The COVID-19 pandemic has had unprecedented impacts on the way we get around, which has increased the need for physical and social distancing while traveling. Shared mobility, as an emerging travel mode that allows travelers to share vehicles or rides has been confronted with social distancing measures during the pandemic. On the contrary, the interest in active travel (e.g., walking and cycling) has

From a public transit perspective, the first and last mile (FLM) problem emerges from a lack of adequate connectivity between stations and trip origins and destinations. The empirical literature on FLM travel has shown that passengers travel longer distances to access stations with good transit services. However, previous studies are yet to explore how individual household members interact to find

As a considerable amount of greenhouse gas emissions are caused by the transport sector, the German government has initiated programs for the promotion of electric vehicles (EVs) and the installation of charging infrastructure. A harmonized solution for vehicle authentication, payment methods, and pricing models is required since currently available charging stations are highly heterogeneous resulting

The COVID-19 pandemic has presented numerous, significant challenges for elderly in their daily life. In order to reach a deeper understanding of the feelings and thoughts of the elderly related to their possibilities to travel and engage in activities during the pandemic, this study takes a qualitative approach to exploring the views of the elderly themselves. The study focuses on experiences during

Public transit may be a low-cost and environmentally friendly way for older adults to maintain independent mobility as they age, and yet little is known about older adults’ transit travel behaviours or travel satisfaction. To address this research gap, this paper explores older people’s (60+) responses to a travel survey on the Hamilton Street Railway (HSR). Distributed in 2019 to residents of Hamilton

High market penetration of autonomous vehicles (AVs) and connected-autonomous vehicles (CAVs) is expected to impact transportation network performance, which is an important determinant of residential location decisions, especially for households who commute to work by personal vehicle. This study examines and compares the impacts of privately owned AVs and CAVs on the location and commute characteristics

Improving transport accessibility for people with disabilities (PWD) is crucial, given that this group is more likely to encounter transport-related exclusion (Lucas, 2012). Previous studies have shown that PWD experience numerous difficulties when travelling by public/para-transit (Bezyak et al., 2017; Park et al., 2022). If public transit services and policies are not improved to remove barriers

India has one of the highest levels of gender inequality in the world. Work participation rate of women is among the lowest, with a wide gender gap. There are seclusion norms that restrict the mobility of women outside the home. However, transport literature in India has not explored the impact of this lack of autonomy on gender differences in travel demand. I use 2019 population-representative nationwide

This paper provides insight on the factors associated with shared micromobility usage in urban areas exploring the influence of socio-demographic factors and elements of the built environment at a fine level of analysis using spatial regression techniques. In this context, this study aims to extend existing knowledge on the subject differentiating from existing literature in three aspects: 1) conducting

Underutilised charging stations can be a bottleneck in the swift transition to electric mobility. This study is the first to research cooperative behaviour at public charging stations as a way to address improved usage of public charging stations. It does so by viewing public charging stations as a common-pool resource and explains cooperative behaviour from an evolutionary perspective. Current behaviour

The value-belief-norm (VBN) theory has been widely used to describe pro-sustainability behavior. Despite being used to examine issues of sustainable and public transport behavior, research using the VBN has largely overlooked the pro-environmental behavior of cyclists and walkers, which is extremely significant given the role of active transport in environmental and human health. Therefore, this study

Abstract not available

Due to the lack of instructions and regulations, pedestrian crossing areas and routes are usually uncertain at mid-blocks without crossing facilities, resulting in higher crossing risks. Using Unmanned Aerial Vehicle and roadside camera data, this study investigates pedestrian crossing behaviors at mid-blocks without crossing facilities by proposing metrics for characterizing pedestrian crossing routes

In post-COVID era, more agencies will seek to incorporate long-distance or overnight travel into their travel forecasting. This paper leverages a unique survey dataset (n = 440) that queried participants’ propensity to make simultaneous or bundled decisions on mode and destination location for their most recent overnight out-of-town personal trip. The random representative sample of Vermont residents

The completion of a vehicle purchase is a major decision point which presents substantial financial implications for low-income households. As compared to the expansive bodies of literature on the low-income housing search and the relationship between travel behavior constraints and intra-household race and sex/gender dynamics, literature on the sociodemographic drivers influencing the vehicle search

