Gravity Model for Tourism Spatial Interaction: Basic Form, Parameter Estimation, and Applications

Expand
  • 1. Key Laboratory of Geographic Information Science, East China Normal University,Ministry of Education, Shanghai 200062, China;
    2. Institute of Policy and Management, CAS, Beijing 100190, China

Received date: 2011-08-03

  Revised date: 2012-02-13

  Online published: 2012-04-20

Supported by

National Nature Science Foundation of China,No.41071092; No.70933002

Abstract

Spatial interaction between tourist origin and destination is a key factor affecting tourist behavior and tourism industry. Usually, such a spatial interaction was described by gravity models. However, tourism gravity models used to adopt power deterrence function to describe the spatial friction effect, which is an analogy with Newton's gravity model, are hard to overcome some inherent defects. Therefore, Wilson's model with exponential deterrence function becomes a possible alternative. Based on Wilson's model, a basic form of tourism gravity model is presented with three main explanatory variables: attractiveness of tourist destination, emissiveness of tourist origin, and spatial damping between the destination and origin.
Two coefficients, α (income elasticity) and β (spatial damping) in this model are also need to be evaluated. We used the traditional regression method to estimate the value of α. As to β, two new methods, "population particle pattern method" and "integral method on tourist amount" are used to estimate it. The results show that: 1) α = 0.64 and β = 0.00322 are at the national average level in the 2000s; 2) α becomes larger as the field-pixel becomes smaller. For provincial, municipal, county, and township levels, the values of β are 0.00044, 0.0014, 0.0044 and 0.014, respectively; 3) affected by spatial damping, the average travel radius of domestic residents is about 300 km.
By the application of this model, attractiveness of each province of China and provincial tourist market shares of Chengdu city are calculated. The results show that: 1) from 2004 to 2008, the average tourism attraction of Sichuan, Liaoning and Yunnan rank the top three, while Ningxia, Qinghai and Inner Mongolia rank the bottom three; 2) from 1999 to 2008, in terms of tourism attraction at provincial level, Xizang has the biggest increase in the ranking, while Shanghai has the greatest decline in the ranking. 3) The results of theoretical calculation on Chengdu city are in accordance with empirical experiences and sampling data, which demonstrates the applicable potential of the tourism gravity model proposed in this paper.

Cite this article

LI Shan, WANG Zheng, ZHONG Zhangqi . Gravity Model for Tourism Spatial Interaction: Basic Form, Parameter Estimation, and Applications[J]. Acta Geographica Sinica, 2012 , 67(4) : 526 -544 . DOI: 10.11821/xb201204009

