Transportation Research Interdisciplinary Perspectives最新文献

{"title":"Acceptance and use of demand-responsive transport by older people in old new town: Evidence from Senboku new Town","authors":"Haruka Kato ,&nbsp;Kento Yoh","doi":"10.1016/j.trip.2024.101295","DOIUrl":"10.1016/j.trip.2024.101295","url":null,"abstract":"<div><div>This study aimed to investigate the factors influencing older adults’ acceptance and use of demand-responsive transport (DRT) in an old New Town (old NT). The old NTs have a high density of older people, differing from urban or rural areas. The selected case was Senboku New Town (Senboku-NT), one of the largest old NTs in Japan. This study applied the unified theory of acceptance and use of technology model, moderating for age differences between older people and adults. Participants were recruited using a web-based questionnaire via a local smartphone application in Senboku-NT. As a result, we found a significant relationship between social influence and behavior intention for both older people (ß_SI-BI = 0.347) and adults (ß_SI-BI = 0.445). In addition, behavior intention was significantly correlated with performance expectancy for older people (ß_PE-BI = 0.233) and with trust and safety for adults (ß_TS-BI = 0.369). Regarding the importance of social influence, older people acquire face-to-face information via consultation meetings about DRT usage and referrals from family and friends. Therefore, our findings are directed to policymakers regarding the importance of emphasizing social influence to promote the use of DRT among older adults. The reason may be related to old NTs, which differ from urban and rural areas. These results provide interesting insights for generalizing our findings to DRT in old NTs.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101295"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156015","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}

{"title":"Predicting nighttime black ice using atmospheric data for efficient winter road maintenance patrols","authors":"Jinhwan Jang","doi":"10.1016/j.trip.2024.101299","DOIUrl":"10.1016/j.trip.2024.101299","url":null,"abstract":"<div><div>During winter, hazardous black ice can form anywhere on roads under various weather conditions, including fog, frost, rime ice, freezing rain, and snow. To prevent accidents caused by black ice, nighttime road maintenance patrols have been conducted in Korea since December 2019, following a tragic accident on slippery pavement. However, patrolling the entire road network on a daily basis requires substantial human and equipment resources. To address this issue, an approach to identify high-risk road sections and prioritize patrolling efforts on these selected sections needs to be established. The main challenge lies in identifying dangerous sections where road weather sensors have not been deployed. One potential solution is to forecast nighttime black ice using atmospheric data. In this context, the present study investigates machine learning techniques, including Random Forest, CatBoost, and Deep Neural Networks, for forecasting nighttime icing on rural highways in Korea. The models use air temperature, humidity, dew point temperature, precipitation probability, and wind speed as input variables. Data analysis indicates that nighttime icing occurs when the atmospheric temperature falls below 4 °C and the relative humidity exceeds 75 %. Furthermore, black ice is more likely to form when temperatures are rising rather than falling, particularly in the absence of precipitation. To evaluate the predictive models, reference data were obtained based on the physical principle that black ice forms when the road surface temperature drops below both the freezing point and the dew point temperature. The results show that all the models achieved similar performance, with an accuracy of approximately 85–90 %. The novelty of this study lies in predicting road icing using only readily available atmospheric data, which eliminates the need for costly road weather sensors. As a result, this approach allows for more efficient nighttime maintenance patrols, reducing resource usage by up to 60 % while still ensuring road safety.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101299"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100355","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}

