{"title":"Assessing travelers’ preferences for online bus-hailing service across various travel distances: Insights from Chinese metropolitan areas","authors":"","doi":"10.1016/j.tra.2024.104159","DOIUrl":"10.1016/j.tra.2024.104159","url":null,"abstract":"<div><p>This study conducts a stated preference survey to assess travelers’ preferences for online bus-hailing service across various travel distances in Chinese metropolitan areas. By collecting personal attributes, travel characteristics, and scenario variables (including fares, walking distance, waiting time, and travel time for various ground transportation services), we develop a travel mode choice model based on XGBoost and examine the positive and negative effects and elasticity of different influencing factors. Empirical results demonstrate that the XGBoost-based travel mode choice model performs best in predictive accuracy, proving its superior fitting capability. Meanwhile, travel distance is pivotal in determining travelers’ preferences. Short-distance travelers prioritize time efficiency, whereas as travel distance increases, travelers become less sensitive to time, and fares become the primary consideration. This shift provides service operators with opportunities to implement differentiated strategies. The remaining travel modes also significantly influence choice preferences, with travelers critically concerned about the time cost of regular bus service and highly sensitive to taxi/car-hailing service fares. Personal attributes and travel characteristics, such as gender, age, and the number of companions, also impact choice preferences, providing opportunities for service operators to offer personalized services. Elasticity analysis further confirms the role of each influencing factor in increasing the attractiveness of choosing online bus-hailing service. Ultimately, we derive significant insights at the planning level, including single-factor optimization and prioritizing optimization for different dual-factor combinations. These insights serve as a basis for urban managers to formulate and enhance online bus-hailing service, covering aspects such as fare incentive policies and route service frequencies.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141729659","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":"Are consumers ready to pay extra for crowd-shipping e-groceries and why? A hybrid choice analysis for developing economies","authors":"","doi":"10.1016/j.tra.2024.104177","DOIUrl":"10.1016/j.tra.2024.104177","url":null,"abstract":"<div><p>This paper presents the results of a behavioral study on consumers’ willingness-to-pay the extra for e-grocery deliveries based on crowd-shipping. The proposed methodology was tested for Ukraine, i.e., a developing country where the crowd-shipping services are under development conditions. The choice model was enhanced with two latent variables to account for the behavior complexity of the consumers who have not faced crowd-shipping services in the past. These variables were extracted through factor analysis to encompass pro-crowd-shipping and pro-commercial carrier attributes. The willingness-to-pay for e-grocery deliveries based on crowd-shipping and commercial carriers was estimated using hybrid choice modeling results. The findings indicate more than two times higher willingness-to-pay for saving delivery time for crowd-shipping compared to commercial carrier services. Discrete choice analysis of consumer-related attributes identified males with cons-crowd-shipping attitudes. Age-wise, consumers younger than 30 years exhibited pro-crowd-shipping behavior. The direct and cross elasticities have been estimated to evaluate the impacts of variation in service-specific attributes on the consumer’s behavior within e-groceries scope.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002258/pdfft?md5=acb76d4ab3c7aada00deab37e9410c73&pid=1-s2.0-S0965856424002258-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141729662","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":"Navigating acceptance and controversy of transport policies","authors":"","doi":"10.1016/j.tra.2024.104176","DOIUrl":"10.1016/j.tra.2024.104176","url":null,"abstract":"<div><p>The current study contributes to the literature by exploring the acceptance and controversy surrounding different transport policies, examining how public preferences/attitudes explain these dispositions in the context of transitions towards more sustainable transport systems. A random and representative Norwegian-population-based sample (n = 1002) was used for the analysis purpose. A two-fold approach is employed. A principal component analysis is performed first to determine which transport policies (20 policies) are homogeneously evaluated. Secondly, a latent class analysis is used to classify unobserved subgroups of people and distinguish classes of acceptance/controversy patterns. We identify three distinct components of public evaluations of transport policies: “traditional pull policies” focusing on non-restrictive strategies such as incentives for public transport; “car-based push policies” focusing