Transportation vulnerability, defined as lack of access to transportation resulting in financial, social, or health consequences, reduces quality of life. While research has focused on the relationship between transportation vulnerability and the built environment among adults, youth have received less attention. This study examined the association between transportation vulnerability and school attendance

In-vehicle crowding on public transportation is a serious problem that transportation planners must address. Recent studies have emphasized that in-vehicle crowding impacts travelers’ stress and health, while other studies have investigated how daily travel affects subjective well-being (SWB). Based on the findings of these studies, we provide useful insights into the value of a reduction in crowding

This paper formulates a spatial autoregressive zero-inflated negative binomial model for freight trip productions and attractions. The model captures the following freight trip characteristics: count data type, positive trip rates, overdispersion, zero-inflation, and spatial autocorrelation. The spatial autoregressive structure is applied in the negative binomial part of the models to obtain unbiased

In this paper, two public information campaigns were analysed. These were related to capacity reductions, caused by maintenance work, in two main road tunnels—at Smestad and Bryn in Oslo. The paper analyses the campaigns’ characteristics and their goal fulfilment. The usage of social media to inform and communicate with travelers and inhabitants is highlighted. We find a high level of outreach of the

Traditional approaches to travel behaviour modelling primarily rely on household travel survey data, which is expensive to collect, resulting in small sample sizes and infrequent updates. Furthermore, such data is prone to reporting errors which can lead to biased parameter estimates and subsequently incorrect predictions. On the other hand, mobile phone call detail records (CDRs), which report the

This study examines changes in activity-travel patterns of employed people during a recession by using a tour-based representation of the activity-based approach. The term tour is defined as a sequence of trips and activities that begins and ends at home and contains at least one non-home activity. Tours are classified based on the presence of work and/or non-work activities. We are interested in investigating

Studies have applied single-reference-point or safety margin hypotheses to examine how advanced traveler information affects travel behaviors. However, these theories may fail to fully capture the trade-offs among origin departure time, airport access time, and terminal processing time in terms of airport ground access behaviors. In this study, we developed a tri-reference-point hypothesis and assumed

Ride-hailing (ridesourcing) companies such as Uber, Lyft, and Didi Chuxing have been a disruptive force in the urban mobility landscape around the world during the past decade. In this paper, we analyse the working conditions, earnings, and job satisfaction of ride-hailing drivers. We begin by discussing the regulatory, labour, financial, and urban mobility effects of ride-hailing companies. Then,

Inferring trip destination in smart card data with only tap-in control is an important application. Most existing methods estimate trip destinations based on the continuity of trip chains, while the destinations of isolated/unlinked trips cannot be properly handled. We address this problem with a probabilistic topic model. A three-dimensional latent dirichlet allocation model is developed to extract

Local and regional governments in the U.S. rely increasingly on voter-approved local option sales taxes (LOSTs) to fund transportation capital investments, maintenance, and operations. LOSTs typically present voters with lists of local transportation projects and programs to be funded by a ¼ to 1 percent sales tax increase. Most research on LOSTs are case studies, which make generalizations about LOSTs

Transport systems in China face extreme capacity shortages during the Spring Festival travel season. This study therefore explores traveler’s decision making behavior when booking tickets during this season for a specific origin destination relation. Data are obtained from a mixed RP/SP survey that reflects the ticketing policy in China. Loop questions are programmed inside the questionnaire to investigate

Numerous studies have found that travel attitudes might not only affect travel behavior, but also the residential location choice as people might choose a residential location based on their travel preferences and needs (i.e. transport-related residential self-selection). However, it might also be possible that the residential location and travel behavior influence attitudes towards travel. In this

Endogeneity is a potential anomaly in econometric models, which may cause inconsistent parameter estimates. Transport models are prone to this problem and applications that properly correct for it are scarce. This paper focuses on how to address this issue in the case of strategic urban mode choice models (i.e., the third stage of classic strategic transport models), possibly the main tool for the

Exploiting the full potential of pedestrian infrastructure is becoming critical in many environments which cannot be easily expanded to cope with the increasing pedestrian demand. This is particularly true for train stations as in many dense cities space is limited and expansion is difficult and very costly. In this paper, we investigate how to improve the level-of-service experienced by pedestrians

Simulation studies suggest that pooled on-demand services (also referred to as Demand Responsive Transport, ridesharing, shared ride-hailing or shared ridesourcing services) have the potential to bring large benefits to urban areas while inducing limited time losses for their users. However, in reality, the large majority of users request individual rides (and not pooled rides) in existing on-demand

