2014
DOI: 10.1016/j.regsciurbeco.2013.11.003
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Residential parking permits and parking supply

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Cited by 42 publications
(15 citation statements)
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References 27 publications
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“…Every year of waiting-list duration decreases car ownership by about 2 percentage points, which implies a price elasticity of car demand of −0.8. The (implicit) subsidy of a parking permit (with an average waiting duration of one year) induces an annual deadweight loss of about € 270 per permit, which is close to earlier findings by Van Ommeren et al (2014). However, we measure residential parking demand, while the latter paper focusses on parking supply near shopping centers and ignores further indirect welfare implications of residential parking, like the loss of product variety in shops because of less convenient visitor parking, as suggested by Molenda and Sieg (2013).…”
Section: Introductionsupporting
confidence: 71%
See 2 more Smart Citations
“…Every year of waiting-list duration decreases car ownership by about 2 percentage points, which implies a price elasticity of car demand of −0.8. The (implicit) subsidy of a parking permit (with an average waiting duration of one year) induces an annual deadweight loss of about € 270 per permit, which is close to earlier findings by Van Ommeren et al (2014). However, we measure residential parking demand, while the latter paper focusses on parking supply near shopping centers and ignores further indirect welfare implications of residential parking, like the loss of product variety in shops because of less convenient visitor parking, as suggested by Molenda and Sieg (2013).…”
Section: Introductionsupporting
confidence: 71%
“…For example, a recent study by Van Ommeren et al (2014) for the Netherlands suggests that this elasticity is around one. Given a unit elasticity, the car supply function can be written as: ( ) = 0 + ( − 0 )( ⁄ ).…”
Section: Parking Policy and Welfarementioning
confidence: 99%
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“…Fei [24] concluded that parking in residential areas is regular, and their study showed that the parking rate of residential land presented a stable change trend within 10% of the number of parking spaces in the working period and rest day; Zhen [25] established a two-level programming induction model based on shared parking in the residential area, it was used to measure whether the guidance service can realize the balanced utilization of regional parking resources and whether shared parking was feasible; Jian [26] established the optimal allocation model of shared berth resources in residential areas. Ommeren [27], Inga [28], and others proposed the problems of parking lot utilization and parking space sharing in residential areas, but did not involve specific research on sharing implementation.…”
Section: Literature Reviewmentioning
confidence: 99%
“…1 In the US, on-street parking prices tend to be lower than prices of off-street parking offered by commercial providers. In European countries such as the Netherlands, on-street and off-street prices are about equal, as documented by Van Ommeren et al (2014).…”
Section: Introductionmentioning
confidence: 99%