구조방정식모형(SEM)을 활용한 실시간 교통정보 선호도 분석 : 경산시 사례를 중심으로

Abstract

The objective of this study is to analyze factors affecting preference of real-time traffic information by using structural equation modeling(SEM). It was based on a survey of 1,021 randomly-selected residents and commuters in Gyeongsan City, which is a satellite city of Deagu Metropolitan City. We conducted some descriptive statistical analyses and hypotheses testing, and estimated an SEM for analyzing factors affecting preference of real-time traffic information and real-time transit information. The SEM estimated for this research shows that frequency of auto use, trip purpose, and frequency of real-time traffic information use are critical factors affecting the preference of real-time traffic information. Moreover, frequency of bus or subway use and frequency of bus information use are found to be important factors affecting the preference of real-time transit information. In addition, education, age, number of autos in household, and ‘whether to drive or not’ are found to be important factors affecting both the preference of real-time traffic information and the preference of real-time transit information. Based on the results, some important findings and policy implications are discussed, and some limitations of the research and future research directions are suggested.