520 / 2019-02-28 18:33:07

A study on Spatial and Temporal Patterns of Travel Behavior of Urban Population in Wuhan City based on LBS and POI Data

the spatial correlation,travel behavior,the spatial and temporal pattern

全体主题 > Big data in Urban Planning and Management

The emergence of some new data, such as Baidu Heat Map and POI（Point of Interest）, provides new ideas and methods for urban plan-ning research. Researching the spatial and temporal patterns of travel be-havior of urban population can help evacuate people effectively, avoid traffic congestion, rationally allocate urban public resources and optimize urban spatial structure. Based on Baidu Heat Map originated from LBS (Location Based Service) and POI data of two typical days (weekend and workday) of 2018, this paper analyzes the spatial and temporal characteristics of travel behavior of crowds in central urban area of Wuhan by ArcGIS software, the travel behavior is mainly defined by the intensity of population activities and the hotspots of interest crowds gather around. In terms of time, based on Baidu Heat Map, the change of population aggregation intensity in a day is studied by counting the heat value of 12 moments captured during the day. The results show that on rest days, people prefer to travel in the af-ternoon and noon, reaching the highest peak of the day around 15 o'clock, while on working days, residents' activities are affected by com-muting, and there are the morning rush hours and the evening rush hours around 9 o'clock and 18 o'clock respectively. Spatially, the spatial correlation between the density of POI distribution and the degree of population aggregation has been studied by the spatial coupling relation-ship between the Baidu Heat Map and POI data. Secondly, the differ-ences of travel behavior in the rush hours of weekends and working days are analyzed by counting the proportion of POI distribution in high ag-glomeration areas: in the rush hours of rest days, people's travel destina-tions are mainly gathering around accommodation service, place of enter-tainment and beauty salon, while on workday employment centers and transportation hubs such as companies, financial and insurance institu-tion are more attractive to residents.