Transport Policy最新文献

{"title":"Effect of beliefs and attitudes on public transport users’ choices. The moderating role of perceived intermodal connectivity","authors":"","doi":"10.1016/j.tranpol.2024.10.003","DOIUrl":"10.1016/j.tranpol.2024.10.003","url":null,"abstract":"","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vehicle miles traveled induced demand, rebound effect, and price and income elasticities: A US spatial econometric analysis","authors":"","doi":"10.1016/j.tranpol.2024.09.023","DOIUrl":"10.1016/j.tranpol.2024.09.023","url":null,"abstract":"<div><div>The economic literature on transportation is extensive, with travel demand being a well-studied topic. However, research on light-duty vehicle travel has not fully explored spatial dependencies arising from neighboring regions' driving activities. This study uses state-level panel data from 2000 to 2019 to examine U.S. vehicle miles traveled (VMT), focusing on spatial spillover effects through a Spatial Durbin Model. Our results reveal significant spatial interactions between states. Increased VMT in one state leads to spillover effects, increasing VMT in neighboring states. We present our findings as marginal effects, distinguishing between direct and indirect impacts. The direct price elasticity is estimated at −0.257, with a positive spillover impact of 0.036, yielding a total elasticity of −0.221. Induced travel exhibits a larger indirect effect than a direct effect, resulting in an overall impact of 0.276. Additionally, direct and total income elasticities are 0.194 and 0.146, respectively, while direct and total fuel economy rebound effects are 0.546 and 0.496, respectively. Moreover, higher numbers of licensed drivers, registered vehicles, and urbanization significantly influence a state's VMT. This research highlights the importance of regional planning among states, especially considering transportation infrastructure and environmental concerns related to driving and vehicle emissions.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evolution and stability of liner shipping networks in Northeast Asia from 2018 to 2022","authors":"","doi":"10.1016/j.tranpol.2024.10.001","DOIUrl":"10.1016/j.tranpol.2024.10.001","url":null,"abstract":"<div><div>Ports are severely challenged by the uncertainty of the transportation environment. To evaluate the stability of maritime transportation network in Northeast Asia under port disruption, a network stability analysis model based on node failure rate that considers static and structural, dynamic and functional is proposed in this paper. In this model, the stability of the maritime transportation network is redefined. Based on complex network theory, the statistical topological parameters and evolution of the network are quantitatively analyzed. The active response and passive adaptation process of the maritime transportation network to the failure rate of the port are analyzed. The evaluation results illustrate that the initial stability of the port is proportional to the non-redundant connections and independence of the port. Network location advantages profoundly affect the probability of port failures. The diffusion of port failures in maritime transportation is phased, and the network is adaptive to port disruptions and has high stability. These results contribute to better planning of maritime transportation routes and strategies for port calls by strategic planners of shipping companies.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring determining factors of MaaS app use and its potential effects on mobility behavior: Keys to gender-sensitive planning and management","authors":"","doi":"10.1016/j.tranpol.2024.09.022","DOIUrl":"10.1016/j.tranpol.2024.09.022","url":null,"abstract":"<div><div>Mobility as a Service (MaaS) has become an emerging trend in transportation planning and management due to its potential to overcome the challenges of urban mobility toward the achievement of sustainable mobility goals. This requires people to be willing to use MaaS apps. However, given their relative novelty, there is still a lack of research on the factors that influence the use of these apps, as well as the possible role of gender in such use. In this context, this study aims to explore the complex relationships between a set of relevant factors and their influence on the intention to adopt MaaS apps, with special attention to the role of gender as a moderating variable. For this purpose, a survey was conducted in the Madrid Metropolitan Area (Spain), comprising 8358 respondents (3627 men and 4731 women), and a four-step methodological procedure was adopted: (i) Exploratory Factor Analysis (EFA), (ii) Confirmatory Factor Analysis (CFA), (iii) Structural Equation Model (SEM) on the total sample (iv) Gender-sensitive analysis, including a Multi-group analysis – SEM. The results demonstrate that technophilia, perceived usefulness and perceived ease of use are determining factors. Green values and attitudes toward shared modes have a notable total positive effect. However, contrary to expected, attitudes toward public transport, car and bicycle hardly explain the intention to adopt MaaS apps. Our analysis also reveals significant gender differences in the causal relationships hypothesized in the model. These findings allow us to outline the policy initiatives that could favor the use of MaaS apps, with a gender-sensitive approach.