Examining the relationship between built environment and urban parking demand from the perspective of travelers

Abstract

In order to systematically measure the influencing factors of urban parking demand and their action rules, this paper considers the impact of the built environment at the origin and destination of a trip from the perspective of travelers. Using travelers' parking willingness under the stated preference(SP) survey to represent parking demand. Travel attributes are characterized by 8 factors, such as parking cost and parking time. 12 variables from 5 dimensions are used to characterize the built environment. Furthermore, the Gradient Boosting Decision Tree(GBDT) model is carried out, and the Logit model is used as a compare method to measure the relationship and degree of travel behavior and built environment on parking demand. Based on multi-source heterogeneous data in Baoding city, the empirical analysis of commuter and non-commuter travel was performed. The results show that: (1) parking cost is the most important factor affecting the parking demand of travelers(19.94%), location (14.88%) and road density(11.30%) have significant influence; (2) Some built environment factors have an obvious threshold effect on travelers' parking demand and there is nonlinear influence; (3) There is a great difference between commuters and non-commuters. Such an approach would lead to more precise policy recommendations for urban parking planning.