Bárbara Vázquez-Paja , María Feo-Valero , Salvador del Saz-Salazar
{"title":"Environmental awareness and transportation choices: A case study in Valencia, Spain","authors":"Bárbara Vázquez-Paja , María Feo-Valero , Salvador del Saz-Salazar","doi":"10.1016/j.trd.2024.104487","DOIUrl":"10.1016/j.trd.2024.104487","url":null,"abstract":"<div><div>This research examines the role of environmental awareness and pro-environmental actions on transport mode choice among university students in Valencia, Spain. Based on data obtained through 524 face-to-face interviews, a hybrid discrete choice model was developed to identify the main determinants and the most effective policy measures to achieve sustainable transportation.</div><div>Our findings highlight a disassociation between environmental awareness and actual pro-environmental actions. While the latent variable of environmental awareness has no significant effect, pro-environmental actions do positively affect the probability of using sustainable modes.</div><div>In terms of policy recommendations, the most effective measures to reduce car dependency would be those affecting transit time, such as reducing parking space in campus surroundings or facilitating transfers in the case of public transportation. Finally, policies aimed at increasing sustainable transportation should not only focus on raising awareness but also on promoting involvement in non-transport-related environmental actions.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104487"},"PeriodicalIF":7.3,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661968","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}
Aaron Percastre Gómez , David Bonilla , David Banister
{"title":"Decoupling transport-CO2 emissions: Mexico, Spain and The USA: A trend analysis","authors":"Aaron Percastre Gómez , David Bonilla , David Banister","doi":"10.1016/j.trd.2024.104510","DOIUrl":"10.1016/j.trd.2024.104510","url":null,"abstract":"<div><div>Existing methodologies to measure (de)coupling among economic activity, surface transport (road and rail), and CO<sub>2</sub> emissions have not captured the complexity of decoupling. This study aims to contribute to the understanding of (de)coupling. Three groups of variables were formed (using 17 variables). By relating each variable to the others through a ratio, an indicator is obtained that corresponds to a coupling-decoupling category. In total, 36 indicators (by country) were analysed for the three countries. The results reveal that transport volume changes proportionately more than economic activity (materialization). Conversely, CO<sub>2</sub> emissions change proportionately less than do economic activity and surface transport volume (decarbonization), although Mexico requires greater efforts. Additionally, decoupling is tangible at aggregated levels, while coupling is evident at disaggregated levels. Finally, the combination of these features contributes to the formulation of policies for achieving sustainable transport. One limitation of this study is the exclusion of air and maritime transport.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104510"},"PeriodicalIF":7.3,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661966","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}
Mushu Zhao , Dawei Wang , Weifeng Li , Jianzheng Liu
{"title":"Unraveling influencing factors of public charging station utilization","authors":"Mushu Zhao , Dawei Wang , Weifeng Li , Jianzheng Liu","doi":"10.1016/j.trd.2024.104506","DOIUrl":"10.1016/j.trd.2024.104506","url":null,"abstract":"<div><div>Accelerating EV adoption is crucial in reducing carbon emissions. To support EV penetration and minimize waste, we analyzed real-world charging status big data in a high-density city heavily reliant on public charging infrastructure. Using a two-part spatial lag of X model, we investigated the impact of charging station attributes and the surrounding built environment on the utilization rates, defined as the ratio of occupied (fast/slow) charging piles to the total available (fast/slow) piles at each station. Our findings reveal that fast charging stations located outdoors, sheltered, and near major roads attract more users, while these factors do not significantly affect the slow utilization rate. Utilization rates are higher for fast charging stations surrounded by a diverse land use mix, while the opposite is observed for slow charging stations. These findings provide valuable insights for the effective operation of charging infrastructure, furthering the development of the new-energy market and sustainable transportation.