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Sustainable mobility education through escape rooms: A gender perspective 通过密室逃生的可持续流动教育:性别视角
IF 4.6 3区 工程技术 Q1 ECONOMICS Pub Date : 2025-04-24 DOI: 10.1016/j.retrec.2025.101546
Silvia Sipone , Andrés Rodríguez , Maira Delgado-Lindeman , José Luis Moura
This study explores the gender dimension in sustainable mobility, focusing on how interactive technologies and gamification, particularly Escape Rooms (ER), can promote awareness and behavioural changes. Despite the literature on sustainable mobility and gender, few studies analyse the intersection of these topics with gamification techniques. This research addresses this gap by examining how gender differences and ER modalities (physical and digital) influence learning, motivation, and satisfaction in sustainable mobility education. The study involved 388 students aged 10–13 who participated in a physical or digital ER experience designed to teach sustainable mobility concepts. The methodology included developing ER narratives and challenges and administering pre- and post-activity questionnaires to assess real and perceived learning acquisition, motivation, and satisfaction. Data analysis was conducted using confirmatory factor analysis and variance analysis to evaluate the impact of gender and ER modality. The results indicate no significant gender differences in learning outcomes on sustainable mobility and satisfaction with the ER experience, suggesting that ERs can be equitable educational tools. However, physical ERs showed higher motivation levels among boys than girls, highlighting the need for inclusive design considerations. This research contributes to understanding how gamified educational experiences can be designed, analysing how a balanced incorporation of intrinsic and extrinsic motivational elements could maintain the motivation of all children. These findings support ERs as effective and inclusive tools to raise awareness and encourage fostering sustainable behaviours among young learners. However, some caution should be taken in the design of their elements.
本研究探讨了可持续交通的性别维度,重点关注互动技术和游戏化,特别是密室逃生(ER),如何促进意识和行为改变。尽管有关于可持续流动性和性别的文献,但很少有研究分析这些主题与游戏化技术的交集。本研究通过研究性别差异和ER模式(物理和数字)如何影响可持续流动教育中的学习、动机和满意度来解决这一差距。这项研究涉及388名年龄在10-13岁之间的学生,他们参加了旨在教授可持续移动概念的物理或数字急诊室体验。研究方法包括发展ER叙述和挑战,管理活动前和活动后的问卷,以评估真实的和感知的学习获得、动机和满意度。数据分析采用验证性因子分析和方差分析,评价性别和急诊方式的影响。结果显示,在可持续流动和对急诊室体验的满意度方面,学习结果没有显著的性别差异,这表明急诊室可以成为公平的教育工具。然而,物理急诊室在男孩中表现出比女孩更高的动机水平,突出了包容性设计考虑的必要性。这项研究有助于理解如何设计游戏化教育体验,分析如何平衡地结合内在和外在动机元素来维持所有儿童的动机。这些发现支持教育教育作为提高认识和鼓励培养青年学习者可持续行为的有效和包容性工具。然而,在其元素的设计中应该采取一些谨慎措施。
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引用次数: 0
Dynamic spillovers connectedness among carbon trading, shipping freight, bunker oil and crude oil market: Evidence from quantile-frequency analysis 碳交易、航运运费、燃油和原油市场的动态溢出关联:来自分位数频率分析的证据
IF 4.6 3区 工程技术 Q1 ECONOMICS Pub Date : 2025-04-21 DOI: 10.1016/j.retrec.2025.101544
Tanzila Yeasmin Nilu , Chuanxu Wang , Shek Ahmed
The energy-intensive maritime transport sector plays a crucial role in the global economy while significantly contributing to shipping-related emissions. Prior research has primarily focused on assessing the economic and environmental impacts of various legislative measures aimed at mitigating greenhouse gas (GHG) emissions in the maritime transport industry. However, limited attention has been given to the information spillover effects among carbon trading allowances, crude oil futures, bunker fuel markets, and their influence on the maritime freight sector. This study investigates the conditional spillover connectedness among carbon trading, crude oil, maritime freight, and bunker fuel markets by employing the time and frequency domain quantile connectedness method (QVAR). The findings reveal asymmetric spillover interactions under extreme market conditions, where individual markets exhibit stronger responses to negative shocks. Upon frequency connectedness spillover, short-term average TCI exhibits heightened spillover rather than medium and long-term spillovers. The negative shocks of bunker fuel, dry bulk and crude oil future market significantly influences container and tanker freight sector however vice versa characteristics is observed for the positive shocks. The carbon trading (EUA) market initially absorbs notable spillovers from other markets but becomes a significant transmitter of spillovers in the medium and long term. In contrast, the bunker fuel market demonstrates substantial spillover transmission over the medium and long term. Our analysis providing valuable insights for policymakers and industry stakeholders to align emissions reduction objectives considering spillover effects in maritime transport markets.
