Abstract and Applied Analysis

Spatiotemporal Simulation of Tourist Town Growth Based on the Cellular Automata Model: The Case of Sanpo Town in Hebei Province

Jun Yang, Peng Xie, Jianchao Xi, Quansheng Ge, Xueming Li, and Fanqiang Kong

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Abstract

Spatiotemporal simulation of tourist town growth is important for research on land use/cover change under the influence of urbanization. Many scholars have shown great interest in the unique pattern of driving urban development with tourism development. Based on the cellular automata (CA) model, we simulated and predicted the spatiotemporal growth of Sanpo town in Hebei Province, using the tourism urbanization growth model. Results showed that (1) average annual growth rate of the entire region was 1.5 Ha2 per year from 2005 to 2010, 4 Ha2 per year from 2010 to 2015, and 2.5 Ha2 per year from 2015 to 2020; (2) urban growth rate increased yearly, with regional differences, and had a high degree of correlation with the Euclidean distance of town center, traffic route, attractions, and other factors; (3) Gougezhuang, an important village center in the west of the town, demonstrated traffic advantages and increased growth rate since 2010; (4) Magezhuang village has the largest population in the region, so economic advantages have driven the development of rural urbanization. It showed that CA had high reliability in simulating the spatiotemporal evolution of tourist town, which assists the study of spatiotemporal growth under urbanization and rational protection of tourism resources.

Article information

Source
Abstr. Appl. Anal., Volume 2013, Special Issue (2013), Article ID 975359, 7 pages.

Dates
First available in Project Euclid: 26 February 2014

Permanent link to this document
https://projecteuclid.org/euclid.aaa/1393449783

Digital Object Identifier
doi:10.1155/2013/975359

Citation

Yang, Jun; Xie, Peng; Xi, Jianchao; Ge, Quansheng; Li, Xueming; Kong, Fanqiang. Spatiotemporal Simulation of Tourist Town Growth Based on the Cellular Automata Model: The Case of Sanpo Town in Hebei Province. Abstr. Appl. Anal. 2013, Special Issue (2013), Article ID 975359, 7 pages. doi:10.1155/2013/975359. https://projecteuclid.org/euclid.aaa/1393449783


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References

  • L. Lu and J. Ge, “Reflection on the research progress of tourism urbanization,” Geographical Research, vol. 25, no. 4, pp. 741–750, 2006.
  • Z. Wang and H. Yu, “Study on coupling development between development of tourism industry and small town construction in Zhangjiajie City,” Economic Geography, no. 7, pp. 165–171, 2012.
  • S. Wolfram, “Cellular automata as models of complexity,” Nature, vol. 311, no. 5985, pp. 419–424, 1984.
  • M. H. Afshar, M. Shahidi, M. Rohani, and M. Sargolzaei, “Application of cellular automata to sewer network optimization problems,” Scientia Iranica, vol. 18, no. 3, pp. 304–312, 2011.
  • Y. Feng and Z. Han, “Impact of neighbor configurations on spatially-explicit modeling results,” Geographical Research, vol. 30, no. 6, pp. 1055–1065, 2011.
  • S. Kokubo, J. Tanimoto, and A. Hagishima, “A new cellular automata model including a decelerating damping effect to reproduce Kerner's three-phase theory,” Physica A, vol. 390, no. 4, pp. 561–568, 2011.
  • E. A. Silva and K. C. Clarke, “Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal,” Computers, Environment and Urban Systems, vol. 26, no. 6, pp. 525–552, 2002.
  • V. Spicer, A. A. Reid, J. Ginther, H. Seifi, and V. Dabbaghian, “Bars on blocks: a cellular automata model of crime and liquor licensed establishment density,” Computers, Environment and Urban Systems, vol. 36, no. 5, pp. 412–422, 2012.
  • F. Wu, “Calibration of stochastic cellular automata: the application to rural-urban land conversions,” International Journal of Geographical Information Science, vol. 16, no. 8, pp. 795–818, 2002.
  • H. Yu, Z. He, and X. Pan, “Wetlands shrink simulation using cellular automata: a case study in Sanjiang Plain, China,” Procedia Environmental Sciences, vol. 2, pp. 225–233, 2010.
  • H. Zhang, Y. Zeng, X. Jin, C. Yin, and B. Zou, “Urban land expansion model based on multi-agent system and application,” Acta Geographica Sinica, vol. 63, no. 8, pp. 869–881, 2008.
  • M. Batty, H. Couclelis, and M. Eichen, “Urban systems as cellular automata,” Environment and Planning B, vol. 24, no. 2, pp. 159–164, 1997.
  • H. Couclelis, “Cellular worlds: a framework for modeling micro-macro dynamics,” Environment and Planning A, vol. 17, no. 5, pp. 585–596, 1985.
  • M. Batty and Y. Xie, “From cells to cities,” Environment and Planning B, vol. 21, supplement 21, pp. 531–548, 1994.
  • M. Batty and Y. Xie, “Possible urban automata,” Environment and Planning B, vol. 24, no. 2, pp. 175–192, 1997.
  • Y. Zhou and Y. Chen, “Cellular automata and simulation of spatial complexity of urban systems: history, present situation and future,” Economic Geography, vol. 20, no. 3, pp. 35–39, 2000.
  • X. Li and A. G. O. Yeh, “Constrained cellular automata for modelling sustainable urban forms,” Acta Geographica Sinica, vol. 54, no. 4, pp. 289–298, 1999.
  • S. Lauf, D. Haase, P. Hostert, T. Lakes, and B. Kleinschmit, “Uncovering land-use dynamics driven by human decision-making: a combined model approach using cellular automata and system dynamics,” Environmental Modelling & Software, vol. 27-28, pp. 71–82, 2012.
  • A. M. García, I. Santé, M. Boullón, and R. Crecente, “A comparative analysis of cellular automata models for simulation of small urban areas in Galicia, NW Spain,” Computers, Environment and Urban Systems, vol. 36, no. 4, pp. 291–301, 2012.
  • D. Mitsova, W. Shuster, and X. Wang, “A cellular automata model of land cover change to integrate urban growth with open space conservation,” Landscape and Urban Planning, vol. 99, no. 2, pp. 141–153, 2011.
  • X. Li, “Emergence of bottom-up models as a tool for landscape simulation and planning,” Landscape and Urban Planning, vol. 100, no. 4, pp. 393–395, 2011.
  • X. Li, Q. Yang, and X. Liu, “Discovering and evaluating urban signatures for simulating compact development using cellular automata,” Landscape and Urban Planning, vol. 86, no. 2, pp. 177–186, 2008.
  • X. Liu, X. Li, X. Shi, S. Wu, and T. Liu, “Simulating complex urban development using kernel-based non-linear cellular automata,” Ecological Modelling, vol. 211, no. 1-2, pp. 169–181, 2008.
  • P. M. Torrens and D. O'Sullivan, “Cellular automata and urban simulation: where do we go from here?” Environment and Planning B, vol. 28, no. 2, pp. 163–168, 2001.