Transportation Research Interdisciplinary Perspectives最新文献_第2页

Moving forward in uncertainty? A serious game for validating interventions in public–private collaboration for sustainable mobility

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-02-26 DOI: 10.1016/j.trip.2025.101364

Ruben Akse , Simone Ritter , Wijnand Veeneman , Vincent Marchau

Public and private actors who realize mobility innovations in practice often aim to reduce uncertainty through traditional project management strategies. These approaches define an end goal and use predictive tools to explore scenarios and risks. It is thereby assumed that more research is necessary and agreement can be found among decision-makers. In practice, however, these conditions are rarely met in innovation processes. Alternative strategies to deal with uncertainty have been proposed in literature that are more focused on relations between decision-makers and exploring possibilities in an iterative way, such as shared visioning and other collaborative approaches. The question is how to stimulate actors to use these approaches in practice. This study tested how altering actor perspectives and views about uncertainty led to more collaborative responses to uncertainty. A comparison has been made in a serious game setting between a baseline control session, where uncertainty was negatively framed and rewarded, and an intervention session, where uncertainty was positively framed and rewarded. The game simulated a multi-actor decision-making process of negotiating about mobility innovations for a sustainable mobility plan. We found that in both sessions, actors used collaborative strategies to deal with uncertainty, but in the control session, participants were also applying control strategies for their own organization to reduce uncertainty because of the inhibiting conditions on mindset and synergy. The results of this study indicate that bringing decision-makers in a more positive arrangement toward uncertainty leads to better multi-actor collaboration, driving sustainable mobility innovations forward.

{"title":"Moving forward in uncertainty? A serious game for validating interventions in public–private collaboration for sustainable mobility","authors":"Ruben Akse , Simone Ritter , Wijnand Veeneman , Vincent Marchau","doi":"10.1016/j.trip.2025.101364","DOIUrl":"10.1016/j.trip.2025.101364","url":null,"abstract":"<div><div>Public and private actors who realize mobility innovations in practice often aim to reduce uncertainty through traditional project management strategies. These approaches define an end goal and use predictive tools to explore scenarios and risks. It is thereby assumed that more research is necessary and agreement can be found among decision-makers. In practice, however, these conditions are rarely met in innovation processes. Alternative strategies to deal with uncertainty have been proposed in literature that are more focused on relations between decision-makers and exploring possibilities in an iterative way, such as shared visioning and other collaborative approaches. The question is how to stimulate actors to use these approaches in practice. This study tested how altering actor perspectives and views about uncertainty led to more collaborative responses to uncertainty. A comparison has been made in a serious game setting between a baseline control session, where uncertainty was negatively framed and rewarded, and an intervention session, where uncertainty was positively framed and rewarded. The game simulated a multi-actor decision-making process of negotiating about mobility innovations for a sustainable mobility plan. We found that in both sessions, actors used collaborative strategies to deal with uncertainty, but in the control session, participants were also applying control strategies for their own organization to reduce uncertainty because of the inhibiting conditions on mindset and synergy. The results of this study indicate that bringing decision-makers in a more positive arrangement toward uncertainty leads to better multi-actor collaboration, driving sustainable mobility innovations forward.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"30 ","pages":"Article 101364"},"PeriodicalIF":3.9,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Influential factors on speed reduction at vertical deflection devices in mixed traffic environments

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-02-23 DOI: 10.1016/j.trip.2025.101360

Thanawit Lertpornprasopchok , Thaned Satiennam , Wichuda Satiennam , Nopadon Kronprasert

Vertical deflection devices are widely implemented as traffic calming measures, designed to compel drivers to reduce their speeds to ensure a comfortable passage over them. However, these measures are primarily adapted from practices in developed countries, raising questions about their effectiveness in mixed-traffic environments. This study aims to investigate the factors influencing speed reductions in such contexts. The research focused on driver behavior while traversing three-speed humps and seven-speed tables located within a campus area. An Unmanned Aerial Vehicle (UAV) was employed to capture vehicle speed profiles as they navigated these devices.