{"title":"Rethinking Advanced Driver Assistance System taxonomies: A framework and inventory of real-world safety performance","authors":"Ksander N de Winkel,&nbsp;Michiel Christoph","doi":"10.1016/j.trip.2025.101336","DOIUrl":"10.1016/j.trip.2025.101336","url":null,"abstract":"<div><div>In this review, we assess the real-world effectiveness of <strong>ADAS!</strong> (<strong>ADAS!</strong>) in preventing vehicle crashes. We propose a new, data-driven framework of safety performance based on dimensions <em>urgency</em> and <em>level of control</em> as an alternative to existing taxonomies.</div><div>We identified 28 <strong>ADAS!</strong> and collected data on (real-world) safety performance of from grey (technical reports) and white (scientific) literature. <strong>ADAS!</strong> were categorized by <em>functional class</em> (longitudinal/lateral control, monitoring, information systems) and by <em>interaction type</em> (informing, warning, intervening, comfort-enhancing).</div><div>The data analysis showed that <strong>LKA!</strong> (<strong>LKA!</strong>) (−19.1%) and <strong>DMS!</strong> (<strong>DMS!</strong>) (−14%) had the strongest crash rate reduction effects, followed by <strong>AEB!</strong> (<strong>AEB!</strong>) (−10.7%). However, systems like <strong>ACC!</strong> (<strong>ACC!</strong>) and <strong>CC!</strong> (<strong>CC!</strong>) were associated with increased crash rates (+8%, +12%). Categorizing systems by either functional class or interaction type revealed central tendencies favoring safety of longitudinal control and intervening systems, while comfort-enhancing systems showed detrimental effects.</div><div>From the categorizations, we derived dimensions <em>urgency</em> and <em>level of control</em>, scoring individual <strong>ADAS!</strong> accordingly. A linear model based on these dimensions (pseudo-<span><math><mrow><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>103</mn></mrow></math></span>) explained a similar amount of variance as the categorizations (functional class: 0.140, interaction type: 0.087). The analysis indicated that low <em>urgency</em> and high <em>level of control</em>, typical of comfort-enhancing systems, did not improve safety.</div><div>Our findings support the positive safety effects of <strong>ADAS!</strong>, but also point to risks, particularly for comfort-enhancing technologies. The proposed framework offers an explanation for the observations. It is simple and generalizable, and avoids disadvantages inherent to categorical classifications, making it a potentially valuable tool for designers and policymakers.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101336"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100392","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}

{"title":"Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles","authors":"Jiming Xie ,&nbsp;Yan Zhang ,&nbsp;Yaqin Qin ,&nbsp;Bijun Wang ,&nbsp;Shuai Dong ,&nbsp;Ke Li ,&nbsp;Yulan Xia","doi":"10.1016/j.trip.2024.101278","DOIUrl":"10.1016/j.trip.2024.101278","url":null,"abstract":"<div><div>To achieve trustworthy human-like decisions for autonomous vehicles (AVs), this paper proposes a new explainable framework for personalized human-like driving intention analysis. In the first stage, we adopt a spectral clustering method for driving style characterization, and introduce a misclassification cost matrix to describe different driving needs. Based on the parallelism in the complex neural network of human brain, we construct a Width Human-like neural network (WNN) model for personalized cognitive and human-like driving intention decision making. In the second stage, we draw inspiration from the field of brain-like trusted AI to construct a robust, in-depth, and unbiased evaluation and interpretability framework involving three dimensions: Permutation Importance (PI) analysis, Partial Dependence Plot (PDP) analysis, and model complexity analysis. An empirical investigation using real driving trajectory data from Kunming, China, confirms the ability of our approach to predict potential driving decisions with high accuracy while providing the rationale implicit AV decisions. These findings have the potential to inform ongoing research on brain-like neural learning and could function as a catalyst for developing swifter and more potent algorithmic solutions in the realm of intelligent transportation.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101278"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100694","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}

{"title":"Investigating the impacts of connected vehicle technology on the flow of trucks at the busiest Canada-U.S. border crossings","authors":"Hanna Maoh,&nbsp;Sidra Anis","doi":"10.1016/j.trip.2024.101310","DOIUrl":"10.1016/j.trip.2024.101310","url":null,"abstract":"<div><div>Land-border crossings between Canada and the United States facilitate the movement of approximately 59 % of the goods traded between the two countries. Consequently, these border facilities experience heavy truck traffic daily. While connected vehicle technology have attracted attention in recent years, there has been no attempts to assess its impacts on truck traffic performance at international land borders. This paper addresses the issue by developing and applying a microscopic traffic simulation model for connected trucks. Scenarios depicting the movement of trucks between Canada and the U.S. through the two busiest border crossings (i.e., Windsor and Sarnia), are simulated in the presence of V2V and V2I technologies with the help of a dynamic traffic assignment. The simulation results suggest that truck traffic becomes more streamlined with up to 7 % of all trucks switching to the Sarnia crossing under a 100 % V2V scenario when a delay incident is present on the corridor leading to Windsor. Also, average time delay at the Windsor crossing under extended delay conditions spanning over a course of 8 h at this crossing is reduced by 30 % (i.e., delay dropped from 5 h to 3.5 h) when V2I technology is utilized.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101310"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100707","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}

