Empirical analysis of the implementation of cordon pricing: Potential impacts on travel behaviour and policy implications

The main goal of this study is to investigate the feasibility of implementing cordon pricing as a mitigation policy to curb traffic congestion in Abu Dhabi Island. Two research objectives are identified to address the research goal. First, this study examines the impact of cordon pricing on commuters’ travel behaviour based on their socio-economic characteristics. Second, this study investigates commuters’ willingness to pay to escape congestion on the roads of the city of Abu Dhabi. A stated preference survey was used to gather data, and the analysis was based on 6054 responses. Multinomial logit modelling, chi-square test, and one-way ANOVA were used to assess the impact of cordon pricing on commuters. The results of this study show that the respondents have a slight intention to reduce their auto use by driving less or changing to other modes of transportation. Toll charges are found to be an important factor that would trigger some income groups to change their travel behaviour because of the additional burden and cost to their daily trips.     

Revealing psychological inertia in mode shift behavior and its quantitative influences on commuting trips

The inertia effects stemmed from repeated past behavior have been investigated by both psychology and transportation studies because of its bearing on explaining human mobility and forecasting travel demand. However, the existing literature from psychology does not strictly control potential endogeneity due to ignorance of detailed level-of-service (LOS) variables of alternatives and rational preference in the analysis. Quantitative transportation studies are insufficient in providing explicit behavior mechanisms. This paper aims to fill the gaps by empirically examining the effects of irrational psychological inertia in mode shift behavior with controlling potential endogeneity. A specific-designed comparison experiment is conducted to demonstrate the existence of psychological inertia in mode shift behavior. The effects of dominance in LOS variables and rational preference towards a certain transport mode are controlled to eliminate potential endogeneity in the analysis. The results demonstrate that after controlling the above-mentioned endogeneity, both car and metro users show significantly and substantially larger predilections to previously used transport mode in mode shift scenarios without overturning travel contexts than those in new context mode choice scenarios with noticeable changes in travel contexts. The results support that psychological inertia plays a significant role in mode shift behavior after controlling potential endogeneity. Moreover, this study utilizes hybrid choice modeling to quantitatively measure the effect of psychological inertia. The relationships between travelers’ characteristics and strength of psychological inertia are analyzed as well to shed light on heterogeneity in the strength of psychological inertia. The findings provide solid evidence of psychological inertia in mode shift behavior by a novel method and provide an approach to measure the quantitative effects of psychological inertia along with empirical studies.     

Travel behavior changes and responses to advanced traveler information in prolonged and large-scale network disruptions: A case study of west LRT line construction in the city of Calgary

The objective of this study was the investigation of travel behavioral effects of the reduction in traffic capacity resulting from the construction of the West LRT (Light Rail Transit) line in the city of Calgary, Alberta, Canada. Travelers’ responses to real-time information providing traffic updates and advisory detours due to lane/road closures were also examined. The West LRT alignment extends approximately 8.2 km from downtown into the city’s southwest. Many road closures took place in the vicinity of the LRT line construction zones, inducing significant delays to traffic. Data on travelers’ behavioral responses and responses to real-time information were obtained by conducting a survey on a sample of users of the main road affected by the construction. The survey also investigated the effects of West LRT line construction on drivers’ daily commutes, including increases in travel times, mode choices, alternate route choices, and selection of sources of information on traffic conditions. A significant change in the selection of transportation mode was caused by West LRT construction. Throughout the construction period, there was a decrease in the percentage of respondents who reported private vehicles as their first choice and an increase in the percentage of respondents who preferred public transit as their first and second choices. Radio was found to be the most preferred source for traffic updates and detour advice, followed by variable message signs (VMS). The findings of the en-route information model showed that driving experience, employment status, travel time and purpose, and desire for pre-trip information had significant effects on traveler’s rerouting decisions after getting en-route information through VMS. The results from this study are of interest for understanding behavioral changes for the purposes of traffic management, mitigation schemes and design of advanced traveler information systems in response to network disruptions.     

Active school travel,attitudes and psychological well-being of children

The decline in physical activity levels among children emphasizes a need for research on experiences related to children’s active travel. The present study investigates the relationship between mode use on school trips and psychological well-being (PWB) of children. Data were collected from 152 primary school children in Lower Austria. The paper-and-pencil survey investigated transport-related attitudes, travel behavior, and children’s emotional well-being depending on the travel mode used on their trip to school. Parents’ perceptions of their child’s travel mode on well-being were also collected in 31 in-depth interviews. Findings suggest that active school travel is positively associated with children’s PWB, and that travel-related attitudes towards modes are significantly related to well-being. However, it is difficult to determine the causal direction between the two variables as causal feedback loops can be assumed. Clear results can be obtained for the parental survey: Parents reported strong positive associations between active travel modes and the well-being of their children. More research with bigger sample sizes and higher quality measures should be conducted, including about non-school trips and with longitudinal datasets, to further evaluate the interrelations between children’s mode use, attitudes, and well-being and to determine the most successful strategies for increasing active mobility among children.     