能源密集型海上运输部门在全球经济中发挥着至关重要的作用,同时也对航运相关的排放做出了重大贡献。先前的研究主要集中在评估旨在减少海运业温室气体排放的各种立法措施对经济和环境的影响。然而,对碳交易配额、原油期货、船用燃料市场之间的信息溢出效应及其对海运行业的影响关注有限。本文采用时域和频域分位连通性方法(QVAR)研究了碳交易、原油、海运和船用燃料市场之间的条件溢出连通性。研究结果揭示了极端市场条件下的非对称溢出相互作用,个别市场对负面冲击表现出更强的反应。在频率关联溢出效应下,短期平均TCI表现出较高的溢出效应,而中长期溢出效应不明显。燃油、干散货和原油期货市场的负面冲击显著影响集装箱和油轮运价,而正面冲击则相反。碳交易市场最初吸收了其他市场的显著溢出效应,但在中长期内成为溢出效应的重要传递者。相比之下,船用燃料市场在中长期内表现出可观的溢出效应。我们的分析为决策者和行业利益相关者提供了有价值的见解,以便在考虑海运市场溢出效应的情况下调整减排目标。
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引用次数: 0
The key role of motorized two-wheelers in boosting the earnings of on-demand delivery workers in Paris
IF 4.6 3区 工程技术 Q1 ECONOMICS Pub Date : 2025-04-14 DOI: 10.1016/j.retrec.2025.101545
Benjamin Motte-Baumvol , Laetitia Dablanc
In France, earnings from delivery workers involved in on-demand instant delivery are not well known. Using data from two waves of a survey conducted in Paris with instant delivery workers, this research presents the interactions between types of delivery gigs, operations and vehicles that lead to differences in income earned from delivery. The results show that the highest incomes are found among delivery workers with the longest service and who work for multiple delivery platforms. More importantly, using a motorized two-wheeler instead of a bicycle, e-bicycle, or scooter is key. It seems to be the best way to ensure a good level of earnings for on-demand instant delivery workers. However, there are legal and environmental dilemmas. Primarily, French law mandates that freelance delivery drivers obtain a specific license before utilizing mopeds for delivery purposes, a license that most of them do not have. Moreover, the energy consumption of mopeds is higher than that of bicycles and electric scooters by a factor of twenty, presenting significant environmental concerns.
