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

Abstract 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

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

Abstract Transportation network companies (TNC) provide mobility services that are influencing travel behavior in unknown ways due to limited TNC trip-level data. How they interact with other modes of transportation can have direct societal impacts, prompting appropriate policy intervention. This paper outlines a method to inform such policies through a data-driven approach that specifically analyzes

Abstract For decades, taxis have provided for-hire vehicle service without significant competition from other modes. But in 2012, ride-hail services such as Uber and Lyft upended the taxi business model by connecting riders to drivers through smartphone applications. Since then, few studies have considered how taxis compare to their new competition or how service quality varies across the two modes

Abstract This paper studies the relationship between trip chain complexity and daily travel behaviour of travellers. While trip chain complexity is conventionally investigated between travel modes, our scope is the more aggregated level of a person’s activity-travel pattern. Using data from the Netherlands Mobility Panel, a latent class cluster analysis was performed to group people with similar mode

Abstract This article analyzes the determinants of tourists’ expenditure behavior through the joint adoption of two microeconometric approaches, namely, the Stochastic Frontier (SF) and the Multiple Discrete Continuous Extreme Value (MDCEV) model. Despite the attention that analysts have dedicated to consumers’ expenditure behavior in recent years, several limitations concerning the role of budget

Abstract This research investigates the interactive effects of the household structure and race/ethnicity on gender differences in commuting travel in the United States. Existing research has established that both the household structure and race/ethnicity affect the gender differences, but little has examined if and how the effects of the household structure differ across racial/ethnic groups. Using

Abstract Previous research on the role of commute duration in subjective well-being (SWB) has paid little attention to developing countries and the possible pathways determining the relationship between them. In this study, we construct a conceptual framework, identifying the possible pathways through which commute duration may affect SWB. Next, we empirically analyse some of these pathways in the

Abstract There is growing interest in using online outsourcing platforms that are part of the “gig economy” to conduct surveys for academic research. This interest has been driven in part by the belief that compared to traditional survey data collection methods, internet-based marketplaces such as Amazon Mechanical Turk (MTurk) enable one to collect survey data cheaper and faster from a larger, more

Abstract This paper addresses the deployment issue of emergency rescue stations in an urban transportation corridor, with an aim to effectively reduce the casualties in traffic accidents. On the basis of urban population density, an accident rate distribution function for a corridor is first presented and calibrated, and a damage cost function is proposed to capture the correlation between rescue time

Abstract Smart card data derived from automatic fare collection (AFC) systems of public transit enable us to study resident movement from a macro perspective. The rhythms of traffic generated by different land uses differ, reflecting differences in human activity patterns. Thus, an understanding of daily ridership and mobility patterns requires an understanding of the relationship between daily ridership

A large amount of information is required to model the complex trade-off processes between travel activities, non-travel activities and budget assignment at the individual level. This paper describes the development of a new survey design, which incorporates components of travel surveys, time use surveys and consumer expenditure surveys in an integrated format, which is expected to deliver a richer

This paper develops and applies a practical method to estimate the benefits of improved reliability of road networks. We present a general methodology to estimate the scheduling costs due to travel time variability for car travel. In contrast to existing practical methods, we explicitly consider the effect of travel time variability on departure time choices. We focus on situations when only mean delays

New smart card datasets are providing new opportunities to explore travel behaviour in much greater depth than anything accomplished hitherto. Part of this quest involves measuring the great array of regular patterns within such data and explaining these relative to less regular patterns which have often been treated in the past as noise. Here we use a simple method called DBSCAN to identify clusters

Despite growing prevalence of online shopping, its impacts on mobility are poorly understood. This partially results from the lack of sufficiently detailed data. In this paper we address this gap using consumer panel data, a new dataset for this context. We analyse one year long longitudinal grocery shopping purchase data from London shoppers to investigate the effects of online shopping on overall

Although complete street policies are proliferating, little is known about how nearby residents perceive and act on their new active transportation opportunities. We survey the same neighborhood residents before and after they receive a new complete street renovation with five new light rail stops. We compare Time-1 expectations to use rail with Time-2 evidence of rail use, based on both self-reported

This paper presents a model of social network evolution, to predict and simulate changes in social networks induced by lifecycle events. We argue that social networks change with lifecycle events, and we extend a model of friendship selection to incorporate these dynamics of personal social networks. The model uses theories of homophily and reciprocity and is formulated in a random utility maximization

Ordinal measures are frequently encountered in travel behavior research. This paper presents a new method for combining them when a hierarchical structure of the data can be presumed. This method is applied to study the subjective assessment of the amount of travel by different transportation modes among a group of French clerical workers, along with the desire to increase or decrease the use of such

This paper deals with modelling the dynamic resilience of rail passenger transport networks affected by large-scale disruptive events whose impacts deteriorate the networks' planned infrastructural, operational, economic, and social-economic performances represented by the selected indicators. The indicators of infrastructural performances refer to the physical and operational conditions of the networks'