The effect of cultural values on pro-environmental attitude in the context of travel mode choice: A hierarchical approach

The cultural theory explains social behavior through four elementary types of cultural values consisting of hierarchy, individualism, egalitarianism, and fatalism. The knowledge of how these values influence attitudes and behaviors specifically pertain to the environment is limited. Understanding individuals’ values and attitudes should be addressed in travel mode choice based on possible impacts of transportation on the environment. This study investigates the effect of cultural values on pro-environmental attitude and the influence of this attitude on travel mode choice in light of a hierarchical latent choice model. The model is estimated using data from a random sampling in CBD (Central Business District) of Tehran, Iran. The pro-environmental attitude, which is postulated to be affected by cultural values, is considered as the latent variable directly affecting travel mode choice. The cultural values drivers of pro-environmental attitude have been seen in a hierarchical structure. The estimated results show that hierarchical cultural tendency has the strongest and positive effect on being pro-environmental. Also, individualistic culture indicates a positive trend in being pro-environmental. On the other side, people with egalitarianism value tend to report an orientation towards pro-environmental attitude. Moreover, pro-environmental attitude increases the utility of public and active modes of transportation and a negative significant effect is found on the utility of private car and motorcycle.     

Goal priming,public transportation habit and travel mode selection: The moderating role of trait mindfulness

Habits in travel mode occur in a stable context and create strong links between travel goals and travel modes in memory. As a consequence, priming a travel goal (i.e., going to a place) in memory increases the accessibility of the associated travel mode among habitual users of this transportation mode. We posit that individual differences in attention to present moment and experience (dispositional mindfulness construct; Brown & Ryan, 2003) could moderate the interaction between travel goal priming and habit strength. In this study, habitual vs. non-habitual users of a subway line were nonconsciously primed with travel goals that were strongly associated with the use of a subway line. In the second part of the study, participants chose, among four travel modes, the one(s) that allowed reaching a specific place. Priming and habit strength contributed non-additively to decision times, but among low-mindfulness participants only. Among non-habitual users, priming speeded decisions at high levels of mindfulness, but slowed decisions at low levels of mindfulness. From a fundamental and applied point of view, discussion focuses on processes crossing habits, non-deliberated responses to environmental cues, and mindfulness.     

Patterns of Walking Among Employed,Urban Canadians: Variations by Commuting Mode,Time of Day,and Days of the Week

This paper illustrates the facility of time-use files to enhance the understanding of behavioral components of commuting. It draws on data from Statistics Canada’s most recent national General Social Survey (2010) to substantiate prior research on the extent that use of public transit for commuting to work is accompanied in people’s days by a greater amount of walking. By verifying alternative explanations for this relationship, the paper explores more thoroughly how walking fits into the daily lives of employed persons in large urban areas. Results show that travel by car comprises upwards of 80 per cent of trips regardless of the hour of the day, while public transportation is used mostly to get to and from paid work. Although walking generally accompanies such transit commutes and is shown to fit sequentially into transit’s temporal patterns, walking spreads out more evenly across the day than transit use and helps complete other trip purposes. The weekday walking pattern extends to weekend days to a surprisingly similar extent, confirming that transit is but one of numerous generators of walking trips. Statistically significant relationships link minutes walked to household income, access to a car, and main mode used for commuting. However, the pre-eminence of commuting by car raises questions about the effective priorities and constraints underlying choice of main commuting mode. More detailed characterization of transit access and subjective questions in time-use surveys could facilitate greater insight into the rationales of the subgroup choosing public transit and walking more frequently and for longer duration.     

How do public transport users adjust their travel behaviour if public transport ceases? A qualitative study

Mode shift from public transport (PT) to private car when a PT shut-down occurs results in an increase in the number of car trips on the road network which may contribute to traffic congestion. Policies aimed at reducing the mode shift to car can be designed through a better understanding of PT users’ mode shift in the event of a PT disruption. Furthermore, the share of car mode shift is also an important parameter for assessing traffic congestion relief associated with day to day PT provision in cities. This study sought to uncover factors influencing the mode shift to car among PT users in the event of a PT disruption. Semi-structured interviews were conducted with 30PT users from Melbourne, Australia. Grounded theory was used to derive categories and subcategories of behavioural responses. Factors affecting mode shift to car if PT ceases in the short term were classified into three main themes with several subcategories: individual-specific factors, context-specific factors and journey-specific factors. In the long term, the analysis reveals that only context-specific factors have an influence on mode shift. Findings show that car access, travel time, travel cost, trip importance, non-central business district (CBD) trips, weather, flexibility and accessibility to PT stations are the most important factors favouring use of the car if PT ceases in the short term. This acts to increase traffic congestion due to the mode shift to car. However, in the long term, removing PT is expected to have an impact on land use, leading to individuals changing their residential and workplace location.     