The limited endurance mileage of battery electric vehicles (BEVs) affects mode choice of commuters inevitably. To help facilitate BEV charging and improve accessibility of transit stations, the park-charge-ride (PCR) services have been implemented in some cities. This study develops a deterministic continuum equilibrium model for a monocentric city to analyze the modal choice behavior of commuters

Ridesharing is the sharing of trip segments from one place to another among multiple travelers, obviating others’ needs to drive themselves. By having more than one occupant sharing a vehicle, ridesharing aims to reduce personal resources and costs, such as fuel and trip-related costs, and driver stress. The objective of this paper is to model the social preferences of rideshare passengers. We identify

Mobility as a service (MaaS) promises a bold new future where bundled public transport and shared mobility options (carsharing, ridesharing, bikesharing and microtransit) will provide consumers with seamless mobility on par with and exceeding that of private vehicle ownership. Whilst there is a growing body of work examining the market and end user demand for MaaS, there remains a limited understanding

This paper exploits some latest advances in structural equation modelling and latent class analysis for identification and mapping of the spatial variations in travel choices. The approach controls for a wide range of socioeconomic and demographic variables and changes in car fuel prices. The research is focused on employed and self-employed adults, and the method can be readily extended to cover other

Disruptions in public transport can have major implications for passengers and service providers. Our study objective is to develop a generic approach to predict how often different disruption types occur at different stations of a public transport network, and to predict the impact related to these disruptions as measured in terms of passenger delays. We propose a supervised learning approach to perform

Autonomous vehicle (AV) technologies are under constant improvement with pilot programs now underway in several urban areas worldwide. Modeling and field-testing efforts are demonstrating that shared mobility coupled with AV technology for automated mobility on-demand (AMoD) service may significantly impact levels of service and environmental outcomes in future cities. Given these rapidly emerging

Spatiotemporal data, and more specifically origin–destination matrices, are critical inputs to mobility studies for transportation planning and urban management purposes. Traditionally, high-cost and hard-to-update household travel surveys are used to produce large-scale origin–destination flow information of individuals’ whereabouts. In this paper, we propose a methodology to estimate origin–destination

Travel time reliability has been recognized as an important factor in cost–benefit analysis in a transportation network. To estimate the benefit and cost of travel time reliability, several network models have been proposed to estimate the monetary values both of travel time and of travel time reliability based on the driver’s route choice behavior. In this study, we propose a network model that addresses

This paper examines the opportunities for addressing evacuations by leveraging the sharing economy. To support this research, we use a mixed-method approach employing archival research of sharing economy actions, 24 high-ranking expert interviews, and a survey of individuals impacted by Hurricane Irma in 2017 (n = 645). Using these data, we contribute to the literature in four key ways. First, we summarize

China’s low-cost carriers (LCCs) are poised for fast growth, thanks to the changing competition dynamics and aviation policies in the domestic market. This new trend calls for an in-depth investigation of the characteristics and behavioral intentions of LCC passengers. In particular, passenger demographics must be carefully considered given the likely demographic diversity in China’s emerging LCC market

Activity sequencing is a crucial component of disaggregate modeling approaches. This paper presents a methodology to analyse and predict activity sequence patterns for persons based on their socio-demographic attributes. The model is developed using household travel survey data from Germany. The presented method proposes an efficient approach to replace complex activity-scheduling modules in activity-based

This study advances understanding of the role of residential location in joint household travel and activities for non-work purposes in an Asian city context. This has been done by investigating the relationship between job accessibility, and the undertaking and duration of joint travel and activities of multi-person households in Hong Kong. Particular attention was given to the difference between

Bike-sharing systems have been popular in addressing the “last mile” problem in public transit. However, service providers have found challenges when soliciting travellers to shift from their private vehicles: more stations do not always mean higher switching by private vehicle users. Considering the possible non-linear relationship between service provision and intention to use, this study utilises

Going beyond the traditional business to consumer air transport passenger perspective, this paper examines what we can learn from combining transaction marketing (TM) and relationship marketing (RM) orientations in respect to customer loyalty in the context of business to business (B2B) freight transportation markets. We model and examine post-transactional air freight express (integrator) customer

This study examines the influence of the built environment on trip-chaining behavior. Based on weekday travel in the Halifax Regional Municipality, we develop four separate models of tour complexity, each corresponding to a specific type of tour. The average number of trips per tour is regressed against built environment characteristics while household, personal, and tour-specific characteristics and

