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• W2012140917 abstract "Many city governments choose to supply more developable land and transportation infrastructure with the hope of attracting people and businesses to their cities. However, like those in Taiwan, major cities worldwide suffer from traffic congestion. This study applies the system thinking logic of the causal loops diagram (CLD) model in the System Dynamics (SD) approach to analyze the issue of traffic congestion and other issues related to roads and land development in Taiwan’s cities. Comparing the characteristics of development trends with yearbook data for 2002 to 2013 for all of Taiwan’s cities, this study explores the developing phenomenon of unlimited city sprawl and identifies the cause and effect relationships in the characteristics of development trends in traffic congestion, high-density population aggregation in cities, land development, and green land disappearance resulting from city sprawl. This study provides conclusions for Taiwan’s cities’ sustainability and development (S&D). When developing S&D policies, during decision making processes concerning city planning and land use management, governments should think with a holistic view of carrying capacity with the assistance of system thinking to clarify the prejudices in favor of the unlimited developing phenomena resulting from city sprawl." @default.
• W2012140917 created "2016-06-24" @default.
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• W2012140917 creator A5039773263 @default.
• W2012140917 date "2014-11-06" @default.
• W2012140917 modified "2023-10-14" @default.
• W2012140917 title "Reasoning the Causality of City Sprawl, Traffic Congestion, and Green Land Disappearance in Taiwan Using the CLD Model" @default.
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• W2012140917 doi "https://doi.org/10.3390/ijerph111111464" @default.
• W2012140917 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4245624" @default.
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