在法国,从事按需即时配送的外卖员的收入并不为人所知。本研究利用在巴黎对即时配送员进行的两轮调查数据,介绍了导致配送收入差异的配送工作类型、业务和车辆之间的相互作用。结果显示,服务时间最长、为多个外卖平台工作的外卖员收入最高。更重要的是,使用机动两轮车而不是自行车、电动自行车或踏板车是关键。这似乎是确保按需即时配送员收入水平的最佳方式。不过,这也存在法律和环境方面的难题。首先,法国法律规定,自由送货司机在使用轻便摩托车送货前必须获得特定的执照,而大多数自由送货司机都没有这种执照。此外,轻便摩托车的能耗比自行车和电动滑板车高出 20 倍,带来了严重的环境问题。
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引用次数: 0
What factors influence Chinese Women's nighttime ride-hailing preferences? An ICLV model analysis 影响中国女性夜间打车偏好的因素有哪些?ICLV 模型分析
IF 4.6 3区 工程技术 Q1 ECONOMICS Pub Date : 2025-04-11 DOI: 10.1016/j.retrec.2025.101538
Ke Wang , Dongmin Yao , Mingyang Pei
With the rapid development of the ride-hailing industry and the rise of the nighttime economy, nighttime travel has become a new norm for urban residents in China. However, the security issues faced by women when using ride-hailing services at night have become increasingly prominent. Although existing studies have explored various factors influencing women's transportation mode choices, there remains a gap in research specifically addressing ride-hailing choices from a gender perspective. Furthermore, the factors influencing women's willingness to travel at night are still not sufficiently detailed or comprehensive, lacking an in-depth exploration of ride-hailing as a transportation option. To address these issues, this paper employs an integrated choice and latent variable model (ICLV) that combines discrete choice models and latent variable models, offering a multidimensional analysis of both the explicit factors and the latent psychological factors influencing women's decisions to utilize ride-hailing services at night. The study uses extensive survey data from a diverse group of women across different ages, professions, incomes, and living conditions to ensure comprehensive and representative data. The results indicate that factors such as marital status, car ownership, and living conditions significantly affect women's travel decisions. High-income women and those in specific occupations exhibit a greater propensity to choose ride-hailing services, highlighting the impact of income and social status on travel mode choices. Notably, younger women display heightened sensitivity to psychological factors, such as perceived risk, pleasure, and security, in their nighttime ride-hailing choices. This research enhances understanding of gender differences in ride-hailing and emphasizes the need to improve security, driver quality, and regulations. It provides insights for ride-hailing platforms and transportation authorities to develop better strategies for women's nighttime travel, supporting the sustainable development of the ride-hailing industry, and promoting gender equality and women's mobility.
随着打车行业的快速发展和夜间经济的兴起,夜间出行已成为中国城市居民的新常态。然而,女性在夜间使用叫车服务时面临的安全问题也日益突出。尽管已有研究探讨了影响女性交通方式选择的各种因素,但专门从性别视角探讨打车服务选择的研究仍是空白。此外,影响女性夜间出行意愿的因素还不够详细和全面,缺乏对打车这一交通方式的深入探讨。为了解决这些问题,本文采用了离散选择模型和潜在变量模型相结合的综合选择和潜在变量模型(ICLV),对影响女性夜间使用打车服务决策的显性因素和潜在心理因素进行了多维分析。研究使用了大量调查数据,这些数据来自不同年龄、职业、收入和生活条件的女性群体,以确保数据的全面性和代表性。结果表明,婚姻状况、汽车拥有量和生活条件等因素对女性的出行决策有很大影响。高收入女性和从事特殊职业的女性更倾向于选择打车服务,这凸显了收入和社会地位对出行方式选择的影响。值得注意的是,年轻女性在夜间选择打车服务时,对心理因素(如感知风险、愉悦和安全)的敏感度更高。这项研究加深了人们对打车服务中性别差异的理解,并强调了提高安全性、司机素质和监管的必要性。它为打车平台和交通管理部门提供了见解,以制定更好的女性夜间出行策略,支持打车行业的可持续发展,促进性别平等和女性出行。
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引用次数: 0
Toward carbon reduction in electric vehicle products: Evidence from China's recommended catalogue policy
IF 4.6 3区 工程技术 Q1 ECONOMICS Pub Date : 2025-04-10 DOI: 10.1016/j.retrec.2025.101543
Qian Cheng , Yongqing Xiong , Jiaqi Qin
Electric vehicles (EVs) are widely believed to be the most promising solution to reduce carbon emissions in the transportation sector. In China, entering the recommended catalogue is the basis for vehicle manufacturers and EV models to obtain market qualification and government subsidies. Based on the monthly data of China's recommended catalogue from January 2017 to December 2022, this study analyzes the impact of the recommended catalogue policy on carbon emissions of EVs at the micro-product level. We find that the recommended catalogue policy significantly reduces carbon emissions of EV products. Mechanism analysis indicates that this policy achieves carbon reduction in EV products by promoting sales growth, stimulating industry competition, and incentivizing technological innovation. Heterogeneity analysis shows that the recommended catalogue policy reduces carbon emissions of electric sedans, while the effect on SUV/MPV models is insignificant. The carbon reduction effect of this policy is only effective for EVs produced by non-state-owned enterprises, whereas no such effect is observed for state-owned enterprises. Further discussion reveals that the recommended catalogue policy and the dual credit policy play a synergistic role in reducing carbon emissions of EV products. The findings provide policy implications for the low-carbon development of EVs in the transportation sector.
