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Analysis of Impact on Commuting Behavior in Urban and Rural Areas using Travel Diary Survey Data

가구통행실태조사 데이터를 이용한 도시지역과 농촌지역의 통근시간에 미치는 영향 비교 분석

  • Jeon, Jeongbae (Spatial Information Research Institute, Korea Land and Geospatial Informatix Corporation) ;
  • Park, Meejeong (Department of Agricultural Environment Rural Environment & Resources Division, National Academy of Agricultural Science, Rural Development Administration) ;
  • Kim, Sangmin (Spatial Information Research Institute, Korea Land and Geospatial Informatix Corporation) ;
  • Kim, Solhee (Interdisciplinary Program in Agricultural and Forest Meteorology, Seoul National University) ;
  • Kwon, Sung Moon (Spatial Information Research Institute, Korea Land and Geospatial Informatix Corporation)
  • 전정배 (한국국토정보공사 공간정보연구원) ;
  • 박미정 (농촌진흥청 국립농업과학원 농촌환경자원과) ;
  • 김상민 (한국국토정보공사 공간정보연구원) ;
  • 김솔희 (서울대학교 농업생명과학대학 협동과정 농림기상학전공) ;
  • 권성문 (한국국토정보공사 공간정보연구원)
  • Received : 2019.04.17
  • Accepted : 2019.08.27
  • Published : 2019.08.30

Abstract

This study is to identify the factors affecting commuting time and modes in urban and rural areas using household traffic survey data. The findings indicated that commuting time using passenger car in rural areas was 1.6 times longer than those in urban areas. When citizen use public transportation, however, there was not much difference in commuting time in urban and rural areas. Among the various factors affecting commuting time in rural areas (13 factors have statistical significance), the most influential factors were that public transportation, managers and office workers, functional and device managers, and passenger car. In urban areas, the highly influential factors were public transportation and walking among the 16 affecting factors which have statistical significance. The commuting time in rural areas increased according to the occupation types, but the commuting time of full-time workers decreased. This phenomenom means that occupation groups with the full-time system prefer residential areas in the densely populated town.

Keywords

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