{"title":"Last mile delivery with drones: A carbon emissions comparison","authors":"Jay R. Brown , Maxim A. Bushuev","doi":"10.1080/15568318.2024.2407150","DOIUrl":"10.1080/15568318.2024.2407150","url":null,"abstract":"<div><div>The development and potential adoption of drones or unmanned aerial vehicles as delivery vehicles creates incredible opportunities and unique challenges for last mile delivery. This research first presents a last mile delivery fleet model with drones that can be further modified and expanded over time. The model shows the optimal number of drones needed based on deterministic or stochastic demand using both traditional charging and battery swapping. The research then compares the carbon emissions of four delivery modes: traditional internal combustion delivery vehicles, all-electric vehicles, plug-in hybrids, and drones within the context of last mile delivery. Findings reveal that the breakdown of carbon emissions by delivery modality depends on parameter assumptions, ambient temperature, delivery radius, electric grid pollution rate, and number of customers.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 9","pages":"Pages 791-802"},"PeriodicalIF":3.1,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530281","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}
Dimitri Marincek , Patrick Rérat , Virginie Lurkin
{"title":"Cargo bikes for personal transport: A user segmentation based on motivations for use","authors":"Dimitri Marincek , Patrick Rérat , Virginie Lurkin","doi":"10.1080/15568318.2024.2402753","DOIUrl":"10.1080/15568318.2024.2402753","url":null,"abstract":"<div><div>Building on the success of e-bikes, sales of e-cargo bikes are rapidly increasing in several countries. Cargo bikes fill an important gap in the urban transport market by combining the advantages of cycling with the greater transport capacity of a family car. Whereas most research on cargo bikes has focused on logistics, this paper addresses their use for personal transport. It is based on a large-scale survey in Switzerland among both proprietary cargo bike owners (CBO) and users of cargo bike sharing (CBS) (<em>N</em> = 955). A principal component analysis finds 3 families of motivations for using cargo bikes: transporting children, staying active, and reducing car use. Based on these 3 components, we use hierarchical clustering to identify 4 user segments: cargo transporters, enthusiasts, multimodals, and sustainable parents. Our results suggest that owned and shared cargo bikes are complementary and have the potential to attract new audiences to cycling and reduce car use. They could become a central component in a low-carbon/post-car urban mobility strategy. However, user experiences indicate that lacking safety, road infrastructure and parking provisions remain barriers to wider cargo bike use. We conclude by proposing a future research agenda for cargo bike research.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 9","pages":"Pages 751-764"},"PeriodicalIF":3.1,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530283","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}
Longyu Li , Jizi Li , Justin Z. Zhang , Yaoyao Ku , Shichang Liang
{"title":"Driving the future: How value retention rate shapes electric vehicle adoption","authors":"Longyu Li , Jizi Li , Justin Z. Zhang , Yaoyao Ku , Shichang Liang","doi":"10.1080/15568318.2024.2402754","DOIUrl":"10.1080/15568318.2024.2402754","url":null,"abstract":"<div><div>The government has been promoting the adoption of electric vehicles (EVs) in recent decades. However, challenges still exist in encouraging widespread use of EVs, which may impact potential buyers. Aside from the well-known barriers related to purchasing, the rate at which the value of EVs is retained over time may also influence consumers’ decisions. This article presents a model based on cue utilization theory to understand how consumers respond to the value retention rate when considering purchasing an EV. The model also examines how perceived quality and two intrinsic cues - brand reputation and the frequency of new product releases - influence this response. The findings indicate that the value retention rate influences consumers’ assessments and purchase decisions, particularly when the intrinsic cues are absent or insufficient. These findings have implications for government policies, EV manufacturers’ promotion strategies, and operational management.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 9","pages":"Pages 765-776"},"PeriodicalIF":3.1,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530280","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":"Am I really willing to use my electric vehicle sustainably? A study on the charging preferences of electric vehicle users","authors":"Francisco J. Bahamonde-Birke , Dennis M. Ernst","doi":"10.1080/15568318.2024.2399783","DOIUrl":"10.1080/15568318.2024.2399783","url":null,"abstract":"<div><div>As, in most countries, electricity cannot be efficiently and practically stored at a systemic level, charging EVs during peak hours implies that additional energy has to be generated (relying almost exclusively on fossil sources) to cover the additional demand during that time window. This article reports the results of an SP-study, in which EV-owners were confronted with the option of charging their EVs at home (for a fixed known price) or at a publicly accessible charging station with charging price variability (as well as other features of EV charging). The results of the behavioral experiment show that EV-users exhibit a high willingness to accept alternative compensations for not charging EVs during peak-hours and that small monetary incentives as well as shorter access times, a guaranteed charging place, or fast charging could all efficiently promote a shift in the charging patterns toward a more sustainable behavior.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 9","pages":"Pages 744-750"},"PeriodicalIF":3.1,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530284","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}
{"title":"Digital platforms for sharing and booking electrical vehicle charging infrastructure","authors":"Lisa Govik","doi":"10.1080/15568318.2024.2407139","DOIUrl":"10.1080/15568318.2024.2407139","url":null,"abstract":"<div><div>Making road transport more sustainable is a vital part in reducing emissions, where the transition to electric freight vehicles (EFVs) are important. In this transition, there is a need for available electric vehicle charging infrastructure (EVCI). Many logistic companies are installing their own EVCI, which is primarily used during the night. This study explores how providers could share and users book charging on digital platforms for EFVs by conducting a qualitative study of a pilot project for sharing. The study shows that providers need financial incentive, available EVCI while not having charging as a primary business model. Users tend to have uncertainties about charging, avoid public charging, and would benefit from driver support. A digital platform enables a wide range of actors to participate, while providing payment solutions and vehicle identification. The study presents several sustainability drivers and barriers. Economic drivers include increased revenues, low-cost charging, and a possibility to invest in cheaper vehicles. Environmental drivers include improved usage, potentially fewer batteries, and supporting the sustainability transition. Social drivers include a community of sharing, easy comparison, and improving predictability. Economic barriers include limited demand, limited usage, and a lack of interest from the provider. Environmental barriers include the risk of under-utilization, overcapacity where many providers install EVCI, and the risk of stressing the grid when utilizing fast charging for large trucks. Social barriers include uncertainty about reliability, grid limitations, and a lack of trust of actors in the system.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 9","pages":"Pages 777-790"},"PeriodicalIF":3.1,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530285","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}
{"title":"Redefining the skies: How sustainable aviation fuel alters airline cost structure and market dynamics","authors":"Fecri Karanki","doi":"10.1080/15568318.2024.2397642","DOIUrl":"10.1080/15568318.2024.2397642","url":null,"abstract":"<div><div>Forecasts by the FAA in 2022 suggest that air travel will consistently increase over the next two decades, further escalating greenhouse gas emissions. Sustainable Aviation Fuel (SAF) is pinpointed as a potent solution for greenhouse emissions. However, its higher costs compared to conventional fuels present a challenge for its adoption. We examine the economic ramifications of SAF adoption on U.S. airlines by simulating two distinct scenarios. Our results reveal a 5.9% rise in the marginal costs (MC) of Full-Service Airlines (FSAs) with a 20% SAF blend while Low-Cost Carriers (LCCs) experience only a 1% increase under the same scenario. Alternatively, using a SAF blend that is 20% cheaper in a 50–50 ratio results in an 8.8% increase in the MC of FSAs, compared to just a 2% rise for LCCs. These scenarios suggest that the cost convergence of business models observed in recent years is unlikely to be achieved.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"18 8","pages":"Pages 695-703"},"PeriodicalIF":3.1,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320290","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}
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}