Research in Transportation Business and Management最新文献

{"title":"Traffic congestion, corporate social responsibility (CSR), and community perception: Narrowing the gap between “talking” CSR and “walking” CSR","authors":"Bukola Bakare ,&nbsp;Diomo Motuba ,&nbsp;Joseph Szmerekovsky","doi":"10.1016/j.rtbm.2025.101501","DOIUrl":"10.1016/j.rtbm.2025.101501","url":null,"abstract":"<div><div>This study explored corporate social responsibility (CSR) practice and public perceptions of that practice to traffic congestion (TC). This investigation uses a phenomenological and qualitative method to analyze how Corporate CSR practices by corporations that can mitigate Traffic Congestion (TC) align with how communities perceive their effectiveness. While CSR and TC have been widely studied, there is a gap in the literature in incorporating TC as part of CSR strategies. We use Atlanta, GA, in the U.S.A. as a case study to investigate how corporations TC related CSR efforts are perceived by three stakeholder groups, including corporate executives, community members, and a non-profit, urban redevelopment, organization, the Atlanta Beltline, Inc. (ABI). This study also evaluates if corporations include and prioritize TC as part of their CSR efforts, especially on how it affects their operations. As such, this study incorporates two research questions: (1) How are corporations integrating TC within their CSR strategies? (2) How do stakeholders perceive TC and its relationship to CSR? We achieve our overall goal through face-to-face and phone interviews, which were later evaluated qualitatively. Results show that while corporate managers' views of CSR vary overall, most regard TC as an intractable social problem. Community groups are mostly unaware of CSR's role in mitigating TC but see the potential of the ABI's project, which could be supportive, that is, act as a link or bridge between corporations' CSR and TC mitigation. Overall findings suggest that corporations' CSR strategies toward TC mitigation are currently under-reported, but also a promising domain for CSR, which can serve as an innovative leverage point for corporations. CSR and TC mitigation can also demonstrate corporations' commitment to act as responsible community leaders while simultaneously enabling public agencies to utilize the resources and expertise of the business world to increase sustainable modes of transportation while tackling TC.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"63 ","pages":"Article 101501"},"PeriodicalIF":4.4,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling the Panama Canal's economic influence: An input-output measuring","authors":"M. Laura Ojeda ,&nbsp;M. Priscila Ramos ,&nbsp;Carlos A. Romero ,&nbsp;Juan I. Mercatante ,&nbsp;Juan Carlos Hallak","doi":"10.1016/j.rtbm.2025.101508","DOIUrl":"10.1016/j.rtbm.2025.101508","url":null,"abstract":"<div><div>This paper offers a comprehensive analysis of the economic impact of the Panama Canal on the Panamanian economy in 2022. Utilizing an Input-Output model calibrated with a detailed Social Accounting Matrix and Employment Satellite Account, the study examines the direct contributions of the Canal, exploring its interindustry connections, labor dynamics, and effects on government finances. The Hypothetical Extraction exercise within the Input-Output framework quantifies the broader economic ramifications. Results highlight the Canal's pivotal role, extending beyond direct contributions, and emphasize its significance in shaping the national economy. The Canal's total contribution to GDP is estimated at 7.7 %, exceeding 23 % in government revenues (mainly dividends). Regarding exports, 15.9 % can be attributed to the Canal. Additionally, the Canal significantly contributes to job creation, accounting for 2.9 % of total employment. This approach and case study provide valuable insights for policymakers and stakeholders, aiding informed decision-making and development strategies in Panama's ongoing economic journey.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"63 ","pages":"Article 101508"},"PeriodicalIF":4.4,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing subsidy strategies for high-speed railways: A Stackelberg game approach between local governments and railway operators","authors":"Shoushuai Zhang,&nbsp;Rui Yan,&nbsp;Yongji Luo,&nbsp;Jiahui Rao,&nbsp;Haifeng Yan","doi":"10.1016/j.rtbm.2025.101498","DOIUrl":"10.1016/j.rtbm.2025.101498","url":null,"abstract":"<div><div>To offset railway losses, local governments frequently subsidise train services, yet disputes over subsidy amount and the number of trains commonly arise between GOV and CRC. To address this challenge, this study develops a Stackelberg game model based on the measurement of various types of revenue and expenses, in which GOV (as leaders) choose the subsidy amount required to operate trains and CRC (as followers) decides on the number of trains to operate. We use python language programming to call Gurobi solver to solve the game model. This model is validated using the Southern Sichuan Intercity Railway in Sichuan Province, China, as an example. The results indicate that there is a positive correlation between the number of trains operated by the CRC and the subsidies provided by the GOV. Excessive or insufficient subsidies can lead to a decrease in government benefits. The optimal and stable strategy for both parties is that GOV provides 0.943million CNY per train pair per month, while CRC operates 32 pairs of trains. GOV should be approximately 0.4 million CNY per train pair per month to ensure the normal operation of the railway line. Finally, we conducted a sensitivity analysis of passenger demand and financial costs, and the results showed that when determining subsidy strategies, the main consideration should be passenger demand rather than financial costs. This study has certain reference significance for construction and operation of high-speed railway.