Activity-based modeling for travel demand forecasting have mainly focused on out-of-home activities. However, out-of-home (OH) and in-home (IH) activities are closely related decisions. For example, individuals working-from-home for longer duration are less likely to make commute trips to the workplace. Furthermore, COVID-19 has forced individuals to replace their OH with IH activities, which further

This study examines the school travel mode of children and youth students (ages 7 to 18) in Singapore. Using a large crowdsensing dataset the paper focuses on minute-by-minute decision-making of those students living within 2.5km of school. Data-driven methods are employed in order to identify students’ chosen transport mode (car, walking, taking bus or riding metro). Furthermore, we present attributes

Shared spaces and in particular pedestrians-cyclists shared infrastructures are commonly implemented in many modern cities. The co-existence of different categories of users creates several challenges that need to be addressed, while it is essential to identify which factors affect the quality of service (QOS) that both pedestrians and cyclists perceive when using such infrastructures. For this purpose

Daily commuting characteristics were highly affected by the COVID-19 pandemic, since restriction of the movement of people was one of the main preventive measures adopted. Understanding of the effects that the pandemic had on mobility is essential to help in mitigating the problems arising from this crisis, while also providing an opportunity for the implementation of sustainable policies in the post-pandemic

Consumer reactions to COVID-19 pandemic disruptions have been varied, including modifications in spending frequency, amount, product categories and delivery channels. This study analyzes spending data from a sample of 720 U.S. households during the start of deconfinement and early vaccine rollout to understand changes in spending and behavior one year into the pandemic. This paper finds that overall

Hazard-based duration models have been successfully implemented to study event durations across many disciplines. This paper focuses on integrating – for the first time, to the authors’ knowledge – the hazard-based duration modelling method into a novel bivariate framework while accounting for the cross-equation error correlation, endogeneity, unobserved heterogeneity, and unbalanced panel effects

Carpool-style ridesharing, compared to traditional solo ride-hailing, can reduce traffic congestion, cut per-passenger carbon emissions, reduce parking infrastructure, and provide a more cost-effective way to travel. Despite these benefits, ridesharing only occupies a small percentage of the total ride-hailing trips in cities. This study integrates big trip data with machine learning and eXplainable

Throughout the COVID-19 pandemic, public transport has been one of the hardest hit transport modes, losing ridership due to fear of contagion. This can partially be explained by the lack of preparedness in the sector to a pandemic scenario, as only few cities had epidemic contingency plans for the transport sector. To anticipate disruptions caused by future crises, we look at the preparedness and the

Transportation research has paid deeper attention to exploring factors affecting leisure activities and their related travel. Motivated by the influence of social capital on leisure activity behavior, this paper proposes a theory that leisure activity variety is an instrumental outcome and thus affected by instrumental social capital more than expressive social capital. The theory underlines two hypotheses

Detecting human mobility community structures is an important means to reveal urban spatial structures. Due to the circadian clock, human mobility has a daily rhythm, representing dynamic interactions among urban functional areas at different times of the day. However, few community detection methods have been developed by explicitly considering such daily rhythms of human mobility. To fill the gap

Mobility as a Service (MaaS) has been gaining popularity as a result of massive information and communication technology development in the transport sector. Studies examining mobility bundles and the factors behind their uptake have been published in recent years. Current paper provides a systematic literature review focusing on the socio-technical factors related to the adoption of MaaS and the creation

The literature on excess commuting has grown significantly over the past three decades. However, there are still some important open questions about the resulting statistics. Despite researchers proposing several commuting benchmarks and excess metrics, there is poor comparability between empirical studies. Many studies use average trip length to evaluate commuting efficiency of the whole region, while

How e-shopping affects shopping trip frequency and travel time has attracted considerable attention from scholars during the last decades. However, considering trip frequency and travel time in isolation hides two important issues: (i) the relevance of shopping purposes compared to the person’s total daily travel; and (ii) the potential spatiotemporal constraints to shopping trips (e.g., working hours

In the effort to counteract problems associated with the current carbon intensive transport system, app-based tools persuading mobility behaviour change have emerged worldwide. Most of such apps adopt a gamified approach and motivate behaviour change through external extrinsic motivational factors such as real-life prizes, that are attributed based on the distance travelled by non-car transport modes

Public transit agencies around the world are increasingly using bus network redesigns (BNRs) to address ongoing ridership declines, but little is known about the equity impacts of these redesigns on vulnerable populations most likely to use transit to meet their daily needs. Despite Federal Transit Administration requirements for public transit agencies to assess the equity impacts of major service