{"title":"Modelling the mode choice behaviour of Mobility-as-a-Service (MaaS) users in the Solent area of the UK","authors":"Nazam Ali ,&nbsp;Seda Sucu Sagmanli ,&nbsp;Nima Dadashzadeh ,&nbsp;Djamila Ouelhadj","doi":"10.1016/j.trip.2025.101335","DOIUrl":"10.1016/j.trip.2025.101335","url":null,"abstract":"<div><div>Mobility-as-a-service (MaaS) offers a platform to integrate multiple transport modes into a single intuitive online booking and payment system. This paper aims to understand the factors affecting the mode choice of MaaS app users, with a focus on mode shift towards more sustainable transport modes rather than private cars. Thus, this research explores the transport mode choice of MaaS users between private transport, public/shared transport and active transport and how individual characteristics of users affect their mode choices. To achieve this aim, a revealed preference survey was distributed among Breeze MaaS app users in the Solent area, Southeast of England. A total of 2,022 valid responses were collected, and multinomial logistic regression (MLR) models were estimated. Factors such as car and bike ownership, travel-related impairment, education, profession, public transport pass ownership, and residential area type were found to be significant predictors of most frequent mode choice selection. Retired and employed users are less likely to select public/shared transport compared to private transport, indicating negative perceptions toward this mode. People with travel-related impairments are significantly more likely to choose other transport modes (i.e., taxi and wheelchair), indicating that current public/shared transport modes are not accessible and inclusive enough in the region. Possessing public transport passes seems to attract people towards public/shared transport modes. Some policy insights for successful implementation of MaaS programme; such as integrated shared modes with frequent public transport during morning and evening peak hours, inclusion of accessible taxis and rehabilitation buses, and stepwise discounted bundling system, are recommended. This study serves as a comprehensive guide to investigate the factors affecting the mode choice of MaaS users and provides a basis for future research to improve the understanding of factors for stakeholders to improve the operations of MaaS for successful implementations.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101335"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100719","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}

{"title":"Designing transportation for women: Night paratransit service for the female community of Sapienza university of Rome","authors":"Maria Vittoria Corazza,&nbsp;Silvia D’Eramo","doi":"10.1016/j.trip.2025.101328","DOIUrl":"10.1016/j.trip.2025.101328","url":null,"abstract":"<div><div>The local press often reports on women’s harassment in transit, which poses a significant problem for the female community at Sapienza University of Rome, particularly during evening commutes. A dedicated night transport service could serve as a solution. However, research questions revolve around service acceptance and affordability among the so-called “Sapienza women” (female students and teaching and administrative staff), along with service profitability for the university acting as an operator. A feasibility study of a gender-dedicated university-to-home paratransit night service called MinervaMove from Sapienza’s main campus for commuting home in the evening is conducted. The service analyzes the Sapienza Women’s stated preferences to assess its acceptance and willingness to pay for it, followed by building operational scenarios accordingly. A detailed cost–benefit analysis, duly described in the paper, stresses the prospective profitability of MinervaMove, with the research goals to showcase an example of a methodology to design a women-reserved night service, replicable in other university campuses, and advance knowledge in the field of gender-driven transportation supply.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101328"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100730","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}

