Changmo Kim , Ali Azhar Butt , John T. Harvey , Maryam Ostovar
{"title":"Environmental impacts from traffic on highway construction work zones: Framework and simulations","authors":"Changmo Kim , Ali Azhar Butt , John T. Harvey , Maryam Ostovar","doi":"10.1080/15568318.2024.2392624","DOIUrl":"10.1080/15568318.2024.2392624","url":null,"abstract":"<div><div>Emissions from internal combustion engine vehicles on highways are the major contributors to global warming in the United States. Transportation sector pavement-related emissions come from gasolines and diesel use in vehicles from pavement-vehicle interaction, which is affected by pavement conditions, and by the trucking of new pavement materials and demolition. The objective of this study was to develop a framework for determining the fuel use resulting in environmental impacts caused by construction work zones (CWZs) on a range of vehicles and to produce initial calculations of these impacts by modeling traffic closure conditions for highway maintenance and rehabilitation activities. The study included two common highway categories—freeways/multi-lane highways and two-lane highways. The framework was demonstrated using three CWZ operations under different traffic congestion levels. In the simulation results for a freeway with a CWZ and heavy congestion, fuel consumption increased by 85% and the carbon-dioxide equivalent emissions increased by 86%. Changing CWZ traffic congestion from heavy (average speed 5 mph) to medium (average speed 25 mph for a freeway section) reduced fuel consumption by 40% on a freeway. This study also included use of a pilot car in a CWZ on a two-lane road typical of lower traffic volume state highways and county roads to compare with the drive cycles in MOVES used for the scenarios. The pilot-car operation scenario results indicate that a one-lane closure with pilot-car operation on a two-lane road might consume 13% excess fuel because of idling time and the slow movement of vehicles following the pilot car.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 8","pages":"Pages 680-694"},"PeriodicalIF":3.1,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eugene Y.C. Wong , Kev K.T. Ling , Allen H. Tai , Andrew Yuen
{"title":"Two-stage multilateral trade-based prediction model for freight transport carbon emission of Belt and Road countries along Eurasian Landbridges","authors":"Eugene Y.C. Wong , Kev K.T. Ling , Allen H. Tai , Andrew Yuen","doi":"10.1080/15568318.2024.2392190","DOIUrl":"10.1080/15568318.2024.2392190","url":null,"abstract":"<div><div>Global freight distribution patterns have been affected by trading policies and the pandemic outbreak. The Belt and Road Initiative, trade conflicts, and the COVID-19 pandemic have changed the global logistics flow, shifting cargos from maritime and air transport to railway transport along the countries in the Eurasian Landbridge. Though railway freight emits less carbon than road truck transportation, the increased use of railway freight brings in a higher volume of carbon emissions to cities located along the landbridges. Achieving net zero carbon emission is becoming more important, but there is a lack of literature in assessing the environmental impact of cross-border railway logistics transportation among Belt and Road countries. A novel two-stage multilateral trade-based prediction model is developed, integrating a modified gravity model and nonlinear autoregressive neural network for trade and emission forecasting. The model evaluates railway freight along the landbridge over ten years and forecasts the impact of carbon emissions from trading and logistics along the corridor in the subsequent five years. It further analyses the emissions impact of the proposed Third Eurasian Landbridge and the extended Second Eurasian Landbridge. The findings provide insights for the development of railway freight transport, considering trade and logistics flow, carbon emission mitigation strategies, and sustainability impact between China and other Belt and Road countries. While countries such as India and Kazakhstan were forecast to have significant amounts of carbon emissions in the projected period, the rapid growths in locations with smaller emission amounts such as Kunming and Georgia should draw attention and require continuous monitoring.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 8","pages":"Pages 633-650"},"PeriodicalIF":3.1,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Felix Röhrich , Dominik Rebholz , Robert Keller , Marius Prank
{"title":"New ways for carsharing – Can mobility as a service boost carsharing?","authors":"Felix Röhrich , Dominik Rebholz , Robert Keller , Marius Prank","doi":"10.1080/15568318.2024.2391885","DOIUrl":"10.1080/15568318.2024.2391885","url":null,"abstract":"<div><div>Mobility as a Service is a potential game changer in the transition from individual motorized to sustainable and multimodal mobility in urban areas. These innovative concepts are an opportunity for existing forms of sustainable mobility to reach a broader user base and extend their service offerings. Although there are some practical examples of carsharing applications in such concepts, there is a lack of data-driven research about Mobility as a Service in practice and, above all, findings about the influence on usage behavior within such systems. We analyze usage data of the “Mobil-Flat”, a subscription-based mobility offer that integrates carsharing, public transportation, and bike sharing into a single service in a medium-sized German city, to determine the impact of Mobility as a Service on carsharing use. This results in a structured overview of the business model and the implications of such concepts on user behavior and acceptance in the context of carsharing, based on a real-world dataset.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 8","pages":"Pages 651-661"},"PeriodicalIF":3.1,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Asad Yarahmadi , Catherine Morency , Martin Trepanier
