Transportation Research Part A-Policy and Practice最新文献

{"title":"Towards understanding travel in the digital age: A cross-dimensional one-week diary of individual virtual and physical activities in Indonesian cities","authors":"","doi":"10.1016/j.tra.2024.104195","DOIUrl":"10.1016/j.tra.2024.104195","url":null,"abstract":"<div><p>The increasing prevalence of information and communication technology (ICT), particularly through smartphones, has profoundly shaped individuals’ daily schedules, making it an integral part of travel behaviour research. However, comprehensive data on daily virtual and physical activities as well as app usage behaviour remains limited. This paper describes the implementation of a survey to capture cross-dimensional weekly virtual-physical activities diary, including the details of travel, in-home, and out-of-home behaviour, extended smartphone app usage behaviour, and the psychological and perceived built environment factors affecting them. To our knowledge, this is the first attempt to expand the panel time-use survey to comprehensively capture daily smartphone app usage, the impact of such usage on travel, and their underlying behaviour (motivations and planned behaviour) in developing countries. Furthermore, it aims to demonstrate the possible usefulness of this dataset in assessing the impact of ICT on travel. The survey was deployed in Jakarta, Bandung, Denpasar, and Cianjur in Indonesia from May 2022 to January 2023. The protocol, mechanism, location, instrument, survey process, and preliminary data are described in the paper. Out of all respondents approached in all cities, 1,193 respondents over 18 years of age, or only 39 %, participated in the study. Respondents reported engaging in 23–32 activities daily and multitasking with average of 2–3 activities. The data collection process for this survey highlighted the importance of utilising both paper-and-pencil surveys and digital questionnaires, providing assistance and incentives, and maintaining open communication with respondents. This approach ensured successful data collection from individuals residing in different Indonesian cities, taking into account their diverse ICT qualities, education levels, and standards of living. Preliminary analysis shows that different combinations of travel and time use characteristics correlate with individuals’ sociodemographic profile and residential location but not all perceived built environment conditions and personality traits. Integrating information on virtual and physical activities into conventional time-use data provides a better understanding of daily activity participation. The result also shows that the impact of app usage on travel varies across sociodemographic groups and cities. Apps usage by senior workers tends to create varied effects, either creation or avoidance of travel. Residents of Jakarta, a megapolitan area that provides more opportunities and economic intensity, tend to use multiple apps to avoid taking trips and generating new activities. The result also demonstrates that leisure app usage has multiple effects on travel and that the generation of new activities is associated with spontaneous app usage decisions. These preliminary results and extensive variables collected in this study highlight opportunities for fut","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S096585642400243X/pdfft?md5=89504ada0073d3ced6b4a0b731fbb19c&pid=1-s2.0-S096585642400243X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141963025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Commuting mode choice and work from home in the later stages of COVID-19: Consolidating a future focussed prediction tool to inform transport and land use planning","authors":"","doi":"10.1016/j.tra.2024.104194","DOIUrl":"10.1016/j.tra.2024.104194","url":null,"abstract":"<div><p>As COVID-19 slowly dissipated after 30 months since March 2020, working from home (WFH) continues to be popular, with support from notable numbers of employees and employers. There is growing evidence that we have either reached, or appear to be close to, a level of WFH − to some extent − that might be described as an equilibrium outcome going forward. Hence, there is a need to update any travel behaviour response models that have been developed during the passage of the pandemic. This paper sets out a commuter model for each day of the week for the Greater Sydney Metropolitan Area as of September 2022; where the alternative responses are to not work, WFH, or commute by one of ten modes available. Given the probability of WFH obtained from a mixed logit model, we construct a mapping equation to establish the sources of statistical variance by origin and destination locations that influence the incidence of WFH. The evidence is used as the basis of commenting on what this means for longer-term structural changes in network performance, the likely move to a greater focus on living locally, and the need (or otherwise) for employers to retain office space. A significant return to the office has recently been promoted by some employers, and we comment on this as to what it might mean for the future of a hybrid working location model.