Why would people want to travel more with automated cars?

The use of automated vehicles (AVs) may enable drivers to focus on non-driving related activities while travelling and reduce the unwanted efforts of the driving task. This is expected to make using a car more attractive, or at least less unpleasant compared to manually driven vehicles. Consequently, the number and length of car trips may increase. The aim of this study was to identify the main contributors to travelling more by AV.We analysed the L3Pilot project’s pilot site questionnaire data from 359 respondents who had ridden in a conditionally automated car (SAE level 3) either as a driver or as a passenger. The questionnaire queried the respondents’ user experience with the automated driving function, current barriers of travelling by car, previous experience with advanced driving assistance systems, and general priorities in travelling. The answers to these questions were used to predict willingness to travel more or longer trips by AV, and to use AVs on currently undertaken trips. The most predictive subset of variables was identified using Bayesian cumulative ordinal regression with a shrinkage prior (regularised horseshoe).The current study found that conditionally automated cars have a substantial potential to increase travelling by car once they become available. Willingness to perform leisure activities during automated driving, experienced usefulness of the system, and unmet travel needs, which AVs could address by making travelling easier, were the main contributors to expecting to travel more by AV. For using AVs on current trips, leisure activities, trust in AVs, satisfaction with the system, and traffic jams as barriers to current car use were important contributors. In other words, perceived usefulness motivated travelling more by AV and using AVs on current trips, but also other factors were important for using them on current trips. This suggests that one way to limit the growth of traffic with private AVs could be to address currently unmet travel needs with alternative, more sustainable travel modes.     

The changing influences on commuting mode choice in urban England under Peak Car: A discrete choice modelling approach

The phenomenon of Peak Car has been defined over the past eight years as a plateau or fall in the level of car use in urban areas. Although Peak Car research to date has relied on population-level data, such macro-level trends can be disaggregated into many individual travel decisions. This research uses English survey data collected by the Department for Transport (DfT) in 2009 to test a range of variables influencing choice of commuting mode in residents of urban England. The variables tested are subdivided into spatial, demographic, level of service, and attitudinal. Multinomial logistic regression is used to test these variables individually and then in combination, producing a multivariate discrete choice model of commuting mode choice. The choice between commuting modes is fourfold: car, bus, train, and active modes. The results suggest that the relationship between income and car use is changing, as higher incomes are found to be associated with increased odds of choosing to commute by train or active modes rather than the car when other factors are controlled for. Attitudes to buses and active modes are also found to be influential.     

Would you rather teleport or spend some time commuting? Investigating individuals’ teleportation preferences

The “teleportation test” is a unique question—used in some travel behavior research since the 2000s—to examine individuals’ perceptions towards travel time and affinities for travel. It gives people a hypothetical choice between teleporting or spending some time traveling. All studies (using different methods, including focus groups, interviews, and questionnaires) have consistently reported high teleportation preferences (about 70%). Yet, few correlates of teleportation preferences (especially sociodemographic and perceptual characteristics) have been investigated. Using data from an online questionnaire of 648 commuters in Portland, Oregon, this study investigated factors affecting individuals’ teleportation preferences. While generally representative of the area’s commuters, the sample did have higher shares of high-income workers and people using active modes or transit. Overall, 62% of respondents preferred to teleport than to spend some time commuting. Results from binary logit models identified actual commute duration, typical mode of travel, and “ideal” travel time (but no demographic attributes) as major predictors of preferences to teleport. As expected, people with longer commute durations had a greater desire to teleport, whereas bicyclists and pedestrians more often preferred to commute. People with longer ideal travel times had a greater affinity to commute and were less keen to teleport. Analysis of follow-up questions exploring reasons for respondents’ answers suggested that most “teleporters” were motivated by saving time to do other things, while most “commuters” found parts of their commutes to be enjoyable or productive. Findings from this study are consistent with related studies in implying that a teleportation preference does not necessarily represent zero ideal travel time or viewing travel time as wasted. Finally, this study discusses several travel behavior policy implications of the teleportation test, along with limitations and areas for future research.     