This study investigates the disparities in access to various types of opportunities in ethnic neighborhoods, as compared to wealthy white neighborhoods (the reference). Focusing on the heterogeneity within ethnic neighborhoods, I distinguish between different types of neighborhoods based on their racial/ethnic makeup and median household income. The Los Angeles region provides an interesting empirical

With the objective of deriving useful insights into measures against traffic congestion at service areas (SAs) and parking areas (PAs) on expressways and ensuring efficient use of SAs/PAs, this study investigated the decisions on where a truck is parked (i.e., choice of an SA or a PA), how long it is parked (i.e., parking time), and their influential factors. To this end, this study used the trajectory

Symbolism, what people believe a transport mode tells others about them within the context of a hierarchical society, has been shown to be a significant driver of transport choice. However, despite the common practice of transferring transport policies between nations, no research has focused on how a mode’s symbolic connotations vary across national cultures and how this may affect individual and

Supplying public transport systems with high levels of service quality is fundamental for retaining users and attracting new ones. Policies that improve transit service quality will ultimately lead to more sustainable travel patterns. Measuring overall service quality implies measuring the quality of several specific attributes and is prevalently evaluated through the perceptions of users, using satisfaction

Urban utility cycling is being promoted widely due to various health, social, economic and environmental benefits. This study seeks to identify and rank which municipal-level policies and other factors are most influential in increasing cycling as a means of everyday transport and improving the real and perceived cycling safety in car-oriented urban centres. This is achieved by identifying the key

Beyond their functional purpose, cars are often considered a status symbol. There may exist a certain level of pride associated with owning and using cars, particularly in regions where motorization is rapidly growing. However, there is little empirical evidence in terms of how car pride is related to different behavioral aspects, such as car ownership and use, especially in the context of developing

We investigate changes in the allocation of discretionary time to social activities between 2003 and 2013 in the United States using data from the American Time Use Survey (ATUS). Within this period, several changes particularly around communication technologies have occurred, including the mass adoption of web and video enabled smart phones. Other advances include social networking platforms, low

There is a considerable gap between the existing knowledge used to estimate the value of time in passenger transport when compared with the framework of analysis developed for freight transport. In this paper, we applied a model that is gaining recognition in the context of passenger values of time estimation known as random valuation (RV) to a context in which there is little evidence of its application:

The growth of app-based taxi services has disrupted the urban taxi market. It has seen significant demand shift between the traditional and emerging app-based taxi services. This study explores the influencing factors for determining the ridership distribution of taxi services. Considering the spatial, temporal, and modal heterogeneity, we propose a mixture modeling structure of spatial lag and simultaneous

As an emerging dynamic modeling method that incorporates time-dependent heterogeneity, hidden Markov models (HMM) are receiving increased research attention with regards to travel behavior modeling and travel demand forecasting. This paper focuses on the model transferability of HMM. Based on a series of transferability and goodness-of-fit measures, it finds that HMMs have a superior performance in

Electric vehicles (EVs) are considered as a driving force behind the automotive industry’s transformation based on eco-friendliness and high energy efficiency. Unlike expectations, the diffusion of EVs is proceeding at a slow pace in Korea. This study therefore aims to identify the factors influencing the slow market diffusion of EVs from a socio-technical perspective, by comparing the perceptions

Abstract Suburban development patterns, flexible work hours, and increasing participation in out-of-home activities are making the travel patterns of individuals more complex, and complex trip chaining could be a major barrier to the shift from drive-alone to public transport. This study introduces a cohort-based approach to analyse trip tour behaviors, in order to better understand and model their

Abstract During the last few decades, the European Union has promoted distance-based charges on heavy goods vehicles for the use of main roads as a means of funding the infrastructure and internalizing external costs. This approach has progressively been implemented by many European nations. From a macro perspective, this paper explores the impact of heavy vehicle tolling on road freight demand in

Abstract This paper develops an error component mixed logit model to analyze the multi-dimensional residential, work and transportation mode choice. It expanse previous studies based on life-trajectory theory which predominantly only considered two life domains. In contributing to this emerging field of research, we design an integrated pivoted stated choice experiment considering the multi-dimensional

Abstract The paper takes station-based bikesharing system (SBS) with docks and dockless free-floating bikesharing system (FBS) as two targets to dig out the relationship between users and use frequency of the services for each scheme, and how the relationship varies from scheme to scheme. To achieve this, studies are carried out focusing on three questions: “who are using these two bicycle services

