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    Calibration of Land Use Change Drivers in Support of Dynamic Urban Growth Modeling

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    https://www.riss.kr/link?id=A104190303

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The Land use Evolution and impact Assessment Model (LEAM) is a cellular urban dynamics model designed to simulate changing landscapes over space and time. One of the challenging problems in the LEAM model is calibrating the model results, and this study presents a step to calibration. The probability of land use change in each cell is determined by various factors including a cell?s proximity to development attractors, which are physical features that promote residential and commercial developments. This study presents a way to calculate a cell?s proximity to development attractors and converting the proximity to relative probability to help with LEAM calibration. The ten-county area in Illinois and Missouri, USA, around the City of St. Louis, was chosen as a study area. The results show general patterns of distributions of existing urban cells in terms of travel time to attractors. Furthermore, existing residential and commercial land uses show distinct spatial patterns for development. The adoption of this method has contributed to more realistic simulation of new developments in the study area.
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    The Land use Evolution and impact Assessment Model (LEAM) is a cellular urban dynamics model designed to simulate changing landscapes over space and time. One of the challenging problems in the LEAM model is calibrating the model results, and this stu...

    The Land use Evolution and impact Assessment Model (LEAM) is a cellular urban dynamics model designed to simulate changing landscapes over space and time. One of the challenging problems in the LEAM model is calibrating the model results, and this study presents a step to calibration. The probability of land use change in each cell is determined by various factors including a cell?s proximity to development attractors, which are physical features that promote residential and commercial developments. This study presents a way to calculate a cell?s proximity to development attractors and converting the proximity to relative probability to help with LEAM calibration. The ten-county area in Illinois and Missouri, USA, around the City of St. Louis, was chosen as a study area. The results show general patterns of distributions of existing urban cells in terms of travel time to attractors. Furthermore, existing residential and commercial land uses show distinct spatial patterns for development. The adoption of this method has contributed to more realistic simulation of new developments in the study area.

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    참고문헌 (Reference)

    1 "Trends in urbanization and patterns of land use in the Asian mega cities Jakarta" 251-259, 2005

    2 "The specter of sprawl" 1998

    3 "The integration of process and technology dissertation in Urban and Regional Planning University of Illinois at Urbana-Champaign" University of Illinois at Urbana-Champaign illi (illi): 2003

    4 "The Patuxent landscape model: Integrated ecological economic modeling of a watershed" voi voi (voi voi): 473-491, 1999

    5 "Predicting land-use change" 1-6, 2001

    6 "Once there were greenfields: How urban sprawl is undermining America?s environment" New York: Natural Resources Defense Council. 1999

    7 "Modelling land use change and environmental impact" 1-3, 2004

    8 "Long-term urban growth prediction for San Francisco and Washington/Baltimore" 699-714, 1998

    9 "Identifying environmental risk factors for endemic cholera" 201-210, 2002

    10 "Hydrdogic impact of dimate change and urbanization" 51-66, 2003

    1 "Trends in urbanization and patterns of land use in the Asian mega cities Jakarta" 251-259, 2005

    2 "The specter of sprawl" 1998

    3 "The integration of process and technology dissertation in Urban and Regional Planning University of Illinois at Urbana-Champaign" University of Illinois at Urbana-Champaign illi (illi): 2003

    4 "The Patuxent landscape model: Integrated ecological economic modeling of a watershed" voi voi (voi voi): 473-491, 1999

    5 "Predicting land-use change" 1-6, 2001

    6 "Once there were greenfields: How urban sprawl is undermining America?s environment" New York: Natural Resources Defense Council. 1999

    7 "Modelling land use change and environmental impact" 1-3, 2004

    8 "Long-term urban growth prediction for San Francisco and Washington/Baltimore" 699-714, 1998

    9 "Identifying environmental risk factors for endemic cholera" 201-210, 2002

    10 "Hydrdogic impact of dimate change and urbanization" 51-66, 2003

    11 "GIS-based spatial analysis and modeling for landslide hazard assessment in steeplands" 165-176, 2004

    12 "Ecological urban dynamics: The convergence of spatial modeling and sustainability" 381-393, 2001

    13 "Drivers of land-use/land-cover changes and dynamic modeling for the Atlanta" 1073-1082, 2002

    14 "Assessment of the urban development plan of Beijing by using a CA-based urban growth model" 1063-1071, 2002

    15 "A stochastically constrained cellular model of urban growth" 539-558, 2000

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    공동연구자 (7)

    유사연구자 (20) 활용도상위20명

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2026 평가 재인증평가 신청대상 (재인증)
    2020-01-01 등재 등재학술지 유지 (재인증) KCI등재
    2017-01-01 등재 등재학술지 유지 (계속평가) KCI등재
    2013-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2010-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2009-03-04 학술지명변경 한글명 : 지리학연구 -> 국토지리학회지 KCI등재
    2008-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2005-03-28 학회명변경 한글명 : 한국지리교육학회 -> 국토지리학회
    영문명 : The Korean Association Of Professional Geographers -> The Korean Association of Professional Geographers
    KCI등재
    2005-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2004-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2003-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 1.19 1.19 1.13
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    1.09 1.02 1.53 0.15
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