Research on parking sharing strategies considering user overtime parking.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 14 10 2019
accepted: 12 05 2020
entrez: 11 6 2020
pubmed: 11 6 2020
medline: 19 8 2020
Statut: epublish

Résumé

A parking sharing strategy is proposed to solve the problems of parking difficulty caused by the imbalance between parking spaces and parking demand. The vacant parking spaces of residential area can be efficiently utilized to meet the parking demands of those who are working at nearby or come for other activities based on the parking sharing strategy. The paper analyzes the distribution of vehicle arrival numbers and parking durations, then establishes a shared parking allocation model aiming to maximize the parking benefit considering the overtime-parking behavior of the parking users. Simulation methods are used to the analyze the relationship among the parking benefit, proportion of reserved parking, numbers of parking demand, acceptance rate of parking demand and utilization of shared parking spaces. Then, based on the principle of maximum parking benefit, we can determine the optimal proportion of reserved parking, number of shared parking spaces that should be purchased from the residents. Taking the utilization of shared parking spaces as an indicator, the validity of the static allocation principle is proved to be effective. Some allocation rules for parking demand are proposed to guarantees the maximum parking revenue and minimum impact on residents simultaneously.

Identifiants

pubmed: 32520933
doi: 10.1371/journal.pone.0233772
pii: PONE-D-19-26803
pmc: PMC7286510
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0233772

Commentaires et corrections

Type : ErratumIn

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Xin Huang (X)

College of Transportation Engineering, Key Laboratory of Transport Industry of Management Control and Cycle Repair Technology for Traffic Network Facilities in Ecological Security Barrier Area, Chang' an University, Xi'an, Shan Xi, China.

Xueqin Long (X)

College of Transportation Engineering, Key Laboratory of Transport Industry of Management Control and Cycle Repair Technology for Traffic Network Facilities in Ecological Security Barrier Area, Chang' an University, Xi'an, Shan Xi, China.

Jianjun Wang (J)

College of Transportation Engineering, Key Laboratory of Transport Industry of Management Control and Cycle Repair Technology for Traffic Network Facilities in Ecological Security Barrier Area, Chang' an University, Xi'an, Shan Xi, China.

Lan He (L)

Hefei Research Center of Urban and Rural Construction and Development, Hefei, China.

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Classifications MeSH