Wenjing Wang , Jianzhong Ma , Hongcheng Gan , Mingjun Wang , Yanbin Zhang , Jinpeng Wen
{"title":"Exploring travelers' intentions to adopt gamified green travel applications: An integrated model of TAM and TPB","authors":"Wenjing Wang , Jianzhong Ma , Hongcheng Gan , Mingjun Wang , Yanbin Zhang , Jinpeng Wen","doi":"10.1016/j.rtbm.2025.101515","DOIUrl":"10.1016/j.rtbm.2025.101515","url":null,"abstract":"<div><div>Amidst escalating urban traffic congestion and environmental concerns, promoting green travel has become a global imperative. Despite growing interest in sustainable transportation, the adoption of green travel modes remains limited due to various barriers such as convenience and motivation. Gamified green travel applications, which integrate game design elements into travel planning, have emerged as a promising solution to enhance user engagement and motivation for sustainable travel. This study investigates travelers' intentions to adopt these applications in Shanghai, integrating the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB). Data from 437 residents were analyzed using PLS-SEM. Results show that Perceived Usefulness (PU) positively influences Instrumental Attitude (IATT) and Experiential Attitude (EATT), while Perceived Ease of Use affects PU and EATT but not IATT. Subjective Norms and Perceived Behavioral Control significantly impact adoption intentions. Additionally, rewards enhance PU, IATT, and EATT. This study contributes by integrating TAM, TPB, and rewards, offering insights for promoting sustainable travel behaviors through enhanced user experience and effective incentives. The results provide valuable insights for policymakers and application developers, emphasizing the need to enhance user experience, leverage social influence, and incorporate effective reward mechanisms to promote sustainable travel behaviors.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101515"},"PeriodicalIF":4.4,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145270951","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}
Francesco Cavina , Giovanni Garola , Arianna Seghezzi , Chiara Siragusa , Riccardo Mangiaracina , Alessandro Perego
{"title":"On-demand people and parcels shared mobility: an environmental, economic, and service evaluation","authors":"Francesco Cavina , Giovanni Garola , Arianna Seghezzi , Chiara Siragusa , Riccardo Mangiaracina , Alessandro Perego","doi":"10.1016/j.rtbm.2025.101525","DOIUrl":"10.1016/j.rtbm.2025.101525","url":null,"abstract":"<div><div>Municipalities face increasing challenges due to the growing complexity of urban mobility and the rising volume of e-commerce deliveries, leading to significant social and environmental concerns. Herein we propose and evaluate an on-demand shared mobility service that combines passenger and parcel transportation, leveraging route commonalities to enhance efficiency. Using an agent-based simulation, the proposed service is compared against two alternatives: (1) a shared on-demand mobility service for passengers only (taxi model), and (2) a combined service with traditional van-based parcel delivery. The comparison is based on profit, environmental sustainability, and service quality. Results show that the proposed solution offers the highest environmental benefits while remaining profitable for logistics providers and cost-effective for customers. Academically, this research contributes to the share-a-ride literature by exploring a novel integrated logistics model. From an industry perspective, it presents and evaluates an innovative shared solution with demonstrated benefits for all stakeholders.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101525"},"PeriodicalIF":4.4,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271316","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":"Beyond the obvious: Direct and indirect impacts of transport infrastructure investment on the regional economic growth","authors":"Inseok Park, Donggyu Yi","doi":"10.1016/j.rtbm.2025.101523","DOIUrl":"10.1016/j.rtbm.2025.101523","url":null,"abstract":"<div><div>This study examines the impact of transportation infrastructure investment on regional economic growth by distinguishing between direct and indirect effects. Using data from 51 U.S. regions (50 states and Washington, D.C.) between 2007 and 2017, we employed mediation analysis and two-stage least squares (2SLS) regression to assess the causal mechanisms through which transportation infrastructure influences economic outcomes. The results revealed that transportation infrastructure directly contributes to economic growth by increasing capital stock while also generating significant indirect effects through productivity, labor markets, and traffic volume. Our findings indicate that the total effect of transportation infrastructure investment on regional economic growth is 0.135, comprising a direct effect of 0.053, a feedback loop effect of 0.051, and an indirect effect of 0.031. Notably, productivity benefits from improved infrastructure owing to enhanced market accessibility and agglomeration effects. In contrast, labor markets experience both positive and negative impacts, with congestion potentially offsetting employment gains. These findings underscore the importance of incorporating both direct and indirect effects when evaluating infrastructure policies, as failing to account for externalities, such as traffic volume, may lead to suboptimal investment decisions.