Transportation Research Part A-Policy and Practice最新文献

{"title":"Flight diversions and recovery decisions: Evidence from China","authors":"Bolong Zhou ,&nbsp;Kashin Sugishita ,&nbsp;Shinya Hanaoka ,&nbsp;Enoch Lee ,&nbsp;Hai Yang","doi":"10.1016/j.tra.2026.104862","DOIUrl":"10.1016/j.tra.2026.104862","url":null,"abstract":"<div><div>Flight diversions represent a significant challenge to the operational resilience of air transport systems, leading to substantial costs and disruptions for airlines, airports, and passengers. A typical diversion involves two critical stages: alternate landing and subsequent flight recovery. When recovery fails, cancellations not only disrupt airline operations and passenger itineraries but also strain airport ground facilities. This study employs spatial analysis and discrete choice modeling to analyze diversion patterns and recovery outcomes, using a dataset of commercial passenger flight diversions across mainland China. The findings reveal several key insights. First, major airports, particularly those serving as hubs or base airports for airlines, are preferred for alternate landings due to their robust ground support capabilities. While multiple-airport regions (MARs) are strategic receivers of diverted flights, the role of smaller airports within these systems requires further enhancement. Second, the recovery rate of diverted flights is strongly influenced by the airline’s business model. Major full-service carriers (FSCs) demonstrate higher recovery rates, whereas low-cost carriers (LCCs) and non-major carriers are more likely to cancel flights. Third, diversions within MARs significantly reduce recovery rates, underscoring the operational complexities of these regions. These findings offer practical insights for optimizing diversion protocols, enhancing MAR infrastructure, and formulating policies that balance network-wide efficiency with passenger-centric resilience in air transport systems.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"205 ","pages":"Article 104862"},"PeriodicalIF":6.8,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145961771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determinants of battery electric vehicle adoption concerns: insights from commercial fleet owners","authors":"Reuben Tamakloe ,&nbsp;Livingstone Divine Caesar ,&nbsp;Inhi Kim","doi":"10.1016/j.tra.2026.104874","DOIUrl":"10.1016/j.tra.2026.104874","url":null,"abstract":"<div><div>Light-duty commercial vehicles contribute to urban transportation challenges, including traffic congestion and pollution, with these issues expected to worsen as commercial vehicle activity increases. Commercial Battery Electric Vehicles (BEVs) offer a potential solution by reducing fossil fuel dependency, but there is limited research on the concerns commercial entities have about adopting BEVs. Using the latest survey data from California, the study’s goal is to apply both machine learning and econometric models to understand the factors associated with BEV adoption concerns among commercial entities. Specifically, the study identifies factor chains linked to concerns through association rule mining (ARM) and explores how various factors influence concern probabilities using a random parameters logit regression framework. The study focuses on the top five concerns regarding BEVs: limited driving range, hauling capacity, battery life uncertainty, cost, and charging infrastructure. ARM results indicate that construction industries and companies using pickups or trucks are particularly concerned about hauling capacity, while companies without BEV ownership are more likely to worry about high costs. Additionally, those without EVs in their fleet tend to focus on limited charging infrastructure and driving range. The regression models reinforce these findings but also reveal significant variability in how factors such as BEV ownership experience, industry type, and fleet composition influence concern probabilities. This variability offers insights beyond those provided by a fixed regression approach. The study concludes that targeted interventions addressing these key concerns could significantly facilitate BEV adoption in commercial fleets, helping to alleviate urban transportation and environmental issues.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"205 ","pages":"Article 104874"},"PeriodicalIF":6.8,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145961772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gains from air connectivity: effects on manufacturing firm emissions","authors":"Xiangru Wu ,&nbsp;Minghui Ma ,&nbsp;Kangyin Dong ,&nbsp;Kun Wang ,&nbsp;Xiaowen Fu","doi":"10.1016/j.tra.2025.104852","DOIUrl":"10.1016/j.tra.2025.104852","url":null,"abstract":"<div><div>Air transport is known for its role in promoting economic growth and global trade. However, its potential effects for promoting technological advancement and reducing pollution emissions from manufacturing firms have yet to be well studied. This study aims to identify the causal effects of city air connectivity on the manufacturing firm emissions in China by matching firm data with city aviation development data from 2005 to 2013. We focus on sulfur dioxide (SO₂) emissions because of their detrimental impact on human health. An air connectivity index is constructed to measure how well each city is connected to the aviation network. Using instrumental variable methods, we find that a 1<!--> <!-->% increase in city air connectivity leads to a 0.1<!--> <!