{"title":"Disparities in ridehailing travel times for accessing non-work destinations","authors":"","doi":"10.1016/j.trip.2024.101258","DOIUrl":"10.1016/j.trip.2024.101258","url":null,"abstract":"<div><div>We contribute to the literature on new mobilities by measuring spatial disparities in travel times for accessing essential non-work destinations via ridehailing. We focused on healthcare, restaurants, and grocery destinations in Chicago. Data from Chicago ridehailing providers, which included detailed information about all realized ridehailing trips in Chicago, were used to derive mean travel times by ridehailing for each census tract. Inspired by the gravity-based model, we calculated an inverse travel time index based on cumulative travel times for each census tract where ridehailing trips occurred. To understand the disparities in travel times, we compared the inverse travel time index for ridehailing and transit in the same census tracts. Then, we applied spatial autoregressive regression to examine the effects of various sociodemographic factors. The results suggested that the inverse travel time index was preferable in tracts with a higher household income and a lower percentage of minority populations. Also, disparities in travel times tended to be greater via ridehailing than transit. This study sheds light on disparities related to ridehailing and how we could improve access to essential destinations for underserved and underrepresented populations and communities. Policy implications include subsidizing disadvantaged users who lack reliable transportation options, regulating ridehailing prices, increasing the provision of essential destinations for underserved areas, and maintaining the quality of public transit services.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Electric mobility investment in the power and transport sector coupling context: Lessons from Argentina, the Philippines, Poland and Romania","authors":"","doi":"10.1016/j.trip.2024.101256","DOIUrl":"10.1016/j.trip.2024.101256","url":null,"abstract":"<div><div>Many developing countries are at a crucial juncture in road transport electrification with electric mobility because they have limited economic capacity to implement government policy support and financial mechanisms that have spurred the capital-intensive electric mobility growth in developed countries. Attracting private sector investments remains a viable option for developing countries. While investors have identified opportunities to invest in developing countries, it remains to be seen which countries to prioritise, considering the complexities involved in investment decision-making despite the availability of myriad investment appraisal tools. This paper contributes to this academic and policy debate. With a power and transport sector coupling viewpoint, we explain the interaction of the power and transport sectors in the context of decarbonisation and digitalisation to identify developing countries that could be considered for private sector investment in electric mobility. Then, we apply our framework to case studies of the Philippines, Argentina, Romania, and Poland. We argue that countries with wholesale power markets and wholesale and retail power markets could attract electric mobility investment. We offer policy recommendations to stakeholders interested in electric mobility investment issues in developing countries.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal bus reassignment considering in-vehicle overcrowding","authors":"","doi":"10.1016/j.trip.2024.101260","DOIUrl":"10.1016/j.trip.2024.101260","url":null,"abstract":"<div><div>Public transport services are often designed to meet travel demand under regular situations. However, severe weather conditions (e.g., heavy rainfall, snow, thunderstorms, etc.) can adversely impact the service operation, leading to problems such as in-vehicle overcrowding, delays, and trip cancellations. In this study, we propose a novel approach to address in-vehicle overcrowding issues during weather disruptions. In this approach, we dynamically reassign buses from low-demand trips to lines where the expected demand exceeds the capacity threshold of the in-service buses. This way, the existing capacity is utilized more efficiently without requiring additional vehicles or drivers. Considering the shortage of bus drivers in Europe, as well as in the Netherlands, this is a more efficient solution than other alternatives such as deploying additional buses from the depot. Experiments were conducted on a bus network in Enschede in the Netherlands. The results showed that in several disrupted situations, we can reassign bus trips to overcome overcrowding issues without significant negative impacts on the operation or passengers. However, the approach entails a trade-off between passengers of a canceled trip and an overcrowded trip. Some passengers must wait for the next bus or use other means of transport as a consequence of bus reassignment.