Despite great differentials between urban, peri-urban and rural experiences, little research on demand responsive transport (DRT) has been conducted in peri-urban settings. This paper explores the influence of peri-urban area (PUA) conditions on the design and the operation of DRT and the resulting demand patterns and modal shifts. It uses a combination of a trip dataset and a survey of users and non-users

Autonomous buses can improve the efficiency of public transportation and offer great benefits for developing sustainable mobility transportation. To realise the potential of autonomous buses in public transportation, understanding the public’s intention to use the new technology-based mobility concept is necessary. Therefore, this study synthesises three theories to explain public intention to use

A quantitative understanding of people’s mobility patterns is crucial for many applications. However, it is difficult to accurately estimate mobility, in particular during disruption such as the onset of the COVID-19 pandemic. Here, we investigate the use of multiple sources of data from mobile phones, road traffic sensors, and companies such as Google and Facebook in modelling mobility patterns, with

This paper examines how household structure affects gender differences in out-of-home time use, including time spent on travel and time spent at destinations, among full-time workers in America. The research revisits the topic of gendered travel behavior in the context of increasingly diversified American households, which had shifted family roles and imposed complex challenges in work-life balance

Growing electric mobility makes it difficult for electric vehicles (EVs) to charge adequately while charging infrastructure capacities are limited. Due to the prolonged charging times, precise planning is needed, which necessitates knowing the availability of charging stations. In addition, inconsistencies in charging facilities and illogical charging arrangements cause partial queuing and idling of

The COVID-19 pandemic has affected people’s lives throughout the world. Governments have imposed restrictions on business and social activities to reduce the spread of the virus. In the US, the pandemic response has been largely left to state and local governments, resulting in a patchwork of policies that frequently changed. We examine travel behavior across income and race/ethnic groups in Los Angeles

Drawing on two Southern California neighborhoods, this paper assesses children’s perceptions of the risks of walking to school in urban and low-income communities of color, balanced against the expected benefits of child independent mobility. Quantitatively-estimated relationships between children’s travel modes and environmental observations show that those who walk to school – especially those who

Travel tallies are administered by elementary, middle, and high schools to collect data that measure how students arrive and leave school each day. In this study, a new data collection method using a quadcopter drone was examined. For comparison purposes, participatory student tallies and drone videos were collected on the same day, and the effectiveness of each method was then compared. The study

Transport workers were among the most affected by the COVID-19 crisis. In several countries, public transport and delivery drivers were considered essential workers during the pandemic, while the demand changed dramatically. In this context, little is known about the actual effects of the pandemic on the lives of drivers, and whether those effects depend on the type and formality of the corresponding

Joint activities, despite their importance, remain poorly explained in travel behavior analysis due to lack of empirical data. This study, as an alternative to traditional travel behavior surveys (i) estimates joint activity detection rates using Google Maps Location History data under experimental conditions, (ii) quantifies the effect magnitude of factors affecting detection probability, and (iii)

COVID-19, which has spread since late 2019, has caused drastic changes in transportation use. A few studies have already addressed the relationships between COVID-19 and transportation mode choice. However, in most cases, the analysis has been based on transit ridership during the early phases of the COVID-19 pandemic. In addition, few studies have focused on public bike use before and after COVID-19

There has been an increasing share of older workers in America’s workforce as Baby Boomers continue to age into this group. This raises questions about what their local labor markets look like in space and how they differ from Millennials and Generation Xers who are also active in today’s workforce. However, even though significant generational (or age) differences in commuting distance have been well

The positive utility of travel (unrelated to the destination) and travel satisfaction have been discussed in travel literature, but a research gap exists in comparing if and how travel benefits might differ among commuting, shopping, leisure, and undirected trips (those without a destination, undertaken for the purpose of the trip itself). By specifying the varying benefits of each trip type (or determining

Financial poverty, mobility and social participation are interrelated. This nexus makes old-age poverty a highly relevant issue in terms of transport-related social exclusion in an ageing society. To understand how financial poverty affects older people’s travel practices and how they cope with their limited financial resources, we conducted qualitative interviews with low-income older people (aged

Transportation challenges are important barriers for persons with disabilities (PWD) to participate in professional, social and economic life. This study builds further on previous literature about the transportation problems of PWD by not only mapping in detail the perceived mobility barriers of PWD with various types of disabilities and for different travel modes, but also investigating their own