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101523"},"PeriodicalIF":4.4,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271315","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":"Origin-destination demand prediction for shared mobility service using fully convolutional neural network","authors":"Karn Patanukhom , Santi Phithakkitnukoon , Merkebe Getachew Demissie","doi":"10.1016/j.rtbm.2025.101527","DOIUrl":"10.1016/j.rtbm.2025.101527","url":null,"abstract":"<div><div>Emerging on-demand shared mobility services face significant challenges in balancing demand effectively. The rapid expansion of these services necessitates precise origin-destination demand prediction to optimize fleet management, operational efficiency, and seamless multimodal integration within evolving urban transportation systems. Our previous work addressed this issue using a Masked Fully Convolutional Network (MFCN) model for short-term pick-up/drop-off demand forecasting. In this study, we introduce a predictive modeling framework for short-term origin-destination demand prediction, leveraging Convolutional Neural Networks (CNNs) and integrating our MFCN model. We further enhance the framework with novel prediction fusion and scaling methodologies to improve accuracy. Additionally, we propose a new loss function designed to effectively train the model by incorporating both demand volume and spatial location information. To evaluate the framework, we applied it to shared e-scooter trip data from Calgary, Canada, testing two prediction scenarios: next-hour and next-24-h forecasts. The model's performance was benchmarked against baseline approaches, including a naïve predictor, linear regression, Graph Convolutional Networks (GCN), and other variant models. Our results demonstrate that the proposed model outperforms all baselines in terms of true positive and F1-score values, highlighting its effectiveness in predicting demand. Furthermore, the high degree of regularity in daily mobility patterns suggests that shared e-scooter demand is predictable over a 24-h period. However, when considering spatial error, the performance difference between the two prediction schemes is reduced. This study not only enhances predictive modeling for shared mobility services but also contributes to the broader discourse on transformative mobility patterns. By integrating predictive analytics into Mobility-as-a-Service (MaaS) ecosystems, this approach can facilitate dynamic fleet rebalancing, inform data-driven policy decisions, and support the transition toward more sustainable and adaptive urban transportation systems.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101527"},"PeriodicalIF":4.4,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271311","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}
Francesco Piras, Giovanni Tuveri, Eleonora Sottile, Tariq Naveed, Italo Meloni
{"title":"Who is more willing to use a smartphone app to promote sustainable travel behavior?","authors":"Francesco Piras, Giovanni Tuveri, Eleonora Sottile, Tariq Naveed, Italo Meloni","doi":"10.1016/j.rtbm.2025.101518","DOIUrl":"10.1016/j.rtbm.2025.101518","url":null,"abstract":"<div><div>In the last decade, there has been growing interest in Voluntary Travel Behavior Change (VTBC) programs that use smartphone applications to encourage people to shift from car use to more sustainable transportation modes. However, most of these programs have used small and distorted sample sizes, making it unclear who are the individuals who choose to download and use such apps. To address this gap, in the current study we investigate which objective and subjective factors could influence individuals' intention to use a VTBC application designed to promote sustainable mobility, while also examining the interplay between this intention and current travel habits. To analyze these relationships, we developed a joint Integrated Choice and Latent Variable (ICLV) model that simultaneously considers two choice dimensions: (1) current commuting mode choice, and (2) intention to adopt the VTBC application. Our analysis uses data from 3044 commuters who were invited to take part to a VTBC program in the Cagliari metropolitan area (Italy). At the aggregate level, 44.1 % of respondents expressed interest in using the VTBC application. The modeling results reveal that individuals with graduate education, monthly incomes below €2000, and bicycle ownership demonstrate higher likelihood of app adoption. Among psychological factors, <em>Environmental Concern</em> and <em>Attitude toward Sustainable Mobility</em> positively influence the intention to use the application. As far as the interaction with mode choice is concerned, public transit users show stronger intention to adopt the application. Notably, some of the variables influencing app adoption intention differ from those affecting commuting mode choice, suggesting these represent distinct behavioral processes. These findings have important policy implications, emphasizing the need to carefully consider the promotion of such to engage as many people as possible. Additionally, extra caution is required when interpreting the results of these programs and their generalizability to the entire population, due to the self-selection of participants.