The spread of congestion in urban road networks is a complex phenomenon with spatial and temporal dimensions; quantitative analysis of the phenomenon would allow traffic managers come up with effective relief measures. In this study, we present three findings from two real urban road networks (Shenzhen and Chengdu in China). First, we show that integration of the re-congestion assumption through Susceptible-Exposed-Infected-Recovered-Susceptible (SEIRS) models markedly enhances the predictive robustness of conventional fragmental propagation models (e.g. SIR and SEIR). Second, we show that links with high betweenness centralities create congestion seeds at the beginning of peak periods which persist through the whole peak period. A component of congestion propagates from such cores and then shrinks and dissolves through them. Third, we demonstrate the impact of congested component sizes on network functionality.
{"title":"Probing urban road network congestion propagation and dissipation","authors":"Reza Marzban , Meisam Akbarzadeh , Anastasios Kouvelas , Francesco Corman","doi":"10.1016/j.trip.2026.101839","DOIUrl":"10.1016/j.trip.2026.101839","url":null,"abstract":"<div><div>The spread of congestion in urban road networks is a complex phenomenon with spatial and temporal dimensions; quantitative analysis of the phenomenon would allow traffic managers come up with effective relief measures. In this study, we present three findings from two real urban road networks (Shenzhen and Chengdu in China). First, we show that integration of the re-congestion assumption through Susceptible-Exposed-Infected-Recovered-Susceptible (SEIRS) models markedly enhances the predictive robustness of conventional fragmental propagation models (e.g. SIR and SEIR). Second, w<strong>e</strong> show that links with high betweenness centralities create congestion seeds at the beginning of peak periods which persist through the whole peak period. A component of congestion propagates from such cores and then shrinks and dissolves through them. Third, we demonstrate the impact of congested component sizes on network functionality.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101839"},"PeriodicalIF":3.8,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-30DOI: 10.1016/j.trip.2026.101875
Leon Klos , Claudia Lazarides , Rebecca Pedrick-Case , Richard Fry , Hagen Wäsche , Claudia Niessner , Alexander Woll
Adolescents need safe infrastructure, accessible places and comfort to cycle for transport. However, the bikeability literature focuses almost exclusively on adult cycling in large cities. The aims of the study are to operationalise bikeability characteristics adapted to adolescents in the German context using open GIS data and assess the relation between bikeability characteristics within different cycling distances and cycling to school in adolescents living in cities, towns and rural areas.
Cycling infrastructure and access to different destinations relevant to adolescents were operationalised using open GIS data. German-wide cycling-to-school data of 1,133 adolescents aged 11–17 years (50.0 % girls) from the Motorik-Modul Study were linked to the bikeability measures. A logistic ridge regression identified relevant bikeability characteristics in cities, towns and rural areas within five different cycling radii between 4–20 min.
Adolescents living in cities had higher odds of cycling if there were more residential streets with a slow speed limit within a 16-minute cycling radius from home and better access to outdoor sports facilities, shops and food outlets within 4–16 min of cycling. In towns, cycling was positively associated with both slow residential streets and separated cycling infrastructure, as well as access to schools, shops and food outlets, outdoor sports facilities, and a larger residential population within similar travel ranges.
Cycling may be facilitated by different infrastructure and accessibility characteristics in cities and towns. Future bikeability research should target vulnerable groups and people living in less densely populated areas. This work lays the groundwork for an adolescent bikeability index for Germany.
