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Monitoring travel patterns in German city regions with the help of mobile phone network data
International Journal of Digital Earth ( IF 5.1 ) Pub Date : 2020-10-22 , DOI: 10.1080/17538947.2020.1836048
Stefan Fina 1 , Jigeeshu Joshi 2 , Dirk Wittowsky 3
Affiliation  

ABSTRACT

This paper discusses the possibility to use mobile phone network data to monitor spatial policies in land use and transport planning. Monitoring requires robust time series and reproducible concepts linking spatial policies to monitoring outcomes, a requirement differing from current literature where mobile phone data analysis is exemplified in selected areas with privileged data access. Concepts need to serve the evaluation of policy objectives, for example in regional or local area plans. In this study, we, therefore, extend the application of mobile phone network data to monitoring applications comparing urban settlement types and their characteristic mobility patterns. To accomplish this, we link mobile phone records with urban classifications and transport network data, using both visual and computational approaches to mine the data. The article presents comparisons of travel patterns for selected monocentric and polycentric city regions in Germany, testing hypotheses of transit-oriented regional development, as well as testing for congestion risks in the transport network. The results help us to gain a more detailed understanding of spatial and temporal patterns in mobility for different urban types and assess future potentials for monitoring spatial policies with mobile phone network data.



中文翻译:

借助手机网络数据监控德国城市地区的出行方式

摘要

本文讨论了使用手机网络数据监视土地使用和运输规划中的空间政策的可能性。监视需要可靠的时间序列和可重现的概念,这些概念需要将空间政策与监视结果联系起来,这一要求不同于当前的文献,在现有文献中,在具有特权数据访问权限的选定区域中以手机数据分析为例。概念需要服务于政策目标的评估,例如在区域或地方计划中。因此,在这项研究中,我们将移动电话网络数据的应用范围扩展到监视比较城市居民点类型及其特征移动性模式的应用程序。为此,我们使用可视和计算方法来挖掘数据,将手机记录与城市分类和交通网络数据相关联。本文介绍了德国部分单中心城市地区和多中心城市地区的出行方式比较,测试了以公交为导向的区域发展的假设,以及测试了交通网络中的交通拥堵风险。结果有助于我们更详细地了解不同城市类型的出行时空格局,并评估未来使用手机网络数据监测空间政策的潜力。

更新日期:2020-10-22
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