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104506"},"PeriodicalIF":7.3,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661967","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":"Impacts of new metro lines on the activity space of older people","authors":"Mi Diao , Keyu Lin , Zheng Chang","doi":"10.1016/j.trd.2024.104505","DOIUrl":"10.1016/j.trd.2024.104505","url":null,"abstract":"<div><div>With declining physical health, older people face increasing travel difficulties and shrinking activity spaces, negatively impacting their well-being and raising significant equity concerns. Metro offers a promising solution to enhance the mobility of older people and expand their activity spaces. This study assesses the causal impact of new metro lines on older people’s activity spaces, using the opening of Shanghai Metro Line 15 as a natural experiment. We track activity spaces of different age groups at a grid cell level over time using a large-scale mobile phone dataset and employ difference-in-differences models to evaluate Line 15′s impact. The results show that Line 15 has expanded the activity spaces for all age groups, with older adults benefiting more than the younger groups, thus enhancing transport equality. Our findings provide evidence highlighting the significant role of metro systems in enhancing older people’s mobility, offering valuable insights for policymakers in planning age-friendly cities.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104505"},"PeriodicalIF":7.3,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661939","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}
Zhiqiang Zhai , Leqi Zhang , Guohua Song , Xiao Li , Lei Yu
{"title":"Modeling energy consumption for battery electric vehicles based on in-use vehicle trajectories","authors":"Zhiqiang Zhai , Leqi Zhang , Guohua Song , Xiao Li , Lei Yu","doi":"10.1016/j.trd.2024.104509","DOIUrl":"10.1016/j.trd.2024.104509","url":null,"abstract":"<div><div>The development of battery electric vehicles (BEVs) raises a demand to develop a tool to estimate and predict their energy consumption accurately and efficiently. This study proposes a model to estimate the energy consumption of BEVs based on the trajectories of in-use vehicles, including both BEVs and internal combustion engine vehicles (ICEVs). This model consists of three modules: vehicle specific power (VSP) distributions, energy consumption rates, travel time and mileages. The estimation results are validated and compared with those derived from driving cycles and instantaneous speeds. It is found that the VSP distributions can capture the variation of the energy consumption relating to average speeds, and the results are unbiased with average errors less than 1.9%, comparing with instantaneous speeds. It is practicable to employ the trajectories of ICEVs to model the activity of BEVs for energy consumption estimates, and the average errors are less than 2.7%.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104509"},"PeriodicalIF":7.3,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661938","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}
Guiliang Zhou , Lina Mao , Tianwen Bao , Feipeng Zhuang
{"title":"Machine learning-driven CO2 emission forecasting for light-duty vehicles in China","authors":"Guiliang Zhou , Lina Mao , Tianwen Bao , Feipeng Zhuang","doi":"10.1016/j.trd.2024.104502","DOIUrl":"10.1016/j.trd.2024.104502","url":null,"abstract":"<div><div>The research examines the carbon dioxide (CO2) emissions produced by light-duty vehicles (LDVs) utilizing a thorough dataset of 7,384 cars gathered by the Chinese government between 2018 and 2022. The research aims<!--> <!-->to attain a 40–45% decrease in CO2 emissions by 2030 by the application of advanced machine learning algorithms, specifically Catboost. The results reveal that Catboost, recognized for its data efficiency and capability to manage categorical information, surpasses other models in predictive accuracy, including support vector regression and ridge regression. It is particularly notable for its capability to estimate emissions using just a limited set of vehicle attributes. The research offers crucial insights into air pollution, providing vital suggestions for car owners and manufacturers to reduce their environmental effects. Future investigations should prioritize improving the precision of the model and broadening the datasets to enhance the quality of forecasts.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104502"},"PeriodicalIF":7.3,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661936","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}
Camilo A. Mora-Quiñones , Jan C. Fransoo , Josué C. Velázquez-Martínez , Leopoldo Eduardo Cárdenas-Barrón , Rafael Escamilla