人们普遍认为,电动汽车(EV)是交通领域减少碳排放的最有前途的解决方案。在中国,进入推荐目录是汽车制造商和电动汽车车型获得市场资格和政府补贴的基础。本研究基于 2017 年 1 月至 2022 年 12 月中国推荐目录的月度数据,从微观产品层面分析了推荐目录政策对电动汽车碳排放的影响。我们发现,推荐目录政策显著降低了电动汽车产品的碳排放。机制分析表明,该政策通过促进销售增长、刺激行业竞争和激励技术创新来实现电动汽车产品的碳减排。异质性分析表明,推荐目录政策减少了电动轿车的碳排放,而对 SUV/MPV 车型的影响不明显。该政策的减碳效果只对非国有企业生产的电动汽车有效,而对国有企业则没有效果。进一步的讨论表明,推荐目录政策和双重信贷政策在减少电动汽车产品碳排放方面发挥了协同作用。研究结果为交通领域电动汽车的低碳发展提供了政策启示。
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引用次数: 0
Piloting a joint delivery system of droids and cargo bikes at the JRC Ispra campus: A service design approach
IF 4.6 3区 工程技术 Q1 ECONOMICS Pub Date : 2025-04-08 DOI: 10.1016/j.retrec.2025.101541
Ioannis Karakikes , Athena Tsirimpa , Federico Moro , Vaike Fors , Amalia Polydoropoulou
In recent years, the levels of e-commerce in the modern commercial environment have significantly increased, necessitating the adoption of measures and policies capable of complementing each other to achieve a sustainable urban freight transport system. Beyond traditional approaches, a new array of automation-based technologies has been developed offering dynamic, and reliable solutions. This research designs a next-generation multimodal last-mile delivery system of lunch boxes at the JRC campus, in Ispra, Italy, based on a service design approach that embraces three dimensions of engagement in participatory design for sustainable change; scoping, developing and scaling. Analytically, the “scoping” phase focuses on establishing and operating a living lab as a platform for co-design, fostering dialogue, shared understanding, and iterative learning among stakeholders. The “developing” phase involves mapping the service through user journeys and service blueprints while integrating digital practices. The “scaling” phase focuses on co-developing cooperative business models that generate value, manage resources effectively, and foster sustainable, community-driven networks. The pilot demonstrated significant operational improvements (droids navigated 77 % autonomously and sender waiting time averaged 5.17 % of the total journey), while 90 % of users rate the service as satisfactory or very satisfactory. However, the financial viability remains highly dependent on sponsorships and grants.
