详情

原文传递 User-Centric Interdependent Urban Systems: Using Energy Use Data and Social Media Data to Improve Mobility.

题名：	User-Centric Interdependent Urban Systems: Using Energy Use Data and Social Media Data to Improve Mobility.
作者：	Qian, Z.; Yao, W.; Zhang, P.
关键词：	Energy consumption, Social media, Highways, Traffic management, Commuting, Mobility, Optimization, Spatial analysis, Urban areas, Operations, Planning, Forecasting, Carnegie Mellon University
摘要：	Central to smart cities is the complex nature of interrelationships among various urban systems. Linking all urban systems is the system users. The individual daily activities engages using those urban systems at certain time of day and locations. There may exist clear spatial and temporal correlations among usage patterns of all urban systems. The objective of this research is to fuse and analyze massive data from transportation, energy, and social media systems to discover the spatio-temporal correlations of usage patterns among those systems. Two questions will be addressed using the data collected in the City of Pittsburgh and Carnegie Mellon University (CMU) buildings energy use. 1) What can we tell about the morning commute by knowing households’ utility or social media use the night before? and how can we optimally manage the morning commute using this new information? 2) What can we tell about the evening commute by knowing building energy use or social media activities during the daytime? and how can we optimally manage the evening commute using this new information?
报告类型：	科技报告