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002428/pdfft?md5=37b44cd2b82c42fcb105959626fcd1b5&pid=1-s2.0-S0965856424002428-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141961399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Opening the moral machine’s cover: How algorithmic aversion shapes autonomous vehicle adoption","authors":"","doi":"10.1016/j.tra.2024.104193","DOIUrl":"10.1016/j.tra.2024.104193","url":null,"abstract":"<div><p>Autonomous driving technology has made its way into the market at various levels, yet fully autonomous vehicles remain unavailable. The psychological barriers that must be overcome before fully automated vehicles (AVs) become mainstream are numerous. In addition to technological advancements, persuading consumers to transition from the traditional human-driven model to AVs poses a significant challenge. According to the Moral Machine Experiment, Latin American countries form distinct sub-clusters and exhibit the highest preference for action in moral decision-making. To foster user acceptance of AVs in these countries, it is imperative to comprehend cognitive, affective, and ethical factors. To this end, we conducted experiments with respondents from Colombia to examine how varying levels of automation influence algorithm aversion and user acceptance. Algorithm aversion is explored from two perspectives: ethical judgment and behavior, and emergency evaluation and performance. Our findings reveal two key insights. Firstly, higher levels of automation negatively impact people’s assessment of the emergency evaluation capabilities of AVs, partially contributing to algorithm aversion. Secondly, the intention to use AVs is adversely affected by algorithm aversion, encompassing both ethical considerations and emergency performance-related aspects. Furthermore, mediation analysis demonstrates that perceived hedonism elucidates the inverse relationship between algorithm aversion and the intention to use AVs.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002416/pdfft?md5=16bce1577b7773f272a7b15da133621e&pid=1-s2.0-S0965856424002416-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141961400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do high-speed railways have an impact on population change? evidence from Japan","authors":"","doi":"10.1016/j.tra.2024.104187","DOIUrl":"10.1016/j.tra.2024.104187","url":null,"abstract":"<div><p>The Shinkansen high-speed railway (HSR) network in Japan has greatly improved the efficiency with which people can travel and relocate between different regions of Japan. The ease with which people can now reach different cities and regions has helped to increase the balance and diversity of Japan’s population distribution. This study empirically examined the relationship between HSRs and population change in the context of Japan’s ongoing population decline. Using panel data for the years 1995, 2000, 2005, 2010, and 2015, an empirical analysis was conducted using the econometric propensity score matching-difference-in-difference (PSM-DID) method and by creatively applying 1-km grid data. This information was used to quantify the causal effect of the Shinkansen’s opening and to determine whether it resulted in an increase or decrease in the population size of the areas around the Shinkansen stations, all while taking into account the heterogeneity of individual Shinkansen stations. Finally, we reached the following conclusions: (1) The opening of the Shinkansen stations has had a significant impact on population change, and has produced a siphoning effect; (2) the analysis of dynamic effects revealed that different stations have different levels of impact in terms of population change and growth effects; and (3) the Shinkansen stations do not strictly adhere to administrative boundaries in terms of the scope of their impact on population change; rather, they have an effect on a wider geographic space. Finally, we analyzed the benefits and problems associated with the population siphoning effect produced by the Shinkansen in terms of population concentration and population loss in different areas, respectively. It is hoped that this analysis can provide a reference point for planners interested in understanding the broader impacts of large-scale HSR developments, as well as for policymakers who are considering HSR development as a policy tool.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002350/pdfft?md5=6c719d9cf22d554097478760f2c52ad9&pid=1-s2.0-S0965856424002350-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141961398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the effects of ICT evolution and the COVID-19 pandemic on the spatio-temporal fragmentation of work activities","authors":"","doi":"10.1016/j.tra.2024.104192","DOIUrl":"10.1016/j.tra.2024.104192","url":null,"abstract":"<div><p>The evolution of information and communication technologies (ICTs) has transformed how, where, and when work activities are performed. Additionally, the work-from-home (WFH) culture has gained traction as a public health strategy to reduce the spread of the COVID-19 virus in the past years. Hence, ICTs and the COVID-19 pandemic might