Scenario Prediction of Urban Growth Based on the SLEUTH Model

被引:0
|
作者
Feng, Huihui [1 ]
Liu, Huiping [1 ]
机构
[1] Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China
关键词
Scenario prediction; SLEUTH model; Urban growth; Spatial metrics; Doneguan central city; LAND-USE CHANGE; CELLULAR-AUTOMATON MODEL; SAN-FRANCISCO; URBANIZATION; CHINA;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To support urban planning for sustainable development, the SLEUTL model was selected to predict urban growth under different scenarios in this paper. Taken the Dongguan central city of the Pearl River Delta as an example, three scenarios for different planning goals were created, which were the Historical Trend (HT) scenario, the Forest Protection (FP) scenario and the Growth Restriction (GR) scenario. The results showed that the urban area would expand continuously from 2003 to 2030 under the HT scenario. More land resources would be saved in GR scenario than FP scenario. Furthermore, the urban growth under HT and FP scenarios would come to a steady state at 2020, while this deadline of the GR scenario would be postpone to 2025. The results of scenario prediction demonstrated that the GR scenario was more effective to meet the goal of land protection for the study area.
引用
收藏
页码:945 / 952
页数:8
相关论文
共 50 条
  • [31] Assessment and Prediction of Urban Expansion Using CA-Based SLEUTH Urban Growth Model: A Case Study of Kolkata Metropolitan Area (KMA), West Bengal, India
    Sandipta Das
    Gaurav V. Jain
    [J]. Journal of the Indian Society of Remote Sensing, 2022, 50 : 2277 - 2302
  • [32] Simulating Urban Growth Using the SLEUTH Model in a Coastal Peri-Urban District in China
    Hua, Lizhong
    Tang, Lina
    Cui, Shenghui
    Yin, Kai
    [J]. SUSTAINABILITY, 2014, 6 (06): : 3899 - 3914
  • [33] Remote Sensing Data and SLEUTH Urban Growth Model: As Decision Support Tools for Urban Planning
    Inoka Sandamali Serasinghe Pathiranage
    Lakshmi N. Kantakumar
    Sivanantharajah Sundaramoorthy
    [J]. Chinese Geographical Science, 2018, 28 : 274 - 286
  • [34] Remote Sensing Data and SLEUTH Urban Growth Model:As Decision Support Tools for Urban Planning
    SERASINGHE PATHIRANAGE Inoka Sandamali
    Lakshmi N.KANTAKUMAR
    SUNDARAMOORTHY Sivanantharajah
    [J]. Chinese Geographical Science, 2018, 28 (02) : 274 - 286
  • [35] Remote Sensing Data and SLEUTH Urban Growth Model:As Decision Support Tools for Urban Planning
    SERASINGHE PATHIRANAGE Inoka Sandamali
    Lakshmi NKANTAKUMAR
    SUNDARAMOORTHY Sivanantharajah
    [J]. Chinese Geographical Science, 2018, (02) : 274 - 286
  • [36] A Model of Urban Rational Growth Based on Grey Prediction
    Xiao, Wenjing
    [J]. 2017 5TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION (CDMMS 2017), 2017, 1834
  • [37] The multi-scenario plans of riverside city zone expansion based on SLEUTH model
    Wu Wei
    Zhou Shenglu
    Xu Mingxing
    Wei Zongqiang
    He Jia
    Xu Changyu
    [J]. 2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL II, 2010, : 106 - 109
  • [38] Simulating urban growth in Mashad City, Iran through the SLEUTH model (UGM)
    Rafiee, Reza
    Mahiny, Abdolrassoul Salman
    Khorasani, Nematolah
    Darvishsefat, Ali Asghar
    Danekar, Afshin
    [J]. CITIES, 2009, 26 (01) : 19 - 26
  • [39] Assessing Growth Scenarios for Their Landscape Ecological Security Impact Using the SLEUTH Urban Growth Model
    Yin, Haiwei
    Kong, Fanhua
    Hu, Yuanman
    James, Philip
    Xu, Feng
    Yu, Lanjun
    [J]. JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 2016, 142 (02)
  • [40] Using the SLEUTH Urban Growth Model to Simulate Future Urban Expansion of the Isfahan Metropolitan Area, Iran
    Bihamta, Neda
    Soffianian, Alireza
    Fakheran, Sima
    Gholamalifard, Mehdi
    [J]. JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2015, 43 (02) : 407 - 414