Transportation Research Part A-Policy and Practice最新文献

{"title":"Social norms at crosswalks: Impact on pedestrian-yielding behavior and nudge intervention effectiveness","authors":"Xiuying Xin ,&nbsp;Ning Jia ,&nbsp;Shuai Ling","doi":"10.1016/j.tra.2024.104342","DOIUrl":"10.1016/j.tra.2024.104342","url":null,"abstract":"<div><div>We conduct two surveys to investigate the underlying mechanism of drivers’ pedestrian-yielding behavior (DPYB) from a social norms perspective (Study 1), and design a norm-based intervention to assess its potential to alter DPYB (Study 2). In Study 1, we compare the normative expectations of DPYB between Zhejiang Province, which has a high pedestrian-yielding rate (PYR), and Hubei Province, which has a low PYR. The social norms in these two provinces differ significantly. Respondents from Zhejiang perceive others yielding for pedestrians more frequently (descriptive norm, DN), and are more likely to consider non-yielding behavior inappropriate (injunctive norm, IN). Both DN and IN significantly influence DPYB, indicating the causal effect of social norms on DPYB. In Study 2, to enhance the generalization of Study 1′s results, we expand the target provinces from two to nine, confirming the results from Study 1. Additionally, we design a norm-based ’nudge’ intervention aimed at promoting DPYB. This intervention would be implemented within a ride-hailing platform, which is widely used in China and could potentially provide a cost-effective means of supervising DPYB compared to other interventions like surveillance camera, as ride-hailing cars can access any street while the number of intersections with cameras is limited. Through a survey experiment, we compare the acceptance and perceived effectiveness of the nudge intervention with three other interventions: scrolls, ground paint and surveillance cameras. The nudge intervention and the introduction of surveillance cameras were found to be particularly effective. Interestingly, although there were no significant differences in acceptance among the four tested interventions, respondents from high PYR provinces had significantly higher acceptance and perceived effectiveness of the nudge intervention than those from the low PYR provinces. Our findings suggest that social norms play a crucial role in intervention design and a reliable measure for assessing an intervention’s effectiveness. The results encourage the policymakers to implement norm-based nudge intervention but highlight the need to consider existing social norms in shaping the effectiveness and receptivity of nudge-based strategies. This research underscores the significance of leveraging social norm as a focal point for designing interventions to enhance driver behavior towards increased pedestrian safety.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104342"},"PeriodicalIF":6.3,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759452","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":"Commuter choice of UAM-friendly neighborhoods","authors":"Ying Zhao,&nbsp;Tao Feng","doi":"10.1016/j.tra.2024.104338","DOIUrl":"10.1016/j.tra.2024.104338","url":null,"abstract":"<div><div>Urban Air Mobility (UAM) which provides swift intra- and intercity transportation services has the potential to induce shifts in individuals’ commuting and residential decisions. It is anticipated that, in residential areas, UAM services would enhance accessibility for residents. An UAM-friendly neighborhood represents a novel, integrated neighborhood concept that provides the infrastructure and travel environment required to facilitate UAM services, thereby promoting sustainable neighborhood development and improving accessibility. To gain a deeper understanding of commuters’ choice behavior in UAM-friendly neighborhoods, we designed a stated choice experiment. Using data collected in Beijing city, we estimated a mixed logit model with interaction effects to identify the choice preferences of different people while capturing the unobserved preference heterogeneity. We found that individuals generally prefer to reside in such neighborhoods where the access distance to UAM vertiports is within one kilometer, the parking fee is either low (5 yuan/day) or free, the commuting time by UAT is 15 min, and drone window-docking delivery services are available. Households with high incomes (&gt;400,000 yuan/year) and those owning a car are likely to adopt these novel neighborhoods. There is a varying degree of heterogeneity observed regarding residential location and distance to UAM vertiports among individuals in different age groups. Results of the elasticity analysis indicate that UAT commuting cost has the greatest impact on the likelihood of residing in UAM-friendly neighborhoods.