Version 1
: Received: 19 September 2020 / Approved: 20 September 2020 / Online: 20 September 2020 (14:43:06 CEST)
How to cite:
Sim, S.; Clarke, K. A Comparative Analysis of Cities and Towns in the Seoul Metropolitan Region: Integrating landscape Metrics and Census Data. Preprints2020, 2020090476. https://doi.org/10.20944/preprints202009.0476.v1
Sim, S.; Clarke, K. A Comparative Analysis of Cities and Towns in the Seoul Metropolitan Region: Integrating landscape Metrics and Census Data. Preprints 2020, 2020090476. https://doi.org/10.20944/preprints202009.0476.v1
Sim, S.; Clarke, K. A Comparative Analysis of Cities and Towns in the Seoul Metropolitan Region: Integrating landscape Metrics and Census Data. Preprints2020, 2020090476. https://doi.org/10.20944/preprints202009.0476.v1
APA Style
Sim, S., & Clarke, K. (2020). A Comparative Analysis of Cities and Towns in the Seoul Metropolitan Region: Integrating landscape Metrics and Census Data. Preprints. https://doi.org/10.20944/preprints202009.0476.v1
Chicago/Turabian Style
Sim, S. and Keith Clarke. 2020 "A Comparative Analysis of Cities and Towns in the Seoul Metropolitan Region: Integrating landscape Metrics and Census Data" Preprints. https://doi.org/10.20944/preprints202009.0476.v1
Abstract
Urban form is associated with both socio-economic and urban physical properties. This study explores the differences among urban forms in the Seoul Metropolitan Region with a comparison between census-based socioeconomic variables and landscape metrics computed from remotely sensed data. To accomplish this, factor analysis and multi-dimensional scaling were used with the selected variables and metrics. When all of the measures are considered together, four types of cities and towns emerged: 1) exurban-fragmented high growth, 2) exurban-fragmented low growth, 3) compact-extensive urban core and 4) sub-urban compact-high growth. The results indicate that the fusion of knowledge of the physical urban layout and that of socio-economic characteristics is beneficial for a better understanding of urban spatial patterns. However, there remain challenges in delineating each urbanized area and with indicator selection for comparing urban form across cities and towns.
Keywords
urban form; landscape metrics; factor analysis; multi-dimensional scaling; Seoul metropolitan region (SMR)
Subject
Social Sciences, Area Studies
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