{"title":"Piloting a joint delivery system of droids and cargo bikes at the JRC Ispra campus: A service design approach","authors":"Ioannis Karakikes ,&nbsp;Athena Tsirimpa ,&nbsp;Federico Moro ,&nbsp;Vaike Fors ,&nbsp;Amalia Polydoropoulou","doi":"10.1016/j.retrec.2025.101541","DOIUrl":"10.1016/j.retrec.2025.101541","url":null,"abstract":"<div><div>In recent years, the levels of e-commerce in the modern commercial environment have significantly increased, necessitating the adoption of measures and policies capable of complementing each other to achieve a sustainable urban freight transport system. Beyond traditional approaches, a new array of automation-based technologies has been developed offering dynamic, and reliable solutions. This research designs a next-generation multimodal last-mile delivery system of lunch boxes at the JRC campus, in Ispra, Italy, based on a service design approach that embraces three dimensions of engagement in participatory design for sustainable change; scoping, developing and scaling. Analytically, the “scoping” phase focuses on establishing and operating a living lab as a platform for co-design, fostering dialogue, shared understanding, and iterative learning among stakeholders. The “developing” phase involves mapping the service through user journeys and service blueprints while integrating digital practices. The “scaling” phase focuses on co-developing cooperative business models that generate value, manage resources effectively, and foster sustainable, community-driven networks. The pilot demonstrated significant operational improvements (droids navigated 77 % autonomously and sender waiting time averaged 5.17 % of the total journey), while 90 % of users rate the service as satisfactory or very satisfactory. However, the financial viability remains highly dependent on sponsorships and grants.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"110 ","pages":"Article 101541"},"PeriodicalIF":4.6,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143790825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Transport emissions, carbon taxes, and modal choice 交通排放、碳税和模式选择
IF 4.6 3区 工程技术 Q1 ECONOMICS Pub Date : 2025-04-07 DOI: 10.1016/j.retrec.2025.101542
Misak Avetisyan , Wesley W. Wilson
Transportation is one of the major sources of anthropogenic emissions. Yet most environmental regulations target production emissions rather than transportation emissions. Within the transport sector, there are considerable differences in emissions intensities across modes. In this paper, we develop and estimate a multinomial logit model of consumer mode choices for non-local travel using the 2017 Household Travel Survey to consider the impacts of carbon taxes on mode choices and emissions. The model is specified as a function of trip cost, travel distance, and a variety of household characteristics. The estimates are then used to calculate the impacts of incremental carbon taxes from none to $150/tCO2 on both modal choices and emissions. We find that there are mode shifts to more fuel-efficient modes along with reductions in emissions as taxes increase. We also find almost linear relationship between carbon prices and abatement of non-local transport emissions with the largest reduction observed under $150/tCO2.
交通运输是人为排放的主要来源之一。然而,大多数环境法规针对的是生产排放,而不是运输排放。在运输部门,不同模式的排放强度存在相当大的差异。本文利用2017年家庭旅游调查数据,建立并估计了非本地旅游消费者模式选择的多项logit模型,以考虑碳税对模式选择和排放的影响。该模型被指定为出行成本、出行距离和各种家庭特征的函数。然后,这些估计被用来计算从零到150美元/吨二氧化碳的增量碳税对模式选择和排放的影响。我们发现,随着税收的增加,人们开始转向更省油的模式,同时排放量也在减少。我们还发现,碳价格与非本地运输排放的减少之间存在几乎线性的关系,在150美元/吨二氧化碳下观察到最大的减少。
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引用次数: 0
Urban freight activity implications from emerging food industry establishments in an on-demand economy: Evidence from India 按需经济中新兴食品工业企业对城市货运活动的影响:印度的证据
IF 4.6 3区 工程技术 Q1 ECONOMICS Pub Date : 2025-04-05 DOI: 10.1016/j.retrec.2025.101540
Suprava Mishra , Agnivesh Pani , Ivan Sanchez-Diaz , Heleen Buldeo Rai
Urban freight activity generated by the food industry has received surprisingly little research attention despite the unprecedented changes in food ordering behavior because of the advancement of technology. Not only did more consumers take advantage of the options offered online, but it also resulted in the diversification of the food industry into three establishment types: (i) in-person dining restaurants, (ii) hybrid restaurants, and (iii) dark kitchens. While the traditional in-person dining restaurants continue to be major freight trip generators, the emergence of tight-knit networks of small, delivery-only establishments called ‘dark kitchens’ have magnified the overall freight impacts from the food industry. This study attempts to contribute to this emerging research gap in urban freight research by conducting a freight survey in Delhi (India) targeting the above-mentioned food industry establishments to compare and contrast the evolving freight traffic impact generated by hybrid restaurants/dark kitchens relative to the traditional in-person dining restaurants. The freight generation (FTA/FTP) was quantified in this study using a host of models, such as the multivariate ordered probit model, zero-inflated negative binomial model, and hierarchical tree-based regression. Novel explanatory variables such as night-time light and cost of dining are explored for developing actionable, sustainable city logistics policies aimed at regulating delivery at pick-up traffic related to emerging urban freight generators.
