{"title":"Parking reservation techniques: A review of research topics, considerations, and optimization methods","authors":"Xinying Zhang , Kelly Pitera , Yuanqing Wang","doi":"10.1016/j.jtte.2023.07.009","DOIUrl":null,"url":null,"abstract":"<div><div>Growing private vehicle use and a limited supply of parking resources have increased competition for parking spaces. Ineffective searching for parking spaces is a significant barrier to smooth traffic flow. Smart technology-generated parking reservations are regarded as an excellent way to increase parking efficiency and lessen traffic. Although there is increased attention on smart parking research and parking reservation optimization, a scoping review is currently lacking. Therefore, the purpose of this paper is to provide a comprehensive review of the research literature related to parking reservations. Out of the original 438 publications identified in this search, 99 were eventually chosen for analysis. The review categorized parking reservations into four research topics: inventory control, allocation decisions, pricing strategies, and performance evaluation. The elements considered in these research themes, modeling techniques, and evaluation criteria are explored in detail. In addition, the challenges and further enhancements of parking reservation optimization are discussed. It is believed that the findings from this study will be beneficial in further research on parking reservations.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"10 6","pages":"Pages 1099-1117"},"PeriodicalIF":7.4000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Traffic and Transportation Engineering-English Edition","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2095756423001253","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
Growing private vehicle use and a limited supply of parking resources have increased competition for parking spaces. Ineffective searching for parking spaces is a significant barrier to smooth traffic flow. Smart technology-generated parking reservations are regarded as an excellent way to increase parking efficiency and lessen traffic. Although there is increased attention on smart parking research and parking reservation optimization, a scoping review is currently lacking. Therefore, the purpose of this paper is to provide a comprehensive review of the research literature related to parking reservations. Out of the original 438 publications identified in this search, 99 were eventually chosen for analysis. The review categorized parking reservations into four research topics: inventory control, allocation decisions, pricing strategies, and performance evaluation. The elements considered in these research themes, modeling techniques, and evaluation criteria are explored in detail. In addition, the challenges and further enhancements of parking reservation optimization are discussed. It is believed that the findings from this study will be beneficial in further research on parking reservations.
期刊介绍:
The Journal of Traffic and Transportation Engineering (English Edition) serves as a renowned academic platform facilitating the exchange and exploration of innovative ideas in the realm of transportation. Our journal aims to foster theoretical and experimental research in transportation and welcomes the submission of exceptional peer-reviewed papers on engineering, planning, management, and information technology. We are dedicated to expediting the peer review process and ensuring timely publication of top-notch research in this field.