{"title":"Does the development of the digital economy amplify the energy rebound effect in the transportation industry? An empirical test of a theoretical paradox","authors":"Yumeng Mao , Xuemei Li , Na Yu","doi":"10.1016/j.retrec.2026.101725","DOIUrl":"10.1016/j.retrec.2026.101725","url":null,"abstract":"<div><div>The rapid development of the digital economy (DE) is widely seen as a catalyst for green transformation in transportation. Yet, its net environmental impact is theoretically ambiguous, due to the potential for an energy rebound effect (RE)—where efficiency gains lower the cost of services and may stimulate additional demand. This study provides a robust empirical test of this theoretical proposition within China's provincial transportation sector (2005–2021). We employ a nested CES production function to quantify the sector-specific RE. Then, using a TEFE model with instrumental variables, we estimate the causal impact of DE development on the RE and disentangle three transmission mechanisms: the substitution effect, industrial upgrading, and resource allocation optimization. Our results confirm a significant RE and show that DE development exerts a net amplifying effect on it. This net effect stems from a dual role: while DE-enhanced resource allocation efficiency offers a mitigating force, it is outweighed by DE's stronger effects in stimulating demand (via substitution) and reshaping economic structure (via upgrading). We further document significant regional heterogeneity in this relationship. By moving from theoretical expectation to empirical verification and mechanistic unpacking, this study offers critical evidence and nuanced policy insights for designing digital strategies that genuinely advance sustainable transportation.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"116 ","pages":"Article 101725"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploratory study of long-distance carpooling supply and public financial incentives: The case of France","authors":"Florent Laroche, Kseniya Schemeleva","doi":"10.1016/j.retrec.2026.101734","DOIUrl":"10.1016/j.retrec.2026.101734","url":null,"abstract":"<div><div>To meet its <span><math><msub><mrow><mtext>CO</mtext></mrow><mrow><mn>2</mn></mrow></msub></math></span> reduction targets in the mobility sector, the French government aims to support carpooling as a means to achieve more efficient car use. Recognizing the gap between these targets and current levels, the government introduced a financial incentive of 100€ per new driver in 2023. This paper seeks to provide an exploratory study of long-distance carpooling supply in France, with particular attention to this public policy, while accounting for a broad set of intermodal and intramodal factors. The study relies on an empirical analysis of original data covering the period 2020–2024. The primary findings from the Seasonal-Trend decomposition analysis confirm the impact of COVID-19 restrictions in 2020 and the subsequent rebound in 2022, with a similar trend continuing into 2023. To explore this further, a Multiple Linear Regression model incorporating a large panel of variables was developed. Results indicate that new driver uptake correlates more with other influencing factors than with the subsidy itself. They highlight a strong complementarity with train services, as new drivers are associated with train transport shortages and seasonality, particularly during peak demand periods.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"116 ","pages":"Article 101734"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147421636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Drivers of low-carbon economic efficiency in China's transportation sector: Is the digital economy a key determinant?","authors":"Lianxiao Yao , Minghui Jin","doi":"10.1016/j.retrec.2026.101739","DOIUrl":"10.1016/j.retrec.2026.101739","url":null,"abstract":"<div><div>This study investigates the influence of digital economy expansion on low-carbon economic efficiency in the transportation industry across Chinese provinces from 2011 to 2022. The analysis relies on a spatial Durbin econometric model. The results reveal a U-shaped relationship between the digital economy and low-carbon economic efficiency. During the sample period, most provinces lie on the left side of the U-shaped curve, where the marginal negative effect of further digitalization diminishes as digital development deepens, while some observations have already moved to the right side of the curve. The U-shaped effect also has significant spatial spillovers. To unpack the mechanisms, this study considers both government and market channels. On the government side, the digital economy strengthens environmental regulation, and tighter regulation significantly enhances the transportation sector's low-carbon economic efficiency. On the market side, as the digital economy evolves from the installation to the deployment stage, it exerts a U-shaped influence on capital productivity. Higher capital productivity improves local low-carbon economic efficiency; however, through a siphon effect, it suppresses low-carbon economic efficiency in neighboring regions. These findings provide empirical support for guiding the standardized development of the digital economy and improving low-carbon economic efficiency in the transportation sector.