{"title":"Urban freight activity implications from emerging food industry establishments in an on-demand economy: Evidence from India","authors":"Suprava Mishra ,&nbsp;Agnivesh Pani ,&nbsp;Ivan Sanchez-Diaz ,&nbsp;Heleen Buldeo Rai","doi":"10.1016/j.retrec.2025.101540","DOIUrl":"10.1016/j.retrec.2025.101540","url":null,"abstract":"<div><div>Urban freight activity generated by the food industry has received surprisingly little research attention despite the unprecedented changes in food ordering behavior because of the advancement of technology. Not only did more consumers take advantage of the options offered online, but it also resulted in the diversification of the food industry into three establishment types: (i) in-person dining restaurants, (ii) hybrid restaurants, and (iii) dark kitchens. While the traditional in-person dining restaurants continue to be major freight trip generators, the emergence of tight-knit networks of small, delivery-only establishments called ‘dark kitchens’ have magnified the overall freight impacts from the food industry. This study attempts to contribute to this emerging research gap in urban freight research by conducting a freight survey in Delhi (India) targeting the above-mentioned food industry establishments to compare and contrast the evolving freight traffic impact generated by hybrid restaurants/dark kitchens relative to the traditional in-person dining restaurants. The freight generation (FTA/FTP) was quantified in this study using a host of models, such as the multivariate ordered probit model, zero-inflated negative binomial model, and hierarchical tree-based regression. Novel explanatory variables such as night-time light and cost of dining are explored for developing actionable, sustainable city logistics policies aimed at regulating delivery at pick-up traffic related to emerging urban freight generators.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"110 ","pages":"Article 101540"},"PeriodicalIF":4.6,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783151","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}
引用次数: 0
Enhanced navigational insights and their impact on driver route choice: A hybrid utility-regret analysis with heterogeneity
IF 4.6 3区 工程技术 Q1 ECONOMICS Pub Date : 2025-04-03 DOI: 10.1016/j.retrec.2025.101539
Wenhao Li , Qinhe An , Yanjie Ji
Active Traffic Management systems provide traffic information to drivers, guiding their route selections to help ease congestion. Given the high reliance of most drivers on navigation, the effectiveness of how this information is displayed is crucial. This study considers the timing of information dissemination and display format attributes and explores the interaction effects between individual characteristics and travel traits. A survey involving 831 participants, consisting of Revealed Preference and Stated Preference data, is conducted in Nanjing, China. Using a mixed latent class model, the population is categorized into different classes based on their decision-making rules, while incorporating unobserved heterogeneity within segment-level models. We consider both Random Utility and Random Regret theories. Our study reveals that there are significant differences in route choice behavior influenced by demographic factors, with younger, higher-income, and frequent drivers favoring utility-maximizing decisions, and older, lower-income individuals opting for choices that minimize regret. Variations in adherence are observed when information is presented before, during, or towards the end of the journey. Excessively complex information may increase decision-making pressure on drivers. The parameter estimations are also conducted trade-off analysis across various exogenous variables. The findings inform the improvement of navigation applications, personalized route recommendations, and congestion pricing.
