Transport Economics and Management最新文献

{"title":"Effect of privatizing Japanese expressway companies on maintenance and management efficiency","authors":"Tsubasa Kaino,&nbsp;Kazuyoshi Hidaka","doi":"10.1016/j.team.2025.07.001","DOIUrl":"10.1016/j.team.2025.07.001","url":null,"abstract":"<div><div>In 2005, Japan privatized its four public highway corporations, resulting in the establishment of three NEXCO companies. Although these entities remain fully government-owned, future stock exchange listing is envisioned. To inform discussions on this transition, it is essential to analyze the effects of privatization on management efficiency and identify factors influencing efficiency changes. While a certain degree of progress has been observed in achieving the three objectives articulated by the Japanese government at the time of privatization—namely, the steady repayment of interest-bearing debt, the early and inexpensive construction of expressways, and the provision of various services—these initial goals did not encompass maintenance and operation, which have become increasingly important over time. As a result, the impact of privatization on these aspects remains insufficiently examined. This study therefore focuses on existing expressway segments and investigates changes in maintenance and operational efficiency before and after privatization. Using data envelopment analysis (DEA), we evaluate efficiency based on indicators such as management costs and toll revenue, comparing performance in the pre-privatization period, immediately after privatization, and 14 years later. The results indicate that network-wide efficiency showed little change immediately after privatization. However, route-level analysis reveals a decline in efficiency over time. These findings suggest that privatization, even in the form of a joint stock company, may have limited capacity to enhance long-term management efficiency in expressway operations.</div></div>","PeriodicalId":101258,"journal":{"name":"Transport Economics and Management","volume":"3 ","pages":"Pages 290-301"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144678728","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}

{"title":"Maritime service network design with oil-fueled and LNG-fueled mixed vessel fleet under uncertainty: Overview and future research directions","authors":"Liquan Guo,&nbsp;Wenjing Song,&nbsp;Yeping Long","doi":"10.1016/j.team.2025.10.003","DOIUrl":"10.1016/j.team.2025.10.003","url":null,"abstract":"<div><div>The adoption of Liquefied Natural Gas (LNG) as an alternative fuel for vessels is a critical path to realizing the strategy of shipping decarbonization. Against the backdrop of the increasing promotion of LNG-fueled vessels, the maritime fleet of the shipping company will comprise a mixed fleet of conventional oil-fueled and LNG-fueled vessels in the mid- and long-term. Due to unpredictable trade fluctuations (e.g., the financial crisis), war, global public health emergencies (e.g., the COVID-19 pandemic), and the inherent characteristics of LNG evaporation, the maritime service network design for a mixed vessel fleet typically faces high uncertainty. This paper aims to review the literature on maritime service network design for mixed vessel fleet under uncertainty, including the problems of LNG fleet renewal, LNG bunkering station location, LNG maritime inventory routing, and the collaborative optimization of bunkering location and vessel deployment. The results remark that the following research gaps have not been well addressed: (1) The traditional fleet renewal problem has not considered the impact of government involvement on the fleet renewal decisions, and they have not measured the effects of deferring or implementing earlier of the renewal decision on shipping companies’ revenues; (2) Few studies have addressed the LNG bunkering location and vessel routing problem under uncertainty; (3) There is a lack of research on the dynamic inventory-routing problem, and the existing model formulation and solving techniques are not suitable for large-scale instances; (4) The existing collaborative optimization problems for the location-inventory and vessel deployment are mainly concentrated on the homogeneous vehicle fleet or vessel fleet, and they have not introduced uncertainty into the optimization problems. Finally, we discuss the future directions that we believe are especially important for addressing the aforementioned research gaps. Our research outcomes can help expand the theoretical research of maritime service network design and offer essential research directions for promoting the sustainable development of the port and maritime industries.</div></div>","PeriodicalId":101258,"journal":{"name":"Transport Economics and Management","volume":"3 ","pages":"Pages 423-431"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323270","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}

{"title":"Assessing public receptivity and preference formation in the transition to fully autonomous vehicles","authors":"Deema Almaskati ,&nbsp;Apurva Pamidimukkala ,&nbsp;Sharareh Kermanshachi ,&nbsp;Jay Michael Rosenberger ,&nbsp;Greg Hladik ,&nbsp;Ann Foss","doi":"10.1016/j.team.2025.11.003","DOIUrl":"10.1016/j.team.2025.11.003","url":null,"abstract":"<div><div>Fully autonomous vehicles (FAVs) are expected to reshape transportation systems and benefit society in several ways, but their advantages do not guarantee that the public will embrace them, a factor that is critical to their widespread deployment. This local pilot case study in Arlington, Texas (N = 295) aimed to supplement the existing literature on the adoption of autonomous vehicles (AVs) by investigating how the public’s perceptions shift as the level of autonomy increases. A survey questionnaire was developed to examine how demographic and attitudinal factors influence automation preference rankings and non-parametric statistical tests were used to evaluate the responses. The findings indicated significant variations in ranking preferences, with an overall preference for manual vehicles, followed by partially autonomous vehicles and FAVs. Among different demographic groups, age, gender, race, and prior exposure to AVs were found to be significant for ranking manual vehicles and FAVs. Spearman’s rank correlation analysis revealed a mirrored and opposite trend across attitudinal factors for rankings of manual vehicles and FAVs, but preferences for partial automation were not strongly influenced by them. This study highlights the importance of public receptivity to FAVs and may benefit policymakers by providing insight into the factors that affect the perceptions of prospective users, thereby facilitating their integration onto existing roadways.</div></div>","PeriodicalId":101258,"journal":{"name":"Transport Economics and Management","volume":"3 ","pages":"Pages 470-485"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683941","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}