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104338"},"PeriodicalIF":6.3,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743879","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":"Revealing accessibility disparities: A latent class analysis linking objective and subjective accessibility measures","authors":"Milan L. Moleman,&nbsp;Maarten Kroesen","doi":"10.1016/j.tra.2024.104341","DOIUrl":"10.1016/j.tra.2024.104341","url":null,"abstract":"<div><div>The last decade denoted a growing interest in perceived accessibility, yet the link between perceived and objective accessibility measures is understudied. This paper aims to address accessibility poverty by identifying groups with different levels of perceived accessibility. To achieve this aim, we develop a latent class model that relates perceived accessibility patterns to social, transport, and geographical conditions encountered by individuals. To support the specification of the latent class model, we develop a theoretical framework that links transport, social, and geographical conditions with perceived inaccessibility. Data is obtained from the Dutch National Travel Survey, which includes information on travel patterns and preferences. In total, 20,020 participants are included in the analysis. The latent class model identified six social groups with varying levels of perceived accessibility. Notably, while 89% of the individuals perceive excellent accessibility, a minority of 11% experiences different forms of inaccessibility. In addition, the latent class model showed that social rather than transport or spatial conditions encountered by individuals determine perceived inaccessibility. The results lend support to tailored policies aimed at reducing accessibility poverty and social exclusion for specific segments of the population.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104341"},"PeriodicalIF":6.3,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743883","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 relationships between ridesourcing and public transit using big data analysis and nonlinear machine learning: A case study of Shanghai, China","authors":"Xinghua Liu ,&nbsp;Qian Ye ,&nbsp;Ye Li ,&nbsp;Kaidi Yang ,&nbsp;Xuan Shao","doi":"10.1016/j.tra.2024.104339","DOIUrl":"10.1016/j.tra.2024.104339","url":null,"abstract":"<div><div>Ridesourcing has transformed the landscape of passenger transportation systems in many cities worldwide, but whether it competes with or complements public transport (PT) is still debated, and the literature is limited. Therefore, this study aims to address this knowledge gap by measuring the relationships between the two systems and examining their determinants using a multisource big data analysis and nonlinear machine learning approach, with Shanghai, China, as the study case. First, we used the observed ridesourcing data in Shanghai to compute the fastest PT alternative for each ridesourcing trip based on the Amap open platform and subsequently compared the travel patterns (i.e., distance, duration, and generalized cost) of the two systems. Second, we propose a technical framework that considers the spatiotemporal availability and generalized cost acceptability of PT services, as well as the inclusivity of ridesourcing services, to accurately classify and identify the relationship between ridesourcing and PT systems. Finally, we explored the importance of four types of determinants, namely, ridesourcing characteristics, PT service, built environment, and weather, and their nonlinear effects on different relationships based on extreme gradient boosting and Shapley additive explanations. Our results show that the fastest PT alternative involves an average travel distance, generalized travel time, and generalized cost that are 1.16, 2.13, and 1.15 times greater, respectively, than those of ridesourcing. Competitive trips account for 36% of urban areas but only 16% in the suburbs. Furthermore, more than 70% and 10% of the ridesourcing trips in suburban areas are used to complement and integrate PT, respectively. The nonlinear machine learning framework identified the top three determinants of integration as travel cost, distance to the CBD, and travel time. Notably, determinants such as the distance to the CBD and temperature have nonlinear effects on these relationships. These findings offer valuable insights for designing multimodal transportation options that integrate the benefits of ridesourcing and PT.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104339"},"PeriodicalIF":6.3,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743794","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":"Eating-out behavior across different restaurant segment types: Implications for transportation, public health, and food service sectors","authors":"Angela J. Haddad,&nbsp;Aupal Mondal,&nbsp;Chandra R. Bhat","doi":"10.1016/j.tra.2024.104337","DOIUrl":"10.1016/j.tra.2024.104337","url":null,"abstract":"<div><div>This paper investigates the factors shaping dining-out preferences, focusing on the allocation of monthly weekday dinner occasions across four key restaurant segments: quick-service restaurants (QSRs), coffeehouses (CHs), casual-service restaurants (CSRs), and full-service restaurants (FSRs). The paper employs a Multiple Discrete-Count Extreme Value (MDCNTEV) modeling approach to analyze the data obtained from an online survey conducted in Texas in 2022. The findings reveal the compromises and considerations consumers make when determining their dining habits. Model estimation results indicate that frequent restaurant diners are white, affluent, single men, own multiple vehicles, and work full-time from a physical workplace location. There are also notable differences in those who tend to patronize different restaurant segments. QSRs attract younger, non-white, low-income individuals living with roommates, and residing in QSR-dense areas. CHs primarily draw in younger, non-white, working individuals. CSRs are favored by older individuals, single white women, car-less individuals, and residents of high-restaurant-density areas. FSRs are popular among non-white, high-income individuals. Our findings highlight the multifaceted interactions of demographic, socioeconomic, lifestyle, and location factors influencing consumer dining behavior, offering valuable insights for the transportation and urban planning, public health, and food service sectors.