A gravity-spatial entropy model for the measurement of urban sprawl

详细信息    查看全文

• 作者：JiHong Li ; RongXu Qiu ; Le Xiong ; JiaDong Xu
• 关键词：Entropy ; Spatial entropy ; Gravity model ; Urban sprawl
• 刊名：Science China Earth Sciences
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：59
• 期：1
• 页码：207-213
• 全文大小：990 KB
• 参考文献：Aguilera A, Ugalde E. 2014. Graph entropy as tool for understanding complex urban networks. The case of Ensenada city, Mexico. Int J Soc Syst Sci, 6: 87–99CrossRef
  Bao T F, Peng Y, Cong P J, Wang J L. 2010. Analysis of crack propagation in concrete structures with structural information entropy. Sci China Tech Sci, 53: 1943–1948CrossRef
  Batty M. 1974. Spatial entropy. Geogr Anal, 6: 1–31CrossRef
  Batty M. 2010. Space, scale, and scaling in entropy maximizing. Geogr Anal, 42: 395–421CrossRef
  Besussi E, Chin N. 2003. Identifying and measuring urban sprawl. In: Longley P A, Batty M, eds. Advanced Spatial Analysis: The CASA Book of GIS. Redlands, CA: ESRI Press. 109–128
  Brueckner J K. 2000. Urban sprawl: Diagnosis and remedies. Int Region Sci Rev, 23: 160–171CrossRef
  Brueckner J K, Mills E, Kremer M. 2001. Urban sprawl: Lessons from urban economics. In: Burtless G, Pack J R, eds. Brookings-Wharton Papers on Urban Affairs. Washington DC: Brookings Institution Press. 65–97
  Brunner A. 2013. The effects of urban sprawl on daily life: Smart growth implementation of Atlantic station. In: Transportation Research Board 92nd Annual Meeting
  Carlesi S, Bocci G, Moonen A C, Frumento P, Bàrberi P. 2013. Urban sprawl and land abandonment affect the functional response traits of maize weed communities in a heterogeneous landscape. Agric, Ecosyst Environ, 166: 76–85CrossRef
  Carruthers J I, Ulfarsson G F. 2002. Fragmentation and sprawl: Evidence from interregional analysis. Growth Change, 33: 312–340CrossRef
  Ewing R. 1997. Is Los Angeles-style sprawl desirable? J Am Plan Assoc, 63: 107–126CrossRef
  Ewing R, Pendall R, Chen D. 2002. Measuring sprawl and its impact: The character and consequences of metropolitan expansion. Washington DC: Smart Growth America
  Frenkel A, Ashkenazi M. 2008. Measuring urban sprawl: How can we deal with it? Environ Plan B Plan Design, 35: 56CrossRef
  Hasse J E, Lathrop R G. 2003. Land resource impact indicators of urban sprawl. Appl Geogr, 23: 159–175CrossRef
  James P, Troped P J, Hart J E, Joshu C E, Colditz G A, Brownson R C, Ewing R, Laden F. 2013. Urban sprawl, physical activity, and body mass index: Nurses’ health study and nurses’ health study II. Am J Pub Health, 103: 369–375CrossRef
  Jiang F, Liu S H, Yuan H, Zhang Q. 2007. Measuring urban sprawl in Beijing with geo-spatial indices. J Geogr Sci, 17: 469–478CrossRef
  Miao S, Dou J, Chen F, Li J, Li A. 2012. Analysis of observations on the urban surface energy balance in Beijing. Sci China Earth Sci, 55: 1881–1890CrossRef
  Mills E S. 1970. Urban density functions. Urban Stud, 7: 5–20CrossRef
  Mogridge M J. 1972. The use and misuse of entropy in urban and regional modelling of economic and spatial systems. TRID
  Ottensmann J R. 1977. Urban sprawl, land values and the density of development. Land Econ, 53: 389–400CrossRef
  Pooler J. 1983. Information theoretic methods of spatial model building: A guide to the unbiased estimation of the form of probability distributions. Socio-Econ Plan Sci, 17: 153–164CrossRef
  Rooij M. 2008. The analysis of change, Newton’s law of gravity and association models. J Roy Stat Soc A Sta, 171: 137–157
  Ruan B F, Wu H R. 2015. Urban sustainable development capacity evaluation model research and application based on entropy and distance functions. In: 2015 International Symposium on Computers & Informatics
  Shannon C E, Weaver W, Blahut R E, Hajek B. 1949. The Mathematical Theory of Communication. Urbana: University of Illinois Press. 117
  Singh B. 2014. Urban growth using Shannon’s Entropy: A case study of Rohtak city. Int J Adv Remote Sens GIS, 3: 544–552
  Solecki W, Seto K C, Marcotullio P J. 2013. It’s time for an urbanization science. Environ Sci Policy Sust Dev, 55:12–17CrossRef
  Sun X L, Jia L M, Dong H H, Qin Y, Guo M. 2010. Urban expressway traffic state forecasting based on multimode maximum entropy model. Sci China Tech Sci, 53: 2808–2816CrossRef
  Sutton P C. 2003. A scale-adjusted measure of “urban sprawl” using nighttime satellite imagery. Remote Sens Environ, 86: 353–369CrossRef
  Tan M H, Li X B, Lu C H. 2005. Urban land expansion and arable land loss of the major cities in China in the 1990s. Sci China Ser D-Earth Sci, 48: 1492–1500CrossRef
  Theil H, Finizza A J. 1971. A note on the measurement of racial integration of schools by means of informational concepts. J Math Sociol, 1: 187–193CrossRef
  Thomas R W. 1981. Information statistics in geography. Norwich: Geo Abstracts
  Tolman R C, Fine P C. 1948. On the irreversible production of entropy. Rev Modern Phys, 20: 51CrossRef
  Wang F H, Guldmann J M. 1996. Simulating urban population density with a gravity-based model. Socio-Econ Plan Sci, 30: 245–256CrossRef
  Wilson A. 2010. Entropy in urban and regional modelling: Retrospect and prospect. Geogr Anal, 42: 364–394CrossRef
  Wu J, Guo Z Y. 2010. An exploration for the macroscopic physical meaning of entropy. Sci China Techn Sci, 53: 1809–1816CrossRef
  Wu Z J, Hu M, Yue D L, Wehner B, Wiedensohler A. 2011. Evolution of particle number size distribution in an urban atmosphere during episodes of heavy pollution and new particle formation. Sci China Earth Sci, 54: 1772–1778CrossRef
  Xia G, Zhai Y, Cui Z. 2013. Characteristics of entropy generation and heat transfer in a microchannel with fan-shaped reentrant cavities and internal ribs. Sci China Tech Sci, 56: 1629–1635CrossRef
  Yeh A G O, Li X. 2001. Measurement and monitoring of urban sprawl in a rapidly growing region using entropy. Photogramm Eng Remote Sens, 67: 83–90
  Yue W Z, Liu Y, Fan P L. 2013. Measuring urban sprawl and its drivers in large Chinese cities: The case of Hangzhou. Land Use Policy, 31: 358–370CrossRef
  