{"title":"The effect of road and air transport infrastructure on FDI Inflows in MENA countries: A panel data analysis","authors":"Bensoltane BASSEM","doi":"10.1016/j.team.2025.04.001","DOIUrl":"10.1016/j.team.2025.04.001","url":null,"abstract":"<div><div>The relationship between transport infrastructure and Foreign Direct Investment (FDI) has been, and remains, a critical area of research. Accordingly, this study investigates their interplay in 15 MENA countries from 1996 to 2022, using panel data and Ordinary Least Squares (OLS) regression analysis. The results indicate that road transport infrastructure is the most influential factor in attracting FDI, with improvements significantly boosting foreign investment. Similarly, air transport infrastructure contributes positively by enhancing access to global markets, further driving FDI inflows. In contrast, human capital shows no statistically significant effect, while trade openness emerges as a crucial determinant, with liberalized trade policies fostering greater FDI. Exchange rate demonstrates a marginally positive effect, reducing investor uncertainty, whereas market size, measured by GDP per capita, strongly attracts FDI due to larger growth potential and higher purchasing power. Additionally, political stability fosters investor confidence, further supporting FDI inflows. Finally, the interaction effects reveal that road transport infrastructure amplifies the positive impacts of both trade openness and exchange rate on FDI. Building on these findings, the study provides actionable policy recommendations to enhance FDI inflows in the MENA region and highlights promising avenues for future research.</div></div>","PeriodicalId":101258,"journal":{"name":"Transport Economics and Management","volume":"3 ","pages":"Pages 172-182"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143816876","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}

{"title":"Meteorological impacts on aviation carbon emissions during takeoff and landing at 25 major global airports","authors":"Xiaokang Liu ,&nbsp;Chengze Mao ,&nbsp;Shuai Yue ,&nbsp;Qing Ji ,&nbsp;Chunan Wang","doi":"10.1016/j.team.2025.09.002","DOIUrl":"10.1016/j.team.2025.09.002","url":null,"abstract":"<div><div>Aviation plays a pivotal role in facilitating global economic integration, yet its associated greenhouse gas emissions and climate impacts have garnered increasing scrutiny. This study examined how meteorological conditions affect aircraft carbon emissions during the landing and takeoff (LTO) cycle, focusing on the world’s 25 busiest international airports in 2019. We integrated flight level emissions with high-resolution ERA5 reanalysis data and estimated a fixed effects panel model to quantify the effects of temperature, wind speed, atmospheric pressure, cloud base height, low-level cloud cover, precipitation, and snow cover on emissions intensity. The results indicate that meteorological factors exert statistically significant and heterogeneous impacts across flight phases. Specifically, higher temperatures, lower atmospheric pressure, reduced cloud base height, and intense precipitation or snow cover are associated with increased per-flight carbon emissions, with particularly pronounced effects during taxiing operations. Sensitivity also varied across climate zones, airport infrastructure, and operating procedures, underscoring substantial spatial heterogeneity. These findings support the design of weather adaptive operating strategies and decarbonization pathways in aviation and provide a more nuanced understanding of weather driven variability in emissions.</div></div>","PeriodicalId":101258,"journal":{"name":"Transport Economics and Management","volume":"3 ","pages":"Pages 346-365"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145095252","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}

