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Exploration of Optimal urban green space using unused land - To improve green connectivity and thermal environment -

유휴지를 활용한 최적의 도시 녹지 공간 탐색 - 녹지연결성과 열 환경 개선을 목적으로 -

  • Kim, Eun-Sub (Graduate School of Seoul National University) ;
  • Lee, Dong-Kun (Dept. of Landscape Architecture and Rural System Engineering, Seoul National University) ;
  • Yoon, Eun-Joo (Center for Climate Change Adaptation, National Institute for Environmental Studies) ;
  • Park, Chae-Yoen (Research Institute of Agriculture and Life Sciences, Seoul National University)
  • 김은섭 (서울대학교 대학원 생태조경.지역시스템공학부) ;
  • 이동근 (서울대학교 조경.지역시스템공학부) ;
  • 윤은주 (일본국립환경연구소 기후변화적응센터) ;
  • 박채연 (서울대학교 농업생명과학연구원)
  • Received : 2019.09.26
  • Accepted : 2019.10.18
  • Published : 2019.10.31

Abstract

Urban green areas are generally composed of relatively small and fragmented patches, but it is a critical factor for the quality of an urban environment. They have positive effects such as increasing green connectivity, reducing runoff, and mitigating urban heat. But, there is a lack of urban greening plans that consider the comprehensive effects of green space in real urban areas. To fill this gap in this literature, this study identifies a planning model that determines the optimal locations for maximizing green areas' multiple effects(e.g., heat mitigation and enhancement of connectivity) by using unused lots. This model also considers minimizing costs using meta-heuristic optimization algorithms. As a results, we finds 50 optimal plans that considers two effects within the limited cost in Nowon-gu. The optimal plans show the trade-off effect between connectivity, heat mitigation and cost. They also show the critical unused land lots for urban greening that are commonly selected in various plans. These optimal plans can effectively inform quantitative effectiveness of green space and their trade-off. We expect that our model will contribute to the improvement of green planning processes in reality.

