DOI QR코드

DOI QR Code

Analysis of Influencing Factors on Street Environment Satisfaction in the Downtown Area of Gongju City - Empirical analysis using Space syntax and Computer vision -

공주시 도심지역 가로환경만족도 영향요인 분석 - 공간구문론과 컴퓨터비전 활용을 중심으로 -

  • Jeong, Yeon-Jun (Dept. of Urban&Transportation Engineering, Kongju National University) ;
  • Lee, Kyung-Hwan (Dept. of Urban systems Engineering, Kongju National University)
  • 정연준 (공주대학교 도시.교통공학과) ;
  • 이경환 (공주대학교 도시융합시스템공학과)
  • Received : 2023.02.06
  • Accepted : 2023.08.25
  • Published : 2023.09.30

Abstract

This study aims to understand how different factors impact street environment satisfaction on a small scale. There were 17 elements identified across four categories from past research to see what affects people's satisfaction with their surroundings. The spatial layout and visual elements were measured using spatial syntax and computer vision. After analyzing the connections between field survey data, space syntax, computer vision, and street environment satisfaction using an ordinal logit model, this analysis revealed that factors like crime safety, traffic safety, sense of danger, sidewalk width, and overall integration positively impact street satisfaction. Conversely, crosswalk density, road density, building density, and the presence of fences and walls negatively affect it. From this, it's clear that creating a street environment that promotes safe and comfortable walking, free from concerns about crime and traffic, is crucial to encourage diverse and active walking in the downtown area. This study is significant as it quantifies and closely examines various factors influencing street satisfaction. However, it's important to note that the study's focus was limited to the downtown area of Gongju City, and further research is needed to understand the impact of more varied factors.