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"63 ","pages":"Article 101498"},"PeriodicalIF":4.4,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental concerns, technological factors, total cost of ownership, and charging infrastructure accelerate intention to electric vehicle adoption: A non-linear value-attitude-intention model","authors":"Amit kumar Gupta","doi":"10.1016/j.rtbm.2025.101504","DOIUrl":"10.1016/j.rtbm.2025.101504","url":null,"abstract":"<div><div>The transportation industry is responsible for over 20 % of global carbon dioxide emissions, primarily due to the widespread use of Internal Combustion Engine vehicles. Conventional fuels, such as petrol and Diesel, are the most significant contributors to greenhouse gases, which lead to several health problems, global warming, climate change, and depletion of natural resources. The Electric vehicle is found to have multi-dimensional advantages over traditional fuel vehicles based on the Literature. The primary advantages of electric vehicles (EVs) include reduced operating and maintenance costs, high efficiency (∼3 times), no exhaust emissions, minimal air and noise pollution, and reduced depletion of fossil fuel sources. Besides the advantages and numerous government initiatives, the adoption rate of EVs is still very low. Thus, the study aimed to examine the impact of charging infrastructure, Technological factors, Total ownership cost, and Environmental concerns on the intention to purchase EVs in India, grounded on the theory of planned behavior and value-attitude-behavior hierarchy. A structured questionnaire was designed to collect the sample from the relevant respondents. A confirmatory composite analysis was done to test the measurement model. A total of 553 cleaned data are used to test the hypotheses using Warp-PLS-Structural Equation Modelling. Most of the relationships obtained were of the WARP2 type, i.e., j-type, U-type, or exponential type. All the factors significantly contributed to adoption, but the most prominent value-added factors influencing the adoption of EVs are environmental concerns (<em>β = 0.172, f</em>^<em>2</em> <em>= 0.074, p &lt; 0.001</em>), charging infrastructure <em>(β = 0.119, f</em>^<em>2</em> <em>= 0.036, p &lt; 0.001),</em> and technological factors <em>(β = 0.075, f</em>^<em>2</em> <em>= 0.029, p = 0.002)</em>. In contrast, the Total cost of ownership <em>(β = 0.058, f</em>^<em>2</em> <em>= 0.019, p = 0.007)</em>, although significant, has a weak effect size. The study developed the “Non-Linear Value-Attitude-Intention” model. The study also strengthens the methodology by using confirmatory composite analysis to test the measurement model. The study further validated the outcome using robustness tests. The study will help the government to improve the charging infrastructure by changing the construction codes to require EV parking and charging stations in malls, businesses, workplaces, etc. Steps must be formulated to minimize the total cost of ownership through discounts and other related policies.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"63 ","pages":"Article 101504"},"PeriodicalIF":4.4,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145048783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Barriers and solutions for adopting shared electric mobility: An integrated fuzzy-MCDM approach","authors":"Janak Parmar ,&nbsp;Paolo Delle Site ,&nbsp;Dilum Dissanayake","doi":"10.1016/j.rtbm.2025.101502","DOIUrl":"10.1016/j.rtbm.2025.101502","url":null,"abstract":"<div><div>This paper presents an integrated fuzzy-MCDM (Multi-Criteria Decision-Making) framework to identify and prioritise barriers to the adoption of Electric Vehicle Sharing Services (EVSS), and to rank the most effective policy solutions. The fuzzy Best-Worst Method (BWM) is employed to determine the relative weights of barriers, while the fuzzy Combined Compromise Solution (CoCoSo), enhanced with Bonferroni mean operators, is used to rank policy solutions. A case study from the United Kingdom is used to validate the proposed framework. Findings highlight behavioural barriers (e.g., habits, perceived cost) as most critical, followed by policy and infrastructural barriers. Key policy solutions include strategic financial investments, optimal station locations, improved infrastructure, and public awareness campaigns. By simultaneously addressing multiple barriers and solutions trade-offs, the study underscores need for a coherent national framework and supportive policies, offering critical insights to promote shared electric mobility and sustainable urban transport. The main contribution of this study lies in offering a robust, adaptable decision-support framework for policymakers to systematically address EVSS adoption challenges. The study facilitates prioritising interventions and optimising resource allocation, thereby supporting the transition towards sustainable urban mobility.