{"title":"Groundwork for adolescent bikeability assessment in Germany: An open GIS and regularised regression approach across cities, towns and rural areas","authors":"Leon Klos , Claudia Lazarides , Rebecca Pedrick-Case , Richard Fry , Hagen Wäsche , Claudia Niessner , Alexander Woll","doi":"10.1016/j.trip.2026.101875","DOIUrl":"10.1016/j.trip.2026.101875","url":null,"abstract":"<div><div>Adolescents need safe infrastructure, accessible places and comfort to cycle for transport. However, the bikeability literature focuses almost exclusively on adult cycling in large cities. The aims of the study are to operationalise bikeability characteristics adapted to adolescents in the German context using open GIS data and assess the relation between bikeability characteristics within different cycling distances and cycling to school in adolescents living in cities, towns and rural areas.</div><div>Cycling infrastructure and access to different destinations relevant to adolescents were operationalised using open GIS data. German-wide cycling-to-school data of 1,133 adolescents aged 11–17 years (50.0 % girls) from the Motorik-Modul Study were linked to the bikeability measures. A logistic ridge regression identified relevant bikeability characteristics in cities, towns and rural areas within five different cycling radii between 4–20 min.</div><div>Adolescents living in cities had higher odds of cycling if there were more residential streets with a slow speed limit within a 16-minute cycling radius from home and better access to outdoor sports facilities, shops and food outlets within 4–16 min of cycling. In towns, cycling was positively associated with both slow residential streets and separated cycling infrastructure, as well as access to schools, shops and food outlets, outdoor sports facilities, and a larger residential population within similar travel ranges.</div><div>Cycling may be facilitated by different infrastructure and accessibility characteristics in cities and towns. Future bikeability research should target vulnerable groups and people living in less densely populated areas. This work lays the groundwork for an adolescent bikeability index for Germany.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101875"},"PeriodicalIF":3.8,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-30DOI: 10.1016/j.trip.2026.101854
Farzane Omrani, Rouzbeh Shad, Marjan Ghaemi, Safa Hadi Abdulzahra, Seyed Ali Ziaee
Pedestrians account for more than one-fifth of global road fatalities each year, with bus stops in metropolitan areas being high-risk locations due to crowding and frequent crossings. Developing effective interventions to enhance pedestrian safety requires a deep understanding of the built environment factors that contribute to pedestrian crashes across different urban settings. Since pedestrian injuries and fatalities are primarily preventable, applying diverse datasets from various countries is essential to identify and compare the key built environment features influencing pedestrian crashes around bus stops. This study evaluates and predicts the key built environment factors affecting pedestrian crashes within buffer distances of 50, 150, and 250 m around bus stops, using datasets from New York (United States), Toronto (Canada), and Greater Melbourne (Australia) between 2012 and 2016. Three modeling approaches, Random Forest (RF), Multi-Layer Perceptron (MLP), and Ordinal Logistic Regression (OLR), were applied with systematic hyperparameter tuning, and the Synthetic Minority Over-sampling Technique (SMOTE) was applied to address class imbalance. Model performance was compared across cities, buffer sizes, and training–validation–testing splits, and external cross-city validation was conducted to evaluate transferability. Results show that RF consistently outperforms MLP and OLR by capturing nonlinear interactions between built environment features more effectively, with the best-performing RF models for New York and Toronto using a 250-meter buffer, demonstrating that larger buffer distances better capture the influence of the built environment on crash occurrences. Furthermore, Common Important Features (CIF) and Common Important Subfeatures (CIS) are extracted to rank and compare the most influential factors affecting pedestrian crashes in each case study. This information may be used to persuade political leaders to develop, implement, and support pedestrian safety measures around bus stops.