Acknowledgement

Supported by : 한국환경산업기술원

References

  1. Andreas, M..M. Helmut and I. Moses G. 1999. Applications of a universal thermal index: physiological equivalent temperature. Journal of Physics D: Applied Physics 43 : 76-84
  2. C. Y. Park.D. K. Lee.H. G. Kim and J. H. Park. 2016. Urban Heat Mitigation Effect of Tree on Microscopic Scale. Journal of Korean Society for People Plants and Environment 19(4) : 305-315. https://doi.org/10.11628/ksppe.2016.19.4.305
  3. Caparros-Midwood, D..S. Barr and R. Dawson. 2015. Optimised spatial planning to meet long term urban sustainability objectives. Computers, Environment and Urban Systems 54 : 154-164. Elsevier B.V. https://doi.org/10.1016/j.compenvurbsys.2015.08.003
  4. Cheng, X..B. Wei.G. Chen.J. Li and C. Song. 2015. Influence of park size and its surrounding urban landscape patterns on the park cooling effect. Journal of Urban Planning and Development 141(3) : 1-10.
  5. Desrochers A, Belisle M, Morand-Ferron J, Bourque J. 2011. Integrating GIS and homing experiments to study avian movement costs. Landscape Ecology. 26: 47-58. https://doi.org/10.1007/s10980-010-9532-8
  6. Du, H..W. Cai.Y. Xu.Z. Wang.Y. Wang and Y. Cai. 2017. Quantifying the cool island effects of urban green spaces using remote sensing Data. Urban Forestry and Urban Greening 27(February) : 24-31. Elsevier. https://doi.org/10.1016/j.ufug.2017.06.008
  7. Fintikakis, N..N. Gaitani.M. Santamouris.M. Assimakopoulos.D. N. Assimakopoulos.M. Fintikaki.G. Albanis.K. Papadimitriou.E. Chryssochoides.K. Katopodi and P. Doumas. 2011. Bioclimatic design of open public spaces in the historic centre of Tirana, Albania. Sustainable Cities and Society 1(1) : 54-62. Elsevier B.V. https://doi.org/10.1016/j.scs.2010.12.001
  8. Garcia, G. A..E. P. Rosas.A. Garcia-Ferrer and P. M. Barrios. 2017. Multi-objective spatial optimization: Sustainable land use allocation at sub-regional scale. Sustainability (Switzerland) 9(6).
  9. Gwak, J.H., Lee, B.K., Lee, W.K., Sohn, S.Y., 2017. Optimal location selection for the installation of urban green roofs considering honeybee habitats along with socioeconomic and environmental effects. J. Environ. Manage. 189, 125-133 https://doi.org/10.1016/j.jenvman.2016.12.022
  10. Jang. N-J and J. Kim. 2011. "A Study on the Urban Park Management System with Special Use Permits in Seoul". Seoul Dvelopment Institute
  11. Jee, J.-B..B.-Y. Kim.I.-S. Zo.K.-T. Lee and Y.-J. Choi. 2016. Retrieval of Land SurfaceTemperature based on High Resolution Landsat 8 Satellite Data. Korean Journal of Remote Sensing 32(2) : 171-183. (In Korean) https://doi.org/10.7780/kjrs.2016.32.2.9
  12. Kim, D-H.T-S. Seo.M-Y. Lee.W-S.Han.J-Y. Im.H-A. Kim. 2015. "A Study on the Analysis of Vacant and Underutilized Land". (In Korean)
  13. Kim, G..Y. Lee.J. H. Kim.H. Choi and B. Kim. 2018. Analysis of the Cooling Effects in Urban Green Areas using the Landsat 8 Satellite Data 34(2) : 167-178. (In Korean)
  14. Kong, H..S. Kim.S. Park.S. Lee.Y. Shin.J. Kil.J. Lee.T. Choi.S. Park.H. Yun.K. Shim.J. Go and S. Park. 2016. Effect of Land Use on Urban Thermal ENvironment in Incheon, Korea 3(4) : 315-321. (In Korean)
  15. Lee. J-M. M-K.Lee and S-H.Oh. 2016. "Tactical Utilization System of Vacant Urban Space". (In Korean)
  16. Lee. W-S, S-G.Jung.K-H.Park and K-T. Kim. 2010. Analysis of Urban Thermal Environment for Environment-Friendly Spatial Plan. The Korean Association of Geographic Information Studies 13(1) : 142-154. (In Korean)
  17. Li, H..Y. Zhou.X. Li.L. Men.X. Wang.S. Wu and S. Sodoudi. 2018. A new method to quantify surface urban heat island intensity. Science of the Total Environment 624 : 262-272. The Authors. https://doi.org/10.1016/j.scitotenv.2017.11.360
  18. Lin, W..T. Yu.X. Chang.W. Wu and Y. Zhang. 2015. Calculating cooling extents of green parks using remote sensing: Method and test. Landscape and Urban Planning 134 : 66-75. Elsevier B.V. https://doi.org/10.1016/j.landurbplan.2014.10.012
  19. Lu, S..W. Wang.S. Wang and E. C. Hameen. 2019. Thermal comfort-based personalized models with non-intrusive sensing technique in office buildings. Applied Sciences (Switzerland) 9(9).
  20. McRae BH..Dickson, BG..Keitt. TH and Shah. VB. 2008. Using circuit theory to model connectivity in ecology, evolution, and conservation. Ecology. 89(10): 2712-2724 https://doi.org/10.1890/07-1861.1
  21. Nor, A. N. M..R. Corstanje.J. A. Harris.D. R. Grafius and G. M. Siriwardena. 2017. Ecological connectivity networks in rapidly expanding cities. Heliyon 3(6) : e00325. Elsevier Ltd. https://doi.org/10.1016/j.heliyon.2017.e00325
  22. Pelletier D, Clark M, Anderson MG, Rayfield B, Wulder MA, Cardille JA. 2014. Applying circuit theory for corridor expansion and management at regional scales: Tiling, pinch points, and omnidirectional connectivity. PLos ONE. 9(1): E84135. https://doi.org/10.1371/journal.pone.0084135
  23. Yoon, E.-J..E.-J. Song.Y.-H. Jeung.E.-Y. Kim and D.-K. Lee. 2018. Spatial Decision Support System for Development and Conservation of Unexecuted Urban Park using ACO. Journal of the Korea Society of Environmental Restoration Technology 21(2) : 39-51. (In Korean) https://doi.org/10.13087/KOSERT.2018.21.2.39
  24. Yoon, E..E. Kim.J. Kim and D. K. Lee. 2019b. Connectivity Assessment Based on Circuit Theory for Suggestion of Ecological Corridor. J. Environ. Impact Assess. 28(3): 275-286. (In Korean) https://doi.org/10.14249/EIA.2019.28.3.275
  25. Yoon, E. J..B. Kim and D. K. Lee. 2019a. Multi-objective planning model for urban greening based on optimization algorithms. Urban Forestry and Urban Greening 40 (February 2018) : 183-194. Elsevier. https://doi.org/10.1016/j.ufug.2019.01.004
  26. Yu, Z..X. Guo.G. Jorgensen and H. Vejre. 2017. How can urban green spaces be planned for climate adaptation in subtropical cities? Ecological Indicators 82(July) : 152-162. Elsevier. https://doi.org/10.1016/j.ecolind.2017.07.002
  27. Zhang, Y..A. T. Murray and B. L. Turner. 2017. Optimizing green space locations to reduce daytime and nighttime urban heat island effects in Phoenix, Arizona. Landscape and Urban Planning 165(April) : 162-171. Elsevier Aboveground Biomass(AGB) https://doi.org/10.1016/j.landurbplan.2017.04.009