Keywords

Acknowledgement

이 논문은 2022년 공주대학교 학술연구지원사업의 연구지원에 의하여 연구되었음

References

  1. Han, S. K., & Oh, S. H. (2020). A study on the development and utilization of the walking convenience index. Sejong-si, Architecture and Urban Research Institute, 31-48.
  2. Jeong, Y. J., & Lee. K. H. (2022). How do environmental factors influence the walking activities of elderly people?: a study using GPS data of Bundang New-town in Korea, Journal of the Architectural Institute of Korea, 38(9), 123-134.
  3. Ji, O. S., Gu, Y. S., & Jwa, S. h. (2008). A study on Satisfaction for Pedestrian Environment. Uijeongbu-si, Gyeonggi Research Institute, 11-54.
  4. Kang, N. H., & Lee, S. G. (2013). Analysis of influence factors on user's satisfaction of pedestrian environment in commercial street: Based on pedestrian passages in Gangnam and Jongno commercial streets, Design Convergence Study, 38, 255-267.
  5. Kim, C. G., Im, H. N., & Choi, C. G. (2016). Built environment, walking trip for different purposes, and pedestrian satisfaction, Journal of Korea Planning Association, 51(4), 145-159.
  6. Kim, C. S., & Kim, H. J. (2011). Analysis of residents' satisfaction for the pedestrian space of multi-family housing, Journal of the Korean Housing Association, 22(2), 83-90.
  7. Kim, S. H., Lee, K. J., & Choi, K. C. (2014). A Study on assessment indicator of walking environment considering land use characteristics, Journal of the Korean Society of Civil Engineers, 34(3), 931-938. https://doi.org/10.12652/Ksce.2014.34.3.0931
  8. Kim, S. N., & Lee, S. M. (2016). Street unit pedestrian environment evaluation system development study. Sejong-si, Architecture and Urban Research Institute, 22-170.
  9. Landis, B. W., Vattikuti, V. R., Ottenberg, R. M., McLeod, D. S., & Guttenplan, M. (2001). Modeling the roadside walking environment: pedestrian level of service, Transportation research record, 1773(1), 82-88. https://doi.org/10.3141/1773-10
  10. Lee, B. D., Yi, J. S., Kim, J. Y. (2020). A study on the trend of spatial analysis through Space Syntax, Journal of the Korea Institute of Spatial Design, 15(3), 103-116.
  11. Lee, G. M., Lee, W. S., Jung, S. G., & Jang, C. K. (2016). The influence of pedestrian environment perception on pedestrian environment satisfaction and expected health promotion effects, Journal of the Korean Institute of Landscape Architecture, 44(6), 137-147. https://doi.org/10.9715/KILA.2016.44.6.137
  12. Lee, J. S., & Lee, H. H. (2019). Developing a pedestrian satisfaction prediction model based on machine learning algorithms, Journal of Korea Planning Association, 54(3), 106-118.
  13. Lee, J. W. (2004). A study on the image evaluation of street landscape: focused on an analysis of psychological factors which creates a busy street, Journal of Korean Society of Design Science, 17(2), 135-146.
  14. Lee, J. Y., & Park, J. A. (2020). The analysis of the effect of visual information volume on the preference of commercial streetscape: using the computer vision techniques. Journal of the Urban Design Institute of Korea, 21(4), 75-86.
  15. Lee, S. G., Lee, Y. S., & Lee, C. K. (2014). An analysis of street environment affecting pedestrian walking satisfaction for different age groups, Jounal of Korea Planning Association, 49(8), 91-105. https://doi.org/10.17208/jkpa.2014.12.49.8.91
  16. Lee, S. J. (2017). Correlation analysis between spatial centrality and crime using korea safety map, Journal of the Architectural Institute of Korea Planning & Design, 33(3), 69-76.
  17. Lee, S. M., & Lee, M. H. (2021). A study on the influence factors of pedestrian environment satisfaction on of the socially vulnerable groups by life cycle stages: the walkability and the pedestrian network in the neighborhoods, Journal of the Urban Design Institute of Korea, 22(4), 17-34.
  18. Lian, T., Choi, J. H., & Lee, S. Y. (2018). Satisfaction evaluation for the pedestrian improvement of street spaces: focused on the commercial and residential areas in the First District of Administrative-Centered City, Journal of the Korean Institute of Landscape Architecture, 46(1), 115-126. https://doi.org/10.9715/KILA.2018.46.1.115
  19. Lieu, S. J., Ha, J. W., Kim, H. J., Ki, D. H., & Lee, S. G. (2021). Analysos of street encironmental factors affecting subjective perceptions of streetscape image in Seoul, Korea: application of deep learning semantic segmentation and YOLOv3 object detection, Journal of Korea Planning Association, 56(2), 79-93. https://doi.org/10.17208/jkpa.2021.04.56.2.79
  20. Moon, Y. G., Kim, D. J., Han, J. H., & Kang, J. M. (2018). A study of improvement on pedestrian Level of Service by pedestrian satisfaction: focused on lower floor building use in Seoul, Journal of the Korean Society of Civil Engineers, 38(6), 979-990.
  21. Moudon, A. V., Lee, C., Cheadle, A. D., Garvin, C., Johnson, D., Schmid, T. L., Schmid, R. D., & Wethers, L. (2006). Operational definitions of walkable neighborhood: theoretical and empirical insights. Journal of physical activity and health, 3(s1), S99-S117. https://doi.org/10.1123/jpah.3.s1.s99
  22. Oh, C. W. (2004). A study of urban spatial structure with GIS and Space Syntax. The Geographical Journal of Korea, 38(4), 573-583.
  23. Oh, S. H., & Namgung, J. H. (2011). Pedestrian City: 12 Guidelines for Better Pedestrian Environment, Sejong-si, Architecture and Urban Research Institute, 1-392.
  24. Park, H. S., & Lee, K. H., (2019). The effects of neighborhood environment on elderly's walking time and quality of life : a case study of Nokbeon-Dong in Seoul, Journal of Korea Planning Association, 54(2), 109-121.
  25. Park, K. D., & Lee, S. G. (2018). Application and validation of a deep learning model to predict the walking satisfaction on street level. Journal of the Urban Design Institute of Korea, 19(6), 19-34. https://doi.org/10.38195/judik.2018.12.19.6.19
  26. Park, K. D., Ki, D. H., & Lee, S. G. (2021). Analysis of visual characteristics of urban street elements on walking satisfaction in Seoul, Korea: application of Google Street View and deep learning technique of semantic segmentation, Journal of the Urban Design Institute of Korea, 22(3), 55-72.
  27. Park, S. H.. Choi, Y. M., & Seo, H. L. (2015). Neighborhood walking Neighborhood planning. Seoul, Space, 17-202.
  28. 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, Journal of Korea Planning Association, 25(8), 253-261.
  29. Pyo, S. Y., Kim, B. S., & Park, J. A. (2015). Effects of the perception of street environment elements and D:H Ratio on the street satisfaction on commercial streets: focusing on Garosu street, Daehakro street and Jungjadong Cafe street, Journal of the Urban Design Institute of Korea, 16(2), 77-87.
  30. Sheok, J. S. (2014). Analysis of the influence factors of satisfaction on pedestrian environment in urban commercial districts, Transportation Technology and Policy, 11(4), 40-49.
  31. Son, D. P., Hyeon, T. H., & Park, Y. N. (2021). A study on the characteristics of architecture and space affecting home invasion crime: using the Space Syntax, VGA and VAE analysis, Journal of the Architectural Institute of Korea, 37(1), 35-42.
  32. Son, Y. R., Lee, I. H., & Yoo, J. W. (2022). Spatial characteristics of cognitive representation using an integrated method of combining Space Syntax and Sketch Map: focused on the Somak Village in Uam-dong, Busan. Journal of the Architectural Institute of Korea, 38(2)
  33. Sung, H. G., & Kim, J. Y. (2011). A study on the impacts of indivisual socio-econimic status and walking purpose on walking amount: the case of workers in the City of Seoul, Seoul Studies, 12(2), 73-86. https://doi.org/10.23129/SEOULS.12.2.201106.73
  34. Weber, M., Wang, H., Qiao, S., Xie, J., Collins, M. D., Zhu, Y., Yuan, L., Kim, D. H., Yu, Q., Cremers, D., Leal-Taixe, L., Yuille, L. A., Schroff, F., Adam, H., & Chen, L. C. (2021). Deeplab2: a Tensorflow library for deep labeling. Arxiv. arXiv preprint arXiv:2106.09748. Retrived March 15, 2022 from https://arxiv.org/
  35. Yim, Y. H., & Choi, M. J. (2006). An empirical analysis of underground space Design elements affectiong pedestrian environment and satisfaction, Journal of the Urban Design Institute of Korea, 7(2), 47-56.
  36. Yu, G. H., Lee, M. H., & Kim, Y. O. (2006). A study on the impact of the Balance Development Project on urban spatial configuration, Journal of Korea Planning Association, 41(6), 51-63.