CA-based urban land use prediction model: A case study on orange county, Florida, U. S.

Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology

Volumn 12, Issue 6, 2012, Pages

  Sun, Jian ^a   Zhang, Li Hui ^b   Peng, Chun Lu ^a   Peng, Zhong Ren ^a,c   Xu, Meng ^d  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^c UNIVERSITY OF FLORIDA   (United States)

^d BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

Cellular automaton; Geographical information systems; Intelligent transportation; Land use; Logistic regression

Indexed keywords

CELLULAR AUTOMATON MODELS; FLORIDA; GEOGRAPHICAL INFORMATION SYSTEM; HOTSPOTS; INTELLIGENT TRANSPORTATION; LAND USE/LAND COVER; LOGISTIC REGRESSIONS; MATLAB- SOFTWARE; SPATIAL CHANGES; SPATIAL DATA; URBAN LAND USE;

CELLULAR AUTOMATA; GEOGRAPHIC INFORMATION SYSTEMS; LOGISTICS; MATLAB; REGRESSION ANALYSIS; URBAN PLANNING;

LAND USE;

EID: 84872134887     PISSN: 10096744     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. CHEN Y Q, FAN B Q, MA X D. Application of GIS in land use and transportation system research [J]. Journal of University of Shanghai for Science and Technology, 1999, 1: 81-85.
2. Li X, Yeh A G O. Principal component analysis of stacked multi-temporal in ages for monitoring of rapid urban expansion in the Pearl River Delta [J]. International Journal of Remote Sensing, 1998, 19 (8): 1501-1518.
3. LI X, YE J A, LIU X P, et al. Geo-simulation System: Cellular Automata and Multiple Agents[M]. Beijing: Science Press, 2007.
4. Li X, Yeh A G O. Neural-Network-based cellular automata for realistic and idealized urban simulation[J]. Acta Geography Sinica, 2002, 57(2): 159-166.
5. YANG Q S, LI X. Mining transition rules for geo-simulation using rough sets: A case study of land use in the Shenzhen[J]. Acta Geography Sinica, 2006, 61(8): 882-894.
6. YANG Q S, LI X. Cellular automata for simulating land use changes based on support vector machine[J], Journal of Remote Sensing, 2006, 10 (6): 836-846.
7. Batty M, Xie Y. From cells to cities[J]. Environment and Planning B: Planning and Design, 1994, 21(4): 531-548.
8. Batty M, Xie Y. Possible urban automata[J]. Environment and Planning B: Planning and Design, 1997, 24 (2): 175-192.
9. White R, Engelen G. Cellular automata as the basis of integrated dynamic regional modeling[J]. Environment and Planning B: Planning and Design, 1997, 24(2): 235-246.
10. Clarke K C, Gaydos L J. Loose-coupling cellular automata model and GIS: Long-term urban growth prediction for San Francisco and Washington/Baltimore [J]. International Journal of Geographical Information Science, 1998, 12(7): 699-714.
11. Ward D P, Murray A T, Phinn S R. A stochastically constrained cellular model of urban growth [J]. Computers, Environment and Urban Systems, 2000, 24(6): 539-558.
12. Clarke K C, Hoppen S, Gaydos L. A self-modifying cellular automation model of historical urbanization in the San Francisco Bay area[J]. Environment and Planning B: Planning and Design, 1997, 24(2): 247-261.
13. Meyer M D, Miller E J. Urban Transportation Planning: A Decision-Oriented Approach [M]. McGraw-Hill, New York, 2001.
14. Zhao L, Peng Z-R. An intergrated bi-level model to explore the interaction between land use allocation and transportation[J]. Transportation Research Record: Journal of the Transportation Research Board 2176, 2010: 14-21.
15. Carr M H, Zwick P D. Smart Land-Use Analysis - The LUCIS Model Land-Use Conflict Identification Strategy [M]. ESRI Press: Redlands, CA, 2007.
16. SUN J, LIU Q, PENG Z R. Research and analysis on causality and spatial-temporal evolution of urban traffic congestions-A case study on Shenzhen of China[J]. Journal of Transportation Systems Engineering and Information Technology, 2011, 11(5): 86-93.