landscape. While transportation accessibility is widely advocated for economic growth, its nuanced role in economic diversity across multiple spatial scales and socioeconomic contexts remains critically underexamined. This study examines complex dynamics in Hong Kong, analyzing how local, citywide, and regional accessibility, both individually and interactively, relate to economic diversity, as measured by the percentage of independent restaurants. Our findings reveal that citywide and regional accessibility are generally associated with lower diversity, overshadowing the non-significant role of local accessibility. Additionally, these relationships are not universal but are deeply contingent on local socioeconomic context. We find a stark income-based divergence: advanced city and regional accessibility suppress independent businesses in low-income areas, while fostering them in high-income areas. The effects of multi-scalar accessibility are also conditional on age structure: a higher percentage of the older adults may witness a decline in the percentage of independent restaurants under advanced citywide and regional accessibility. Conversely, this same broad multi-scalar accessibility is positively associated with the percentage of independent restaurants in high-youth areas. We conclude that effective policy must be context-sensitive, accounting for both the geographical scale of accessibility and the socioeconomic characteristics of neighborhoods, thereby fostering equitable and resilient urban economies.]]></description>
      <pubDate>Wed, 29 Apr 2026 09:17:13 GMT</pubDate>
      <guid>https://trid.trb.org/View/2673215</guid>
    </item>
    <item>
      <title>Principles for place-based accessibility planning</title>
      <link>https://trid.trb.org/View/2673216</link>
      <description><![CDATA[Accessibility-based transport and land-use planning concepts, like the 15-minute city, are often interpreted prescriptively based on a narrow set of actionable elements. While these prescriptions are relatively easy to meet in dense urban contexts, their application beyond such settings risks producing unrealistic goals or adverse effects on sustainability, opportunities and social inclusion. This limits the potential for upscaling accessibility planning across diverse spatial contexts. Drawing on a complexity theory perspective, which highlights that diversity in urban forms arises from the interactions among multiple actors without much scope for centralized control, this paper proposes a condition-based accessibility planning framework. Rather than pursuing static spatial ideals, this approach focuses on shaping the conditions that enable diverse development pathways aligned with contextual dynamics. Planners and policymakers can enhance their grip on autonomously emerging accessibility configurations by creating adaptable transport and land-use systems and by investing in longitudinal participatory practices that support mutual learning among actors and iterative normative assessment of desired development paths. Such a condition-based approach would enable diverse context-specific accessibility configurations while remaining grounded in the core values of accessibility-based planning.]]></description>
      <pubDate>Wed, 29 Apr 2026 09:17:13 GMT</pubDate>
      <guid>https://trid.trb.org/View/2673216</guid>
    </item>
    <item>
      <title>Resilience assessment and enhancement of regional transportation system</title>
      <link>https://trid.trb.org/View/2673212</link>
      <description><![CDATA[As an essential component of urban transportation systems, regional transportation systems serve as connection to the urban-level transportation network and satisfy the first-mile-and-last-mile travel needs of neighborhood residents. Due to the special features of regional transportation systems, such as high network density and various transportation modes, regional transportation systems are highly susceptible to various disruptions, which further affect the daily mobility of urban residents. Developing resilient regional transportation systems that can both withstand and recover from disruptions is critical to ensuring smooth and uninterrupted travel of urban residents. However, existing studies have primarily focused on the resilience of urban-level transportation systems, while the resilience assessment and improvement of regional transportation systems have received much less attention. In this paper, we develop a performance-based resilience assessment method tailored to the characteristics of regional transportation systems. A discrete-time simulation is designed to generate performance indicators that serve as inputs to this assessment method. To enhance system resilience, we introduce micro-transit buses, which are commonly used for last-mile transportation or feeder services, to transport urban residents affected by disruptions. A case study based on the regional transportation system in the Tiantongyuan area of Beijing is presented. The proposed resilience assessment method is applied to analyze the resilience of the existing transportation system and to examine the impact of introducing micro-transit buses. Comparisons of resilience indices, performance curves, and passenger flow distributions before and after the introduction of micro-transit buses demonstrate the effectiveness of micro-transit buses in enhancing the resilience of regional transportation systems.]]></description>
      <pubDate>Tue, 28 Apr 2026 17:06:10 GMT</pubDate>
      <guid>https://trid.trb.org/View/2673212</guid>
    </item>
    <item>
      <title>Investigating intercity commuting using distance decay in a two-stage regression framework: A case study of Shenzhen Metropolitan Area in China</title>
      <link>https://trid.trb.org/View/2670397</link>
      <description><![CDATA[Metropolitan areas are the most concentrated spaces of population and economic activity. Intercity commuting is not only a core driver of metropolitan operations but also an important indicator of metropolitan integration. However, existing studies lack a systematic framework to characterize intercity commuting and compare it with intracity commuting. This study uses mobile phone signaling data from the Shenzhen Metropolitan Area and proposes a two-stage regression framework. In the first stage, a flow-based geographically weighted regression model is used to estimate distance decay coefficients; in the second stage, random forest combined with SHAP analysis is applied to examine the influence of the built environment. The results show that intercity commuting decays faster than intracity commuting and exhibits spatial heterogeneity. Along city boundaries, short-distance intercity commuting shows quick decay due to limited transport supply and administrative barriers; along the perpendicular direction, medium- and long-distance intercity commuting is influenced by cross-border coordination, high-level transport infrastructure, and housing price differences, which reduce decay, but poor connectivity or high combined costs of housing and transport can still increase it. This framework systematically reveals the distance sensitivity and spatial heterogeneity of intercity commuting, enabling comparison with intracity commuting and providing empirical evidence for metropolitan integration and sustainable development]]></description>
      <pubDate>Tue, 28 Apr 2026 17:06:10 GMT</pubDate>
      <guid>https://trid.trb.org/View/2670397</guid>
    </item>
    <item>
      <title>Exploring the influencing factors of public electric vehicle charger usage in Great Britain</title>
      <link>https://trid.trb.org/View/2694906</link>
      <description><![CDATA[Electric vehicle adoption in the UK has reached a bottleneck due to the limited availability of public chargers. Understanding the usage patterns of existing public chargers and the factors associated with them is necessary for planning future charging infrastructure. Using charger availability data from 4566 public EV chargers in Great Britain, collected at 15-min intervals between December 6, 2023, and March 31, 2024, we analysed usage patterns and associated factors in three case study regions: Greater London, Greater Manchester, and the Central Belt of Scotland. Spatial regression models were applied to explore relationships between public charger usage rates and various contextual factors across space and time. Our findings show significant regional differences in public charger usage patterns. In Greater London, the higher prevalence of flats is associated with higher public charger usage rates, particularly for nighttime charging near residential flats. Fast charger usage is also high in this region, which may reflect the demand for quick turnaround times in the region. In Greater Manchester, public charger usage rates are higher in areas densely populated with flats, whereas those with higher densities of houses or terraced housing are associated with lower usage rates. In the Central Belt of Scotland, charger usage rates are particularly high near motorways. Overall, these findings highlight the importance of developing region-specific strategies for charger deployment to support a sustainable and efficient charging network.]]></description>
      <pubDate>Tue, 28 Apr 2026 17:06:10 GMT</pubDate>
      <guid>https://trid.trb.org/View/2694906</guid>
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