DOI QR코드

DOI QR Code

서울시 유동인구조사자료를 활용한 보행특성 분석: 서울시 5개 생활권역을 중심으로

Analyzing Pedestrian Characteristics Using the Seoul Floating Population Survey: Focusing on 5 Urban Communities in Seoul

  • 이향숙 (인천대학교 동북아물류대학원) ;
  • 김지윤 (홍익대학교 도시공학과) ;
  • 추상호 (홍익대학교 도시공학과)
  • Lee, Hyang Sook (Graduate School of Logistics, Incheon National University) ;
  • Kim, Ji Yoon (Department of Urban Design and Planning, Hongik University) ;
  • Choo, Sang Ho (Department of Urban Design and Planning, Hongik University)
  • 투고 : 2014.04.22
  • 심사 : 2014.06.18
  • 발행 : 2014.08.31

초록

본 연구는 서울시 유동인구조사자료를 토대로 5개 생활권역의 보행특성을 비교 분석하였다. 우선 권역별로 총 보행량, 시간대별 보행량, 조사지점 속성에 따른 보행량의 차이를 분석하고, 다중선형회귀분석을 통해 평일과 주말보행량에 영향을 미치는 요인을 규명하였다. 분석결과, 대부분의 권역에서 중앙선, 버스정류장, 횡단보도가 있는 경우 유동인구가 증가하였으나, 도심권에서는 반대의 현상이 나타났다. 모든 권역에서 상업지역은 보행의 유발요인인 반면, 경사로는 보행의 방해요인인 것으로 나타났다. 회귀분석 결과에 의하면 다양한 통행특성지표, 토지이용지표, 사회적지표 및 조사지점 속성이 유동인구에 영향을 미치는 것으로 나타났다. 유동인구와 상관성을 보이는 변수는 권역에 따라 다소 상이하였으며, 영향을 미치는 정도도 다름을 확인할 수 있었다. 본 연구는 보행량을 종속변수로 하여 영향요인을 규명한 것으로 향후 보행환경 개선을 위한 정책수립시 기초자료로 활용할 수 있을 것이다.

This paper analyzes and compares the pedestrian characteristics of 5 urban communities with 2012 Seoul floating population survey data. First of all, differences in total pedestrian volumes and time distribution of the volumes are compared across the 5 urban communities and the effects of pedestrian road properties are investigated. Then, we conduct a regression analysis to find factors influencing pedestrian volume according to the type of urban community and day of week. As results, the urban community had the greatest volume and the volume increased significantly at lunch time. Center bus lane, bus stop, and crosswalk lead to more trips in the urban community, while opposite patterns occurred in the other communities. Less slopes and commercial region areas caused more trips in all communities. Regression analysis results showed that a variety of variables including demographic indices, land use type and pedestrian road properties differently affect pedestrian volumes in individual urban communities. The research can be used as basic data to establish polices for pedestrian environment improvement.