-->% decrease in SO₂ emissions from manufacturing firms. This reduction is driven by technological advancements in both production and emission control processes, facilitated by a more accessible aviation network and the increased interactions of business travelers. The underlying mechanisms operate through three key channels: (1) enhanced green production efficiency at the firm level, (2) increased patent applications at the firm level, and (3) city-level growth in the scientific research and technical services industry. We use these estimates to quantify the deaths prevented and years of life saved by the improved air quality caused by enhanced air connectivity. These findings underscore the significant environmental and public health co-benefits of strengthening city air connectivity, highlighting aviation infrastructure as a viable pathway toward sustainable and healthy urban development.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"205 ","pages":"Article 104852"},"PeriodicalIF":6.8,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Motorcycle ownership and use in Bogotá, Colombia: Unveiling novel factors through a hybrid modelling approach","authors":"Santiago Mesa-Garcia ,&nbsp;Alvaro Rodriguez-Valencia ,&nbsp;Juan de Dios Ortúzar ,&nbsp;Germán Lleras","doi":"10.1016/j.tra.2025.104836","DOIUrl":"10.1016/j.tra.2025.104836","url":null,"abstract":"<div><div>The growing popularity of the motorcycle in many cities in Asia and Latin America has brought new challenges for transportation and urban planning since its massive use is associated with substantial negative externalities. This study aims to unveil the key factors that have motivated increased ownership of motorcycles and to explore the reasons for their recurrent use for commuting trips, considering personal and household characteristics, space-related variables, and latent constructs accounting for perceptions and attitudes. We applied an online survey to motorcycle and non-motorcycle users in Bogotá, Colombia, to acquire behavioural, attitudinal, and perceptual data. Using these data, we estimated integrated choice and latent variable (ICLV) models to identify critical elements influencing the individuals’ utility for both motorcycle use and ownership. Our results reveal that both decisions depend not only on standard demographic and spatial factors as has been predominantly argued, but also on individuals’ attitudes and perceptions which play an important role. For example, having a negative perception of public transport, having a pro-motorcycle personality, or having acquired a motorcycle habit are critical determinants for deciding to own and use motorcycles frequently. Our results enrich the literature about motorcycle ownership and use, particularly in developing countries, and should help the design of public policies to achieve more sustainable cities in the Global South.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"205 ","pages":"Article 104836"},"PeriodicalIF":6.8,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Social-psychological determinants and nonlinear thresholds: behavioral insights into urban air mobility adoption as an airport shuttle","authors":"Kaihan Zhang ,&nbsp;Xiang Liu ,&nbsp;Qinyu Cui ,&nbsp;Xing Gao ,&nbsp;Mengqiu Cao ,&nbsp;Inhi Kim","doi":"10.1016/j.tra.2025.104856","DOIUrl":"10.1016/j.tra.2025.104856","url":null,"abstract":"<div><div>Urban Air Mobility (UAM) is an emerging mobility service increasingly proposed by cities worldwide. Among its various applications, UAM as an airport shuttle offers particularly strong early-stage commercial potential. However, understanding of the key factors influencing the adoption of UAM as an airport shuttle service remains limited, particularly regarding the role of social-psychological factors and their tolerance thresholds from a nonlinear perspective, where critical points in factors such as time or cost may shift the decision from declination to acceptance. Using a stated-preference survey of 1250 respondents from South Korea, this study identifies the primary determinants of UAM adoption and examines their decision thresholds using a newly proposed hybrid approach that combines automated machine learning (AutoML) and statistical models in a complementary manner. The results show thatt: (1) Previously overlooked social psychological factors, such as individuals seeking time savings, environmental benefits, and openness to new technologies, play adominant role, accounting for 55.4 % of explanatory power in predicting adoption decisions. (2) Threshold effects emerge in airport trip chains, with first-mile and in-vehicle durations under 15 min or over one hour marking critical adoption points; and (3) UAM holds strong substitute potential for car use for long-distance airport access. These findings provide actionable insights for policymakers and service providers aiming to promote UAM adoption, emphasizing the need to align service design and marketing strategies with users’ psychological motivations and to improve access environments for UAM connectivity within urban areas.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"205 ","pages":"Article 104856"},"PeriodicalIF":6.8,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comparison of the effects of travel party size versus travel party composition on differences in travel behavior of spouses in Bhubaneswar, India","authors":"Punyabeet Sarangi ,&nbsp;M. Manoj","doi":"10.1016/j.tra.2025.104858","DOIUrl":"10.1016/j.tra.2025.104858","url":null,"abstract":"<div><div>The present study compares and quantifies the importance of ‘travel party size’ and ‘travel party composition’ on the<!--> <!