대한교통학회지 (Journal of Korean Society of Transportation)

  • 제32권6호
  • /
  • Pages.638-650
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  • 2014
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  • 1229-1366(pISSN)
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  • 2234-4217(eISSN)
대한교통학회 (Korean Society of Transportation)
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보행에 대한 도시환경의 차이: 서울 도심을 중심으로

Effects of Urban Environments on Pedestrian Behaviors: a Case of the Seoul Central Area

  • 권대영 (서울대학교 농경제사회학부 지역정보전공) ;
  • 서동주 (서울대학교 농경제사회학부 지역정보전공) ;
  • 김소윤 (서울대학교 농경제사회학부 지역정보전공) ;
  • 김홍석 (서울대학교 농경제사회학부 지역정보전공)
  • Kwon, Daeyoung (Program in Regional Information, Department of Agricultural Economics and Rural Development, Seoul National University) ;
  • Suh, Tongjoo (Program in Regional Information, Department of Agricultural Economics and Rural Development, Seoul National University) ;
  • Kim, Soyoon (Program in Regional Information, Department of Agricultural Economics and Rural Development, Seoul National University) ;
  • Kim, Brian Hong Sok (Program in Regional Information, Department of Agricultural Economics and Rural Development, Seoul National University)
  • 투고 : 2014.10.01
  • 심사 : 2014.12.08
  • 발행 : 2014.12.31
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초록

본 연구의 목적은 서울 도심지역의 행정동별 지역적 요소와 계획적 요소가 목적지로의 통행수단으로서 보행을 결정하는 것에 미치는 영향의 정도를 파악하고, 이에 대한 분석 결과 및 보행의 공간적 특성을 통해 지역별 특성을 파악하고자 함에 있다. 보행 결정에 영향을 미치는 요소들의 영향 정도를 파악하기 위해 본 연구에서는 전역적 차원의 회귀분석 모형인 최소자승모형을 사용하였고, 이와 더불어 다양한 공간통계 분석모형 중 지역별 보행특성을 기반으로 공간적 이질성을 고려하는 지리가중회귀모형의 적용을 통해 지역별 특성을 파악하고자 하였다. 전역적 차원의 회귀분석 결과 목적지로의 보행 선택에 영향을 주는 요소로는 지역적 요소 중 교통시설 지역 및 상업지역, 대학교 면적이, 계획적 요소 중에서는 교육.연구시설 및 계획시설 면적이 보행 선택에 정의 영향을 주었다. 마지막으로 지리가중회귀모형의 분석 결과를 통해 서울 도심지역 중 교통중심지 및 취약지, 상업 업무 중심지, 대학가 중심지, 연구시설 밀집지를 파악할 수 있었다. 본 연구의 결과를 통해 지역 및 공간적 이질성에 대한 이해 없이 진행되었던 기존의 계획 및 정책들에 지역적 특성이라는 정보를 제공함으로 이에 대한 반영의 여지를 주어 보다 지역발전 차원의 계획 수립에 기여할 수 있을 것이라는 점에 본 연구의 의의가 있을 것이라 여겨진다.

The objective of this study is to identify the causes of pedestrian volume path to the destination by investigating the influential levels of regional and planning features in the central area of Seoul. Regional characteristics can be classified from the result of the analysis and through the spatial characteristics of pedestrian volume. For global scale analysis, Ordinary Least Squares (OLS) regression is used for the degree of influence of each characteristics to pedestrian volume. For the local scale, Geographically Weighted Regression (GWR) is used to identify regional influential factors with consideration for spatial differences. The results of OLS indicate that boroughs with transportation facilities, commercial business districts, universities, and planning features with education research facilities and planning facilities have a positive effect on pedestrian volume path to the destination. Correspondingly, transportation hubs and congested areas, commercial and business centers, and university towns and research facilities in the Seoul central area can be identified through the results of GWR. The results of this study can provide information with relevance to existing plans and policies about the importance of regional characteristics and spatial heterogeneity effects on pedestrian volume, as well as significance in the establishment of regional development plans.

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