2018
DOI: 10.1016/j.tra.2018.04.025
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Pricing workplace parking via cash-out: Effects on modal choice and implications for transport policy

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Cited by 26 publications
(10 citation statements)
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References 46 publications
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“…Only moving to supply-side scenario 3 one finds that the number of potential crowdshippers does not satisfy the maximum potential demand. However, this figure might vary by considering the possible lifestyle changes due to either environmental policy interventions [49] or incentives such as gamification [29] and parking cash-out [13]. These results underline a potential market for the new service and the importance of paying attention to service design especially with respect to the supply side.…”
Section: Policy Implicationsmentioning
confidence: 99%
“…Only moving to supply-side scenario 3 one finds that the number of potential crowdshippers does not satisfy the maximum potential demand. However, this figure might vary by considering the possible lifestyle changes due to either environmental policy interventions [49] or incentives such as gamification [29] and parking cash-out [13]. These results underline a potential market for the new service and the importance of paying attention to service design especially with respect to the supply side.…”
Section: Policy Implicationsmentioning
confidence: 99%
“…Simply increasing the cost of parking cannot ease congestion. To mitigate this situation, parking cash-out has been suggested as an effective and efficient policy to reduce single occupancy car commuting trips [42]. Results indicate that, regardless of model specifications, parking cash-out has a negative and significant effect on the probability of private car choice.…”
Section: Discussion On Modal Shift To High Parkingmentioning
confidence: 99%
“…SP was chosen since it is perfectly suitable for investigating individuals' perceptions, acceptance, and reactions towards hypothetical conditions not present in the market. In fact, SP has been widely used in the transportation context for: (i) Evaluating potential behaviour changes (e.g., [38,39]); (ii) estimating modal shift (e.g., [40,41]); and (iii) analysing attitudes or satisfaction related to innovative services (e.g., [42,43]). SP has also been applied to the freight sector for: (i) Predicting stakeholders' reactions to policy changes (e.g., [44,45]); (ii) fostering stakeholder involvement and acceptability in the planning process (e.g., [46,47]), and (iii) in combination with other methods such as agent-based models (e.g., [48,49]).…”
Section: Methodsmentioning
confidence: 99%