{"title":"The effectiveness of autonomous public transport systems in densely populated urban areas","authors":"Maksim Gusev,&nbsp;Shane Gilroy","doi":"10.1016/j.team.2024.11.004","DOIUrl":"10.1016/j.team.2024.11.004","url":null,"abstract":"<div><div>This paper presents an in-depth analysis and comparison of technologies for autonomous transport systems, focusing on logistical considerations, economic factors, and overall outcomes. The study evaluates various scenarios, including manned and autonomous ground vehicles, as well as infrastructure solutions, to provide insights into their operational efficiency and economic viability.</div><div>In the logistical comparison, findings indicate that autonomous and manned ground vehicles operate within similar logistical frameworks but offer different operational flexibilities. Autonomous systems demonstrate potential advantages in adaptability to changing passenger needs and risk reduction through sensor-based navigation. Additionally, deploying autonomous infrastructure solutions shows promising results in reducing cycle time (-43 % to ground manned/autonomous vehicles) and increasing technical speed (+57 % to ground manned/autonomous vehicles), especially in strained infrastructure environments.</div><div>The economic comparison reveals challenges in assessing the cost-effectiveness of autonomous solutions due to a lack of pricing data. While the automation of public transport vehicles incurs higher capital (e.g. 33 % increase for autonomous buses vs manned) and operational expenditures (e.g. 60 % increase for autonomous buses vs manned), autonomous systems offer benefits such as continuous operation and reduced idle time. Investments in infrastructure solutions present opportunities to diversify traffic flow and enhance the overall transportation system.</div><div>In conclusion, the autonomous transport system market requires increased transparency in pricing structures and technical maturity. Successful deployment depends on thorough demand studies and compatibility analyses with existing infrastructure. Innovative approaches like autonomous monorails or suspended Light Rail Transit (LRT) offer scalability, efficiency, and reduced environmental impact. Integrating predictive maintenance systems and advanced fleet management enhances reliability and service quality. Fostering transparency, embracing innovation, and implementing robust management systems are crucial for the successful integration of autonomous transport systems into urban environments.</div></div>","PeriodicalId":101258,"journal":{"name":"Transport Economics and Management","volume":"3 ","pages":"Pages 1-8"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703421","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":"Measuring airports’ ability to sustain the COVID-19 disruption in the Chinese domestic market: Considering the effect of low-cost carriers and high-speed rails","authors":"Weicheng Wang ,&nbsp;Xiangru Wu ,&nbsp;Xiaowen Fu ,&nbsp;Kun Wang","doi":"10.1016/j.team.2025.07.002","DOIUrl":"10.1016/j.team.2025.07.002","url":null,"abstract":"<div><div>Air transportation continues to gain focus and grow rapidly to meet the demand for social development. Meanwhile, the risk of unpredictable disruptive events like the COVID-19 pandemic must be addressed to ensure stable air transportation. The Chinese domestic market was experiencing unique challenges during the pandemic, considering strict pandemic control measures, limited deregulation, and significant competition from high-speed rail (HSR). This study evaluates the determinants of Chinese airports' performance from 2020 to 2022 based on a weighted connectivity index and an interactive fixed effect (IFE) model. We highlight the critical role of low-cost carriers (LCCs) in mitigating the pandemic's impact, with LCC route entry demonstrating a more pronounced positive effect on airport performance than increased flight frequency. Contrary to conventional expectations, HSR availability did not significantly undermine airport performance, suggesting a more complex air-HSR relationship shaped by intermodal cooperation and regional travel behaviour. Geographical heterogeneity also played a significant role: while LCC entry was vital in the less-developed western regions, increased frequency of LCC flights contributed more to the stable and mature eastern markets. These findings underscore the importance of fostering LCC development and promoting air-HSR coordination. Overall, this study provides valuable insights for policymakers and industry stakeholders to enhance the resilience of the aviation sector in the post-COVID-19 era.</div></div>","PeriodicalId":101258,"journal":{"name":"Transport Economics and Management","volume":"3 ","pages":"Pages 281-289"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144653750","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}

