TY - JOUR
T1 - Assessing spatial disparities and spatial-temporal dynamic of urban green spaces
T2 - A case study of city of Chicago
AU - Yang, Byungyun
N1 - Publisher Copyright:
© 2020 Korean Society of Surveying. All rights reserved.
PY - 2020
Y1 - 2020
N2 - This study introduces how GISs (Geographic Information Systems) are used to assess spatial disparities in urban green spaces in the Chicago. Green spaces provide us with a variety of benefits, namely environmental, economic, and physical benefits. This study seeks to explore socioeconomic relationships between green spaces and their surrounding communities and to evaluate spatial disparities from a variety of perspectives, such as health-related, socioeconomic, and physical environment factors. To achieve this goal, this study used spatial statistics, such as optimized hotspot analysis, network analysis, and space–time cluster analysis, which enable conclusions to be drawn from the geographic data. In particular, 12 variables within the three factors are used to assess spatial disparities in the benefits of the use of green spaces. Finally, the variables are standardized to rank the community areas and identify where the most vulnerable community areas or parks are. To evaluate the benefits given to the community areas, this study used the z- and composite scores, which are compared in the three different combinations. After identifying the most vulnerable community area, crime data is used to spatially understand when and where crimes occur near the parks selected. This work contributes to the work of urban planners who need to spatially evaluate community areas in considering the benefits of the uses of green spaces.
AB - This study introduces how GISs (Geographic Information Systems) are used to assess spatial disparities in urban green spaces in the Chicago. Green spaces provide us with a variety of benefits, namely environmental, economic, and physical benefits. This study seeks to explore socioeconomic relationships between green spaces and their surrounding communities and to evaluate spatial disparities from a variety of perspectives, such as health-related, socioeconomic, and physical environment factors. To achieve this goal, this study used spatial statistics, such as optimized hotspot analysis, network analysis, and space–time cluster analysis, which enable conclusions to be drawn from the geographic data. In particular, 12 variables within the three factors are used to assess spatial disparities in the benefits of the use of green spaces. Finally, the variables are standardized to rank the community areas and identify where the most vulnerable community areas or parks are. To evaluate the benefits given to the community areas, this study used the z- and composite scores, which are compared in the three different combinations. After identifying the most vulnerable community area, crime data is used to spatially understand when and where crimes occur near the parks selected. This work contributes to the work of urban planners who need to spatially evaluate community areas in considering the benefits of the uses of green spaces.
KW - Parks
KW - Spatial Disparities
KW - Spatial Statistics
KW - Sustainability
UR - http://www.scopus.com/inward/record.url?scp=85096911353&partnerID=8YFLogxK
U2 - 10.7848/ksgpc.2020.38.5.487
DO - 10.7848/ksgpc.2020.38.5.487
M3 - Article
AN - SCOPUS:85096911353
SN - 1598-4850
VL - 38
SP - 487
EP - 496
JO - Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
JF - Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
IS - 5
ER -