2,101 speed samples were recorded, comprising 1,152 passenger cars and 949 motorcycles. Video recordings enabled the analysis of spot speeds at 10-meter intervals, starting 50 m before and extending 50 m beyond each device. Multiple linear regression analysis was utilized to identify the factors affecting speed reductions. The findings revealed that vertical deflection devices exerted a more substantial impact on reducing the speeds of passenger cars compared to motorcycles. Key factors significantly influencing speed reduction, ranked from most to least influential, included before-speed, vehicle type, device height, roadway grade, proximity to intersections, and roadway width.

These findings offer valuable insights for refining existing guidelines on the design and placement of vertical deflection devices in mixed-traffic environments.

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引用次数: 0

Investigating unobserved heterogeneity in factors of fatal and injury crashes across Italian secondary road networks: Fixed and random parameters approach

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-02-23 DOI: 10.1016/j.trip.2025.101344

Nicholas Fiorentini, Massimo Losa

Developing Safety Performance Functions (SPFs) and Crash Modification Factors (CMFs) represent one of the leading approaches for determining how infrastructure-related features impact crash likelihood. In Italy, few works investigated the causes of crash occurrences on secondary road networks, i.e., minor rural, suburban, and urban two-lane roads, connecting the primary road network (freeways and highways) with local roads. Furthermore, to the best of our knowledge, no studies addressed the issue of spatial unobserved heterogeneity in factors contributing to crash occurrence on secondary roads in Italy. To fill this gap and intending to provide an in-depth analysis of causes of Fatal and Injury (FI) crashes that occur on such networks, this paper proposes the development of SPFs and related CMFs across 905 km of Italian secondary roads. Incorporating geometrical, functional, and road context information, a Negative Binomial Regression with Fixed Parameters (FP-NBR) and Random Parameters (RP-NBR) to account for unobserved heterogeneity have been adopted for fitting 5,792 FI crashes that occurred within 2008–2016. Capturing unobserved heterogeneity affecting some of the factors, outcomes show that the RP-NBR markedly outperforms the FP-NBR in terms of predictive performance. Conversely, the latter shows a higher level of interpretation. Elasticities and CMFs indicate that traffic flow, carriageway width, driveway density, the density of intersections, and road area type are the most influential parameters, whereas longitudinal gradient and road alignment have a weaker effect on FI occurrences. These SPFs and related CMFs can improve planning activity, as well as monitoring and maintenance interventions across secondary road networks.

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引用次数: 0

Evaluating the impact of sociodemographic factors on rideshare use in the U.S. 评估美国社会人口因素对共享出行的影响

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-02-22 DOI: 10.1016/j.trip.2025.101359

Eazaz Sadeghvaziri , Ramina Javid , Nidia Constantin

Understanding ridesharing users’ demographics and travel behavior is crucial for shaping transportation policies and urban planning strategies. This study utilizes data from the NHTS 2022 to explore the characteristics of ridesharing users in the U.S. by employing an ordered logit model. The objective is to identify key predictors of rideshare frequency and assess disparities in access based on age, race, education, income, vehicle access, employment status, and public transit use. The results show that ridesharing services are used more frequently by younger people, especially those between the ages of 16 and 25, and that usage of these services declines sharply with age. Black or African Americans, as well as those with higher incomes and educational levels, are more likely to use ridesharing services. Ridesharing is substantially reduced when one resides in a rural location and has multiple cars and drivers in the household. These findings emphasize the necessity of focused policies that enhance rural communities’ transportation options and encourage fair access to ridesharing services. The finding suggests that gender-based preferences for rideshare services are relatively balanced, indicating that males and females have similar tendencies to use these services. The effects of economic considerations on ridesharing usage should be investigated further in future studies. These findings emphasize equity concerns, particularly regarding income and geographic disparities in access to ridesharing. Policy interventions, such as fare subsidies for low-income users and improved rideshare-public transit integration, may help promote more equitable mobility options.