References

[1] Wilson A G. A family of spatial interaction models, and associated developments. Environment and Planning, 1971, 3(1): 1-32.
[2] Lowe J C, Moryadas S. The Geography of Movement. Boston: Houghton Mifflin Co, 1975: 176-196.
[3] Haynes K E, Fotheringham A S. Gravity and Spatial Interaction Models. California: Sage Publications Inc., 1984: 9-13.
[4] Sen A K, Smith T E. Gravity Models of Spatial Interaction Behavior. New York: Springer-Verlag, 1995: 49-57.
[5] Roy J R. Spatial Interaction Modeling: A Regional Science Context. New York: Springer-Verlag Berlin Heidelberg,2004: 9-28.
[6] Isard W. Gravity and spatial interaction models//Isard W, Azis I J, Drennan M P et al.//Methods of Interregional andRegional Analysis. Hants GU11 3HR, England: Ashgate Publishing Limited, 1998: 243-279.
[7] Wang Zheng, Deng Yue, Ge Zhaopan et al. Theoretical Economic Geography. Bejing: Science Press, 2002: 11-25. [王铮, 邓悦, 葛昭攀等. 理论经济地理学. 北京: 科学出版社, 2002: 11-25.]
[8] Fischer M M, Reggiani A. Spatial interaction models: From the gravity to the neural network approach//Capello R,Nijkamp P//Urban Dynamics and Growth: Advances in Urban Economics (CEA, Vol.266). Bradford, West Yorkshire:Emerald Group Publishing, 2005: 319-346.
[9] Ravenstein E G, The laws of migration. Journal of the Royal Statistical Society, 1889, 52(2): 241-305.
[10] Reilly W J. Methods for the study of retail relationships. University of Texas Bulletin, No.2944 (Bureau of Business Research, Research Monograph No.4), November 22, 1929.
[11] Zipf G K. The P1P2/D hypothesis: On the intercity movement of persons. American Sociological Review, 1946, 11(6):677-686.
[12] Stewart J Q. Demographic gravitation: Evidence and applications. Sociometry, 1948, 11(1/2): 31-58.
[13] Nijkamp P. Gravity and Entropy Models: The State of the Art. Paper presented at the "ColloquiumVervoersplanologisch Speurwerk", The Hague, February 1978 (Serie Research Memoranda - 1977-2, URI: http://hdl.handle.net/1871/12523).
[14] Smith S L J. Tourism Analysis: A Handbook. Harlow, England: Longman, 1989. [史密斯. 南开大学旅游学系译. 旅游决策与分析方法. 北京: 中国旅游出版社, 1991: 131-132.]
[15] Isard W. Methods of Regional Analysis: An Introduction to Regional Science. Mass, America: MIT Press, 1960: 507.
[16] Witt S F, Witt C A. Forecasting tourism demand: A review of empirical research. International Journal of Forecasting,1995, 11(3): 447-475.
[17] Olsson G. Central place systems, spatial interaction and stochastic processes. Papers of the Regional ScienceAssociation, 1967, 18(1): 13-45.
[18] Wilson A G. A statistical theory of spatial distribution models. Transportation Research, 1967, 1(3): 253-269.
[19] Wilson A G. Entropy in Urban and Regional Modeling. London, England: Pion Ltd., 1970: 47-49.
[20] Gould P. Pedagogic review: Entropy in urban and regional modelling. Annals of the Association of AmericanGeographers, 1972, 62(4): 689-700.
[21] Crampon L J. A new technique to analyze tourist markets. The Journal of Marketing, 1966, 30(2): 27-31.
[22] Wolfe R I. The inertia model. Journal of Leisure Research, 1972, 4(Winter): 73-76.
[23] Edwards S L, Dennis S J. Long distance day tripping in Great Britain. Journal of Transport Economics and Policy,1976, 10(3): 237-256.
[24] Lim C. Review of international tourism demand models. Annals of Tourism Research, 1997, 24(4): 835-849.