on actively limiting car use; and “emerging policies” focusing on innovative technologies such as electrification and automation. The latent class analysis uncovers six distinct classes, illustrating a spectrum of preferences and attitudes. These classes encompass individuals ranging from strong opposition and neutrality to strong support for various policy types. A highly environmentally conscious class, characterized by higher education levels, strongly supports diverse transport policies, including push and emerging measures, showcasing a commitment to sustainability and readiness for personal sacrifices. However, challenges arise from a class that strongly opposes all types of policies, including traditional pull measures. This class exhibits robust expectations and concerns about policy (features) impacts such as clarity, effectiveness, and fairness, and it is skewed towards a higher proportion of men, with relatively older members. Moreover, they have concerns that such policies might cause adverse consequences for them, such as additional travel time and reduced social interactions. In conclusion, the diverse patterns identified within the population highlight the need for a comprehensive approach to developing transport policies. For the transition towards more sustainable transport systems, the findings show potential for more radical transport policies compared to today’s policy landscape.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002246/pdfft?md5=3456e356d292df8b9023f2ff373a70f1&pid=1-s2.0-S0965856424002246-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141729660","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":"Evaluation system for urban traffic intelligence based on travel experiences: A sentiment analysis approach","authors":"","doi":"10.1016/j.tra.2024.104170","DOIUrl":"10.1016/j.tra.2024.104170","url":null,"abstract":"<div><p>Precise and comprehensive evaluation of urban traffic intelligence plays a vital role in the development of intelligent transportation systems. However, the majority of existing evaluation methods primarily rely on physical measurements, thereby overlooking the travel experiences of traffic participants. This results in a significant discrepancy between the expected outcomes of transportation design and the actual perceived travel experiences. Therefore, this study proposes a data-driven evaluation system for urban traffic intelligence based on travel experiences. In particular, the travel experiences of the public are extracted from social media data and evaluated by a sentiment analysis approach. Firstly, an indicator library is established through literature research, and it is further enhanced by a survey to ensure its comprehensiveness. After that, the text data scraped from social media posts is classified into the corresponding indicators via a pre-trained language model. We then employ a lexicon-based model to conduct sentiment analysis on the classified text data. Specifically, the lexicon-based model can not only identify the polarity of the text data but also determine the intensity of the sentiment expressed. To address the imbalanced distribution of social media data, we employ the oversampling technique to correct the data skewness. The proposed method is tested in Shanghai, China, and the results demonstrate consistency with those obtained from the analytic hierarchy process with survey data. Furthermore, the sentiment analysis approach exhibits stable performance even when provided with a limited amount of input data. The evaluation results indicate that the information accessibility and flexibility of urban transportation in Shanghai are satisfactory. However, there is a need for further improvement in the areas of safety, comfort, and affordability based on the analysis of travel experiences.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141729661","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":"The effects of participating in digital ride-hailing on taxi drivers’ business operations","authors":"","doi":"10.1016/j.tra.2024.104167","DOIUrl":"10.1016/j.tra.2024.104167","url":null,"abstract":"<div><p>The advent of the digital ride-hailing business model has disrupted the for-hire ride service industry. After the progressive protests from traditional taxi drivers, many countries have imposed strict regulations on the operation of digital ride-hailing. This paper provides the first evidence that, by allowing for dynamic pricing, regulating digital ride-hailing services to comply with the safety and licensing requirements akin to those applied to traditional taxi services can further improve the welfare of taxi drivers. Using nationally representative survey data of taxi drivers in Taiwan and analytical strategies that address the nonrandom selection issue, we quantify the impact of a government-mandated digital ride-sharing system known as the “Multipurpose Taxi Program” on for-hire drivers’ business operation and performance. We find that participation in this program increases drivers’ profits by at least 11 %, which can be attributed to both better driver-rider matching efficiency and the dynamic pricing scheme offered by digital ride-hailing. In addition, the program leads to better protection for customers. Participating in the program makes drivers are more likely to purchase passenger insurance by at least 44 %. We further point out that the effect of the program is heterogeneous in that this program decreases the profits of taxi drivers who primarily rely on radio or phone dispatches, but not street searching.