{"title":"Road design influence on driving behaviors: The influence of curve design, a case study","authors":"Stefano Coropulis ,&nbsp;Nicola Berloco ,&nbsp;Paolo Intini ,&nbsp;Vittorio Ranieri","doi":"10.1016/j.team.2025.02.006","DOIUrl":"10.1016/j.team.2025.02.006","url":null,"abstract":"<div><div>Road geometry has always been a key feature for road safety concerns. It will become more crucial in the context of future transportation, especially with the advent of Connected and Autonomous Vehicles (CAVs). In fact, recognizable and intuitive road alignments would simplify the driving tasks for both humans and CAVs (independently from the rate of automation). Thus, not only building consistent and self-explaining roads is fundamental for new and old vehicles, but also adjusting the existent ones, operation that seems even harder. Since most of the existing roads would need massive interventions, policy makers and road designers might choose between making adjustments being compliant with the current regulations in toto or adopting countermeasures supported by specific safety assessments to make existing roads safer, also in the perspective of future changes. In this optic, the present study tries to investigate a typical geometric design issue of existing roads, i.e., the presence of a long segment followed by a sharp curve without transition curves on undivided two-way two-lane rural roads. This alignment does not reflect the current recommendations for road alignment, so it was investigated the effect of such a design on users and safety for a specific testbed. The users’ behavior was investigated recording the kinematic parameters of the traveling vehicles. This data collection was run using radar traffic counters, placed on the roadside throughout the entire layout of the investigated segment-curve, to get speed and acceleration. The data were elaborated to investigate driving behavior in free-flow conditions. A K-means cluster analysis was run to characterize the users’ behaviors in terms of speed and acceleration. Hard braking was found to be strongly related to high speed, as well as ongoing deceleration on curve was detected for all the vehicles with high speeds on the segment. Results about users’ behaviors were compared to the available crash dataset to understand the possible implications of human factors on occurred crashes and to simulate the decision process of safety-related adjustments of existing roads.</div></div>","PeriodicalId":101258,"journal":{"name":"Transport Economics and Management","volume":"3 ","pages":"Pages 104-116"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509234","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":"Econometric modeling of route-level market share dynamics in Nigeria’s domestic airline sector","authors":"Ejem A. Ejem ,&nbsp;Chigozie O. Amaechi ,&nbsp;Obiageli N. Nze ,&nbsp;Timothy Shirgba Aikor ,&nbsp;Precious N. Obieche ,&nbsp;Blessing N. Ogbonnaya ,&nbsp;Elizabeth L. Poi ,&nbsp;Onyinyechi Chinenye Aghanwa","doi":"10.1016/j.team.2025.09.003","DOIUrl":"10.1016/j.team.2025.09.003","url":null,"abstract":"<div><div>This study investigates the determinants of route-level market share dynamics in Nigeria’s domestic airline sector using quarterly panel data from 2005 to 2023. Employing cointegration and error correction models (ECM), supported by robustness checks with VAR and VECM, the analysis evaluates the long- and short-run impacts of fare levels, competition, flight frequency, and passenger volumes on airline market share. The results show that fare has limited explanatory power, while frequency, passenger demand, and competitive intensity are the primary drivers of market share. Short-run fluctuations are rapidly corrected, with approximately 60 % of deviations from equilibrium adjusted each period. These findings align with Nigeria's aviation history, where fare undercutting strategies contributed to the collapse of carriers such as Arik and Bellview. At the same time, service frequency and reliability underpinned the rise of dominant airlines like Air Peace and Ibom Air. Comparative evidence from India, Brazil, and Indonesia further confirms that in deregulated but infrastructure-constrained markets, frequency and network expansion consistently outweigh fare competition. The study contributes empirically by offering one of the few route-level econometric analyses of Africa's domestic airline markets, theoretically by situating frequency effects and demand theory, and practically by providing policy guidance. Findings include prioritizing operational reliability over fare wars, strengthening financial oversight to reduce unsustainable competition, and leveraging the Single African Air Transport Market (SAATM) to scale Nigerian carriers regionally. Overall, the results underscore that market share alone is insufficient for sustainability; profitability, efficiency, and strategic expansion must complement market presence to ensure the long-term viability of Nigerian airlines.</div></div>","PeriodicalId":101258,"journal":{"name":"Transport Economics and Management","volume":"3 ","pages":"Pages 379-390"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145265093","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}

{"title":"Predicting biking preferences in Kigali city: A comparative study of traditional statistical models and ensemble machine learning models","authors":"Jean Marie Vianney Ntamwiza ,&nbsp;Hannibal Bwire","doi":"10.1016/j.team.2025.02.003","DOIUrl":"10.1016/j.team.2025.02.003","url":null,"abstract":"<div><div>This research enhanced the prediction of biking preferences in the City of Kigali, Rwanda and informed transportation management and economic policy. Specifically, it compared the performance of traditional statistical models—logistic regression, support vector machine (SVM), Naïve Bayes, and k-Nearest Neighbours (KNN)—with ensemble models including eXtreme Gradient Boosting (XGBoost), Light GBM, Random Forest, and stacking classifiers. This research used a dataset of 6386 observations incorporated weather and air quality variables and applied correlation-based and iterative model-based feature selection techniques to improve predictive accuracy. Results indicate that ensemble models, particularly XGBoost and Random Forest, outperform traditional statistical models, with an accuracy of 99 % and 98 %, respectively. Traditional statistical models underperformed, with 42 % and 82 % accuracy, in the logistic and SVM models. Ensemble models classified better biking preferences (shared, non-shared, and both categories), significantly improving precision and recall across all three groups. Feature importance indicated that day and month are critical factors in bike preference prediction, reflecting significant daily and seasonal patterns. Air quality factors (high ozone and PM2.5) and weather factors (temperature and rainfall) impacted the preferences. It is better to maintain bikes during the rainy season and rebalance bikes during high temperatures for efficient biking. To improve the air quality in the city, the government should increase car-free corridors to improve the air quality and motivate bike users to be comfortable. In a city with extreme weather, shaded bike lanes should be provided to encourage riders during the extreme weather.</div></div>","PeriodicalId":101258,"journal":{"name":"Transport Economics and Management","volume":"3 ","pages":"Pages 78-91"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436983","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}