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104337"},"PeriodicalIF":6.3,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723107","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":"Causal inference for transport research","authors":"Daniel J. Graham","doi":"10.1016/j.tra.2024.104324","DOIUrl":"10.1016/j.tra.2024.104324","url":null,"abstract":"<div><div>This paper provides a consolidated overview of the statistical literature on causal inference, emphasising its relevance and applicability for transportation research. It outlines a framework for causal identification based on the concept of potential outcomes and provides a summary of core contemporary methods that can be used for estimation. Typical challenges encountered in identifying cause–effect relationships in applied transportation research are analysed via case study simulations, and <span>R</span> code to execute and adapt causal estimators is made available. Causal inference can be used to obtain unbiased and consistent estimates of causal effects in non-experimental settings when interventions or exposures are non-randomly assigned. The paper argues that empirical analyses in transport research are typically conducted in this setting, and consequently, that causal inference has immediate and valuable applicability.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104324"},"PeriodicalIF":6.3,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723106","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":"The effect of electric vehicle use on trip frequency and vehicle kilometers traveled (VKT) in the Netherlands","authors":"Linlin Zhang,&nbsp;Dea van Lierop,&nbsp;Dick Ettema","doi":"10.1016/j.tra.2024.104325","DOIUrl":"10.1016/j.tra.2024.104325","url":null,"abstract":"<div><div>The transition from conventional vehicles to battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs) is expected to significantly contribute to reducing greenhouse gas emissions in the transportation sector. However, the effectiveness of this transition depends on how BEVs and PHEVs are used compared to internal combustion engine vehicles (ICEVs) and hybrid electric vehicles (HEVs). This paper analyzes data from the 2018–2020 Dutch National Travel Surveys to assess travel behavior of single-car households across four vehicle types: ICEVs, HEVs, PHEVs, and BEVs. Specifically, we focus on daily trip frequency and vehicle kilometers traveled (VKT) for both commuting and non-commuting purposes, while examining how these vehicle usage patterns correlate with vehicle attributes, socioeconomic and demographic factors, and the built environment. Our descriptive analysis shows that BEV and PHEV users have significantly longer daily VKT for both commuting and non-commuting travel compared to ICEV and HEV users. The model results reveal that after controlloing for various factors, BEVs are associated with shorter daily VKT for non-commuting travel compared to other powertrain types, while a pattern not observed for commuting travel. Notably, there is no evidence of a rebound effect linked to the use of BEV and PHEV powertrains. Additionally, leased or company vehicles, regardless of powertrain type, are associated with higher daily VKT and a higher probability of trip-making compared to privately owned vehicles. This higher daily VKT observed for BEV and PHEV users is largely due to the higher prevalence of their vehicles being leased or company cars, rather than the powertrain type itself.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104325"},"PeriodicalIF":6.3,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723105","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":"Travel decision making under uncertainty and road traffic behavior: The multifold role of ambiguity attitude","authors":"Jingjing Zeng ,&nbsp;Zheng Li ,&nbsp;David A. Hensher","doi":"10.1016/j.tra.2024.104326","DOIUrl":"10.1016/j.tra.2024.104326","url":null,"abstract":"<div><div>To connect commuters’ uncertain mode choices with traffic behavior in the presence of travel time variability, we develop a dynamic traffic simulation in terms of an agent-based model, which consists of two sub-models, the mode choice model and the traffic flow simulation model. The modeling framework accommodates the interplay between mode choice and traffic behaviors and their co-evolution over time. We embed an extended list of empirical parameters including ambiguity/risk attitudes and time-money trade-offs within a rank-dependent and mode-dependent utility framework to imitate commuters’ daily mode choice behaviors. The improved behavioral realism at the micro-level results in more realistic outputs such as modal split and average speed at equilibrium. The evidence demonstrates that a richer representation of mode choice behavior at the individual level is associated with a gain in aggregating them to the level of system behavior, in which ambiguity seeking, a typical behavior in the loss domain but largely ignored in the transport literature, plays an important role.