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 pol...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.展开更多
目的:评价运动处方、普通心理、认知行为和团体辅导这四种不同干预措施对大学生手机依赖的效果。方法:检索PubMed、Web of Science、Embase、知网等数据库,收集四种干预措施对大学生手机依赖的文献,运用Revman5.3和Stata14.2软件进行数...目的:评价运动处方、普通心理、认知行为和团体辅导这四种不同干预措施对大学生手机依赖的效果。方法:检索PubMed、Web of Science、Embase、知网等数据库,收集四种干预措施对大学生手机依赖的文献,运用Revman5.3和Stata14.2软件进行数据分析。结果:共纳入39篇文献,Meta结果显示:与对照组相比,四种干预措施都能够有效减轻大学生手机依赖,均具有统计学意义。SUCRA值的排序结果:运动处方>认知行为>团体辅导>普通心理>无任何干预的对照组。结论:运动处方干预、普通心理干预、认知行为干预和团体辅导干预都能够有效减轻大学生的手机依赖,而相比于其他三种措施,运动处方成为最优措施的可能性最高,其他依次是认知行为干预、团体辅导干预和普通心理干预。展开更多
人群在城市内部空间中的流动是社会活力和资源分配的直接体现,是城市交通规划管理的重要依据。融合手机信令大数据和POI(point of interests)数据,对福州市主城区内的交通小区进行功能分区并构建了交通小区之间的空间交互网络,采用复杂...人群在城市内部空间中的流动是社会活力和资源分配的直接体现,是城市交通规划管理的重要依据。融合手机信令大数据和POI(point of interests)数据,对福州市主城区内的交通小区进行功能分区并构建了交通小区之间的空间交互网络,采用复杂网络方法对各类型功能区的中心性地位及出行距离衰减效应进行了分析。结果表明:福州市主城区功能区以居住及公共服务相关功能区为主。鼓楼区和台江区的人流量最为活跃,仓山区及晋安区的内部空间交互格局存在显著的不平衡现象。各功能区的中心性地位存在明显的空间和周期差异,科教文化及商服类型功能区的中心性普遍较高。居住用地与其他功能区之间的距离衰减效应受到时段的影响较大。基于以上结果可对城市公共交通优化提供一定支持。展开更多
文摘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.
文摘目的:评价运动处方、普通心理、认知行为和团体辅导这四种不同干预措施对大学生手机依赖的效果。方法:检索PubMed、Web of Science、Embase、知网等数据库,收集四种干预措施对大学生手机依赖的文献,运用Revman5.3和Stata14.2软件进行数据分析。结果:共纳入39篇文献,Meta结果显示:与对照组相比,四种干预措施都能够有效减轻大学生手机依赖,均具有统计学意义。SUCRA值的排序结果:运动处方>认知行为>团体辅导>普通心理>无任何干预的对照组。结论:运动处方干预、普通心理干预、认知行为干预和团体辅导干预都能够有效减轻大学生的手机依赖,而相比于其他三种措施,运动处方成为最优措施的可能性最高,其他依次是认知行为干预、团体辅导干预和普通心理干预。
文摘人群在城市内部空间中的流动是社会活力和资源分配的直接体现,是城市交通规划管理的重要依据。融合手机信令大数据和POI(point of interests)数据,对福州市主城区内的交通小区进行功能分区并构建了交通小区之间的空间交互网络,采用复杂网络方法对各类型功能区的中心性地位及出行距离衰减效应进行了分析。结果表明:福州市主城区功能区以居住及公共服务相关功能区为主。鼓楼区和台江区的人流量最为活跃,仓山区及晋安区的内部空间交互格局存在显著的不平衡现象。各功能区的中心性地位存在明显的空间和周期差异,科教文化及商服类型功能区的中心性普遍较高。居住用地与其他功能区之间的距离衰减效应受到时段的影响较大。基于以上结果可对城市公共交通优化提供一定支持。