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101518"},"PeriodicalIF":4.4,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145270952","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}
Irfan Ullah , Kai Liu , Muzaffar Iqbal , Krishna Bhattarai , Hamad Almujibah
{"title":"Empowering sustainable public transportation: Addressing barriers and driving the electric bus revolution","authors":"Irfan Ullah , Kai Liu , Muzaffar Iqbal , Krishna Bhattarai , Hamad Almujibah","doi":"10.1016/j.rtbm.2025.101521","DOIUrl":"10.1016/j.rtbm.2025.101521","url":null,"abstract":"<div><div>Transportation economics plays a vital role in shaping sustainable mobility solutions by analyzing cost structures, investment strategies, and policy impacts on transportation systems. In this context, electric buses (EBs) emerge as a promising solution for achieving carbon neutrality in public transportation, offering an environmentally friendly alternative to traditional fuel-based transit systems while enhancing economic efficiency in the long run. EBs play a crucial role in reducing urban emissions and lowering operational costs associated with fossil fuel dependency. However, in India, the adoption of EBs is still in its early stages due to several significant barriers. To address these challenges, this study has identified 18 barriers through a comprehensive review of the literature and expert opinions, aiming to provide insights and strategies for overcoming these barriers and promoting the widespread use of EBs in the country. This study employed a three-step model involving DEMATEL, ISM, and MICMAC approaches to examine the cause-effect relationship between the barriers and further identify the main influential barriers. The results indicate that financial planning obstacles, inadequate subsidies, and public perception are the most influential barriers. Policymakers should prioritize eliminating these barriers to ensure the effective implementation of EBs in India.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101521"},"PeriodicalIF":4.4,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271314","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":"Survival of small firms after new transit lines: Evidence from Seoul","authors":"Jangik Jin , Danya Kim","doi":"10.1016/j.rtbm.2025.101519","DOIUrl":"10.1016/j.rtbm.2025.101519","url":null,"abstract":"<div><div>We examined the impact of a new subway line on the closing rates of small businesses in Seoul, focusing on the changes in business survival rates before and after the opening of subway line 9. We obtained individual business license data that contain information on the geographic coordinates, opening and closing dates, and business types, and then selected subsamples located within 500 m from the subway stations. To identify the causal relationship between a new transit line and the survival rates of small businesses, we adopted difference-in-differences models combined with the Cox proportional hazards regression model. Empirical results indicate that the opening of the subway network does not have a statistically significant impact on firms located near subway stations. However, heterogeneous effects were observed depending on the type of firm and its proximity to the stations. Coffee shops are one of the business types most likely to turn over near new subway stations. Results also show that the impact of opening the new transit line varies by business type and distance to the subway station. Specifically, among the businesses, restaurants within 250-500 m from the station have higher survival rates (12.72 %), while non-restaurants within 250 m from the station have lower survival rates (10.87 %) after the opening of the new subway line compared to those in control areas.