Effects of changing travel patterns on travel satisfaction: A focus on recently relocated residents

Vos, Jonas De; Ettema, Dick; Witlox, Frank

doi:10.1016/j.tbs.2019.04.001

Cited by 52 publications

(14 citation statements)

References 42 publications

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“…6 In the past decade, many studies have investigated satisfaction with travel, often using the Satisfaction with Travel Scale (Ettema et al, 2011). Although this scale has proven to be a reliable measure of travel satisfaction (De Vos, Schwanen, Van Acker, & Witlox, 2015;Singleton, 2019a), some studies have instead used agreement ratings of statements, inspired by the Satisfaction with Life Scale (Diener, Emmons, Larsen, & Griffen, 1985), to measure satisfaction with daily travel (Bergstad et al, 2011), and satisfaction with commuting and leisure travel (De Vos, Ettema, & Witlox, 2019b). Studies indicate that people are in general relatively satisfied with their travel, especially with trips using active modes, having short durations, and for non-commute purposes (e.g.…”

Section: Examining Attitude Desire Intention Behaviour and Satisfaction In Travel Behaviour Researchmentioning

confidence: 99%

From attitude to satisfaction: introducing the travel mode choice cycle

2021

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Many studies analysing the relationship between attitudes and travel behaviour have found that travel attitudes have an important impact on travel mode choice. More recently, studies focusing on how people experience travel have shown that travel satisfaction is influenced by the chosen travel mode. The desire and intention of using a travel modewhich can be considered as important predictors of mode choicehave, however, received limited attention. Furthermore, existing studies mostly have a narrow scope and lack integration of the above constructs. In this paper, we introduce the travel mode choice cycle (TMCC), a comprehensive model aiming to link attitude, desire, intention, behaviour, and satisfaction by integrating prominent social-psychological attitude theories such as the theory of planned behaviour, the model of goal-directed behaviour, and the theory of cognitive dissonance. We argue that the constructs of the TMCC are strongly interrelated such that they can affect each other in direct and indirect ways. The proposed cycle provides valuable insights for policymakers to stimulate the use of desired travel modes, such as public transport and active travel. We end this paper by providing suggestions for future studies to simultaneously investigate the relationships specified by the TMCC.

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Section: Examining Attitude Desire Intention Behaviour and Satisfaction In Travel Behaviour Researchmentioning

confidence: 99%

From attitude to satisfaction: introducing the travel mode choice cycle

2021

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“…A longitudinal evaluation of an e-cycling stimulation programme in the province of North-Brabant, the Netherlands, found that the commute satisfaction of car commuters increases over time after taking up e-cycling to work (De Kruijf, Ettema, & Dijst, 2019). Residential or job moves resulting in shorter commute distances and more active travel have been found to result in higher levels of commute satisfaction (De Vos, Ettema, &Witlox, 2019, for movers to Ghent, Belgium, andSchneider &Willman, 2019, for employees at the University of Wisconsin-Milwaukee). This shows that changes to commuting can influence commute satisfaction.…”

Section: Satisfaction With the Commutementioning

confidence: 99%

Commuting and wellbeing: a critical overview of the literature with implications for policy and future research

et al. 2019

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This review provides a critical overview of what has been learnt about commuting's impact on subjective wellbeing (SWB). It is structured around a conceptual model which assumes commuting can affect SWB over three time horizons: (i) during the journey; (ii) immediately after the journey; and (iii) over the longer term. Our assessment of the evidence shows that mood is lower during the commute than other daily activities and stress can be induced by congestion, crowding and unpredictability. People who walk or cycle to work are generally more satisfied with their commute than those who travel by car and especially those who use public transport. Satisfaction decreases with duration of commute, regardless of mode used, and increases when travelling with company. After the journey, evidence shows that the commute experience "spills over" into how people feel and perform at work and home. However, a consistent link between commuting and life satisfaction overall has not been established. The evidence suggests that commuters are generally successful in trading off the drawbacks of longer and more arduous commute journeys against the benefits they bring in relation to overall life satisfaction, but further research is required to understand the decision making involved. The evidence review points to six areas that warrant policy action and research: (i) enhancing the commute experience; (ii) increasing commute satisfaction; (iii) reducing the impacts of long duration commutes; (iv) meeting commuter preferences; (v) recognising flexibility and constraints in commuting routines and (vi) accounting for SWB impacts of commuting in policy making and appraisal.

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“…Studies on mode shift have been largely motivated by a need to understand potential changes in response to proposed large infrastructure projects or substantially new services such as rapid transit or metro rail systems (11) and policy interventions such as congestion pricing (12) and fare subsidy. Most of the data on such mode shift studies are elicited using stated preference (SP) surveys because they are intended to examine potential mode responses to a new environment.…”

Section: Mode Shift and The Type Of Modes Shiftedmentioning

confidence: 99%

Joint Model of Sustainable Mode Choice for Commute, Shift Potential and Alternative Mode Chosen

Ramakrishnan

Srinivasan

Mondal

et al. 2021

Transportation Research Record: Journal of the Transportation R

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Rising traffic congestion and severe air pollution in urban areas have led policymakers to find appropriate strategies to encourage the use of sustainable modes. In this context, this paper investigates three choice dimensions related to the work commute travel: (i) Whether and to what extent are sustainable modes considered? (ii) What factors influence the propensity to shift from the primary work commute mode? (iii) Which mode is most likely to be chosen conditional on the decision to shift? These dimensions are analyzed using data of workers from Chennai, India. As the three choices of an individual may be correlated and mutually endogenous because of common and persistent psychological attributes and modal service characteristics, they are modeled using a multi-dimensional probit model. The results show significant evidence of endogeneity, state-dependence, and unobserved correlation across these dimensions leading to significant improvement in fit measures. The results show that perceptions of walkability and environmental impacts of travel modes affect only the consideration of sustainable modes, while vehicle ownership and accessibility to transit affect all three dimensions. Four different behavioral motivations for the decision to shift from the usual mode: dissatisfaction with service attributes, activity constraints, multimodal travel pattern, and inertia, were identified. The mode to which shift occurs is influenced by household vehicle fleet (number and type), exclusive availability to the given decision-maker, and work distance. The insights from this study can be used to identify suitable factors and frame policies to promote sustainable mode choice at various levels.

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Effects of changing travel patterns on travel satisfaction: A focus on recently relocated residents

Cited by 52 publications

References 42 publications

From attitude to satisfaction: introducing the travel mode choice cycle

From attitude to satisfaction: introducing the travel mode choice cycle

Commuting and wellbeing: a critical overview of the literature with implications for policy and future research

Joint Model of Sustainable Mode Choice for Commute, Shift Potential and Alternative Mode Chosen

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