{"title":"Predicting pedestrian crash risk around bus stops: A multi-city random forest approach","authors":"Farzane Omrani, Rouzbeh Shad, Marjan Ghaemi, Safa Hadi Abdulzahra, Seyed Ali Ziaee","doi":"10.1016/j.trip.2026.101854","DOIUrl":"10.1016/j.trip.2026.101854","url":null,"abstract":"<div><div>Pedestrians account for more than one-fifth of global road fatalities each year, with bus stops in metropolitan areas being high-risk locations due to crowding and frequent crossings. Developing effective interventions to enhance pedestrian safety requires a deep understanding of the built environment factors that contribute to pedestrian crashes across different urban settings. Since pedestrian injuries and fatalities are primarily preventable, applying diverse datasets from various countries is essential to identify and compare the key built environment features influencing pedestrian crashes around bus stops. This study evaluates and predicts the key built environment factors affecting pedestrian crashes within buffer distances of 50, 150, and 250 m around bus stops, using datasets from New York (United States), Toronto (Canada), and Greater Melbourne (Australia) between 2012 and 2016. Three modeling approaches, Random Forest (RF), Multi-Layer Perceptron (MLP), and Ordinal Logistic Regression (OLR), were applied with systematic hyperparameter tuning, and the Synthetic Minority Over-sampling Technique (SMOTE) was applied to address class imbalance. Model performance was compared across cities, buffer sizes, and training–validation–testing splits, and external cross-city validation was conducted to evaluate transferability. Results show that RF consistently outperforms MLP and OLR by capturing nonlinear interactions between built environment features more effectively, with the best-performing RF models for New York and Toronto using a 250-meter buffer, demonstrating that larger buffer distances better capture the influence of the built environment on crash occurrences. Furthermore, Common Important Features (CIF) and Common Important Subfeatures (CIS) are extracted to rank and compare the most influential factors affecting pedestrian crashes in each case study. This information may be used to persuade political leaders to develop, implement, and support pedestrian safety measures around bus stops.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101854"},"PeriodicalIF":3.8,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-28DOI: 10.1016/j.trip.2026.101867
Tülüce Tokat , Francesco Tommasi , Andrea Ceschi , Oscar Oviedo-Trespalacios , Riccardo Sartori
Following the impetus to implement preventive road-safety programs, understanding how work-related dimensions intersect with road safety is noteworthy. That is, every day, people use roads to commute to work or travel for work (e.g., truck drivers, food delivery). Work-related travel results in distinctive and usually higher patterns of risk. This narrative review aims to offer a vision of the intersection between road transport safety and organisational psychology, a discipline devoted to the study of individuals’ psychology in the workplace. By bridging distinct aspects of research, the paper highlights the value of an interdisciplinary perspective and presents a framework comprising four major research levels (i.e., institutional, organisational, individual, and situational), thereby advancing new strategies for research and practice to promote road safety. Even though these levels are related, handling them separately enables a thorough analysis of the suggested interdisciplinary framework. The paper proposes ideas for future research that can combine the purposes of the two research fields while also advancing road transport safety.
{"title":"From work environment to roadway: A narrative review on organizational psychology’s role in road safety","authors":"Tülüce Tokat , Francesco Tommasi , Andrea Ceschi , Oscar Oviedo-Trespalacios , Riccardo Sartori","doi":"10.1016/j.trip.2026.101867","DOIUrl":"10.1016/j.trip.2026.101867","url":null,"abstract":"<div><div>Following the impetus to implement preventive road-safety programs, understanding how work-related dimensions intersect with road safety is noteworthy. That is, every day, people use roads to commute to work or travel for work (e.g., truck drivers, food delivery). Work-related travel results in distinctive and usually higher patterns of risk. This narrative review aims to offer a vision of the intersection between road transport safety and organisational psychology, a discipline devoted to the study of individuals’ psychology in the workplace. By bridging distinct aspects of research, the paper highlights the value of an interdisciplinary perspective and presents a framework comprising four major research levels (i.e., institutional, organisational, individual, and situational), thereby advancing new strategies for research and practice to promote road safety. Even though these levels are related, handling them separately enables a thorough analysis of the suggested interdisciplinary framework. The paper proposes ideas for future research that can combine the purposes of the two research fields while also advancing road transport safety.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101867"},"PeriodicalIF":3.8,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-27DOI: 10.1016/j.trip.2026.101848
Carlos César Ribeiro Santos , Leonardo Sanches de Carvalho
The advancement of space exploration demands novel organizational and logistical approaches capable of supporting long-duration missions in interplanetary environments. This article proposes an interplanetary logistics governance framework grounded in the theory of organizational networks, with a focus on resilience, interoperability and multilateral collaboration. The methodology employs theoretical and empirical triangulation, integrating a systematic literature review, analysis of four case studies (ISS, Artemis, SpaceX/Blue Origin and OSIP-ESA), complex network modeling using topological metrics and structural robustness simulations. The resulting framework is structured around five core pillars: distributed governance, collaborative logistics, data sovereignty and security, technical and organizational interoperability and distributed artificial intelligence. Empirical application demonstrates the framework’s alignment with diverse institutional architectures and its potential to reduce costs, expand logistical capacity and enhance failure resilience. A phased implementation roadmap spanning the period 2025–2040 is presented, including recommendations for progressive adoption in terrestrial, cislunar and interplanetary contexts. Furthermore, a case study focused on the Artemis Program illustrates the practical feasibility of the proposed model. The article also outlines a research agenda comprising eight priority areas aimed at integrating the framework into international treaties and space-related public policies. The results indicate that the proposed framework provides a solid conceptual and operational foundation for transitioning from centralized models to collaborative, modular and sustainable logistical ecosystems-thereby contributing to a new era of interplanetary governance based on intelligent networks.
