Time Window Delineation for Shared Parking in Urban Center

The key to solving parking problem in urban centers using shared parking strategy lies in parking demand prediction and time window delineation for shared parking spaces. By analyzing the temporal distribution of parking demand for different land types, the influence of public transport on the deman...

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Main Authors: Xue Han, Chen Li
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/09/e3sconf_icuems2023_02011.pdf
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author Xue Han
Chen Li
author_facet Xue Han
Chen Li
author_sort Xue Han
collection DOAJ
description The key to solving parking problem in urban centers using shared parking strategy lies in parking demand prediction and time window delineation for shared parking spaces. By analyzing the temporal distribution of parking demand for different land types, the influence of public transport on the demand for private car trips, and the analysis of residents’ behavior of parking sharing, a behavioral choice-parking generation rate prediction model for shared parking demand is constructed. And on this basis, the study also lays emphasis on the principles and methods of parking time windows, predicts the number of available parking spaces and reserved parking spaces during the parking sharing period, and identifies the time windows for shared parking in the urban center.
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spelling doaj.art-0d57ce2a458f4158a0c8d3c923f028b32023-03-09T12:02:48ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013720201110.1051/e3sconf/202337202011e3sconf_icuems2023_02011Time Window Delineation for Shared Parking in Urban CenterXue Han0Chen Li1College of Civil Engineering, Wanjiang University of Technology, China Nanjing Citypost Institute of City & Transport Planning Co., Ltd.College of Civil Engineering, Wanjiang University of Technology, China Nanjing Citypost Institute of City & Transport Planning Co., Ltd.The key to solving parking problem in urban centers using shared parking strategy lies in parking demand prediction and time window delineation for shared parking spaces. By analyzing the temporal distribution of parking demand for different land types, the influence of public transport on the demand for private car trips, and the analysis of residents’ behavior of parking sharing, a behavioral choice-parking generation rate prediction model for shared parking demand is constructed. And on this basis, the study also lays emphasis on the principles and methods of parking time windows, predicts the number of available parking spaces and reserved parking spaces during the parking sharing period, and identifies the time windows for shared parking in the urban center.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/09/e3sconf_icuems2023_02011.pdf
spellingShingle Xue Han
Chen Li
Time Window Delineation for Shared Parking in Urban Center
E3S Web of Conferences
title Time Window Delineation for Shared Parking in Urban Center
title_full Time Window Delineation for Shared Parking in Urban Center
title_fullStr Time Window Delineation for Shared Parking in Urban Center
title_full_unstemmed Time Window Delineation for Shared Parking in Urban Center
title_short Time Window Delineation for Shared Parking in Urban Center
title_sort time window delineation for shared parking in urban center
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/09/e3sconf_icuems2023_02011.pdf
work_keys_str_mv AT xuehan timewindowdelineationforsharedparkinginurbancenter
AT chenli timewindowdelineationforsharedparkinginurbancenter