{"title":"Assessing the impact of loading-unloading zones in emerging markets: Evidence from Mexico","authors":"Camilo A. Mora-Quiñones , Jan C. Fransoo , Josué C. Velázquez-Martínez , Leopoldo Eduardo Cárdenas-Barrón , Rafael Escamilla","doi":"10.1016/j.trd.2024.104486","DOIUrl":"10.1016/j.trd.2024.104486","url":null,"abstract":"<div><div>We investigate the impact of dedicated loading–unloading zones (LUZs) in emerging markets, focusing on their effects on air quality and noise pollution. We conduct a field experiment in downtown area of Zapopan, Mexico. We use a quasi-experimental difference-in-difference approach to analyze changes in air quality and noise pollution before and after implementing the dedicated LUZs. The results indicate a significant reduction of up to 3.55% in CO<sub>2</sub> levels in the mornings and a 14% decrease in noise following the establishment of LUZs. Moreover, insights into the composition of companies involved in last-mile distributions reveals a predominant reliance on micro and small businesses, often utilizing personal vehicles for cargo transport, with a significant portion of freight vehicles being over a decade old. We contribute to the existing literature by providing evidence of the impact of LUZs on mitigating negative externalities associated with last-mile operations, particularly in a developing city.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104486"},"PeriodicalIF":7.3,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661937","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":"Using natural driving experiments and Markov chains to develop realistic driving cycles","authors":"J.D.K. Bishop , C.J. Axon","doi":"10.1016/j.trd.2024.104507","DOIUrl":"10.1016/j.trd.2024.104507","url":null,"abstract":"<div><div>The main purpose of driving cycles is to estimate accurately on-road fuel use and the associated emissions of greenhouse gases and other air pollutants by vehicles. Conventionally, driving cycles are developed using micro-trips, Markov chains, or hybrid approaches, with accuracy determined by comparing metrics of the candidate cycles with the observed data. Through a natural driving experiment, we suggest traffic and road topology have a dominant role in influencing individual driving styles, more so than driver age or gender, or vehicle characteristics. Using experimental data and a Markov chain approach, we make three contributions to driving cycle development. First, we identify a reduced set of 26 metrics which materially influence fuel economy. Second, we assess the trade-offs in accuracy between reproducing vehicle dynamics and fuel economy. Finally, we identify the impact of natural driving variability on the accuracy of candidate cycles.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104507"},"PeriodicalIF":7.3,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661935","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":"Fleet vehicle replacement strategy in the Korean market under phase-out of conventional vehicle","authors":"Sangbaek Woo , Deok-Joo Lee , Saedaseul Moon","doi":"10.1016/j.trd.2024.104501","DOIUrl":"10.1016/j.trd.2024.104501","url":null,"abstract":"<div><div>With the recent global requirements to phase out internal combustion engine vehicles (ICEVs), fleet owners (FOs) must consider battery electric vehicles (BEVs) as replacements, introducing regulatory risk due to policy changes. Many countries have legal retirement age limit for fleet vehicles (FVs), considered as policy constraint necessitating eventual replacement. Additionally, uncertainties like fuel price of ICEV and battery price affect the replacement decision. This study proposes an optimal replacement strategy using real option approach for annual decision-making under multiple risk factors. Using data from the Korean FV market, we provide managerial implications. Despite optimistic battery price projections, voluntary BEV switching is not expected to exceed 40% of total FVs. Sensitivity analysis reveals that adjusting the legal retirement age is more effective than changing the BGVSP implementation year. Also, A flexible subsidy based on fuel prices and the extension of the legal retirement age limit through safety inspections should be recommended.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104501"},"PeriodicalIF":7.3,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661934","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 impacts of extreme weather events on U.S. Public transit ridership","authors":"By Nicole S. Ngo, Shahinur Bashar","doi":"10.1016/j.trd.2024.104504","DOIUrl":"10.1016/j.trd.2024.104504","url":null,"abstract":"<div><div>Climate change is expected to dramatically change weather patterns across the U.S. To understand its impact on public transit, we use regression analysis to investigate: 1) the relationship between public transit ridership and very hot and cold days and days with heavy precipitation across 48 U.S. cities between 2002 and 2019, 2) how this relationship has changed over time, and 3) if there are differences in this relationship based on sociodemographic characteristics. We find a modest reduction in unlinked passenger trips (UPT) per capita, our proxy for public transit ridership, for each additional very hot day, very cold day, or day with heavy precipitation. The greatest reductions associated with very hot days occur toward the end of our study period and in lower-income cities. We also find greater reductions in UPT on buses associated with several consecutive days of cold and heat, but less so with rail.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"137 ","pages":"Article 104504"},"PeriodicalIF":7.3,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661933","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}