{"title":"A network-based framework for interplanetary logistics governance: organizational resilience and technological cooperation in space missions","authors":"Carlos César Ribeiro Santos , Leonardo Sanches de Carvalho","doi":"10.1016/j.trip.2026.101848","DOIUrl":"10.1016/j.trip.2026.101848","url":null,"abstract":"<div><div>The advancement of space exploration demands novel organizational and logistical approaches capable of supporting long-duration missions in interplanetary environments. This article proposes an interplanetary logistics governance framework grounded in the theory of organizational networks, with a focus on resilience, interoperability and multilateral collaboration. The methodology employs theoretical and empirical triangulation, integrating a systematic literature review, analysis of four case studies (ISS, Artemis, SpaceX/Blue Origin and OSIP-ESA), complex network modeling using topological metrics and structural robustness simulations. The resulting framework is structured around five core pillars: distributed governance, collaborative logistics, data sovereignty and security, technical and organizational interoperability and distributed artificial intelligence. Empirical application demonstrates the framework’s alignment with diverse institutional architectures and its potential to reduce costs, expand logistical capacity and enhance failure resilience. A phased implementation roadmap spanning the period 2025–2040 is presented, including recommendations for progressive adoption in terrestrial, cislunar and interplanetary contexts. Furthermore, a case study focused on the Artemis Program illustrates the practical feasibility of the proposed model. The article also outlines a research agenda comprising eight priority areas aimed at integrating the framework into international treaties and space-related public policies. The results indicate that the proposed framework provides a solid conceptual and operational foundation for transitioning from centralized models to collaborative, modular and sustainable logistical ecosystems-thereby contributing to a new era of interplanetary governance based on intelligent networks.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101848"},"PeriodicalIF":3.8,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-26DOI: 10.1016/j.trip.2026.101874
Paul Harscouët , Ciarán Ferrie , Nakisa Soltani , Brian Caulfield , Anna Mölter
Cycling is a key component of the green transition, and it offers numerous environmental and health benefits, including reduced emissions, lower air and noise pollution, and improved physical wellbeing. Commuting to school by bicycle is one way to normalize cycling among children, which can lead to a long term behavioural routine. However, safety concerns remain a significant barrier, particularly in car-oriented countries such as Ireland. This study investigates factors influencing parental perceptions of safety when cycling to school with their children.
Data were collected through an online survey (n = 342) and two focus groups (n = 10) with parents who cycle to school with their children. The survey combined multiple-choice and open-ended questions, and the focus groups followed a semi-structured format. Quantitative data were analysed using descriptive statistics and chi-square tests, while qualitative data underwent a thematic analysis.
Findings show that 43% of survey respondents felt safe cycling to school, while 25% of respondents rarely or never felt safe. The thematic analysis identified four key themes influencing perceived safety: road infrastructure, interactions with other road users, coping strategies, and broader social factors, such as gender. Major concerns included poorly designed or absent cycling infrastructure, disregard for traffic laws, weak enforcement, and unsafe driver behaviour. Coping strategies ranged from cycling on footpaths or using alternative routes to restricting children’s cycling altogether.
