Assessment of Urban Ecosystem Health Using the Pressure-State-Response Model: A Case Study in Makassar City, Indonesia

Nurul Masyiah Rani Harusi, Yasuhiro Mitani, Hisatoshi Taniguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Intensified urbanization has caused a massive and uneven development in Makassar city. It affects to the lack of green area and growth of slum area. Thus, urban ecosystem health (UEH) is a first step toward assessing precisely the state of urban environmental quality by using geo-processing and spatial analyst tools in ArcGIS at regional scale. UEH indicator system was constructed to Pressure-State-Response (PSR) model with 16 assessment indicators. It was designated from extremely poor to very good condition to transfer the status of 139 sub-districts. As a result, from the perspective of spatial distribution, the city's UEH stand at normal and good condition with 44 and 36 sub-districts, 29.99% and 43.88% respectively. Meanwhile, the very good value of PSR factors mostly reached in response factors which indicates the enthusiastically awareness from government policy to overcome the environmental conditions and to improve management and quality of infrastructure.

Original languageEnglish
Title of host publicationProceedings of the 2020 9th International Conference on Informatics, Environment, Energy and Applications, IEEA 2020
PublisherAssociation for Computing Machinery
Pages51-55
Number of pages5
ISBN (Electronic)9781450376891
DOIs
Publication statusPublished - Mar 13 2020
Event9th International Conference on Informatics, Environment, Energy and Applications, IEEA 2020 - Amsterdam, Netherlands
Duration: Mar 13 2020Mar 16 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference9th International Conference on Informatics, Environment, Energy and Applications, IEEA 2020
CountryNetherlands
CityAmsterdam
Period3/13/203/16/20

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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