[25] Li G, Song H, Witt S F. Recent developments in econometric modeling and forecasting. Journal of Travel Research,2005, 44(1): 82-89.
[26] Song H, Li G. Tourism demand modelling and forecasting: A review of recent research. Tourism Management, 2008,29(2): 203-220.
[27] Eilat Y, Einav L. Determinants of international tourism: A three dimensional panel data analysis. Applied Economics,2004, 36(12): 1315-1327.
[28] Tinbergen J. An analysis of world trade flows//Tinbergen J//Shaping the World Economy: Suggestions for anInternational Economic Policy. New York: Twentieth Century Fund, 1962: 262-269.
[29] P?yh?nen P. A tentative model for the volume of trade between countries. Weltwirtschaftliches Archiv, 1963, 90(1):93-100.
[30] Bergstrand J H. The gravity equation in international trade: Some microeconomic foundations and empirical evidence.Review of Economics and Statistics, 1985, 67(3): 474-481.
[31] Bergstrand J H. The generalized gravity equation, monopolistic competition and the factor-proportions theory ininternational trade. Review of Economics and Statistics, 1989, 71(1): 143-153.
[32] Khadaroo J, Seetanah B. The role of transport infrastructure in international tourism development: A gravity modelapproach. Tourism Management, 2008, 29(5): 831-840.
[33] Yang C H, Lin H L, Han C C. Analysis of international tourist arrivals in China: The role of world heritage sites.Tourism Management, 2010, 31(6): 827-837.
[34] Zhang Lingyun. Review on the study of tourism gravity models and its future. Geographical Research, 1989, 8(1):76-87. [张凌云. 旅游地引力模型研究的回顾与前瞻. 地理研究, 1989, 8(1): 76-87.]
[35] Bao Jigang. An application of gravity model in tourist forecasting. Acta Scientiarum Naturalium UniversitatisSunyatseni, 1992, 31(4): 133-136. [保继刚. 引力模型在游客预测中的应用. 中山大学学报: 自然科学版, 1992, 31(4):133-136.]
[36] Niu Yafei. The study on spatial linkage between the supply and demand of tourism. Acta Geographica Sinica, 1996, 51(1): 80-87. [牛亚菲. 旅游供给与需求的空间关系研究. 地理学报, 1996, 51(1): 80-87.]
[37] Guo Wei. Inbound tourism: An empirical research based on gravity model of international trade. Tourism Tribune,2007, 22(3): 30-34. [郭为. 入境旅游:基于引力模型的实证研究. 旅游学刊, 2007, 22(3): 30-34.]
[38] Zhang Peng, Zheng Chuiyong, Qiu Ping. Empirical study on domestic tourism based on gravity model. Soft Science,2008, 22(9): 27-30. [张鹏, 郑垂勇, 丘萍. 基于引力模型的国内旅游实征研究. 软科学, 2008, 22(9): 27-30.]
[39] Li Shan, Jiang Yihong, Wu Bing et al. A Study on the tourist spatial perception of Chinese urban residents: TakingShanghainese's as an example. Tourism Tribune, 2001, 16(1): 22-26. [李山, 蒋轶红, 吴兵等. 中国城市居民旅游感应空间研究: 以上海为例. 旅游学刊, 2001, 16(1): 22-26.]
[40] Wang Zheng, Zhou Wei, Li Shan et al. An analysis for market area of Chinese national park based on railwaycorridor. Acta Geographica Sinica, 2001, 56(2): 206-213. [王铮, 周嵬, 李山等. 基于铁路廊道的中国国家级风景名胜区市场域分析. 地理学报, 2001, 56(2): 206-213.]
[41] Yang Xinjun, Ma Xiaolong. A spatial analysis and construction of domestic tourism of "Big Xi'an Tourism Circle".Geographical Research, 2004, 23(5): 695-704. [杨新军, 马晓龙. 大西安旅游圈: 国内旅游客源空间分析与构建. 地理研究, 2004, 23(5): 695-704.]
[42] Wang Zheng, Jiang Yihong, Wang Ying et al. Tourism area model and the applications based on GIS. TourismTribune, 2002, 17(2): 57-62. [王铮, 蒋轶红, 王瑛等. 旅游域模型及其结合GIS 的应用. 旅游学刊, 2002, 17(2):57-62.]