The results identified specific parameters that affect families’ perceived safety of bike commutes In Ireland. These findings will inform subsequent research on identifying and mitigating unsafe areas along cycle routes to schools.
{"title":"“I’m a nervous wreck when I cycle“ cycling to school with children in Ireland : Insights from parents","authors":"Paul Harscouët , Ciarán Ferrie , Nakisa Soltani , Brian Caulfield , Anna Mölter","doi":"10.1016/j.trip.2026.101874","DOIUrl":"10.1016/j.trip.2026.101874","url":null,"abstract":"<div><div>Cycling is a key component of the green transition, and it offers numerous environmental and health benefits, including reduced emissions, lower air and noise pollution, and improved physical wellbeing. Commuting to school by bicycle is one way to normalize cycling among children, which can lead to a long term behavioural routine. However, safety concerns remain a significant barrier, particularly in car-oriented countries such as Ireland. This study investigates factors influencing parental perceptions of safety when cycling to school with their children.</div><div>Data were collected through an online survey (n = 342) and two focus groups (n = 10) with parents who cycle to school with their children. The survey combined multiple-choice and open-ended questions, and the focus groups followed a semi-structured format. Quantitative data were analysed using descriptive statistics and chi-square tests, while qualitative data underwent a thematic analysis.</div><div>Findings show that 43% of survey respondents felt safe cycling to school, while 25% of respondents rarely or never felt safe. The thematic analysis identified four key themes influencing perceived safety: road infrastructure, interactions with other road users, coping strategies, and broader social factors, such as gender. Major concerns included poorly designed or absent cycling infrastructure, disregard for traffic laws, weak enforcement, and unsafe driver behaviour. Coping strategies ranged from cycling on footpaths or using alternative routes to restricting children’s cycling altogether.</div><div>The results identified specific parameters that affect families’ perceived safety of bike commutes In Ireland. These findings will inform subsequent research on identifying and mitigating unsafe areas along cycle routes to schools.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101874"},"PeriodicalIF":3.8,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-25DOI: 10.1016/j.trip.2026.101853
Gina Cynthia Raphita Hasibuan , Muhammad Ridwan Anas , Nurul Ika Putri Dalimunthe , Muhammad Thoriq Al Fath , Rezky Ariessa Dewi , Gea Geby Aurora Syafridon , Indra Jaya , Syahrizal
This study conducts an extensive bibliometric review to evaluate the global evolution of pavement condition assessment and maintenance research over the last three decades. Using a dataset of 634 Scopus-indexed publications, the study applies co-authorship, citation analysis, keyword co-occurrence, bibliographic coupling, and text-based mapping to explore scholarly productivity, thematic clusters, and technological routes. Findings highlight a growing concentration around core evaluation indices such as PCI and IRI, with newer studies embracing machine learning, remote sensing, and decision-support systems. Research leadership remains concentrated in countries with advanced road infrastructure, particularly the United States, China, and Canada although contributions from emerging economies are steadily growing. Despite technological progress, a gap still exists between academic innovation and practical application. Only a small portion of the literature has influenced real-world practice, mainly because of limited resources, fragmented data, and a lack of interdisciplinary collaboration. Case studies from the Washington State Department of Transportation (DOT) and Maine DOT illustrate effective implementation of data driven and AI-enabled pavement systems. This underscores the potential of AI to automate condition assessments, enhance predictive modeling, and optimize rehabilitation strategies. However, the study also reveals key limitations, including limited model generalizability, challenges in reproducibility, and varying levels of stakeholder readiness. Future research should focus on developing open-access datasets, collaborative validation frameworks, and practical toolkits that can be readily adopted by road agencies. Moreover, integrating AI into research workflows offers valuable opportunities to connect theory with practice, creating smoother pathways from academic innovation to real-world implementation and ensuring that research delivers tangible, lasting impact.
