Correlation between digital and physical world, case study in Thessaloniki

IF 1.2 Q4 TELECOMMUNICATIONS

Journal of Location Based Services Pub Date : 2017-04-03 DOI:10.1080/17489725.2017.1420257

Josep Maria Salanova Grau, I. Toumpalidis, Emmanouil Chaniotakis, N. Karanikolas, Georgia Aifandopoulou

{"title":"Correlation between digital and physical world, case study in Thessaloniki","authors":"Josep Maria Salanova Grau, I. Toumpalidis, Emmanouil Chaniotakis, N. Karanikolas, Georgia Aifandopoulou","doi":"10.1080/17489725.2017.1420257","DOIUrl":null,"url":null,"abstract":"Abstract This study investigates the use of geo-referenced social media data for enhancing the transportation planning capabilities. A methodological framework is defined for the identification of the citizens’ mobility patterns using social media data, which consists of a number of check-in events that are made through the Facebook service and 1200 taxis’ floating car data for the city of Thessaloniki, during the period of February of 2016. Focus is paid on the derivation of taxi demand forecasting models using the number of check-in events through spatial statistic and analytical tools. The results illustrate the actual correlation of demand for taxis to the check-in events, while it is noted that models should take into account the temporal and spatial offset of the demand production to the check-in events. The results show that the correlation is better during the evening and night hours, since during the morning and afternoon most tips are homework based and people does not check-in at their place of work or at home.","PeriodicalId":44932,"journal":{"name":"Journal of Location Based Services","volume":"11 1","pages":"118 - 132"},"PeriodicalIF":1.2000,"publicationDate":"2017-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17489725.2017.1420257","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Location Based Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17489725.2017.1420257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}

引用次数: 4

Abstract

Abstract This study investigates the use of geo-referenced social media data for enhancing the transportation planning capabilities. A methodological framework is defined for the identification of the citizens’ mobility patterns using social media data, which consists of a number of check-in events that are made through the Facebook service and 1200 taxis’ floating car data for the city of Thessaloniki, during the period of February of 2016. Focus is paid on the derivation of taxi demand forecasting models using the number of check-in events through spatial statistic and analytical tools. The results illustrate the actual correlation of demand for taxis to the check-in events, while it is noted that models should take into account the temporal and spatial offset of the demand production to the check-in events. The results show that the correlation is better during the evening and night hours, since during the morning and afternoon most tips are homework based and people does not check-in at their place of work or at home.

查看原文本刊更多论文

数字世界与现实世界的关联，塞萨洛尼基案例研究

摘要本研究探讨了地理参考社交媒体数据在提高交通规划能力方面的应用。定义了一个方法框架，用于使用社交媒体数据识别公民的移动模式，该数据包括2016年2月期间通过Facebook服务进行的许多签到事件和塞萨洛尼基市1200辆出租车的浮动车辆数据。重点是通过空间统计和分析工具，利用登记事件的数量推导出租车需求预测模型。结果说明了出租车需求与签到事件的实际相关性，同时指出模型应考虑需求生产对签到事件的时空偏移。结果显示，在晚上和晚上的时间里，这种相关性更好，因为在上午和下午，大多数提示都是基于家庭作业的，人们不会在工作地点或家里签到。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Location Based Services TELECOMMUNICATIONS-

CiteScore

3.70

自引率

8.70%

发文量

期刊介绍： The aim of this interdisciplinary and international journal is to provide a forum for the exchange of original ideas, techniques, designs and experiences in the rapidly growing field of location based services on networked mobile devices. It is intended to interest those who design, implement and deliver location based services in a wide range of contexts. Published research will span the field from location based computing and next-generation interfaces through telecom location architectures to business models and the social implications of this technology. The diversity of content echoes the extended nature of the chain of players required to make location based services a reality.