{"title":"Enhanced navigational insights and their impact on driver route choice: A hybrid utility-regret analysis with heterogeneity","authors":"Wenhao Li ,&nbsp;Qinhe An ,&nbsp;Yanjie Ji","doi":"10.1016/j.retrec.2025.101539","DOIUrl":"10.1016/j.retrec.2025.101539","url":null,"abstract":"<div><div>Active Traffic Management systems provide traffic information to drivers, guiding their route selections to help ease congestion. Given the high reliance of most drivers on navigation, the effectiveness of how this information is displayed is crucial. This study considers the timing of information dissemination and display format attributes and explores the interaction effects between individual characteristics and travel traits. A survey involving 831 participants, consisting of Revealed Preference and Stated Preference data, is conducted in Nanjing, China. Using a mixed latent class model, the population is categorized into different classes based on their decision-making rules, while incorporating unobserved heterogeneity within segment-level models. We consider both Random Utility and Random Regret theories. Our study reveals that there are significant differences in route choice behavior influenced by demographic factors, with younger, higher-income, and frequent drivers favoring utility-maximizing decisions, and older, lower-income individuals opting for choices that minimize regret. Variations in adherence are observed when information is presented before, during, or towards the end of the journey. Excessively complex information may increase decision-making pressure on drivers. The parameter estimations are also conducted trade-off analysis across various exogenous variables. The findings inform the improvement of navigation applications, personalized route recommendations, and congestion pricing.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"110 ","pages":"Article 101539"},"PeriodicalIF":4.6,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759745","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}
引用次数: 0
The impact of the cost-of-living crisis on travel choices: The case of Scotland
IF 4.6 3区 工程技术 Q1 ECONOMICS Pub Date : 2025-03-27 DOI: 10.1016/j.retrec.2025.101537
Grigorios Fountas , Achille Fonzone , Adebola Olowosegun
This study aims to identify the impact of the cost-of-living crisis on travel choices of Scottish residents. Specifically, we examine possible changes in two dimensions of travel behavior: (i) mode choice; and (ii) number of trips. Using recent data (N = 2705) from the Public Attitudes Survey (PAS) of Transport Scotland, extensive statistical modeling was conducted in order to identify which population segments are more likely to change their travel mode and reduce the number of trips they make in response to the ongoing crisis. To control for possible unobserved heterogeneity effects that may underpin these two behavioural dimensions, the Bivariate Ordered Probit (BOP) framework was employed enabling the joint modeling of these two dimensions. The survey data showed that 26.1% of the respondents changed their typical mode of travel as a means to save money, and almost 28% of the respondents have exhibited a propensity to reduce their number of trips due to rising travel costs. The results of the BOP model showed that low-income households and ethnic minorities are among the most severely affected population segments, as they are more likely to change their travel mode and reduce their amount of travel. Women, people with health issues or disabilities, millennials, and residents in rural areas of Scotland also show evidence of behavioral change in light of the cost-of-living crisis. The findings of this study highlight major inequalities in transport accessibility, which will continue to deepen and result in higher levels of transport poverty, as the cost-of-living crisis unfolds, and appropriate remedial measures are not taken by legislative and governmental Authorities.
{"title":"The impact of the cost-of-living crisis on travel choices: The case of Scotland","authors":"Grigorios Fountas ,&nbsp;Achille Fonzone ,&nbsp;Adebola Olowosegun","doi":"10.1016/j.retrec.2025.101537","DOIUrl":"10.1016/j.retrec.2025.101537","url":null,"abstract":"<div><div>This study aims to identify the impact of the cost-of-living crisis on travel choices of Scottish residents. Specifically, we examine possible changes in two dimensions of travel behavior: (i) mode choice; and (ii) number of trips. Using recent data (N = 2705) from the Public Attitudes Survey (PAS) of Transport Scotland, extensive statistical modeling was conducted in order to identify which population segments are more likely to change their travel mode and reduce the number of trips they make in response to the ongoing crisis. To control for possible unobserved heterogeneity effects that may underpin these two behavioural dimensions, the Bivariate Ordered Probit (BOP) framework was employed enabling the joint modeling of these two dimensions. The survey data showed that 26.1% of the respondents changed their typical mode of travel as a means to save money, and almost 28% of the respondents have exhibited a propensity to reduce their number of trips due to rising travel costs. The results of the BOP model showed that low-income households and ethnic minorities are among the most severely affected population segments, as they are more likely to change their travel mode and reduce their amount of travel. Women, people with health issues or disabilities, millennials, and residents in rural areas of Scotland also show evidence of behavioral change in light of the cost-of-living crisis. The findings of this study highlight major inequalities in transport accessibility, which will continue to deepen and result in higher levels of transport poverty, as the cost-of-living crisis unfolds, and appropriate remedial measures are not taken by legislative and governmental Authorities.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"110 ","pages":"Article 101537"},"PeriodicalIF":4.6,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Research in Transportation Economics
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