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141729678","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":"The dynamic role of subsidies in promoting global electric vehicle sales","authors":"","doi":"10.1016/j.tra.2024.104173","DOIUrl":"10.1016/j.tra.2024.104173","url":null,"abstract":"<div><p>We offer the most comprehensive analysis to date of global plug-in electric vehicle (PEV) subsidies, a key part of countries’ strategies to reduce transport carbon emissions and meet Paris Agreement goals. We accomplish this by estimating vehicle choice models for 23 countries using 2010–2019 sales data and using counterfactual simulations to assess the cost-effectiveness of PEV incentives. We also provide the first-ever analysis of medium-run effects, finding that subsidies increase sales not only in the year they are offered, but also in subsequent years. Incentive policies are expensive, costing between $14,857 and $62,443 per additional PEV sold ($11-$36 per additional gallon of gasoline avoided, or upwards of $1,212 per avoided metric ton of carbon dioxide). However, when factoring in medium-run effects, most countries’ cost-effectiveness improves substantially. Cost-effectiveness of PEV subsidies has generally been flat to improving over the last decade, suggesting subsidies, though expensive, remain an important driver of PEV adoption.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002210/pdfft?md5=358e604460126c58e349b63fc0660979&pid=1-s2.0-S0965856424002210-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141638874","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":"What to do with commuting time when driving autonomous vehicles? Results of a stated intention experiment","authors":"","doi":"10.1016/j.tra.2024.104165","DOIUrl":"10.1016/j.tra.2024.104165","url":null,"abstract":"<div><p>Rapid improvements in autonomous driving technology and the availability of autonomous vehicles (AVs) are expected to change people’s habitual travel patterns. Fully autonomous vehicles (FAVs) do not need to be maneuvered by their users, implying users are allowed to participate in a number of non-driving in-vehicle activities (IVAs) when their FAV is bringing them to their destination. People can therefore use their travel time for working, relaxation, entertainment, communication and possibly other activities. Since FAVs provide a different environment than traditional travel modes, such as trains and busses, people’s preferences for conducting IVAs in FAV travel has become an emerging issue in transportation research. Understanding people’s preferences for conducting IVAs during FAV travel will generate important information for future vehicle interior design and the development of transportation policies. Hence, this paper presents the outcomes of a research study that aims at increasing our understanding of the intentions of individuals to conduct IVAs when travelling by FAV’s and the endogenous and exogenous factors and variables influencing these intentions. We designed an experiment and analyzed the response data using simultaneous equation modeling to examine the intentions to conduct IVAs during FAV travel and potential correlations that may exist across IVAs. The results show significant heterogeneity in IVA intentions and correlations between IVAs. Youngsters, high-education-level groups, and employed show a higher intention to engage in most IVAs. In addition, gender, household income, motion sickness, and license ownership affect people’s intentions. The estimated results suggest that the intentions to conduct IVAs depend on trip length. Moreover, the potential correlation between IVAs is confirmed. For example, respondents who have intentions to conduct to sleep show interest in eating or drinking and play games, but are not inclined to work with a computer. In contrast, respondents who intend to use social media during FAV travel are less likely to sleep when travelling by FAV.