have influenced spatial and temporal fragmentation of activities (dismantlement into multiple subtasks and episodes) and changed activity-travel behaviour. In this context, this study investigates the effects of the ICT evolution along with the influence of the COVID-19 pandemic on the spatio-temporal fragmentation of work activities. Data from the American Time Use Survey from 2003 to 2020 is used to jointly estimate a multiple discrete–continuous probit and multivariate hurdle count model (MDCP-MC). Spatio-temporal fragmentation effects are evaluated considering work activities in three location categories: (1) workplace, (2) home, and (3) other places. Among the study’s main results, first, we observe that ICT evolution led to an increase in the spatial fragmentation of work, as time allocated to work activities in the workplace was transferred into WFH and work from other places. Second, during the COVID-19 pandemic, decreased spatial fragmentation was observed due to stay-at-home social distancing measures. However, temporal fragmentation of work was intensified during the pandemic, especially when individuals worked from home. Finally, workers are found to fragment work differently depending on their socio-demographic characteristics. Specifically, income levels are associated with spatial work fragmentation driven by ICTs, while COVID-19-induced temporal work fragmentation is influenced by occupations and employment characteristics.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002404/pdfft?md5=4b5144c69f1f4990b5aa9450df24d1d1&pid=1-s2.0-S0965856424002404-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141961401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human-Machine collaborative decision-making approach to scheduling customized buses with flexible departure times","authors":"","doi":"10.1016/j.tra.2024.104184","DOIUrl":"10.1016/j.tra.2024.104184","url":null,"abstract":"<div><p>Public transport agencies need to leverage on emerging technologies to remain competitive in a mobility landscape that is increasingly subject to disruptive mobility services ranging from ride-hailing to shared micro-mobility. Customized bus (CB) is an innovative transit system that provides advanced, personalized, and flexible demand-responsive transit service by using digital travel platforms. One of the challenging tasks in planning and operating a CB system is to efficiently and practically schedule a set of CB vehicles while meeting passengers’ personalized travel demand. Previous studies assume that CB passengers’ preferred pickup or delivery time is within a pre-defined hard time window, which is fixed and cannot change. However, some recent studies show that introducing soft flexible time windows can further reduce operational costs. Considering soft flexible time windows, this study first proposes a nearest neighbour-based passenger-to-vehicle assignment algorithm to assign CB passengers to vehicle trips and generate the required vehicle service trips. Then, a novel bi-objective integer programming model is proposed to optimize CB operation cost (measured by fleet size) and level of service (measured by passenger departure time deviation penalty cost). Model reformulations are conducted to make the bi-objective model solvable by using commercial optimization solvers, together with a deficit function-based graphical vehicle scheduling technique. A novel two-stage human–machine collaborative optimization methodology, which makes use of both machine intelligence and human intelligence to collaboratively solve the problem, is developed to generate more practical Pareto-optimal CB scheduling results. Computation results of a real-world CB system demonstrate the effectiveness and advantages of the proposed optimization model and solution methodology.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002325/pdfft?md5=20463408c3802abaea458a2e8d25b701&pid=1-s2.0-S0965856424002325-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141951144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bikesharing: The first- and last-mile service of public transportation? Evidence from an origin–destination perspective","authors":"","doi":"10.1016/j.tra.2024.104162","DOIUrl":"10.1016/j.tra.2024.104162","url":null,"abstract":"<div><p>Public bikesharing systems are expected to function as the first- and last-mile service of public transportation rather than an alternative means of public transportation. Compared to station-based analysis, this study attempted to investigate the key factors affecting the contribution of the first- and last-mile service of bikesharing to public transportation systems from an origin–destination pair perspective. To this end, first-mile transfer trips at the destination stations and the last-mile trips at the origin stations of bikesharing were modeled using bivariate Poisson and bivariate generalized Poisson models based on the bikesharing system in Taipei metropolitan. The estimation results revealed that the BGP model performed better than the BP model, and that the contribution of both the first- and last-mile bikesharing service to public transportation strengthened as a function of a decrease in the bikesharing riding distance, the direction of the bikesharing origin–destination pair heading to central business district, and a high student and employment population.