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101519"},"PeriodicalIF":4.4,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271312","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":"Timeliness and fairness: The practical model of healthcare emergency logistics during the pandemic - A case of Taiwan","authors":"Yi-Fei Chuang, Chin-Wei Huang, Chia-Hung Hsieh","doi":"10.1016/j.rtbm.2025.101522","DOIUrl":"10.1016/j.rtbm.2025.101522","url":null,"abstract":"<div><div>This research explores the supply and delivery of medical masks in Taiwan during the COVID-19 pandemic in order to develop a practical model for the emergency logistics of epidemic prevention supplies. This model ensures both timeliness and fairness, meaning during the outbreak of the epidemic that all individuals received masks in a timely manner. Data for this study come from semi-structured interviews, supplemented by government publications and news reports. Based on the framework proposed herein, a practical model is developed through content analysis including coding and categorizing. The research results indicate that the key elements of the practical model include a legally-empowered Central Epidemic Command Center, logistical support from the state-owned postal company, sales through dense retail networks, the set-up of a real-name mask system, and multi-stakeholder collaboration across the public and private sectors. This paper offers a detailed account of the emergency supply and distribution processes for medical supplies during the epidemic. The findings give valuable insights for governments and help bridge the gap in the emergency logistics literature.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101522"},"PeriodicalIF":4.4,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271313","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}
Phil Justice Flores , Johan Jansson , Jonas Nilsson , Annika Nordlund , Kerstin Westin
{"title":"To own or share e-scooters? Factors in ownership and sharing of e-scooters","authors":"Phil Justice Flores , Johan Jansson , Jonas Nilsson , Annika Nordlund , Kerstin Westin","doi":"10.1016/j.rtbm.2025.101520","DOIUrl":"10.1016/j.rtbm.2025.101520","url":null,"abstract":"<div><div>This paper aims to determine how consumer innovativeness, susceptibility to interpersonal influence, personal norms, and innovation attribute perceptions affect the consumer decision to use, share, and own an e-scooter. The decision to use encompasses traveling using an e-scooter, sharing means using an e-scooter on a demand basis, and owning means buying an e-scooter for personal use. Consequently, this paper contributes to understanding novel mobility modes that aim to decrease the environmental problems in transport. It also develops knowledge about green innovations that could be perceived as causing more environmental problems than their traditional counterparts. A survey was conducted in Sweden with 1002 participants, who were non-users, owners, and sharers of e-scooters. Structural equation modelling showed that susceptibility to interpersonal influence and perceived safety attributes of e-scooters consistently positively influence decisions to use and own. This paper increases the understanding of factors influencing e-scooter use, sharing, and ownership, which is valuable for e-scooter businesses and service providers, transport agencies, and policy-makers.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"64 ","pages":"Article 101520"},"PeriodicalIF":4.4,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145227858","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}
Bhavani Shankar Balla , Aitichya Chandra , Sai Naveen Balla , Agnivesh Pani , Prasanta K. Sahu
{"title":"Industry Class Stability Index (ICSI): A novel diagnostic metric to enhance the transferability of freight demand models","authors":"Bhavani Shankar Balla , Aitichya Chandra , Sai Naveen Balla , Agnivesh Pani , Prasanta K. Sahu","doi":"10.1016/j.rtbm.2025.101513","DOIUrl":"10.1016/j.rtbm.2025.101513","url":null,"abstract":"<div><div>Reliable freight demand models are essential for planning and policy, yet their development often depends on costly establishment-level surveys that are difficult to replicate across regions. This study introduces the Industry Class Stability Index (ICSI), a novel diagnostic metric for assessing the homogeneity and transferability of data-driven industry classifications. A four-stage framework is proposed: (i) deriving industry classes using latent class analysis on shipper characteristics (fleet ownership, commodity value density, and business age cohort); (ii) evaluating similarity with ICSI; (iii) developing industry class-specific freight production models using robust regression; and (iv) assessing spatial transferability through mean absolute errors ratio (R). The framework is demonstrated with establishment-based freight survey data from North and Central Kerala, India. Results show that derived industry classes exhibit high similarity (ICSI >0.97) and that freight production models achieve near-perfect transferability (R ≈ 1). Medium-duty fleet ownership emerges as the most influential driver of industry class stability. From a managerial perspective, the framework enables cost-efficient surveys and model development, reducing redundancy in data collection while ensuring robust forecasting. In the longer term, it supports scalable and sustainable freight planning, policy continuity across regions, and greater efficiency in logistics systems.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"63 ","pages":"Article 101513"},"PeriodicalIF":4.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145219987","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}