{"title":"Identifying optimal number of driving cycles to represent diverse driving conditions","authors":"Asad Yarahmadi , Catherine Morency , Martin Trepanier","doi":"10.1080/15568318.2024.2397647","DOIUrl":"10.1080/15568318.2024.2397647","url":null,"abstract":"<div><div>Driving cycle is one of the main inputs of vehicle emission modeling. However, the variability of driving cycles due to fluctuations in weather conditions is one of the primary sources of uncertainty in vehicle emission estimation. This study aims to identify and determine an optimal number of driving cycles that can correctly represent driving patterns in diverse weather conditions. First, a multivariate multiple regression model is developed to determine the most important weather factors affecting the driving patterns. Then, similar weather conditions are identified according to these factors using unsupervised machine learning. Next, two driving cycles are constructed for diverse weather types, one for weekdays and one for weekends. Afterward, descriptive analysis and a similarity matrix are employed to determine how similar the generated driving cycles are in different weather types. Finally, 15 driving cycles are identified to represent driving patterns in diverse driving conditions.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 8","pages":"Pages 704-726"},"PeriodicalIF":3.1,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daejin Kim , Hyeongyun Ki , Wonho Suh , Soongbong Lee , Joonho Ko
{"title":"Factors driving reduction in CO2 emissions from personal travel: A repeated cross-sectional analysis","authors":"Daejin Kim , Hyeongyun Ki , Wonho Suh , Soongbong Lee , Joonho Ko","doi":"10.1080/15568318.2024.2391886","DOIUrl":"10.1080/15568318.2024.2391886","url":null,"abstract":"<div><div>This study identifies factors that drive the changes in CO<sub>2</sub> emissions from personal travel in urban areas during 2006 and 2016 using repeated cross-sectional household travel surveys conducted in Seoul, Korea. We first estimated the daily travel CO<sub>2</sub> emissions of every survey participant for each year based on travel itinerary records and estimated CO<sub>2</sub> intensity for the travel mode. The results suggest that total CO<sub>2</sub> emissions from personal travel in Seoul declined remarkably between 2006 and 2016, potentially due to reduced vehicle use, transition to non-motorized travel, improved vehicle technology, and eased traffic conditions. Two multilevel mixed-effect Tobit regression models were developed to identify the factors affecting CO<sub>2</sub> emissions from personal travel for each year. The results suggest that some cohorts (e.g. males, 30s and 40s, small households, high-income groups, car owners) are likely to produce more CO<sub>2</sub> emissions from personal travel consistently in 2006 and 2016. The changes in the estimated coefficients between the two years were also evaluated statistically, suggesting that some population groups (e.g. elderly, large households) are likely to reduce CO<sub>2</sub> emissions from personal travel. The reduction in CO<sub>2</sub> emissions by these groups may be correlated with continued investment in the public transportation system in Seoul. These findings provide an opportunity to gain a clear understanding of travel behavioral changes related to CO<sub>2</sub> emissions from personal travel, with insights toward sustainable development.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 8","pages":"Pages 662-679"},"PeriodicalIF":3.1,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Have low emission zones slowed urban traffic recovery after Covid-19?","authors":"Daniel Albalate , Xavier Fageda","doi":"10.1080/15568318.2024.2386135","DOIUrl":"10.1080/15568318.2024.2386135","url":null,"abstract":"<div><p>This paper bridges the gap between the literature on the pandemic’s effects on mobility and the literature on the impact of low emission zones (LEZ). Using data for large European cities in the period 2018–2021, we examine whether LEZs may explain differences in the recovery patterns of traffic in European cities after the shock of Covid. Controlling for several city attributes, we examine whether LEZ cities are less congested before and after the pandemic in comparison to non-LEZ cities. LEZs may have been more effective in reducing congestion after the pandemic because the fleet renewal process has slowed down or, alternatively, LEZs may be a proxy of unobservable factors related with attitudes of governments and citizens toward a sustainable mobility. Our results validate the traffic-mitigating role of the LEZ after the Covid-19 pandemic, although such result only holds for the pioneering LEZ cities. Hence, the traffic-mitigating role of the LEZ after the Covid-19 pandemic seems to be related to unobservable attributes that influenced the early decision to implement a LEZ. In this regard, we also find that LEZs may have induced a change in local attributes related to sustainable mobility given that we do not find differences between LEZs decided at the local or regional level.</p></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 7","pages":"Pages 605-617"},"PeriodicalIF":3.1,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Structural characteristics of urban agglomeration transportation networks under sustainable development goals","authors":"Qianya Pian , Ling Zhang , Dequn Zhou , Dan Xia","doi":"10.1080/15568318.2024.2386389","DOIUrl":"10.1080/15568318.2024.2386389","url":null,"abstract":"<div><p>The structural characteristics of transportation networks (SCTN) under sustainable development goals are crucial for the development and construction of urban agglomerations (UAs). Evaluating the SCTN in UAs can be difficult due to the increasing diversity of UAs and the multiple interactive criteria involved. To address these challenges, this paper develops the G-DEMATEL model, a new data-driven model that integrates the λ-step gravity model and the decision-making trial and evaluation laboratory method. This model is then applied to various scales of Chinese UAs. The results demonstrate that: (1) three types of SCTN have developed in UAs, including polycentric, two-centers, and monocentric networks; (2) the transportation networks in UAs exhibit an excess of independent-type cities and a lack of functional differentiation among cities. (3) SCTN are significantly influenced by natural and location conditions such as geography and distance from the central city, and the gravitational effects of provincial capitals are especially significant.