-->mode choice decisions of spouses, an important behavioral aspect that is rarely explored in travel behavior literature. To fulfill this objective, a primary activity-travel diary data was collected in Bhubaneswar City, India, consisting of 978 households and 5476 out-of-home activity trips on weekdays. Mixed multinomial logit (MMNL) models are developed to capture the heterogeneity in mode choice decisions between spouses. The study findings indicate an unobserved complementarity effect for the utilities of public and personal modes for male spouses, whereas a substitution effect between these modes for female spouses. The MMNL model coefficients also reveal gender differences in mode preferences of spouses, different from the recent trends in developed countries that have observed gender convergence in travel behavior. In addition, individual characteristics (e.g., age, completed education), household characteristics (e.g., couple or lineally descendant household, presence of school-going children), and attitudes such as ‘green lifestyle’, significantly affect spouses’ choices of various modes. The study reveals that male heads consider monetary savings on travel time reductions of greater importance than female heads, especially when choosing personal modes. Regarding the importance between trip party size and trip party composition, the results indicate that the addition of an extra member to the existing trip party size does not alter the mode choice preferences of spouses. On the contrary, trip party composition affects mode choice differently for spouses: male heads prefer private modes when traveling with non-family members, whereas females prefer public modes. Spouses, however, prefer to choose personal modes for joint rides with immediate family members. Moreover, the cost implications associated with shared travel arrangements reveal that travel party composition has greater cost repercussions for personal and public modes than it does for travel party size for similar modes. Overall, the findings add to the understanding of travel behavior of spouses and suggest that policies targeting shared mobility and urban travel demand management may consider household-level trip compositions rather than party size.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"205 ","pages":"Article 104858"},"PeriodicalIF":6.8,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding willingness to participate in private shared parking under incentive and disincentive policies","authors":"Minghui Xie ,&nbsp;Haitao Zhang ,&nbsp;Chao Li ,&nbsp;Xinying Zhang ,&nbsp;Yuanqing Wang","doi":"10.1016/j.tra.2025.104859","DOIUrl":"10.1016/j.tra.2025.104859","url":null,"abstract":"<div><div>While shared parking offers a promising solution to alleviate urban parking challenges, its adoption in private parking spaces, particularly in residential neighborhoods, is lagging due to low market participation. Successful implementation of private shared parking mainly hinges on understanding the factors that motivate individuals to participate in sharing programs. Existing research has preliminarily investigated parking space owners’ and users’ attitudes toward private shared parking, but has often overlooked the impact of policy interventions on willingness to participate (WTP), as well as the complex nonlinear effects and interaction relationships of influencing factors. To address these gaps, formal survey data on WTP in private shared parking programs are first collected from parking space owners and users under varying monetary-linked incentives and disincentives in China. Then, the nonlinear and interaction effects of influencing variables on WTP are uncovered using XGBoost and SHAP interpretable machine learning techniques. The results reveal that compared with the baseline methods, the adopted model demonstrates superior performance in predicting WTP in private shared parking; Personal attributes, along with rewards and penalties, emerge as the most influential factor categories and exhibit significant nonlinear and interaction effects; The effect of key factors, such as reward bonus, penalty payment, education, average monthly income, parking space idle duration, concerns about sharing revenues, weekly driving frequency, having used shared parking, varies substantially across unwilling, neutral, and willing attitudes of parking space owners and users. The findings could help provide valuable insights for government agencies and management operators to further improve private shared parking initiatives and expand their markets.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"205 ","pages":"Article 104859"},"PeriodicalIF":6.8,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does high-speed rail stimulate innovation: City- and firm-level evidence from China","authors":"Zhengyi Zhou ,&nbsp;Anming Zhang","doi":"10.1016/j.tra.2026.104861","DOIUrl":"10.1016/j.tra.2026.104861","url":null,"abstract":"<div><div>This paper studies the effect of transportation infrastructure on innovation. Leveraging China’s development of high-speed rail (HSR) network, we adopt an instrumental variable approach and find that HSR increases city-level innovation. This is driven by big firms, whose R&amp;D investment, patent ownership likelihood, and total patent citations increase after HSR’s opening in their headquarters cities. To demonstrate the underlying mechanisms, we develop an oligopolistic competition model wherein a dominant big firm can drive technology progress and market demand through R&amp;D investments, while a small firm free-rides. HSR exposes the big firm to greater competition pressure while simultaneously improving its R&amp;D efficiency. This encourages the big firm to boost demand through innovation. The model’s predictions are empirically supported.