Residents'Leisure and Entertainment Travel Preference and Urban Residential-Leisure Function Pattern:A Case Study of Xi'an
Exploring the spatial preference of urban residents'leisure and entertainment travel can provide an important basis for improving residents'leisure experience and optimizing the allocation of urban entertainment industry.Based on one-week mobile signaling data of urban residents in Xi'an,this paper analyzes the leisure and entertainment travel preferences of urban residents and the spatial connection pattern between urban residential and leisure functions from the perspective of time and space nodes and residents'travel preferences by using kernel density analysis and spatial constraint spectrum clustering.It is found as fol-lows.① The leisure and entertainment travel behavior of residents in Xi'an has regularity and difference in time.There are differences in the peak time points of leisure and entertainment travel volume of the residents between weekdays and weekends,showing a spatial pattern of"multi-center clustering,with higher central areas and lower peripheral areas".② A total of 108 leisure and entertainment travel preference nodes of 13 types of residents are selected.The node level gradually decreases with the diffusion of the urban center to the peripheral areas.Residents have a higher preference for short and relatively short dis-tance leisure and entertainment travel nodes,while high-level preference nodes show the"southward"distribution characteris-tic.③ Due to the constraints of urban physical space and transportation conditions,there is a clear phenomenon of regional clus-tering in the leisure and entertainment behaviors of residents in the urban area of Xi'an,with an overall"Chuan(川)"shaped pattern.The core cluster has the characteristics of"large scope,large number of streets,and crossing multiple circles",and resi-dential-leisure function connection between the east and west sides of the city and the core urban area needs to be further strengthened.
leisure and entertainmentresidents'travel behaviormobile phone signalingspatial and temporal characteris-ticsXi'an
NETL
NSTL
万方数据