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"116 ","pages":"Article 101739"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147421637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 projection-based regret theory method for evaluating service quality of public transportation systems under interval type-2 fuzzy environment during COVID-19 pandemic","authors":"Naijie Chai , Ziyu Chen , Wenliang Zhou","doi":"10.1016/j.retrec.2026.101716","DOIUrl":"10.1016/j.retrec.2026.101716","url":null,"abstract":"<div><div>Public transportation plays a vital role in urban mobility, particularly in large and densely populated cities. As a result, evaluating service quality of public transportation systems has become a strategic decision-making concern for both private and public sections. In particular, facing with the expeditiously spreading of coronavirus disease 2019 (COVID-19), it led to an unprecedented decline in public transit demand and revenue, while also exacerbating traffic congestion during peak hours. This study aims to improve the passengers' satisfaction problem of public transportation during the COVID-19 pandemic, and to assess their satisfaction degrees by conducting passengers’ satisfaction surveys. A novel projection-based regret theory approach based on interval type-2 fuzzy sets (IT2FSs) is introduced to solve multi-criteria decision-making problems related to service evaluation. First, a projection model of IT2FSs is formulated, incorporating both distance and angle information. Second, by integrating this projection model with regret theory, new utility and regret-rejoice functions are constructed to enhance decision-making effectiveness. Comparative analyses with existing methods demonstrate the superiority of the proposed approach in capturing the psychological factors of decision makers. The model yields more reliable and realistic outcomes, offering valuable insights into future enhancements in public transportation service quality. Furthermore, sensitivity analysis verifies the robustness of the method, as the ranking results remain stable when varying parameter settings. As a conclusion, the service quality of public transportation systems from the best to the worst in sequence are as follows: taxi, e-hailing, bus, van and metro, and this can assist policymakers and transit agencies in making more informed and efficient resource allocation decisions during and after the pandemic.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"116 ","pages":"Article 101716"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hua Yao , Haijun Mao , Shunfeng Zhang , Zhiyuan Wang , Dongfang Wang , Lei Yang
{"title":"The impact of environmental regulation and logistics industry agglomeration on road green logistics efficiency: Evidence from China","authors":"Hua Yao , Haijun Mao , Shunfeng Zhang , Zhiyuan Wang , Dongfang Wang , Lei Yang","doi":"10.1016/j.retrec.2026.101718","DOIUrl":"10.1016/j.retrec.2026.101718","url":null,"abstract":"<div><div>Decoupling road logistics from road freight activity is essential for controlling CO<sub>2</sub> emissions, and environmental regulation (ER) can serve as a key mechanism to achieve this goal. At the same time, logistics industry agglomeration (LIA), when reasonably managed, can enhance logistics efficiency. However, tensions arise because the rapid expansion of the logistics sector exerts substantial environmental pressure, even though the development of green logistics may partially offset its carbon impacts. Against this backdrop, this study investigates the interrelated effects of ER, LIA, and road green logistics efficiency (RGLE) in order to improve the operational sustainability of road logistics systems. Using panel data from 30 Chinese provinces spanning 2008–2023, we explore the effect of ER on RGLE and examine how this relationship varies with the inclusion of LIA using moderating and threshold effect models. Empirical results show that RGLE initially declines before increasing, with significant spatial variability. Interestingly, econometric findings indicate that ER does not directly improve RGLE but effectively enhances it through its interaction with LIA. Furthermore, the impact of ER on RGLE exhibits a “U-shaped” relationship under different LIA values. Consequently, this study concludes with recommendations to improve RGLE through optimizing LIA, and strengthening regional linkage.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"116 ","pages":"Article 101718"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Victor Medeiros, Rafael S.M. Ribeiro, Pedro V.M. Amaral
{"title":"Infrastructure, growth, and regional disparities: Looking at efficiency, redistribution, and equity goals in road investments","authors":"Victor Medeiros, Rafael S.M. Ribeiro, Pedro V.M. Amaral","doi":"10.1016/j.retrec.2025.101668","DOIUrl":"10.1016/j.retrec.2025.101668","url":null,"abstract":"<div><div>This paper evaluates the role of transportation infrastructure policies in raising productivity by considering heterogeneities in efficiency, redistribution, and equity. Using a three-step instrumental variable identification strategy, we estimate the causal impacts of road investments on GDP <em>per capita</em> in Brazilian municipalities during the Growth Acceleration Program (PAC), implemented from 2007 to 2018. Our findings show that highway investments significantly increased productivity, particularly in less-developed and poorly connected municipalities. Conversely, returns were lower or insignificant in highly developed and efficient areas, likely due to infrastructure saturation and implementation inefficiencies. These results suggest that road impacts are not homogeneous and that spatial targeting matters. Building on these heterogeneities, we calculate regionalized return rates and identify “focal points” where road investments can achieve both economic efficiency and inclusion objectives. We find that Brazil could have achieved higher overall returns by prioritizing redistributive and spatially equitable investments rather than concentrating resources in already-developed regions. The paper contributes to the literature by jointly analyzing the efficiency, redistribution, and equity dimensions of infrastructure investment and providing policy-relevant evidence on how to improve the design and targeting of national transport programs.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"115 ","pages":"Article 101668"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145617374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Where are we headed with research, training and practice in land passenger transport governance in Africa?","authors":"Lydia Akoth Midimo , Marianne Vanderschuren , Gladys Moraa Nyachieo","doi":"10.1016/j.retrec.2025.101673","DOIUrl":"10.1016/j.retrec.2025.101673","url":null,"abstract":"<div><div>This paper, based on a scoping review of selected studies, examines the status of land passenger transport governance research, training and practice in Africa. The findings of this paper are outlined as follows. Transport governance research in Africa is in a nascent stage with respect to theoretical, methodological and empirical advancements. While relevant theories and methods are utilised, the contextualised reformulation of these theories and methods, based on the African reality is, however, not evident. A sustained effort by prolific scholars who pursue an engaging research agenda or expand on initial transport governance research is not also evident. Hence, there is a tendency for one-off empirical studies and not a stream of related studies by the same researcher on a set of topics. An exploratory analysis of courses in 26 African universities shows that there was no course dedicated solely to transport governance as a standalone course. Several practices of transport governance like public participation, performance monitoring and accountability exist but the extent to which they are adhered to, need to be assessed.