Traveler Activity Analysis of Typical Buildings: Based on Cell Phone Signaling Data

摘要

Traveler activity analysis is essential to traffic organization and urban planning. Different types of buildings such as residential units, shopping malls, and core business district possess different features. This paper applies continuous, complete, and high-quality raw cell phone signaling data to extract both temporal and spatial features of different buildings divided by different trip modes. Based on the cell phone signaling row data of 92 consecutive days (August, September, and October 2017) in Suzhou, China, visualizations of hotspots of high-frequency traveler activity were plotted. Then, features of trips provide a temporal and spatial early warning recommendation. Both the attraction and production volume of certain building influence regions are calculated to predict the short-term flow development trend based on a time series method to better avoid crashes and trampling accidents.