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141637902","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":"Profiling future passenger transport initiatives to identify the growing role of active and micro-mobility modes","authors":"","doi":"10.1016/j.tra.2024.104172","DOIUrl":"10.1016/j.tra.2024.104172","url":null,"abstract":"<div><p>There is growing interest in recognising the role that active and micro-mobility modes play in the full suite of modal-based activities. While the idea of the ’next normal’ since the heady days of COVID-19 remains unclear, there are signs that living locally and the impact of increased working from home, has generated greater interest in active travel and micro-mobility for local trips, but also as ways to access and/or egress modes for longer trips. A new travel and mobility survey has been designed in which revealed and stated preference data are collected to identify current and future interest in using motorised and non-motorised modes in a typical week. It considers mode use for all stages of a door-to-door journey in an extensive number of trip profiles. Trip frequency over a 7-day week is much more informative than the more traditional choice of a mode survey approach for a typical day. We estimate a series of negative binomial models on the stated preference (SP) scenario data to gain an understanding of the role that active and micro-mobility modes play as access, egress, and linehaul modes in an origin–destination trip. The descriptive profiles and estimated models provide a way to identify and hence focus the treatment of active and micro-mobility modes in government policy settings designed to support the move to more sustainable modes for all local passenger trips. The modes showing the most potential from the SP inquiry include EV car driver, car passenger, walk and E-bike/E-Scooter, if external conditions allow (i.e., similar to SP scenarios when external restrictions are removed). This growing interest in non-public transport opportunities looks like adding challenges to growing public transport patronage.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002209/pdfft?md5=ba5cfe9226ee8b295fb5d4edd5482cfd&pid=1-s2.0-S0965856424002209-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141638871","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":"License to drive: State driver’s licensing laws and the travel of unauthorized immigrants","authors":"","doi":"10.1016/j.tra.2024.104163","DOIUrl":"10.1016/j.tra.2024.104163","url":null,"abstract":"<div><p>Since 1993, eighteen states and the District of Columbia have adopted laws allowing unauthorized immigrants to acquire driver’s licenses. California is one of these states, passing the Safe and Responsible Drive Act (AB 60) in 2013. In this paper, we examine the relationship between the adoption of state driver’s licensing laws and the commute mode of unauthorized immigrants. We focus specifically on the proportion of unauthorized Latin American immigrants in California who commute by car, drive alone to work, and commute by public transit, testing a number of model specifications and proxies for identifying undocumented immigrant residents. We find that the implementation of AB 60 was associated with a 2.0 percentage-point increase in car commuting and a 4.2 percentage-point increase in driving to work alone by unauthorized immigrants. Results also show a 1.4 percentage-point decline in the rate of commuting by public transit after AB 60′s implementation. This drop in transit use, however, was less statistically robust than findings regarding car commuting.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141638872","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":"Pedestrian crossings: Design recommendations do not reflect users’ experiences in a car-dominated environment in Auckland, New Zealand","authors":"","doi":"10.1016/j.tra.2024.104169","DOIUrl":"10.1016/j.tra.2024.104169","url":null,"abstract":"<div><p>Pedestrian crossings are a staple of city design and a key feature both in terms of risk of road trauma and impacts on pedestrian experience. In car-dominated environments, the challenge is in retrofitting existing infrastructure to enable and encourage walking. It is unclear what diverse people might find difficult and to what extent existing design recommendations identify those needs.</p><p>This study aims to provide a real-world perspective on local design guidelines and the Healthy Streets metrics, by triangulating them with objective measures of the built environment and users’ perceptions of unfeasibility or difficulty. The study builds on previous research having identified non-signalised crossing points experienced by interview participants (half of whom were disabled) as barriers to access. These non-walkable crossings are characterised objectively, using a range of potentially relevant metrics and specific thresholds. The study then sought the simplest way to describe those crossings, identifying the importance of three metrics: (a) peak-hour traffic; (b) complexity; and (c) turning radii for traffic. The results also identified important gaps in local design guidelines and Healthy Streets metrics, which are currently not set up to enable cities to easily identify these difficult crossings.</p><p>These findings are important because they can be used to identify crossings that are likely to cause difficulties walking and should be retrofitted to support walking. They also provide indications of complementary information needed to improve local guidelines and Healthy Streets metrics to enable them to support proactive retrofit.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002179/pdfft?md5=3eeb21ad56f34b291bf26ec553ceab3b&pid=1-s2.0-S0965856424002179-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141638873","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}