Research On Residents’ Multi-day Trip Characteristics Based On Mobile GPS Travel Survey

With the rapid development of China’s urbanization in recent years,the operation efficiency of transportation system has become an important factor in the development of cities.In order to ease city problems like traffic congestion,the society should pay more attention to optimizing the traffic resource allocation,making better transportation demand policy and improving urban space layout.To achieve this purpose,a better understanding of urban residents’ travel demand,travel mode and travel rules is seriously needed.In terms of residents’ trip information collection,an innovative way to accomplish travel survey with mobile GPS data and Internet technologies is proposed.This method is an improvement of the traditional travel surveys.In terms of analyzing residents’ multi-day trip characteristics,this paper comes with the concept and measure method of residents’ multi-day index of trip characteristics,in order to enrich the theory system of multi-day travel behavior and provide reference to the layout of urban space and travel demand management.Individual trip characteristics reflects the combination of several important indicators,such as travel frequency,distance,time,mode and purpose.Based on a GPS-facilitated activity-travel survey dataset collected in Shanghai in 2014 and 2015,this paper analyzes the travel indicators mentioned above and defines four groups of different residents’ multi-day indexs of trip characteristics by means of k-means clustering,which are “multi-mode”,“multi-purpose”,“long-distance” and “inactivity”.The study finds that there are intergroup differences in residents’ multi-day trip characteristics between weekdays and weekends among the four groups.Furthermore,this paper analyzes the impact of residents’ multi-day index of trip characteristics by examining the relationship between residents’ multi-day index of trip characteristics and socio-demographic factors using a multinomial logit model.Taking most important indicators of travel behavior into consideration,the concept of residents’ multi-day index of trip characteristics provides an effective and reasonable way to understand complicated activity-travel behavior of urban residents and the travel demand’s feedback effect to the urban space and transportation policy.