</p></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 7","pages":"Pages 618-632"},"PeriodicalIF":3.1,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 the psychological drivers of sustainable transport consumption: The role of Big-Two personality traits","authors":"Md Shahin , Milad Ghasri , Alireza Abbasi","doi":"10.1080/15568318.2024.2376562","DOIUrl":"10.1080/15568318.2024.2376562","url":null,"abstract":"<div><p>Understanding the psychological factors that influence people’s behavior in using sustainable modes of transportation, e.g., public transport, is crucial for promoting environmentally friendly behavior and mitigating climate change. This study examines the impact of the big-two personality traits (stability and plasticity) on households’ auto transport consumption (ATC) and public transport consumption (PTC), and their mediating role in the relationship between socioeconomic factors (e.g., age, income, education, marital status) and transport consumptions (i.e., ATC and PTC). A triple-hurdle model, including two binary logit models and one structural equation model, is developed using a comprehensive national household survey in Australia. Findings reveal that the stability trait is positively related to ATC (<em>b</em> = 0.253, <em>p</em> < 0.10) and negatively to PTC (b = −0.372, <em>p</em> < 0.001), while the plasticity trait shows a positive association with PTC (<em>b</em> = 0.351, <em>p</em> < 0.001) and is negatively related to ATC (b = −0.296, <em>p</em> < 0.001). The developed analytical framework supports policymakers to identify individuals with stability and plasticity traits, using socioeconomic factors, and to design more-targeted interventions to incentivize specific individuals to use public transport, thus contributing to global efforts toward a sustainable future.</p></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 7","pages":"Pages 547-561"},"PeriodicalIF":3.1,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. C. P. Wong , Jintao Ke , W. Y. Szeto , P. L. Mak
{"title":"Multiple shared mobility services under competition: Empirical evidence for public acceptance and policy insights to sustainable transport","authors":"R. C. P. Wong , Jintao Ke , W. Y. Szeto , P. L. Mak","doi":"10.1080/15568318.2024.2384613","DOIUrl":"10.1080/15568318.2024.2384613","url":null,"abstract":"<div><p>Traffic congestion and roadside emissions are severe and common problems in metropolitans. As a promising and sustainable solution to mitigating these vehicle externalities, shared mobility reduces the required vehicle fleet size for serving a given level of demand by sharing a vehicle among travelers with similar schedules and itineraries. Public acceptance is the key to the success of shared mobility development. This study investigates the acceptance of drivers and passengers of two typical competing shared mobility modes, car-pooling and taxi ride sharing, taking Hong Kong as a case study. For an empirical evaluation, an on-street stated preference survey was conducted, and 829 respondents, including 257 private car owners and 572 non-private car owners were interviewed about their travel preferences in three given hypothetical scenarios. In total, 2,487 observations were collected for calibrating two proposed logit-based discrete choice models for drivers and passengers. The model results show that the out-of-pocket cost, in-vehicle travel time, and out-of-vehicle time are key factors influencing travelers’ decisions toward car-pooling and taxi ride-sharing. An equilibrium model was proposed and an iteration solution procedure was applied to obtain a convergent solution to balance the demand and supply of drivers and passengers for car-pooling services. Furthermore, sensitivity analyses were carried out to examine the effects of variations in proportions of travel cost and taxi fare shared by passengers for car-pooling and taxi ride-sharing, and to assist in the formulation of relevant transport policies.</p></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 7","pages":"Pages 562-575"},"PeriodicalIF":3.1,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distributions of walking access to public transport in Melbourne, Australia – Evidence on acceptable and tolerable walking distances","authors":"Michael A. P. Taylor , Sekhar Somenahalli","doi":"10.1080/15568318.2024.2385641","DOIUrl":"10.1080/15568318.2024.2385641","url":null,"abstract":"<div><p>The international literature indicates a wide interest in the distances public transport users walk to access their services. Urban and transport planners seek information on acceptable walking distances (AWD) in the provision of minimum levels of service coverage. This study uses a large database from Melbourne, Australia, to analyze trip length frequency distributions (TLFD) of walking access and egress to consider AWD in a multimodal public transportation system and to examine tolerable walking distances (TWD). AWD provides a guide to planners about stop/station locations for desirable minimum service coverage. TWD is a representative maximum walking distance for assessing the effectiveness of that service provision and can be used in conjunction with AWD. A statistical distribution function for walking distances can facilitate the use of regional values for AWD and TWD in transit service planning. The Burr Type XII distribution is shown to provide a good fit to the observed data. This provides a valuable tool for the analysis of percentile walking distances and suggests a general framework for the study of AWD and TWD in any city or region.</p></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 7","pages":"Pages 576-588"},"PeriodicalIF":3.1,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}