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"63 ","pages":"Article 101502"},"PeriodicalIF":4.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145026907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revisiting the effects of e-shopping on shopping trips: Empirical evidence from Chengdu, China","authors":"Enlong Li ,&nbsp;Martin Dijst ,&nbsp;Yongchun Yang ,&nbsp;Kunbo Shi ,&nbsp;Frank Witlox","doi":"10.1016/j.rtbm.2025.101496","DOIUrl":"10.1016/j.rtbm.2025.101496","url":null,"abstract":"<div><div>The rapid proliferation of e-commerce has profoundly changed the way people shop and travel. To date, numerous empirical studies have examined the impact of e-shopping on shopping trips. However, there is still no consensus on this topic, which is probably because the existing analytical methods cannot effectively measure the relationship. This study aims to revisit the travel effects of e-shopping using current shopping behavior as a reference point, ensuring the temporal precedence of causal inference. Utilizing data from 742 respondents in Chengdu, China, we found that 41.5 %–68.2 % of the respondents would be inclined to increase their frequencies of shopping travel for four categories of products (i.e., clothes, books, packaged foods, and daily necessities) if these goods were not available online, suggesting stronger substitution effects. Additionally, the substitution effect varies notably among product categories, with clothes showing a stronger substitution effect compared to others. In addition, regression outcomes suggest that longer smartphone use history, greater e-shopping enjoyment, and lower street density increase the likelihood of substituting shopping travel.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"63 ","pages":"Article 101496"},"PeriodicalIF":4.4,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Financial market volatility and maritime freight indices: A connectedness approach","authors":"Savaş Tarkun","doi":"10.1016/j.rtbm.2025.101506","DOIUrl":"10.1016/j.rtbm.2025.101506","url":null,"abstract":"<div><div>This study investigates the dynamic and time-varying connectedness between global financial markets and maritime freight indices, emphasizing the transmission and direction of volatility shocks during periods of economic uncertainty. Using the Connectedness Decomposition Approach (TVP-VAR-based), we explore the interaction between major global stock indices (e.g., S&amp;P 500, DJIA, DAX, NIKKEI225) and maritime freight indicators (BDI, BDTI, BCTI) over the period from January 2013 to December 2024. Our results reveal that stock market volatility significantly influences shipping indices, especially during global crises such as the COVID-19 pandemic. However, freight indices are not merely passive receivers of financial shocks; in certain episodes, they act as net transmitters of volatility, affecting financial markets in return. This dual behavior indicates a structural shift in the maritime sector's role within the global economic system. Furthermore, the findings show a declining trend in total connectedness post-2016, reflecting increased segmentation between freight and financial markets. These insights are particularly valuable for policymakers, investors, and maritime stakeholders seeking to develop hedging strategies, strengthen supply chain resilience, and better forecast market dependencies during financial and geopolitical turmoil.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"63 ","pages":"Article 101506"},"PeriodicalIF":4.4,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of urban rail transit passenger-freight co-transport considering cross-subsidy between passenger and freight","authors":"Xiaoyan Jia,&nbsp;Zhongxiang Wei,&nbsp;Zhipeng Huang","doi":"10.1016/j.rtbm.2025.101503","DOIUrl":"10.1016/j.rtbm.2025.101503","url":null,"abstract":"<div><div>Urban spatial restructuring and industrial upgrading have significantly increased urban passenger and freight demands, imposing dual pressures on air transport collection and distribution systems. On one hand, airport passenger and cargo volumes continue to rise. Meanwhile, accelerated urbanization has reduced road transport efficiency, with growing vehicle numbers outpacing road resource supply, leading to slower passenger and freight flows between airports and city centers. As a safe, fast, and highly punctual mode, urban rail transit plays an increasingly vital role in urban transportation. However, due to their late start, urban rail transit lines linked to airports experience passenger flows heavily influenced by flight arrivals, resulting in lower ridership during off-peak periods and surplus transport capacity. Therefore, utilizing these airport-connected urban rail transit lines to provide cargo distribution services between airports and city centers presents a potential solution. This approach can harness surplus line capacity to