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引用次数: 0

Translating risk narratives in socio-technical systems into infrastructure utilization metrics during compounding hazard events

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-02-22 DOI: 10.1016/j.trip.2025.101361

H.M. Imran Kays, Khondhaker Al Momin, Kanthasamy K. Muraleetharan, Arif Mohaimin Sadri

Risk communication in times of disasters is complex, involving rapid and diverse communication in social networks as well as limited mobilization capacity and operational constraints of physical infrastructure networks. Despite a growing literature on infrastructure interdependencies and co-dependent social-physical systems, an in-depth understanding of how risk communication in online social networks weighs into physical infrastructure networks during major disasters remains limited, let alone in compounding risk events. This study analyzes large-scale datasets of crisis mobility and activity-related social interactions and concerns available through Twitter (now ’X’) for communities impacted by an ice storm in October 2020 in Oklahoma. Compounded by the COVID-19 pandemic, the ice storm caused significant traffic disruptions due to excessive ice accumulation. By using Twitter’s academic Application Programming Interface (API) that provides complete and technically unbiased data, geotagged tweets (∼25.7 K) were collected covering the entire Oklahoma. First, the study employes natural language processing techniques, such as topic model and BERT model to classify crisis narratives (i.e., tweets), and text quantification techniques to analyze them. Next, the geotagged quantified tweets are transformed into a weighting factor for the transportation network utilization during disaster by employing spatial analysis. Finally, using network analysis, this study develops an infrastructure risk map that integrates vulnerabilities of the co-located road network. The findings reveal that this approach can uncover significant critical infrastructure disruptions during compounding disasters. By mapping such risks, the study provides emergency management agencies with situational awareness, facilitating more efficient resource allocation and prioritization aimed at enhancing disaster response efforts.

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引用次数: 0

The logistics of grain exports from wartime Ukraine: What are the highest priority areas to Address?

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-02-21 DOI: 10.1016/j.trip.2025.101363

Viktoriia Yanovska , Marcin Król , Russell Pittman

Ukraine is a key global producer and exporter of grain. In peacetime, over 70% of Ukraine’s grain production is exported, and over 90% of these exports go through Black Sea ports. The Russian invasion of Ukraine, and consequently the occupation, blockade, or destruction of these ports, has disrupted the maritime supply chains. In this paper we examine the difficulties experienced in attempts to substitute other modes and outlets for grain exports. We consider the existing literature, which identifies and discusses a large and varied set of problems facing this process of substitution but leaves a crucial question unanswered: Which are the highest priority issues which must be addressed before other reform policies can be effective? We report the results of our use of directed surveys and interviews with Ukrainian industry insiders to seek to identify which areas seem to be most important and appropriate for primary and accelerated policy measures. The results suggest two issues that should be the highest priorities for policymakers at this point: 1) the inadequacy of alternative export modes and locations, unprepared as they were for mammoth volume diversions from the Black Sea ports (including rail capacity and other issues on the EU sides of borders), and 2) the long-standing weaknesses of the rail monopolist Ukrzhaliznytsia, with years of funding neglect resulting in shortage and obsolescence of locomotives and rolling stock as well as a shortage of skilled labor.

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引用次数: 0

The intersection of race and class: Neighborhood socio-economic status and fatal pedestrian and bicycle collisions by race/ethnicity

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-02-14 DOI: 10.1016/j.trip.2025.101357

Joseph Gibbons , Bruce Appleyard , Megan Honey , Nell Ahangarfabrik

Transit safety research has paid considerable interest to the likelihood of fatal bicycle and pedestrian collisions by race/ethnicity. Not as well understood is how these racial disparities may differ by neighborhood socioeconomic status (SES). Utilizing data from multiple sources, including the California Statewide Integrated Traffic Records System (SWITRS), we analyze how neighborhood SES influences collision outcomes by race/ethnicity across California. Using generalized linear mixed models, we find that higher SES neighborhoods generally have lower rates of fatal collisions, particularly benefiting White cyclists and pedestrians. However, Black and Hispanic individuals do not experience the same decline in the chance of fatal collisions, highlighting ongoing racial/ethnic disparities. Our results emphasize the need for targeted interventions to address these disparities, including equitable infrastructure investments, road safety programs tailored to at-risk populations, and driver education to reduce aggressive behaviors towards minority road users. Policymakers should prioritize inclusive infrastructure that meets the needs of all communities, particularly those with higher proportions of racial/ethnic minorities.