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"205 ","pages":"Article 104861"},"PeriodicalIF":6.8,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating short-turning strategy into timetabling for first train coordination in subway networks","authors":"Hao Li ,&nbsp;Norman Weik ,&nbsp;Liujiang Kang ,&nbsp;Yue Zhao ,&nbsp;Huijun Sun","doi":"10.1016/j.tra.2025.104851","DOIUrl":"10.1016/j.tra.2025.104851","url":null,"abstract":"<div><div>Ensuring connectivity in extended and continuously growing subway networks during the early morning start-up period becomes more and more challenging due to the limited number of trains and increasing infrastructure restrictions. In the present paper, train coordination strategies to maximize the connectivity of all origin-destination (OD) pairs and their effectiveness are investigated. An integrated mixed-integer nonlinear programming model is developed to simultaneously optimize short-turning plans and first train timetables. The model takes into account travel path choices between OD pairs and the impact of short-turning trains on ride plans. As the number of potential short-turning plans grows exponentially, computing an optimal solution incorporating all possible timetable schemes will be nearly impossible. As a result, a hierarchical two-stage optimization framework is developed to improve train short-turning and timetable coordination, which combines a breadth-first branch-and-cut algorithm for generating short-turning plans with a customized column generation algorithm for determining optimal train timetable coordination. To investigate the influence of network structure on coordination, we conducted two case studies with distinct network characteristics: Munich (shared-corridor network) and Beijing (grid network). The experimental results show that the proposed short-turning strategy effectively improves operational efficiency in both networks. Furthermore, comprehensive comparisons of solution accuracy and computational time demonstrate that our algorithm outperforms several commonly-used heuristic algorithms. Moreover, compared to the exhaustive enumeration benchmark, our algorithm sacrifices only 0.22% of solution accuracy while saving 55.26% of CPU time in the tested network. In particular, in Munich, affected passengers are roughly evenly divided between adapting by adjusting their travel paths and switching to alternative shared-corridor services. In contrast, in Beijing’s grid network, passengers can only detour their travel paths due to the lack of substitute services. These findings highlight that while short-turning operations facilitate faster transfers and reduce overall travel time, the impacts of short turnings on travel efficiency strongly depend on the underlying network structure. In conclusion, integration of short-turning and timetabling can effectively improve first train coordination in subway networks.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"205 ","pages":"Article 104851"},"PeriodicalIF":6.8,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aircraft export modes with MRO integration: leasing vs. direct sales","authors":"Ruotian Chen ,&nbsp;Changmin Jiang ,&nbsp;Hangjun Yang","doi":"10.1016/j.tra.2025.104849","DOIUrl":"10.1016/j.tra.2025.104849","url":null,"abstract":"<div><div>Exporting newly developed commercial aircraft remains a complex challenge for emerging manufacturing countries. This study develops a multi-echelon aviation supply chain game model to compare the economic performance of two key export channels: direct sales and aircraft leasing. The model explicitly incorporates differentiated Maintenance, Repair, and Overhaul (MRO) service arrangements, addressing the constraints faced by developing countries lacking strong MRO capabilities, and analyzes how export mode selection shapes airline competition in target import markets. The study proposes an innovative leasing mode wherein a domestic lessor from the manufacturing country provides bundled MRO services. Results show that, within this bundled MRO mode, the leasing channel outperforms direct sales in export volume under both “small market with high engine tariffs” and “large market” conditions. Furthermore, under strong MRO scale economies, the leasing airline consistently earns higher profits. Relative to the unbundled MRO mode, the bundled mode increases total aircraft exports when the lessor’s initial MRO costs are sufficiently low, or the target market size is large. These market scale effects also shape social welfare: while both countries eventually prefer bundled MRO, importers benefit from it at a lower market size threshold than exporters, revealing a structural incentive misalignment. The study also examines two extensions on capacity leasing and airline service differentiation. Numerical analysis highlights trade-offs for exporting countries between export volumes and industry profits, and for importing countries between social welfare and consumer surplus, depending on how export mode selection, airline rivalry, and service differentiation interact. These findings offer theoretical and policy insights for designing export strategies and improving supply chain integration in emerging commercial aircraft industries.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"205 ","pages":"Article 104849"},"PeriodicalIF":6.8,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}