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141951145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decoding the patterns of critical factor associations driving electric vehicle recommendations","authors":"","doi":"10.1016/j.tra.2024.104171","DOIUrl":"10.1016/j.tra.2024.104171","url":null,"abstract":"<div><p>This study aims to identify the patterns of key factor combinations that collectively influence consumers to recommend distinct Electric Vehicle (EV) types, namely hydrogen-powered Fuel Cell EVs (FCEVs) and Plug-in EVs (PEVs). To achieve this goal, we apply a non-parametric Association Rules Mining (ARM) approach which unearths latent relationships between different factors in large datasets for analysis. The study utilized the comprehensive 2019 EV user survey data from California, covering socio-economic and demographic characteristics, EV driving and charging habits, housing and parking options, the impact of incentives on EV purchase decisions, and willingness to recommend EVs, among other factors. The results revealed that individuals who find incentives important and experienced a reduced need for refuelling and waiting to refuel their EVs, as well as those who did not have to make special trips to refuel, were more likely to recommend FCEVs. Besides, the availability of home charging facilities and variable electricity rates highly influenced consumers to recommend PEVs. Also, individuals who frequently drove and had positive experiences with both EV types were highly likely to recommend them. Although FCEV users are concerned about station availability when travelling, and PEV users worry about the high cost of EVs, they are still willing to recommend them. The findings highlight critical factors that can enhance EV recommendations and increase adoption rates. Understanding these patterns enables policymakers and industry players to accelerate the transition to sustainable energy and mitigate climate change impacts.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141950356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How does social network mediate/moderate the effects of the built environment on travel behavior?","authors":"","doi":"10.1016/j.tra.2024.104175","DOIUrl":"10.1016/j.tra.2024.104175","url":null,"abstract":"<div><p>Extensive literature has well-documented the impacts of built and social environments on travel behavior. Recently, research attention has focused on the spatial, temporal, and socioeconomic heterogeneities of these impacts. This paper aims to contribute to this growing body of literature by studying the heterogeneity of travel behavior impacts of the built environment among individuals with different social networks. We argue that the built environment may influence travel behavior in different ways for individuals with varying social networks. Using data from a two-day activity-travel diary survey conducted in Shanghai in 2018, we examine how personal social networks mediate and moderate the relationships between the built environment and travel behavior. The modeling results show that personal social networks partially mediate and significantly moderate the effects of the built environment on travel behavior. This study contributes to both the literature on the built environment and travel behavior and that on social networks and travel behavior.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002234/pdfft?md5=7e3aadea4d98b330deeed86a7b6b3023&pid=1-s2.0-S0965856424002234-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141950355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Free public transport to the destination: A causal analysis of tourists’ travel mode choice","authors":"","doi":"10.1016/j.tra.2024.104166","DOIUrl":"10.1016/j.tra.2024.104166","url":null,"abstract":"<div><p>In this paper, we assess the impact of a fare-free public transport policy for overnight guests on travel mode choice to a Swiss tourism destination. The policy directly targets domestic transport to and from a destination, the substantial contributor to the CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions of overnight trips. Based on a survey sample, we identify the effect with the help of the random element that the information on the offer from a hotelier to the guest varies in day-to-day business. We estimate a shift from private cars to public transport due to the policy of, on average, 14.8 and 11.6 percentage points, depending on the application of propensity score matching and causal forest. This knowledge is relevant for policy-makers to design future public transport policies for tourists. Overall, our paper exemplifies how such an effect of natural experiments in the transport and tourism industry can be properly identified.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002143/pdfft?md5=ac4742b4107a7f3370f04d93d5dc6706&pid=1-s2.0-S0965856424002143-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141950354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}