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引用次数: 0

How do transportation barriers affect healthcare visits? Using mobile-based trajectory data to inform health equity

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-02-12 DOI: 10.1016/j.trip.2025.101345

Mohammad Maleki, Janille Smith-Colin

Transportation barriers to healthcare access are a critical issue, leading to unmet healthcare needs for millions of Americans each year, particularly among disadvantaged groups. Understanding and addressing these barriers is thus an important step toward improving health equity. To understand how transportation barriers affect healthcare access, this study first utilized a mobile-based trajectory data to map healthcare visit patterns in the City of Dallas in 2021. Next, a random forest model integrated with spatial analysis techniques was employed to examine the associations of transportation factors and socioeconomic status with healthcare visits. Additionally, to inform health equity decisions, the impact of transportation barriers was compared across racial demographics. Results showed that higher transportation network densities was associated with increased healthcare visits, while higher transit and drive time to healthcare, traffic fatalities, and transport cost burden aligned with decreased healthcare visits. Socio-economic factors including higher Medicaid coverage and higher incomes were positively associated with increased visits. Results also showed that Black-white racial inequities in healthcare visits were amplified by transportation barriers. By introducing mobile-based trajectories for healthcare accessibility analysis, this study contributes to the existing literature by enhancing the understanding and resolution of transportation-related barriers to healthcare access.

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引用次数: 0

Charting the landscape of rail human factors and automation: A systematic scoping review

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-02-12 DOI: 10.1016/j.trip.2025.101350

Sarah A. Kusumastuti , Tom H.J. Kolkman , Julia C. Lo , Simone Borsci

As railway systems in Europe move towards increased integration and automation, understanding the human factors implications is critical. This systematic scoping review examines research on human factors and automation in railways, with a focus on studies involving railway operators such as train drivers and traffic controllers. Following PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines, we explored six databases and solicited expert recommendations, identifying 65 relevant studies published since 2000. Studies were categorized based on methodology and analysed to identify key themes, measures, and research priorities. The review revealed five main types of studies: empirical simulations (32%), non-simulation studies (25%), literature reviews (8%), analysis of existing technologies (31%), and new technologies (20%). Key research priorities included assessing the impact of automation on operator performance, workload, and situational awareness. Human-in-the-loop simulations emerged as a crucial method for evaluating new automated systems. Nevertheless, gaps emerged, e.g., studies focus mainly on drivers, use small sample sizes, and pay little attention to operators’ communications. Moreover, researchers seem to have scattered goals and assessment practices, with limited cross-contamination among different centres and across domains. If the goal is to integrate the European rail network, policymakers should push not only for technological integration but also for cultural and methodological integration, in which human factors can play a pivotal role.

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引用次数: 0

Estimating uncertainty and Misery (Index) of the paratransit experience

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2025-02-12 DOI: 10.1016/j.trip.2025.101347

Aditi Misra , Wesley Marshall , Lucy O’Sullivan , Molly Wagner , Manish Shirgaokar

Transportation access significantly impacts inclusion, well-being, and health. However, people with disabilities often struggle to use fixed-route transit due to mobility challenges. The Americans with Disabilities Act (ADA) mandates complementary paratransit services, but these services remain inefficient and unreliable.

This study analyzes 1.16 million paratransit trips in the Denver region, comparing travel time reliability with car travel times using FHWA’s reliability indices: the Planning Index, Buffer Index, and Misery Index. We normalized the data using the paratransit user trip rate (PUTR), a ratio of trip distance to trip time, and conducted user interviews to provide insights into lived experiences and perceptions of service quality.

The results suggest significantly lower travel efficiency compared to car travel, with paratransit users experiencing much longer and less predictable trips. More specifically, paratransit trip times are highly volatile, requiring riders to plan for worst-case scenarios to ensure on-time arrival 95% of the time. On average, paratransit users must allocate 3 hours for trips that would take 20–30 minutes by car. The unpredictability of travel forces riders to overbudget time, significantly impacting daily mobility and quality of life.

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引用次数: 0