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104326"},"PeriodicalIF":6.3,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723145","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":"Digital payment adoption in public transportation: Mediating role of mode choice segments in developing cities","authors":"Shahiq Ahmad Wani ,&nbsp;Agnivesh Pani ,&nbsp;Ranju Mohan ,&nbsp;Basuraj Bhowmik","doi":"10.1016/j.tra.2024.104319","DOIUrl":"10.1016/j.tra.2024.104319","url":null,"abstract":"<div><div>The emergence of digital payments, propelled by technology advancements, is revolutionising how we transact and pay for goods and services, ushering in the era of convenience and efficiency. The numerous benefits of these systems have prompted public transportation agencies to implement them. Understanding the factors influencing such technology adoption in the early stages is necessary. While limited research in the transportation sector exists, it is mainly focused on mobile ticketing or conducted before the adoption of digital payment technology. The former is not yet widespread in developing countries as they still have a human-driven system. This study presents a two-step methodology for analysing the population using a segmentation approach done using Latent class cluster analysis (LCCA) and thereby analysing each cluster and total data to evaluate the factors influencing the adoption of digital payments through ML classification algorithms – Decision trees, Random Forest and XGBoost. Trip parameters as model indicators and socio-demographic constructs as covariates are input to LCCA, resulting in seven clusters labelled <em>Satisfied P.T. Users (24.48</em> %<em>), Access-Concerned IPT Users (20.22</em> %<em>), Satisfied MTW Users (12.91</em> %<em>), Information-Concerned MTW Users (12.16</em> %<em>), Comfort-Concerned Car Users (11.21</em> %<em>), Safety-Concerned Captive P.T. Users (10.09</em> %<em>) and Comfort-Concerned MTW Users (8.93</em> %<em>).</em> A comparison of the model predictions, accuracies and important features highlights that XGBoost is best performing for most of the clusters. Results indicated that the different segments exhibit different properties. Prior use of travel apps, type of phone owned, internet availability, and age significantly influence the adoption of digital payment. The study highlights the importance of understanding the different user segments and tailoring the digital payment technologies accordingly to promote their adoption in Public transportation. The study can help policymakers shape technological decisions and encourage technology use. Future studies can explore the attitudinal aspects of commuters and employ advanced analytical methods for further exploration.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"191 ","pages":"Article 104319"},"PeriodicalIF":6.3,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701453","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":"Transportation infrastructure, comparative advantage, and regional specialization: Evidence from China’s high-speed railway network","authors":"Yabin Pi ,&nbsp;Yanzhen Wang","doi":"10.1016/j.tra.2024.104334","DOIUrl":"10.1016/j.tra.2024.104334","url":null,"abstract":"<div><div>Using the quasi-natural experiment of China’s high-speed railway (HSR), this paper investigates the impact of transportation infrastructure on regional specialization, focusing on the differential effects on sectors with varying degrees of comparative advantages. Constructing a multi-region and multi-sector spatial economic model that includes Ricardian comparative advantage, we find that the reduction in trade costs leads to increases in market access but also intensifies local market competition, disproportionately benefiting sectors with comparative advantages. Empirical analysis of prefecture-level data from 2006 to 2016 reveals that HSR connection positively impacts industries with comparative advantages, but has negative impacts on industries without comparative advantages. This research introduces a new mechanism by which transportation infrastructure influences regional specialization: it disproportionately benefits industries with initial comparative advantages, thereby accelerating their growth relative to industries without comparative advantages. The findings provide valuable insights for policymakers aiming to optimize industrial structure planning in HSR-connected cities. Specifically, policymakers should consider both the reliance on HSR transportation and initial comparative advantages when planning industrial structures.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"191 ","pages":"Article 104334"},"PeriodicalIF":6.3,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701451","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}