{"title":"A Global Perspective on Road Condition Assessment and Maintenance: Trends in Research and Technology Integration","authors":"Gina Cynthia Raphita Hasibuan , Muhammad Ridwan Anas , Nurul Ika Putri Dalimunthe , Muhammad Thoriq Al Fath , Rezky Ariessa Dewi , Gea Geby Aurora Syafridon , Indra Jaya , Syahrizal","doi":"10.1016/j.trip.2026.101853","DOIUrl":"10.1016/j.trip.2026.101853","url":null,"abstract":"<div><div>This study conducts an extensive bibliometric review to evaluate the global evolution of pavement condition assessment and maintenance research over the last three decades. Using a dataset of 634 Scopus-indexed publications, the study applies co-authorship, citation analysis, keyword co-occurrence, bibliographic coupling, and text-based mapping to explore scholarly productivity, thematic clusters, and technological routes. Findings highlight a growing concentration around core evaluation indices such as PCI and IRI, with newer studies embracing machine learning, remote sensing, and decision-support systems. Research leadership remains concentrated in countries with advanced road infrastructure, particularly the United States, China, and Canada although contributions from emerging economies are steadily growing. Despite technological progress, a gap still exists between academic innovation and practical application. Only a small portion of the literature has influenced real-world practice, mainly because of limited resources, fragmented data, and a lack of interdisciplinary collaboration. Case studies from the Washington State Department of Transportation (DOT) and Maine DOT illustrate effective implementation of data driven and AI-enabled pavement systems. This underscores the potential of AI to automate condition assessments, enhance predictive modeling, and optimize rehabilitation strategies. However, the study also reveals key limitations, including limited model generalizability, challenges in reproducibility, and varying levels of stakeholder readiness. Future research should focus on developing open-access datasets, collaborative validation frameworks, and practical toolkits that can be readily adopted by road agencies. Moreover, integrating AI into research workflows offers valuable opportunities to connect theory with practice, creating smoother pathways from academic innovation to real-world implementation and ensuring that research delivers tangible, lasting impact.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101853"},"PeriodicalIF":3.8,"publicationDate":"2026-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Since some types of psychiatric disorders and medications may affect car driving performance and driving fitness, patients are required to obtain medical certificates regarding their fitness to drive when they obtain or renew their driver’s licenses. It is, however, difficult for physicians to evaluate patients’ driving fitness. We propose a method for evaluating the driving fitness of patients with psychiatric disorders based on driving data collected with a driving simulator (DS). We developed a machine learning (ML) model that discriminates whether a subject’s driving is normal or performance-compromised, which was trained with normal and performance-compromised driving data collected from 25 healthy participants with and without consumption of alcohol. In this study, driving under alcohol administration is defined as blood alcohol concentration (BAC) 0.5 mg/ml. We tested the trained model using healthy participants’ driving data that were not used for training, and a sensitivity of 100%, a specificity of 97%, and an AUC of 0.98 were achieved. In addition, we applied the trained model to driving data collected from 43 patients with schizophrenia as a polit study. The performance of the model was verified from the viewpoint of the patient’s clinical information. The model correctly discriminated the driving data of patients with factors affecting driving, such as severe psychiatric symptoms, high medication dosage, and lack of driving experience. The proposed method contributes to assisting patients with schizophrenia disorders, as well as their attending physicians in making decisions about patients’ driving fitness.