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Impacts of the sea-rail intermodal transport policy on carbon emission reduction: The China case study","authors":"","doi":"10.1016/j.tranpol.2024.09.019","DOIUrl":"10.1016/j.tranpol.2024.09.019","url":null,"abstract":"<div><div>China introduced the Intermodal Transport Demonstration Project Policy in 2015, spurring the rapid expansion of sea-rail intermodal transport (SRT) at coastal ports. This policy is of crucial importance as SRT is pivotal in supporting the transport sector's achievement of the “double carbon target”. Despite strong policy backing and notable growth of SRT, the impact of these SRT demonstration projects on curbing transport carbon emissions has not been comprehensively evaluated. This study addresses this gap by using panel data from hub seaports across nine provinces and applying a multi-period-continuous difference-in-differences model. The research quantifies SRT's contribution to reducing transport carbon emission reductions as a result of the policy. Key findings indicate: (1) Each 10,000 TEU increase in containerized SRT volume results in a 0.162% reduction in transport carbon emissions, with projected growth by 2025 leading to a 9.02% decrease in emissions. (2) SRT lowers transport energy consumption and carbon emission intensity, fostering a green transformation in energy use. (3) Geographical analysis indicates that policy implementation in the southern region requires further strengthening. This study enhances empirical understanding of low-carbon SRT development in hub ports, emphasizing its critical role in China's transition to decarbonized transport. It also highlights the importance of regional policy effectiveness, offering valuable insights for policymakers striving to promote sustainable transport modes.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A framework for modal split and implications on transport growth and travel time savings","authors":"","doi":"10.1016/j.tranpol.2024.09.016","DOIUrl":"10.1016/j.tranpol.2024.09.016","url":null,"abstract":"<div><div>Mobility is one of the most debated issues in the current discussion on transport policies and the climate change. Related indicators are the modal split, transport growth and travel time savings, used for travel behaviour evaluations. In official transport statistics, the modal split is generally used in two ways, according to the number of modal trips and to the modal trip length. Although they are usually used separately, we will show that they are directly connected, where the latter is a weighted version of the former. The introduction of the reference units of “person” and “day” overcomes the limitations of a trip-based definition and extends the ansatz to a mobility-based methodology, where all modal combinations can be considered. Empirical data analysis shows, that transport growth is founded on the increase of individual motorised transport at the disadvantage of pedestrians, whereas other modes remain fairly stable. Daily travel time generally increases especially with individual motorised transport in comparison to non-motorised modes, which shows an inconsistency, for example, for some assumptions or approaches of travel time savings. The proposed methodology does not require any prior assumptions and provides therefore a simple and general applicability. The data analysis is based on national travel survey data from Germany, Switzerland, UK and USA from the 1970-ies up to 2018. One main result of the paper is a frame of reference for the relativity of mobility behaviour, which consistently connects these mobility indicators.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Adoption of Chinese cars and the shift to electric vehicles: Early evidence from Norway","authors":"","doi":"10.1016/j.tranpol.2024.09.012","DOIUrl":"10.1016/j.tranpol.2024.09.012","url":null,"abstract":"<div><div>Chinese auto manufacturers have started exporting electric cars to developed markets. I study data from the world’s leading market for electric vehicles, Norway, to provide some early descriptive evidence on the patterns of Chinese-brand new car sales. Using a Bayesian multilevel regression model, I find evidence of local peer effects: A higher proportion of sales of a Chinese branded car in a postal code increases the probability of a new car sale being Chinese. I also hypothesize that municipalities with high penetrations of electric cars will be associated with higher penetrations of Chinese-branded new car sales. I do not find evidence for this.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142326368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"How does policy awareness impact consumer preferences for passenger vehicles? A study from China","authors":"","doi":"10.1016/j.tranpol.2024.09.014","DOIUrl":"10.1016/j.tranpol.2024.09.014","url":null,"abstract":"<div><div>To reduce energy consumption and carbon emissions in the transportation sector, various incentives for promoting electric vehicle (EV) uptake have been implemented worldwide. However, little attention has been given to how individuals perceive EV-related policy incentives, and a knowledge gap may reduce the effectiveness of these incentives. The aim of this study is to discern how a deep understanding of fiscal incentives can also contribute to greater environmental benefits and how green product-related policy awareness is formed in developing countries. Taking