Using cellular automata model to simulate the impact of urban growth policy on environment in danshuei township, Taiwan

Feng Tyan Lin, Wan Yu Tseng

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

Abstract

The impact of urban growth on eco-environment leading to global climate change has attracted great concern. In this research, we use NetLogo, a cellular automation based software, to simulate the development process of Danshuei from an original settlement to a highly developed satellite town of the Taipei Metropolitan area, Taiwan. The study area is a good case showing how to balance between urban development and natural resource protection. The model is validated against the official data extracted from National Land Use Survey of 2008. Four specific scenarios, which have different rules for urban development and strategies for natural resource conservation, are used to simulate the spatial pattern of urban growth. The first scenario simulates the urban growth using slope factor only. The outcome reveals that the areas with lower slope obtain higher potential for urban development. Following the first scenario, the second scenario adds neighbor effect and road gravity as the development rules in the model. The third and fourth scenarios assume a managed growth with moderate and restricted protection of natural resources respectively. The result demonstrates that restricted control could avoid from dramatic loss of forest and agricultural areas.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2010 - International Conference, Proceedings
PublisherSpringer Verlag
Pages77-88
Number of pages12
EditionPART 1
ISBN (Print)3642121551, 9783642121555
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Computational Science and Its Applications, ICCSA 2010 - Fukuoka, Japan
Duration: 2010 Mar 232010 Mar 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6016 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2010 International Conference on Computational Science and Its Applications, ICCSA 2010
CountryJapan
CityFukuoka
Period10-03-2310-03-26

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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