Although Hyperloop rail, a revolutionary mode of intercity passenger transport, has received considerable attention on YouTube, little is known about the extent to which potential travelers trust both YouTube content and the proposed Hyperloop transit service. The purpose of this study is to examine the effect of YouTube coverage on trust in, attitude toward, and risk perception of Hyperloop travel

The present study identifies the determinants of traffic crashes as well as the role of crash experiences in mode choice when commuting to school in Can Tho, a medium-sized city in Vietnam, based on self-reported travel behavior data. In Vietnamese medium-sized cities, the fatality rate has been reported to be 8% higher than the national rate and 19% higher than in larger cities. In addition, private

This study examined commute mode choice in a small college town by employing an integrated choice and latent variable (ICLV) model to adequately address the role of attitudinal variables, such as pro-car, pro-bus, and pro-environmental attitudes. The campus commute data (n = 554) came from an individual travel survey of the faculty and staff at the University of Illinois at Urbana-Champaign. The ICLV

This paper presents results of a unique stated choice (SC) experiment to uncover the determinants of grocery shopping channel choice during the first wave of COVID-19 infections, where the most restrictive containment measures were in place. The choice sets were framed under regular and pandemic conditions, allowing for the estimation of pandemic-specific effects for each of the choice attributes.

The COVID-19 pandemic and the consequent travel restrictions have had an unprecedented impact on the air travel market. However, a rigorous analysis of the potential role of safety perceptions and attitudes towards COVID-19 interventions on future air passenger choices has been lacking to date. To investigate this matter, 1469 individuals were interviewed between April and September 2020 in four multi-airport

The need to understand the influence of the COVID-19 pandemic on the long-term travel behaviour of people has never been higher as a consequence of the second wave of pandemic. In this context, the current study aims to understand the willingness of people to use sustainable modes of transportation including shared modes of transport, and non-motorized transport, against non– shared modes of transport

Cyclists’ phone use can cause distractions and impose risks towards traffic safety. To prevent phone-related distractions, the Netherlands introduced a ban on handheld (HH) phone use for cyclists in July 2019. The effects of traffic rules on phone use and their underlying mechanisms are, however, uncertain. Comparing survey results from the Netherlands before (N = 553) and after (N = 484) the ban,

Car use creates significant externalities for urban residents worldwide. City characteristics such as the configuration of the urban landscape and street network likely influence the use and attractiveness of automobiles, especially in rapidly urbanizing areas such as Latin America. The understanding of factors associated with motorization can inform planning measures to reduce car usage, and to promote

Life, including working style and travel behaviour, has been severely disrupted by the COVID-19 pandemic. The unprecedented number of work-from-home (WFH) employees after the outbreak of COVID-19 has attracted much scholarly attention. As it is generally believed that WFH arrangements are not ephemeral, it is imperative to study the impacts of WFH on travel behaviour and its impact on sustainable transport

Whereas most shared mobility providers offer one type of shared electric or conventional vehicle, electric mobility hubs, or eHUBs, offer users access to a range of modes in publicly accessible locations. An apparent strength of eHUBs lies in their appeal to different user groups that may have vastly different mobility needs. However, to date, there is little evidence to support this claim. Consequently

Most studies on dynamic ridesharing, which allows any driver to ferry separate passengers with overlapping routes in a single trip, have focused on developing efficient algorithms. While dynamic ridesharing demands extensive computing infrastructure, this paper suggests a simple taxi ridesharing approach that allows only passengers from certain taxi hotspots to share a ride with another who has a similar

This study explores travelers’ preference for shared micromobility in the context of last-mile travel from shared parking lots to their final destination in the city center. Based on the results of the stated preference experiment and error component logit model incorporating latent variables, we found that the preference for shared micromobility is affected by the uncertainty of availability as well

Studies on fatal crashes involving large trucks are typically focused on the examination of injury severity at the personal level rather than the crash level. In this study, instead of adopting the predefined, commonly used rule of transformation of individual injury severity to crash level severity, we develop a data specific transformation approach. Crash-level severity for fatal large-truck involved

Travel mode choice modelling plays a critical role in predicting passengers’ travel demand and planning local transportation systems. Researchers commonly adopt classical Random Utility Models to analyse individual decision-making based on the utility theory. Recently, with an increasing interest in applying Machine Learning techniques, a number of studies have used these methods for modelling travel