From sport to eco: A case study of driver inputs on electric vehicle efficiency

This study focuses on driver-induced changes to vehicle energy and emissions performance by altering drivetrain configurations. It defines and examines the motivations for the use of drive modes in plug-in hybrid electric vehicles (PHEVs). Drive modes are defined as user-selectable drivetrain configurations that allow drivers to change vehicle performance aspects such as altering its propulsion status from electric to gas, changing the steering responsiveness, suspension stiffness, and regenerative braking strength. Despite the direct impact they have on the vehicle’s energy usage, greenhouse gas emissions, and local air emissions, the impact of drive modes are not traditionally measured as part of the vehicle’s performance and certification tests. The impact of drive mode choice can explain a portion of the discrepancy between PHEVs expected and on road performance as a recent study by the authors found that the use of certain modes can result in a 15–30% increase in total energy usage in a vehicle traveling at freeway speeds.This is the first study to examine the motivations for the use of these drive modes and provides an overview of PHEV drive modes, classifying them into two main mode categories (propulsion adjustment and driver experience) and eight different mode types based on their intended purpose. This is followed by a logistic regression of 11 indicators for mode usage taken from a survey of over 4,500 PHEV owning households, showing that gender and the number of long-distance trips were the most commonly associated with usage across mode types.     

The impacts of an air-crash on students’ transportation choice behaviour: An empirical study undertaken in Taiwan

This research’s objectives are to identify major factors influencing offshore student–commuters’ transportation mode-choice and to develop simple Logit choice models prior and post a major air disaster. The total trip time, trip cost, ease of access to a transportation mode, student–commuters’ household income, and the risk perceived by student–commuters using different transportation modes are found to have impacts on their mode-choice behaviour. Several logit model specifications were tested. The research reveals student–commuters’ transportation mode-choice behaviour significantly changed post the May 2002 Penghu air accident. Reduction in airfares (which most airlines used to promote their services after the air-crash) was less attractive to passengers than convincing them that airline services were safe. Therefore, any post-disaster airline marketing campaign aimed at student–commuters should change from reduced fare promotion to service safety promotion.     

Reduced Use of Environmentally Friendly Modes of Transportation Caused by Perceived Mobility Necessities: An Extension of the Theory of Planned Behavior1

An extended version of the theory of planned behavior (TPB; Ajzen, 1991 ) was used to explain travel mode choice. As a new predictor, perceived mobility necessities (PMNs) were introduced, which are defined as people's perceptions of mobility‐related consequences of their personal living circumstances. The database consisted of a survey of 1,545 car users in 3 large German cities. Using structural equation modeling, PMNs were integrated into TPB and showed the expected significant negative effect on use of environmentally friendly modes. In‐depth interviews with 82 selected participants indicated that PMN moderates the relationship between public transportation attitude and intention. This moderator effect was confirmed by a regression analysis. The extension of TPB by PMN allows deduction of more differentiated intervention strategies.     

Staying on or getting off the sidewalk? Testing the Mehrabian-Russell Model on pedestrian behavior

Social and environmental psychology provide a variety of models based on which to understand how built environments can elicit people’s behavioral responses. The Mehrabian-Russell model (MRM), initially presented in 1974, provides a framework that explains avoid–approach behavior towards a place based on a primary emotional response (PER) and affective states elicited by the perceived stimuli from the environment. However, despite the potential applications of the MRM in travel behavior studies, traditional models (e.g., discrete choice models and integrated choice latent variable) do not incorporate this specific psychological process that converts environmental stimuli into behavioral responses. Hence, this paper aims to test the applicability of MRM to urban sidewalks. To fulfill this objective, we developed a two-level structural equation model using latent variables (LV) identified from a confirmatory factor analysis (CFA) based on 1056 in-person surveys on 30 different sidewalks in Bogotá, Colombia. We then evaluated the effect of the PER on declared avoidance as a proxy of behavioral intention. The CFA uncovered three LV equivalent to the three affective dimensions of the MRM—arousal, pleasure, and dominance—followed by a fourth LV, representing the PER, which explains the three previous LVs. This confirms the applicability of these kinds of psychological and environmental models in pedestrian behavior evaluation. We found that PER can explain the declared intention of avoidance towards the sidewalk in an urban setting. Proving that this kind of model can explain the way in which the built environment can elicit pedestrians’ emotional responses and subsequent behaviors, provides information that can be used as input in travel behavior studies focusing on the promotion of active traveling and mode change.     

Am stressed,must travel: The relationship between mode choice and commuting stress

The stress of commuting has serious public health and social implications. By comparing stress across different modes it is possible to determine which modes are more heavily contributing to this potential health and social issue. This study uses a large-scale university travel survey to compare commuter stress across three modes of transportation (walking, driving, and using public transit). It also investigates the specific factors that contribute to stress using these modes. Using ordered logistic regressions, the study develops a general model of stress and three mode-specific models. Results show that driving is the most stressful mode of transportation when compared to others. We also find that stressors for some modes are not stressors for others. Knowing which specific factors make certain modes stressful will help transportation and public health professionals make commuting a safer, more enjoyable, and less stressful activity; in turn this could mitigate the potentially serious health outcomes of a stressful commute.