Modeling and empirical analyses of parking space choices based on individual preferences

doi:10.16511/j.cnki.qhdxxb.2017.21.019

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Abstract A parking space choice model based on personal preferences was developed for large parking lots to analyze the utility of parking spaces in shopping mall parking lots. The driver's behaviorial characteristics when parking are analyzed based on personal preferences which are assigned into three groups (inherence, skill and affordability) using a multinomial Logit model to analyze the impacts of the preferences on parking choices. A parking choice utility model with multiple variants based on personal preferences was then used to study driver behavior in the parking lot of the Beijing IKEA store. The results show that skill preferences have the most significant impact on the parking space choice. This model can accurately evaluate driver behavior when choosing the parking spaces.

Keywords parking guidance personal preferences parking space utility disaggregate analysis multivariate comprehensive evaluation

ZTFLH:

U491.7

Issue Date: 15 January 2017

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	LIANG Wei
	HU Jianming
	ZHANG Yi
	ZHANG Zuo
	WANG Ziwei

Cite this article:

LIANG Wei,HU Jianming,ZHANG Yi, et al. Modeling and empirical analyses of parking space choices based on individual preferences[J]. Journal of Tsinghua University(Science and Technology), 2017, 57(1): 100-106.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2017.21.019 OR http://jst.tsinghuajournals.com/EN/Y2017/V57/I1/100

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