[43] Grange L De, Troncoso R, Ibeas A et al. Gravity model estimation with proxy variables and the impact of endogeneityon transportation planning. Transportation Research Part A, 2009, 43(2): 105-116.
[44] Mikkonen K, Luoma M. The parameters of the gravity model are changing: How and why? Journal of TransportGeography, 1999, 7(4): 277-283.
[45] Papatheodorou A. Why people travel to different places. Annals of Tourism Research, 2001, 28(1): 164-179.
[46] Zhang J, Jensen C. Comparative advantage: explaining tourism flows. Annals of Tourism Research, 2007, 34(1):223-243.
[47] Cesario F J. Value of time in recreation benefit studies. Land Economics, 1976, 52(1): 32-41.
[48] Wu Bihu. A research on urban recreationist's traveling behavior in Shanghai. Acta Geographica Sinica, 1994, 49(2):117-127. [吴必虎. 上海城市游憩者流动行为研究. 地理学报, 1994, 49(2): 117-127.]
[49] Zhou Wenli, Li Shiping. An empirical study on the relationship between tourism consumption and income based onKeynes consumptive function theory. Tourism Tribune, 2010, 25(5): 33-38. [周文丽, 李世平. 基于凯恩斯消费理论的旅游消费与收入关系实证研究. 旅游学刊, 2010, 25(5): 33-38.]
[50] Teng Li, Wang Zheng, Cai Di. An analysis of the difference of tourism demand among China's urban residents.Tourism Tribune, 2004, 19(4): 9-13. [滕丽, 王铮, 蔡砥. 中国城市居民旅游需求差异分析. 旅游学刊, 2004, 19(4):9-13.]
[51] Wang Ying. Tourism spatial decision support system: Models and system design [D]. Beijing: Beijing NormalUniversity, 1999. [王瑛. 旅游业空间决策支持系统: 模型与系统设计[D]. 北京: 北京师范大学, 1999.]
[52] Wang Zheng, Ding Jinhong. Theoretical Geography. Bejing: Science Press, 1994: 162-163. [王铮, 丁金宏. 理论地理学概论. 北京: 科学出版社, 1994: 162-163.]
[53] Wang Zheng, Wu Jing, Yang Nian. A review and prospect of the multi-agent applications in geography. ComplexSystem and Complexity Science, 2005, 2(3): 52-60. [王铮, 吴静, 杨念. 多自主体在地理学中应用的回顾与展望. 复杂系统与复杂性科学, 2005, 2(3): 52-60.]
[54] Zhang Lingyun. Unusual environment--The core concept of tourism research: A new framework for tourism research.Tourism Tribune, 2009, 24(7): 12-17. [张凌云. 非惯常环境——旅游核心概念的再研究: 建构旅游学研究框架的一种尝试. 旅游学刊, 2009, 24(7): 12-17.]
[55] Li Shan. The basic theories and geo-computation researches on tourism destination circle [D]. Shanghai: East ChinaNormal University, 2006. [李山. 旅游圈形成的基本理论及其地理计算研究[D]. 上海: 华东师范大学, 2006.]
[56] Wu Bihu, Tang Junya, Huang Anmin et al. A study on destination choice behavior of Chinese urban residents. ActaGeographica Sinica, 1997, 52(2): 97-103. [吴必虎, 唐俊雅, 黄安民等. 中国城市居民旅游目的地选择行为研究. 地理学报, 1997, 52(2): 97-103.]
[57] Wu Bihu. A study on recreational belt around metropolis (ReBAM): Shanghai case. Scientia Geographica Sinica, 2001,21(4): 354-359. [吴必虎. 大城市环城游憩带(ReBAM) 研究: 以上海市为例. 地理科学, 2001, 21(4): 354-359.]
[58] Xue Ying. On the regional implosion of tourist flows: From self-organization to organization. Tourism Tribune, 2006,21(4): 47-54. [薛莹. 旅游流在区域内聚: 从自组织到组织——区域旅游研究的一个理论框架. 旅游学刊, 2006, 21(4): 47-54.]
[59] Wang Yuming, Gao Yuanheng. The tourism interaction between Shanghai and Provinces in the Yangtze River Valley.Acta Geographica Sinica, 2008, 63(6): 657-668. [汪宇明, 高元衡. 上海与长江流域各省区间的旅游互动. 地理学报,2008, 63(6): 657-668.]
[60] Li Shan, Wang Zheng. Computable models on the temporal and spatial scale of an optimum tourism destination circle.Acta Geographica Sinica, 2009, 64(10): 1255-1266. [李山, 王铮. 适度旅游圈时空规模的可计算模型. 地理学报,2009, 64(10): 1255-1266.]
Outlines

/