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Decision support tools for effective bus fleet electrification: Replacement factors and fleet size prediction","authors":"","doi":"10.1016/j.trip.2024.101267","DOIUrl":"10.1016/j.trip.2024.101267","url":null,"abstract":"<div><div>The electrification of public transit systems represents a crucial strategy for advancing sustainable urban mobility. Thus, the development of efficient charging infrastructure and the optimization of fleet size emerge as major challenges for transit agencies. Switching from diesel buses to electric buses (Ebuses) will require increasing the fleet size to accommodate the limited range of Ebuses and the significant idle time required for charging. This study develops prediction models to estimate the required Ebus fleet size to maintain same transit route services for the case of overnight depot charging, using data from Ebuses operating in the City of Toronto. The analysis reveals that Ebuses equipped with diesel auxiliary heaters are less sensitive to temperature fluctuations compared to battery-heated buses. Thus, the required replacement factor, indicating the additional fleet needed to switch from diesel to Ebuses, varies depending on the heating system. Specifically, diesel-heated buses require a lower replacement factor (1.3) compared to battery-heated buses (1.4), with winter conditions exacerbating this disparity. Furthermore, the study employs vehicular, operational, route, and external variables to develop the prediction models. Additionally, SHAP analysis is utilized to interpret the machine learning models and evaluate the influence of the inputs on the required fleet size. The results show that the total distance traveled, and the average temperature are the primary factors affecting the fleet size for Ebuses using their batteries for heating, whereas the total distance traveled, and the average bus speed are the primary factors affecting the fleet size for Ebuses with diesel auxiliary heaters.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An empirical analysis of Saudi Arabian women’s intentions to adopt hydrogen fuel cell cars","authors":"","doi":"10.1016/j.trip.2024.101269","DOIUrl":"10.1016/j.trip.2024.101269","url":null,"abstract":"<div><div>To successfully execute demand-side tactics for alternative energy, such as hydrogen, it is essential to thoroughly comprehend the preferences and circumstances that stimulate client demand. Thus far, studies have been scarce on female customers’ opinions, intentions, and behaviour towards various products in the Kingdom of Saudi Arabia (KSA). However, no studies have been conducted thus far, specifically on hydrogen fuel cell vehicles (HFCVs). Our study examines the key elements influencing women’s inclination to embrace HFCVs in the KSA. This study utilized an online questionnaire to gather data from 227 prospective female clients, thus conducting empirical research. To ascertain women’s intentions towards hydrogen fuel cell automobiles, we employed a structural equation modelling technique utilizing Smart-PLS 4.1. The findings of our study demonstrate that the perceived advantages, perceived barriers, public opinion, and government initiatives significantly influence the desire of women in Saudi Arabia to use HFCVs. The study suggests that the government should gather all pertinent stakeholders, including vehicle manufacturers, hydrogen producers, research institutes, and organizations, to address the challenges and accelerate the advancement of the hydrogen transportation system.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Drones for automated parcel delivery: Use case identification and derivation of technical requirements","authors":"","doi":"10.1016/j.trip.2024.101253","DOIUrl":"10.1016/j.trip.2024.101253","url":null,"abstract":"<div><div>Drone-based parcel delivery is a rapidly growing domain posing many technological and operational challenges. Drone technologies have been under increasing levels of investigation and development over the past years. Since the realization of drone-based delivery can only be economically feasible at large scales, it requires processes that address the outstanding challenges holistically. However, the majority of research focuses on individual aspects such as environmental perception, route planning, operational design, and business models without addressing the challenges in the overall system. This paper conducts a quantitative analysis of the requirements for identified use cases that are considered relevant for the upcoming future. We provide a comprehensive technology overview and derive requirements and specifications for the targeted use cases that are not fulfilled by the current state-of-the-art. The use cases are not only related to last-mile delivery but also long-distance (hub-to-hub) logistics as well as courier and express delivery.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using crowd-sourced traffic data and open-source tools for urban congestion analysis","authors":"","doi":"10.1016/j.trip.2024.101261","DOIUrl":"10.1016/j.trip.2024.101261","url":null,"abstract":"<div><div>Traffic congestion in urban areas poses significant challenges to city dwellers and consultants advising government. This study explores innovative methods to monitor and control traffic congestion, focusing on Al Ain city in the United Arab Emirates. Using the R Programming language and harnessing crowdsourced traffic information from HERE and Google Maps, the research delves into spatial data analysis. The methodology employed in this study builds on the previously applied congestion modeling methods for cities like Windsor, Toronto, and New York. The study focuses on Al Ain, addressing the scarcity of crowdsourced information-based congestion modeling research in the Middle East. The study details how to obtain and deploy crowdsourced traffic data, speed and jam factors, for a comprehensive visualization of the urban traffic congestion. For example, in the case of Al Ain, analysis showed an average traffic speed of 43 km per hour in Al Ain, where infrastructure could otherwise allow an average traffic speed of up to 51 km per hour under free flow conditions. The study findings highlight how traffic conditions, rather than speed limits, cause traffic flow disruptions in the city, which can inform traffic regulations. The study’s high-confidence real-time data emphasizes the reliability of crowdsourced traffic flow data. This research demonstrates the applicability of open-source traffic information for congestion modeling in the UAE, and establishes a replicable methodology for other urban areas worldwide, contributing significantly to the modeling methods.