enhance distribution efficiency while mitigating operational losses from insufficient ridership and boosting revenue. This research addresses the urban rail transit passenger-freight co-transport challenge by proposing an optimization model that simultaneously considers passenger comfort and penalties for unmet freight demand. The model fulfills freight demand allocation by adjusting train timetables while satisfying train operational and capacity constraints. To solve this optimization problem, an enhanced greedy algorithm is designed, implementing dual strategies: prioritizing freight demands with higher freight revenue for transport and assigning transport tasks to trains with fewer waiting passenger counts at stations. This ensures passenger service quality while increasing freight revenue and completing demand allocation. Concrete numerical experiments, including comparisons with GUROBI solver results, validate the effectiveness of the model and algorithm. The study offers a novel approach for optimizing urban rail transit timetables and developing enterprise operational strategies.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"63 ","pages":"Article 101503"},"PeriodicalIF":4.4,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144996904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of low-cost carriers on hybrid carriers: The case of the Australian domestic market","authors":"Wenliang Ma ,&nbsp;Yuankai Zhang ,&nbsp;Yahua Zhang","doi":"10.1016/j.rtbm.2025.101499","DOIUrl":"10.1016/j.rtbm.2025.101499","url":null,"abstract":"<div><div>COVID-19 forced Virgin from a full-service carrier to emerge as a hybrid carrier. This study analyzes booking fare data from four major domestic routes in Australia to understand the pricing influence of low-cost carriers on hybrid carriers. Findings indicate that Virgin maintains fare levels between Qantas and Jetstar, with fares aligning more closely with Jetstar over long booking periods (28 days and 60 days before departure). Empirical results reveal that Virgin adopts a limited price-following strategy in response to Jetstar's fare adjustments. Specifically, during long booking periods, Virgin's fares exhibit a significant co-movement response when Jetstar adjusts its fares but show weak and statistically insignificant responses during short booking periods (1–21 days before departure). Given the steady growth in market share for both Virgin and Jetstar, more complex competitive patterns are likely to emerge in the future.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"63 ","pages":"Article 101499"},"PeriodicalIF":4.4,"publicationDate":"2025-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145265709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategic multi-criteria assessment for cold chain logistics optimization in the aviation sector","authors":"Associate Prof. Filiz Mizrak ,&nbsp;Assistant Prof. Serkan Cantürk","doi":"10.1016/j.rtbm.2025.101500","DOIUrl":"10.1016/j.rtbm.2025.101500","url":null,"abstract":"<div><div>Aviation cold chain logistics forms the focus of this study, which introduces a novel hybrid multi-criteria decision-making (MCDM) framework for optimizing sustainable operations, uniquely integrating the newly developed Multi-Objective Seagull–Moth–Salp Swarm Algorithm (MO-SMSA) with K-Means clustering and the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE). By explicitly addressing the simultaneous demands of sustainability, cost efficiency, operational feasibility, regulatory compliance, and technological integration, the research fills a critical methodological gap in aviation logistics optimization. Qualitative thematic analysis of expert interviews uncovers persistent industry challenges, including the cost–sustainability trade-off, high capital requirements for advanced technology adoption, and regulatory asymmetries across international markets. The methodology applies rigorous data preprocessing and min–max normalization to ensure reproducibility, clusters solutions into efficiency-driven, sustainability-oriented, and technology-enhanced categories, and then employs PROMETHEE to prioritize alternatives, with AI-driven predictive maintenance emerging as the leading solution. The novelty of MO-SMSA lies in its ability to dynamically adapt to shifting decision-maker priorities through scenario analysis and sensitivity testing, capturing complex trade-offs under diverse operational contexts such as high-demand vaccine distribution and general perishable goods transport. Results demonstrate that combining AI, IoT-enabled monitoring, and sustainable packaging yields the most balanced gains in efficiency, environmental performance, and compliance readiness. This study advances the literature by introducing a replicable, practitioner-friendly decision-support model that leverages a cutting-edge optimization algorithm, offering actionable insights for logistics managers, policymakers, and sustainability advocates seeking to strengthen resilience and competitiveness in aviation cold chain operations.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"63 ","pages":"Article 101500"},"PeriodicalIF":4.4,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144918023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}