Abstract Freight forecasting models have been significantly improved in recent years, especially in the field of goods vehicle behavior modeling. On the other hand, the improvements to commodity flow modeling, which provide inputs for goods vehicle simulations, were limited. Contributing to this component in urban freight modeling systems, we propose an error component logit mixture model for matching

Abstract Today, car sharing represents a generally accepted and widespread mode of individual transport. Car sharing providers operate their fleets effectively in many cities around the world. Surprisingly, rural areas don’t seem to have been considered in provider’s current expansion strategies. However, studies suggest that car sharing would have the greatest impact on improving sustainability and

Abstract Informal minibus services dominate public transportation in Lagos, Nigeria. Local, state, and federal government entities in Nigeria have historically only been able to provide woefully inadequate formal transit systems. Informal transit has sprung up to fill this incredible demand. The cutthroat, individualistic grind of this system produces world-renowned problems of inefficiency, safety

Stated choice surveys have established themselves as the preferred approach for value of travel time elicitation with the help of choice models. However, major differences exist in the approach used across regions and contexts. In Europe (particularly Northern Europe), value of travel time is often estimated in large national studies, which continue to rely extensively on simple time-money trade-offs

Abstract Besides saving money and providing convenience, carpooling can result in environmental benefits to society; therefore, it is important to promote and improve daily carpooling services. However, some conflicts related to carpooling match rates and environmental protection have been influencing user satisfaction. To broaden the carpooling service scope and improve service flexibility, an environment

Abstract Travel surveys are the primary source of data that feed into the analysis and modeling of travel behaviour. Numerous studies have found that the survey method, be it pen and paper, online, interview, smartphone app, or GPS, impacts participation, diligence and accuracy of reporting. In turn, this can lead to bias both in terms of the socio-demographic mix of respondents, and under/mis-reporting

Abstract In travel demand modelling, trip distance distributions or trip time distributions are used to evaluate how well a model fits with observed sample data. Therefore, the comparison of distributions is an essential part in the model validation process. Despite its importance, the common modelling guidelines from the UK, the USA or Austria provide little information about the correct structure

Abstract Jobs–housing balance (JHB) and employment self-containment (ESC) have been used to examine the jobs–housing relationship. However, the effect of the modifiable areal unit problem (MAUP) on ESC and JHB has received little attention. This study aims to examine the effect of the MAUP on the spatial variation of ESC and JHB by utilizing mobile positioning data from Shenzhen, China. Journey-to-work

Abstract Historically cities are formed to provide interaction and communication opportunities for communities. As cities become smarter, new forms of interactions are formed and the necessity to participate in activities such as traveling to a grocery store is replaced by submission of online order in Amazon fresh. If we move in this direction, it bears answering the question of what kinds of societal

Abstract This paper presents a longitudinal analysis of activity generation behaviour in the Greater Toronto and Hamilton Area (GTHA) between 1996 and 2016 for various activity types: work, school, shopping, other. The analyses are conducted using the data from the five most recent Transportation Tomorrow Surveys. For work and school purposes, the population is divided into sub-categories considering

Abstract Ridership prediction at station level plays a critical role in subway transportation planning. Among various existing ridership prediction methods, direct demand model has been recognized as an effective approach. However, direct demand models including geographically weighted regression (GWR) have rarely been studied for local model selection in ridership prediction. In practice, acquiring

Abstract Previous research has demonstrated the relevance of life events to explain changes in travel behavior. Less clear is the moderating role played by life stages on the relationship between life events and travel behavior. Our goal in this study is to explore how the influence of life events on travel behavior differs by life stage. We use data from a travel survey of faculty, staff and students

Abstract This paper presents a closed-form Latent Class Model (LCM) of joint mode and departure time choices. The proposed LCM offers compound substitution patterns between the two choices. The class-specific choice models are of two opposing nesting structures, each of which provides expected maximum utility feedback to the corresponding class membership model. Such feedback allows switching class

Abstract Large scale activity-based simulation models inform a variety of transportation and planning policies using models that often rely on fixed or flexible workplace location in a synthetic population as input to work related activity, participation, and subsequent destination dependent travel decisions. Although discrete choice models can estimate workplace location with greater flexibility,

Abstract The recent development of shared-bike systems in China has brought convenience for users, as well as great pressure on bicycle parking management. There is limited empirical evidence regarding the effectiveness of incentive measures from the perspective of guiding people to park their shared bikes regularly. By defining a mixed logit model based on the theory of planned behaviour, this study