a newly released purchase tax exemption for EVs in China as an example, this study compares consumer preferences over certain attribute levels of vehicles with and without detailed policy information via a randomized group design. A best‒worst scaling profile case experiment is embedded to elicit consumer preferences and detailed information about a newly released vehicle emission standard is also provided to avoid a knowledge gap on this regulation. The result shows that compared to the group without detailed policy information, those with information about tax exemption caps are significantly less attracted to hybrid EVs, larger sized and cheap vehicles. Heterogeneous preferences are observed for the attribute levels. Income level, family size and uncertain are found to be associated with various preference through a latent class logit model. A full understanding of the tax exemption policy with caps may raise the preference for battery EVs among individuals with higher income levels and more confident with their choice, and reduce the preference for large cars among individuals from relatively larger families in particular. Self-reported knowledge about this tax exemption policy and the released vehicle emission standard is also examined before the experiment. The results indicate that the awareness of fiscal policies is greater than the awareness of the emission regulation. Individuals who are less risk averse, have higher household income levels, are from regions with more fluently standard language use, or are male are found to have a deeper understanding of these policy incentives. To enhance individual’s greener vehicle related policy awareness and further shape their preference towards sustainable consumption, employing social media to transmit policy information and improving confidence in greener vehicle uptake among target populations through well designed policy incentives, especially in less developed regions might be important for developing countries.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the post-pandemic evolution of telecommuting preferences by using a panel stated preference survey","authors":"","doi":"10.1016/j.tranpol.2024.09.013","DOIUrl":"10.1016/j.tranpol.2024.09.013","url":null,"abstract":"<div><div>This study's objective is to assess the telecommuting implementation during the protracted COVID-19 disruption to extrapolate our comprehension of telecommuting's options and obstacles for the future. To accomplish this, we investigated employees' desire to continue telecommuting in the post-pandemic era and their work arrangements during the COVID-19 pandemic. We used data from two cross-sectional travel surveys with a one-year gap from the same group of people in the Greater Toronto Area (GTA) during the COVID-19 pandemic shutdown. A joint SP (Stated Preference) model is estimated to determine the influential workplace decision-making variables. Results suggest that the increase in telecommuting would decelerate as the risk of the pandemic decreased. However, employees are still interested in telecommuting if given the option. Education level, childcare duties, occupation type, and access to technological and communicational tools are found to influence the decision to telecommute. The hybrid work arrangement was found to be the optimal solution for satisfying all the employees' requirements. Based on findings, an employee's perspective of telecommuting preferences, obstacles, and options are portrayed, and policy implications are presented.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing multi-period freight networks through industrial relocation: A land-use transport interaction modeling approach","authors":"","doi":"10.1016/j.tranpol.2024.09.015","DOIUrl":"10.1016/j.tranpol.2024.09.015","url":null,"abstract":"<div><div>This study proposed a method for optimizing a multi-period freight network design problem with industrial relocation (MPNDP-IR). Firstly, a land-use transport interaction (LUTI) model is developed to quantitatively describe the intricate interactions between industrial relocation behavior and freight network upgrades. Then, the proposed LUTI model is integrated into a bilevel programming framework to effectively optimize the multi-period network investment strategies and maximize benefits from relocated industries and freight transshipment. Finally, taking the Yangtze River Economic Belt (YREB) as a case study, the study results indicate that the sensitivity to location utility significantly affects the scope of the beneficial impacts of freight network investment policies, thereby affecting the industrial relocation pattern. Among manufacturing activities, the raw material and chemical industry is most responsive to such network investment policies along an important railway corridor. Under the low-sensitivity scenario, the relocation pattern of such an industry aligns with a gradient relocation mode; while, under the high-sensitivity scenario, it tends to choose a “fly-in” mode. This study provides a decision support method tailored for the MPNDP-IR. It not only simulates the coevolution of different industrial activities and freight network upgrades but also evaluates the spatiotemporal impact of multi-period network investment policies in the context of industrial relocation.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142326376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}