2022
DOI: 10.1155/2022/2445693
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An Empirical Study on the Segmentation of Potential Users of Shared Parking Spaces considering Individual Heterogeneity

Abstract: Shared parking has become the most effective way to utilize existing parking resources. Little attention has been focused on drivers’ intention to use shared parking spaces in residential areas considering individual heterogeneity. To fill this gap, this paper explores the influencing factors and mechanism of shared parking use intention (SPUI) and further studies the preferences for the shared parking of different types of drivers. Firstly, based on the extended unified theory of acceptance and use of technol… Show more

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Cited by 3 publications
(1 citation statement)
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“…Therefore, when exploring whether customers' consumption levels are influenced by parking issues, it is crucial to consider their heterogeneity. Previous scholars have examined heterogeneity from various aspects, including individual economic attributes [8], psychological attributes [9], and travel characteristics [10]. Building upon previous research and considering the characteristics of TBD, this study introduces additional factors such as commercial preference (CP), preference for activities (PA), psychological factors related to hidden costs (HCP), conformity (CE), consumption habits, car types, and household attributes, aiming to conduct a more detailed analysis of latent customer classes.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, when exploring whether customers' consumption levels are influenced by parking issues, it is crucial to consider their heterogeneity. Previous scholars have examined heterogeneity from various aspects, including individual economic attributes [8], psychological attributes [9], and travel characteristics [10]. Building upon previous research and considering the characteristics of TBD, this study introduces additional factors such as commercial preference (CP), preference for activities (PA), psychological factors related to hidden costs (HCP), conformity (CE), consumption habits, car types, and household attributes, aiming to conduct a more detailed analysis of latent customer classes.…”
Section: Introductionmentioning
confidence: 99%