{"title":"Machine-learning evaluation of driving performance in schizophrenia: A pilot study with short-duration driving simulator tasks","authors":"Koichi Fujiwara , Shuji Tsunoda , Seiko Miyata , Akiko Yamaguchi , Shogo Kitagawa , Yuki Konishi , Reiji Yoshimura , Isao Taguchi , Yutaka Sawa , Kunihiro Iwamoto , Norio Ozaki","doi":"10.1016/j.trip.2026.101860","DOIUrl":"10.1016/j.trip.2026.101860","url":null,"abstract":"<div><div>Since some types of psychiatric disorders and medications may affect car driving performance and driving fitness, patients are required to obtain medical certificates regarding their fitness to drive when they obtain or renew their driver’s licenses. It is, however, difficult for physicians to evaluate patients’ driving fitness. We propose a method for evaluating the driving fitness of patients with psychiatric disorders based on driving data collected with a driving simulator (DS). We developed a machine learning (ML) model that discriminates whether a subject’s driving is normal or performance-compromised, which was trained with normal and performance-compromised driving data collected from 25 healthy participants with and without consumption of alcohol. In this study, driving under alcohol administration is defined as blood alcohol concentration (BAC) <span><math><mo>≥</mo></math></span> 0.5 mg/ml. We tested the trained model using healthy participants’ driving data that were not used for training, and a sensitivity of 100%, a specificity of 97%, and an AUC of 0.98 were achieved. In addition, we applied the trained model to driving data collected from 43 patients with schizophrenia as a polit study. The performance of the model was verified from the viewpoint of the patient’s clinical information. The model correctly discriminated the driving data of patients with factors affecting driving, such as severe psychiatric symptoms, high medication dosage, and lack of driving experience. The proposed method contributes to assisting patients with schizophrenia disorders, as well as their attending physicians in making decisions about patients’ driving fitness.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101860"},"PeriodicalIF":3.8,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-24DOI: 10.1016/j.trip.2026.101869
Timothée Thierry Odi Enyegue , Mariam Mohaman Dairou , Anne-Marie Ndzie Bidima II , Emmanuel Tchinzie , Désiré Bin-nga , Armand Simon Zogo Tsala , André Abanda , Emmanuel Yamb , Didier Fokwa
The valorization of plastic waste in road construction represents a promising solution to both environmental and infrastructure challenges in developing countries. This study investigates the mechanical, economic, and environmental performance of asphalt mixtures modified with recycled polyethylene terephthalate (PET) in the Cameroonian context. PET was incorporated into asphalt mixtures at different contents (0–7% by weight of bitumen), and the resulting mixes were evaluated using standard mechanical tests, including Marshall stability, flow, compactness, Marshall creep, and water sensitivity. The results show that PET modification significantly improves the mechanical performance of asphalt mixtures up to an optimal content of 5%, with an increase in Marshall stability, a reduction in permanent deformation, and satisfactory resistance to moisture damage compared to conventional asphalt. Beyond this threshold, mechanical performance decreases due to reduced workability and excessive stiffening of the mixture. An economic assessment indicates that PET-modified asphalt can reduce material costs by partially substituting bitumen, assuming local collection and processing of plastic waste. A simplified life cycle assessment (cradle-to-gate) focusing on energy consumption and greenhouse gas emissions highlights a net environmental benefit at optimal PET content, despite increased processing energy. The combined multicriteria analysis demonstrates that a PET content of approximately 5% provides the best compromise between mechanical performance, cost efficiency, and environmental impact. This study highlights the feasibility of integrating recycled PET into asphalt mixtures for tropical regions and provides practical guidance for sustainable road construction in sub-Saharan Africa.