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"115 ","pages":"Article 101673"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Task-level causal effects of maintenance staffing shortages on aircraft-on-ground (AOG) and reliability","authors":"Arthur C. Dela Peña, Meredith I. Rutao","doi":"10.1016/j.retrec.2025.101701","DOIUrl":"10.1016/j.retrec.2025.101701","url":null,"abstract":"<div><div>Staffing shortages in aircraft maintenance are a critical driver of operational cost and reliability, yet most studies focus on aggregated effects, obscuring task-level dynamics. This study provides quasi-experimental evidence linking staffing intensity (SI) and skill mix (SM) to aircraft-on-ground (AOG) exposure, deferrals, and repair reliability in a multi-base Maintenance, Repair, and Overhaul (MRO) setting. Using 24–36 months of operational data across five stations, we apply a staggered difference-in-differences event-study design, Cox proportional hazards modeling, and mediation analysis to estimate direct and indirect effects of staffing fluctuations. Shortage episodes are identified using station-specific SI thresholds, with outcomes measured in AOG minutes, deferrals per 100 departures, and time-to-closure. Results show shortages increase AOG exposure by 0.10 per 1000 flight hours and deferrals by 0.07 per 100 departures. Higher SI accelerates closure (Hazard Ratio HR ≈ 1.11) and reduces repeat-defect risk (OR 0.88–0.91), with two-thirds of the effect mediated through variance in turnaround time (TAT) and deferral reduction. Effects are concentrated at night, during rainfall, at smaller bases, and in Air Transport Association (ATA) 21/24 systems. Policy simulations show skill-mix upgrades yield the lowest cost per AOG-minute avoided, offering actionable strategies for risk-based staffing and predictive rostering.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"115 ","pages":"Article 101701"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 the dynamics of vessel pricing and investor behavior in dry bulk shipping","authors":"Michael Tsatsaronis , Hercules Haralambides , Theodore Syriopoulos , Eftymios Roumpis","doi":"10.1016/j.retrec.2025.101699","DOIUrl":"10.1016/j.retrec.2025.101699","url":null,"abstract":"<div><div>Ships are heavily traded assets and their prices fluctuate wildly in paralell with the underlying freight rates. This confronts investors with sizable market risks but also, for some, with attractive profit opportunities from <em>sale and purchase</em> (S&P) transactions. The paper explores the complex pricing dynamics in dry bulk shipping. We employ modern machine learning techniques, such as k-means clustering, to explore a range of investment behaviors, with the hope of offering investors, asset players and new investor archetypes novel insights on vessel pricing and investment decisions. Through cluster analysis, we classify investors in the S&P market, unveiling investor profiles and behaviours. Chinese shipping investors, for instance, focus on achieving vertical and horizontal integration within the global supply chains, whereas, Greek shipowners are reputed for investing in ship acquisitions even amid economic downturns, demonstrating an agile and adaptive business strategy (McKinsey & Company, 2024). Our results carry potent implications regarding tailored market strategies, risk management, policy formulation, market transparency, investor education, and technology adoption.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"115 ","pages":"Article 101699"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Priyanka Paithankar , Kara M. Kockelman , Krishna Murthy Gurumurthy
{"title":"Ride-hailing fares and demand interactions: insights from market analysis over space and time","authors":"Priyanka Paithankar , Kara M. Kockelman , Krishna Murthy Gurumurthy","doi":"10.1016/j.retrec.2026.101738","DOIUrl":"10.1016/j.retrec.2026.101738","url":null,"abstract":"<div><div>Ride-hailing providers like Uber, Lyft, and Didi compete daily in global markets, yet existing research has largely overlooked the dynamic interdependence between fares and demand across time, location, and service providers. This study addresses that gap by jointly estimating the simultaneous relationship between demand and per-mile fares for Uber and Lyft in New York City (NYC). A system of simultaneous equations is solved using instrumental variables that account for cross-equation correlation and endogeneity. The analysis leverages operator-specific fare data and served-trip demand every 10 min over a 15-day period across NYC's 260 taxi zones. The results reveal strong asymmetries in competitive behavior. A $1 per mile fare increase cuts Uber demand by 5.8% but Lyft demand by 64%, implying Uber is the default platform while Lyft is a highly price sensitive substitute. And wait time matters more than price: Adding 1.5-min delay to vehicles is predicted to trigger a 37% demand reduction. Supply-side responses also differ. A one standard deviation demand increase raises Uber fares by 9% versus 2.2% for Lyft, indicating more aggressive surge pricing by the dominant platform. Rainy days are associated with lower demand, while higher temperatures and wind speeds come with greater ride-hailing demand.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"116 ","pages":"Article 101738"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147421739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}