{"title":"From social media to policy: Public insights on transport communication and services in Queensland","authors":"Shane Mathews ,&nbsp;Jenny Hou ,&nbsp;Tan Yigitcanlar ,&nbsp;Fahimeh Golbabaei ,&nbsp;Nayomi Kankanamge ,&nbsp;Adam Downie ,&nbsp;Alexander Paz","doi":"10.1016/j.trip.2025.101324","DOIUrl":"10.1016/j.trip.2025.101324","url":null,"abstract":"<div><div>This study seeks to understand public opinion related to transport communication and services by delving into citizens’ insights highlighted in online posts. Public perceptions of transport communication and services is fundamental to developing more efficient, inclusive, and user-centered transportation. The objective was to reveal how Queenslanders perceive transportation communication and associated services within the broader digital discourse. It explores the accessibility of current communication platforms and channels employed by the Queensland Department of Transport and Main Roads (Australia), with focus on public perceptions of transportation communication and services. A Netnography approach was used to analyze public comments from social and digital media to decipher prevailing sentiments and topics. Seven key themes in public discussions were identified: energy, disability, government funding, expansion of transport infrastructure, digital technology, health and safety, and quality of service. Among these ‘digital technology’ and ‘quality of service’ are directly related to communication, representing the use of digital tools to provide access to key transport-related information and the level of satisfaction with public transportation services. Despite generally positive attitudes towards transportation in Queensland, the study highlights a significant opportunity to enhance communication strategies and services to improve overall user experience, making transportation systems more user-friendly and accessible. The findings offer a consolidated understanding of the strengths and weaknesses of current transportation services and communication strategies across Queensland from the public’s perspective. Hence, transportation authorities can make informed decisions that reflect community priorities, needs, and desires, leading to improved service provision and develop effective and sustainable transportation solutions.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101324"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143157029","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}

{"title":"Schedule-based analysis of airborne transmission risk in public transportation systems","authors":"Jiali Zhou ,&nbsp;Haris N. Koutsopoulos","doi":"10.1016/j.trip.2024.101301","DOIUrl":"10.1016/j.trip.2024.101301","url":null,"abstract":"<div><div>Airborne diseases raise the question of transmission risk in public transportation systems. However, quantitative analysis of the effectiveness of transmission risk mitigation methods in public transportation is lacking. The paper develops an airborne transmission risk modeling framework based on the Wells-Riley model using as inputs transit operating characteristics, schedule, Origin-Destination (OD) demand, and virus characteristics. The model is sensitive to various factors that operators can control, and external factors that may be subject of broader policy decisions. The model is utilized to assess transmission risk as a function of OD flows, planned operations, and factors such as mask-wearing, ventilation, and infection rates. Using actual OD and AVL data from the Massachusetts Bay Transportation Authority (MBTA) Red Line, the paper explores the airborne transmission risk under different infection rate scenarios. The paper assesses the combined impact from viral load related factors and passenger load factors. Increasing frequency can mitigate risk, but cannot fully compensate for increases in infection rates. Imbalanced passenger distribution on different cars of a train increases the overall system-wide infection probability. Spatial infection rate patterns should also be considered during policymaking. For lines with branches, demand distribution among the branches is important and headway allocation adjustment can reduce risk.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101301"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099716","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}

{"title":"Development of path reservation for wheelchair users within a High-Activity train Station: A case study of SRT Red Line, Don Mueang Station, Bangkok, Thailand","authors":"Pakapon Ueasatchamongkhon,&nbsp;Somsiri Siewwuttanagul","doi":"10.1016/j.trip.2024.101313","DOIUrl":"10.1016/j.trip.2024.101313","url":null,"abstract":"<div><div>This study investigates the impact of spatial-based accessibility on the SRT Red Line, Don Mueang Station, a railway station that frequently poses challenges for wheelchair users and has recently been developed under the megaproject “The High-Speed Railway Connecting Three Airports Project”. Through comprehensive approaches, including the Graph Theory (Betweenness) in Urban Network Analysis (UNA) and path reservation based on principles of station accessibility, this study explores the relationship between congestion probability (Betweenness) in detailed origins and destinations, as well as kinematics for wheelchair users. The findings analyse the implication and effectiveness of inclusively reserved route design to facilitate movement and provide more efficient mobility for the target study group with safety. By examining the passenger volume of the station during the peak hour, this study provides valuable insights into the understanding and analysis of congestion possibility’s impact on the kinematics for wheelchair users. The results contribute to the existing knowledge by giving an in-depth comprehension of the role of path reservation based on spatial-based accessibility and legal standards and regulations in improving circulation within the station. This study enhances the understanding of the effects of spatial-based accessibility on the inclusive path reservation design and provides implications for future application and research in the field of station accessibility.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101313"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100695","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}