{"title":"Multi-criteria assessment of recycled polyethylene terephthalate (PET) incorporation in bituminous mixtures: application to the cameroonian context","authors":"Timothée Thierry Odi Enyegue , Mariam Mohaman Dairou , Anne-Marie Ndzie Bidima II , Emmanuel Tchinzie , Désiré Bin-nga , Armand Simon Zogo Tsala , André Abanda , Emmanuel Yamb , Didier Fokwa","doi":"10.1016/j.trip.2026.101869","DOIUrl":"10.1016/j.trip.2026.101869","url":null,"abstract":"<div><div>The valorization of plastic waste in road construction represents a promising solution to both environmental and infrastructure challenges in developing countries. This study investigates the mechanical, economic, and environmental performance of asphalt mixtures modified with recycled polyethylene terephthalate (PET) in the Cameroonian context. PET was incorporated into asphalt mixtures at different contents (0–7% by weight of bitumen), and the resulting mixes were evaluated using standard mechanical tests, including Marshall stability, flow, compactness, Marshall creep, and water sensitivity. The results show that PET modification significantly improves the mechanical performance of asphalt mixtures up to an optimal content of 5%, with an increase in Marshall stability, a reduction in permanent deformation, and satisfactory resistance to moisture damage compared to conventional asphalt. Beyond this threshold, mechanical performance decreases due to reduced workability and excessive stiffening of the mixture. An economic assessment indicates that PET-modified asphalt can reduce material costs by partially substituting bitumen, assuming local collection and processing of plastic waste. A simplified life cycle assessment (cradle-to-gate) focusing on energy consumption and greenhouse gas emissions highlights a net environmental benefit at optimal PET content, despite increased processing energy. The combined multicriteria analysis demonstrates that a PET content of approximately 5% provides the best compromise between mechanical performance, cost efficiency, and environmental impact. This study highlights the feasibility of integrating recycled PET into asphalt mixtures for tropical regions and provides practical guidance for sustainable road construction in sub-Saharan Africa.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101869"},"PeriodicalIF":3.8,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-24DOI: 10.1016/j.trip.2026.101866
Paula Penagos , Trilce Encarnación , Carlos A. Gonzalez-Calderon
The sustained growth of online sales has increased pressure on urban logistics systems, especially last-mile operations. The freight traffic generated by parcel deliveries creates negative social, environmental, and economic externalities. To mitigate these negative effects, parcel lockers are considered a promising solution to optimize routes, decrease operational costs, and avoid failed deliveries.
This paper assesses consumers’ intention to adopt lockers as an alternative for last-mile delivery in an emerging economy. Survey data were collected in the Medellin Metropolitan Area of Colombia. A Structural Equation Model is estimated to determine the consumers’ intention to adopt parcel lockers. The results indicate that parcel lockers are generally perceived as easy to use, and consumers expect their delivery speed to be comparable to traditional methods. Additionally, consumers who identify as innovative and environmentally conscious are more likely to choose parcel locker deliveries, with environmental awareness often driving their innovative behavior.
However, the findings also revealed that although most respondents consider themselves environmentally conscious, they do not strongly associate the system adoption with clear environmental benefits. This suggests a gap in awareness or understanding of the sustainability advantages of parcel lockers, emphasizing the need for better education and communication on their environmental impact.
{"title":"Drivers of consumers’ adoption of parcel lockers as an alternative last-mile delivery solution in emerging economies","authors":"Paula Penagos , Trilce Encarnación , Carlos A. Gonzalez-Calderon","doi":"10.1016/j.trip.2026.101866","DOIUrl":"10.1016/j.trip.2026.101866","url":null,"abstract":"<div><div>The sustained growth of online sales has increased pressure on urban logistics systems, especially last-mile operations. The freight traffic generated by parcel deliveries creates negative social, environmental, and economic externalities. To mitigate these negative effects, parcel lockers are considered a promising solution to optimize routes, decrease operational costs, and avoid failed deliveries.</div><div>This paper assesses consumers’ intention to adopt lockers as an alternative for last-mile delivery in an emerging economy. Survey data were collected in the Medellin Metropolitan Area of Colombia. A Structural Equation Model is estimated to determine the consumers’ intention to adopt parcel lockers. The results indicate that parcel lockers are generally perceived as easy to use, and consumers expect their delivery speed to be comparable to traditional methods. Additionally, consumers who identify as innovative and environmentally conscious are more likely to choose parcel locker deliveries, with environmental awareness often driving their innovative behavior.</div><div>However, the findings also revealed that although most respondents consider themselves environmentally conscious, they do not strongly associate the system adoption with clear environmental benefits. This suggests a gap in awareness or understanding of the sustainability advantages of parcel lockers, emphasizing the need for better education and communication on their environmental impact.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101866"},"PeriodicalIF":3.8,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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