• 作者单位：JiHong Li (1)
  RongXu Qiu (2)
  Le Xiong (3)
  JiaDong Xu (1)
  
  1. Forestry College, Northeast Forestry University, Harbin, 150040, China
  2. Geography Department, University of Lethbridge, Alberta, T1K4Z8, Canada
  3. Tourism Department, Fudan University, Shanghai, 200433, China
  
• 刊物主题：Earth Sciences, general;
• 出版者：Springer Berlin Heidelberg
• ISSN：1869-1897

文摘

Since the mid-twentieth century, most cities worldwide have undergone a rapid expansion in urban land use. Along with the expansion, several problems, such as excessive loss of prime agricultural land and increasing traffic congestion have arisen. Thus, understanding and measurements of the expansion scale and its speed are crucial to planners and officials during urban planning and management processes. To measure such geographic phenomena, Shannon first devised entropy theory, and then Batty developed it into spatial entropy. The recently developed spatial entropy model, which was used to measure urban sprawl, introduced area to represent spatial asymmetry. However, most models did not consider spatial discretization, particularly the impact of distance. This study attempted to construct an integrated gravity-spatial entropy model to delineate distance and spatial diffusion impacts on population distribution. Then, we tested the model using Shanghai’s temporal land use and community statistical data. Application results for the new gravity-spatial model show that it is a useful tool for identifying spatial and temporal variations of urban sprawl.