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluating the accessibility of collective fixed-route paratransit service in developing cities: A case study of Djibouti","authors":"","doi":"10.1016/j.trip.2024.101270","DOIUrl":"10.1016/j.trip.2024.101270","url":null,"abstract":"<div><div>This study provides a comprehensive evaluation of accessibility for collective fixed-route paratransit services in Djibouti, examining current conditions through diverse data sources, including geographic information systems and household surveys. The proposed accessibility model considers walking time, waiting time, and coverage ratio. It correlates the decrease in accessibility based on walking time with the reduction in paratransit ridership. To assess the impact of waiting time, the model compares an acceptable waiting time (5 min) with the average waiting time of the service. A threshold walking time of 8 min defines the service coverage area. Results indicate that the collective fixed-route service covers only 39.49% of the city’s urban area. Although accessibility is higher in the city center, the outskirts face substantial accessibility gaps. This analysis not only reveals the spatial distribution of accessibility within the city but also highlights areas with urgent improvement needs. The study includes paratransit accessibility maps with color-coded levels of accessibility across the city. These findings contribute to the growing research on paratransit accessibility, emphasizing the integration of spatial and temporal factors for enhanced urban mobility planning. The insights from this research can support evidence-based policy-making and promote sustainable urban development in the region.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Travel behavior before and after COVID-19. A hybrid choice model applied to a panel dataset","authors":"","doi":"10.1016/j.trip.2024.101265","DOIUrl":"10.1016/j.trip.2024.101265","url":null,"abstract":"<div><div>After two decades of psychological research into travel behavior, one would anticipate a thorough understanding of the cognitive processes guiding travel choices. However, the intricate and unpredictable nature of mobility dynamics often obstructs efforts to promote sustainable travel behaviors. While hybrid choice models (HCMs) incorporating latent variables prove invaluable in analyzing travel behavior, there remains a critical need for further exploration into effectively managing these variables. Typically assessed at singular time points, these variables pose challenges in analyzing individual characteristics based on their fluctuations. Moreover, deriving actionable policy implications from HCMs is challenging due to the inherent nature of psycho-attitudinal variables, which exhibit limited responsiveness to alterations in alternatives. Only a significant disruptive event could induce notable shifts in individuals’ psycho-attitudinal characteristics. The objective of this paper is to investigate two aspects: i) to study if and how norms, intentions and perceived behavioral control change after a strong shock such as the pandemic, and ii) to analyze the differences in the HCMs results estimated by using data collected before and after the shock. The study involves a panel dataset gathered during a VTBC Program which involved three phases, two of which before and straight after the first lockdown. Our results show that norms were less impacted by COVID-19 and lost importance post-lockdown. There was a notable decline in the intention to use sustainable modes and an increase in car usage, with significant differences in perceived behavioral control between those who maintain and those who change their transport modes.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparative Analysis of barriers to Battery electric vehicle adoption between BEV and ICE Users: A case study of Thailand","authors":"","doi":"10.1016/j.trip.2024.101264","DOIUrl":"10.1016/j.trip.2024.101264","url":null,"abstract":"<div><div>The adoption of Battery Electric Vehicles (BEVs) is pivotal for advancing sustainable transportation and reducing environmental impacts. Despite government efforts, BEV adoption in Thailand remains below expected levels. This study identifies and evaluates the barriers to BEV adoption through a comprehensive survey administered to 3,069 respondents across Thailand. Employing Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), the study categorizes and quantifies these barriers, offering insights into the factors that hinder consumer acceptance of BEVs. The results reveal that ’Vehicle attributes’, including concerns about efficiency, range, and reliability, is the most significant barrier for both BEV and ICE users. However, the order and strength of subsequent barriers differ between these groups. For BEV users, ’Public Data’ and ’Lack of Benefits’ follow as major concerns, while ICE users prioritize ’Financial Barriers’ and ’Consumer Concerns’. Notably, BEV users generally perceive these barriers more strongly across all categories. Based on these findings, this study proposes targeted policy recommendations aimed at addressing these barriers for both current and potential BEV users. Enhancing vehicle attributes characteristics, expanding charging infrastructure, implementing educational campaigns, revising fiscal incentives, and rebranding EVs through effective marketing strategies are critical measures suggested. These interventions are designed to align with both BEV and ICE user expectations and catalyze the broader acceptance and adoption of BEVs in Thailand. This research not only contributes to the academic discourse on sustainable transportation but also provides actionable insights for policymakers and industry stakeholders to accelerate the transition to electric mobility.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}