키워드

참고문헌

  1. Bae I. S. (2000), An Improvement Search for the Pedestrian Environment around Subway Stations, A Thesis, The department of Landscape Architecture, Donga Univ., 24(2), 173-190.
  2. Byeon J. H., Park K. H., Choi S. R. (2010), The Effect of Physical Pedestrian Environment on Walking Satisfaction - Focusing on the Case of Jinhae City, The Journal of Korean Institute of Landscape Architecture, 37(6), 57-65.
  3. Choi Y. K., Kwon Y. H. (2003), A Study on the Pedestrian Movement in Urban Space, The Journal of Architectural Institute of Korea, 19(1), 89-96.
  4. Handy S. L. (1996), Urban Form and Pedestrian Choices: Study of Austin Neighborhoods, Transportation Research Board of National Academies, 1552, 135-144. https://doi.org/10.3141/1552-19
  5. Kim S. H., Lee K. J., Choi K. C. (2012), Pedestrian Environment Scaling Analysis by Walkway Type, Conference of Korean Society of Civil Engineers, 38(1), 2151-2154.
  6. Kim T. H., Kim J. (2011), A Study on Determining Factors on Pedestrian Volume by Station Area Types, Seoul Development Institute, Seoul, Korea.
  7. Kim Y. O., Shin H. W. (2007), A Study on the Characteristics of Pedestrian Network According to Land Use Pattern - Focusing on Relationship between Pedestrian Network and Pedstrian Volume Using Space Syntax, The Journal of Urban Design Institute of Korea, 8(3), 83-94.
  8. Lee K. H., Ahn K. H. (2007), The Correlation between Neighborhood Characteristics and Waling of Residents - A Case Study of 40 Areas in Seoul, The Journal of Architectural Institute of Korea, 42(6), 105-118.
  9. Lee K. H., Ahn K. H. (2008), An Empiricla Analysis of Neighborhood Environment Affecting Residents' Walking - A Case Study of 12 Areas in Seoul, The Journal of Architectural Institute of Korea, 24(6), 293-302.
  10. Lee W. D., Cho C. H. (2007), Relationships between Walkability and Land-use: an Analysis of Pedestrian Survey Data in Seoul, Korea, Conference of Korean Society of Transportation, Spring, 141-145.
  11. Lee W. D., Won J. S., Cho C. H. (2011), Time series of Walking Population Change Correlation Analysis with Land-Use - The Case of Seoul Metropolitan area, Conference of The Economic Geographical Society of Korea, Autumn. available at http://route.khu.ac.kr/?document_srl=4642
  12. Miranda-Moreno L. F., Morency P., El-Geneidy A. M. (2011), The Link between Built Environment, Pedestrian Activity and Pedestrian-Vehicle Collisin Occurrence at Signalized Intersections, Accident Analysis & Prevention, 43(5), 1624-1634. https://doi.org/10.1016/j.aap.2011.02.005
  13. Moudon A. V., Lee C. (2003), Walking and Bicycling: an Evaluation of Environmental Audit Instruments, American Journal of Health Promotion, 18(1), 21-37. https://doi.org/10.4278/0890-1171-18.1.21
  14. Park S. H., Choi Y. M., Seo H. L. (2008), Measuring Walkability in Urban Residential Neighborhoods:Development of Walkability Indicators, The Journal of Architectural Institute of Korea, 24(1), 161-172.
  15. Park S. H., Choi Y. M., Seo H. L., Kim J. H., (2009), Perception of Pedestrian Environment and Satisfaction of Neighborhood Walking - An Impact Study Based on Four Residential Communities in Seoul, Korea, The Journal of Architectural Institute of Korea, 25(8), 253-261.
  16. Pulugurtha S. S., Repaka S. R. (2008), Assessment of Models to Measure Pedestrian Activity at Signalized Intersections, The Journal of the Transportation Research Board, 2073, 39-48. https://doi.org/10.3141/2073-05
  17. Seoul Metropolitan Government(2006), Urban General Plan in Seoul, Seoul, Korea.
  18. Seoul Metropolitan Government(2013), Seoul Floating Population Survey, Seoul, Korea.
  19. Shin K. S., Sung H. G. (2011), Analysis on the Structural Impact of Choice Factors for Shopping Behavior on Walking Activity and its Comparison with Commuting Behavior, The Journal of Korea Planners Association, 46(5), 249-260.
  20. Sung H. G., Kim J. Y. (2011), A Study on the Impacts of Individual Socio - Economic Status and Walking Purposes on Walking Amount: The Case of Workers in the City of Seoul, Seoul City Research, 12(2), 73-86.
  21. Yun N. Y., Choi C. G. (2013), Relationship between Pedestrian Volume and Pedestrian Environmental Factors on the Commercial Streets in Seoul, The Journal of Korea Planners Association, 48(4), 135-150.

피인용 문헌

  1. A comparison analysis of factors to affect pedestrian volumes by land-use type using Seoul Pedestrian Survey data vol.14, pp.2, 2015, https://doi.org/10.12815/kits.2015.14.2.039
  2. Identifying the Characteristics of Elderly Pedestrian using the Tobit Model vol.15, pp.1, 2016, https://doi.org/10.12815/kits.2016.15.1.016
  3. Geographically Weighted Regression on the Characteristics of Land Use and Spatial Patterns of Floating Population in Seoul City vol.23, pp.3, 2015, https://doi.org/10.7319/kogsis.2015.23.3.077
  4. Identification of Spatial Distribution of an Aged Population and Analysis on Characterization of the Cluster: Focusing on Seoul Metropolitan Area vol.20, pp.7, 2014, https://doi.org/10.9728/dcs.2019.20.7.1365
  5. The Impact of PM10 Levels on Pedestrian Volume: Findings from Streets in Seoul, South Korea vol.16, pp.23, 2014, https://doi.org/10.3390/ijerph16234833
  6. Gender Gaps in the Use of Urban Space in Seoul: Analyzing Spatial Patterns of Temporary Populations Using Mobile Phone Data vol.12, pp.16, 2014, https://doi.org/10.3390/su12166481