Analysis of the Travel Characteristics of Residents in Shanghai Using the Itinerary Data Collected from Smartphones

Travel data of urban residents is an important base for urban planning,traffic management and behavior research.Traditional methods such as face-to-face interview and paper-based questionnaire are of high cost and low accura-cy.This study develops a travel survey system based on GPS-enabled smartphones.A rule-based algorithm is proposed to extract travel information automatically from high-frequency GPS data collected by smartphones.A case study is carried out at New Tongji Village,a residential area in Shanghai.A comparison of travel data obtained from traditional question-naire-based surveys and smartphone-based surveys is also made.The results from the questionnaire survey are used to im-prove the parameters of the trip generation model based on the data from the smartphone-based survey,and the inaccura-cy in traditional questionnaire-based survey is also studied.It is shown that the overall error of the traditional survey is a-bout 33%,and the error for non-home-based travel is as high as 1 59%.Finally,travel behavior of urban residents is also analyzed based on the data from smartphone-based survey.