Andrés Rodríguez, Borja Alonso, Jose Luis Moura, Luigi dell’Olio
{"title":"Analysis of user behavior in urban parking under different level of information scenarios provided by smart devices or connected cars","authors":"Andrés Rodríguez, Borja Alonso, Jose Luis Moura, Luigi dell’Olio","doi":"10.1016/j.tbs.2024.100847","DOIUrl":null,"url":null,"abstract":"<div><p>Due to the issues of land redevelopment and changes of use within urban areas, many cities must adopt measures to reorganise and optimise parking space. This paper proposes a methodology to study one of them by implementing parking information systems (PIS). This solution offers users a competitive advantage by allowing them to know about the free parking spaces at the moment of decision-making. To achieve this goal, microscopic simulations are conducted to analyse the effects of various scenarios involving the implementation of PIS. The data used in these simulations is obtained from the Santander area in Spain. For the evaluation of results, a methodology has been developed that combines the evaluation of social factors for citizens and operational impacts for decision-makers. The results show significant improvements with increasing user information rate, e.g., the number of unsuccessful parking attempts before finding a final parking space is reduced by 55%, and 37% less particulate pollutants are emitted into the atmosphere.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":null,"pages":null},"PeriodicalIF":5.1000,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214367X24001108/pdfft?md5=2d377a1994a402a117586f0e8325511e&pid=1-s2.0-S2214367X24001108-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Travel Behaviour and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214367X24001108","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0
Abstract
Due to the issues of land redevelopment and changes of use within urban areas, many cities must adopt measures to reorganise and optimise parking space. This paper proposes a methodology to study one of them by implementing parking information systems (PIS). This solution offers users a competitive advantage by allowing them to know about the free parking spaces at the moment of decision-making. To achieve this goal, microscopic simulations are conducted to analyse the effects of various scenarios involving the implementation of PIS. The data used in these simulations is obtained from the Santander area in Spain. For the evaluation of results, a methodology has been developed that combines the evaluation of social factors for citizens and operational impacts for decision-makers. The results show significant improvements with increasing user information rate, e.g., the number of unsuccessful parking attempts before finding a final parking space is reduced by 55%, and 37% less particulate pollutants are emitted into the atmosphere.
由于城市区域内的土地重建和用途改变问题,许多城市必须采取措施重组和优化停车空间。本文提出了一种通过实施停车信息系统(PIS)来研究其中一个问题的方法。这种解决方案能让用户在做出决策时了解空闲停车位的情况,从而为用户提供竞争优势。为实现这一目标,本文进行了微观模拟,以分析实施 PIS 的各种方案的影响。模拟中使用的数据来自西班牙桑坦德地区。为了对结果进行评估,我们开发了一种方法,将对公民的社会因素评估和对决策者的操作影响评估结合起来。结果表明,随着用户信息率的提高,情况有了明显改善,例如,在找到最终停车位之前尝试停车失败的次数减少了 55%,排放到大气中的颗粒污染物减少了 37%。
期刊介绍:
Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.