Spatial Measure and Simulation of Urban Tourism Flow in Nanjing City, China

  • 1. College of Territorial Resources and Tourism, Anhui Normal University, Wuhu, Anhui 241000, China;
    2. Department of Urban Planning, School of Architecture, Tsinghua University, Beijing 100084, China

Received date: 2010-09-16

  Revised date: 2011-04-27

  Online published: 1997-07-20


Urban tourist flow is an important content in the research of Tourism Geography.Although the study on urban tourist flow has been recognized, systematic studies of measuring urban tourist flows are still under-explored.This study presents a quantitative method for investigating urban tourism flow spatial change in Nanjing city by size-scale, spatial autocorrelation and factor analysis.At the same time, using software Surfer 8.0 and geographic information system, the paper established spatial data model and simulated spatial distribution pattern of tourist flows in Nanjing City.The study concludes that, 1) spatial difference law in tourist flows is found within the city.Tourist flow in Nanjing city still belongs to the spatial polarization stage, but the concentration tends to decline and the diffusion gradually strengthens.2) By examining the indexes of Global Moran’s I and Local Moran’s I, concentration of tourist flow is dominant and concentration and diffusion exist synchronously within the city.The tourist flow distribution has obviously positive spatial autocorrelation, which had been weaker in 1995-1999 and stronger in 2001-2005.With the increasing of the number of tourist nodes, the spatial nodal structure has grown gradually since 1995, reflecting more significant positive autocorrelation (spatial dependence).3) By factor analysis, four concentration and diffusion tourism fields are found.4) By using software Surfer 8.0, spatial distribution pattern is core-periphery model.The core tourist area lies in inner city, presenting convergency and concentricity.Meanwhile, the interaction between the tourist areas increased gradually.Tourist flow distribution curves showed characteristic of waves and leap forward.And 5) according to spatial change of tourist flows in Nanjing City, tourist flow mode was constructed.

Cite this article

YANG Xing-Zhu, GU Chao-Lin, WANG Qun, LU Song . Spatial Measure and Simulation of Urban Tourism Flow in Nanjing City, China[J]. SCIENTIA GEOGRAPHICA SINICA, 2011 , 31(7) : 802 -809 . DOI: 10.13249/j.cnki.sgs.2011.07.802


[1] 章锦河,张 捷,李 娜,等.中国国内旅游流空间场效应分析[J].地理研究,2005,24(2):293~303.
[2] Bowden J.A cross-national analysis of international tourist flows in China[J].Tourism Geographies,2003,5(3):257-279.
[3] Pearce D G.Tourism Today:A Geographic Analysis[M].New York:Longman Press,1995.
[4] 保继刚,郑海燕,戴光全.桂林国内客源市场的空间结构演变[J].地理学报,2002,57(1):96~106.
[5] 牛亚菲,谢丽波,刘春凤.北京市旅游客流时空分布特征与调控对策[J].地理研究,2005,24(2):283~292.
[6] 卢 松,陆 林,王 莉,等.古村落旅游客流时间分布特征及其影响因素研究[J].地理科学,2004,24(2):205~256.
[7] 陆 林.山岳风景区旅游季节性研究—以安徽黄山为例[J].地理研究,1994,13(4):50~58.
[8] 陆 林,宣国富,章锦河,等.海滨型与山岳型旅游地客流季节性比较[J].地理学报,2002,57(6):731~740.
[9] 陆 林.山岳风景区客流研究[J].地理学报,1994,49(3):236~244.
[10] 宣国富,陆 林,汪德根,等.三亚市旅游客流空间特性研究[J].地理研究,2004,23(1):115~124.
[11] 张 捷,都金康,周寅康,等.自然观光旅游地客源市场的空间结构研究[J].地理学报,1999,54(4):357~364.
[12] 张 捷,都金康,周寅康 等.观光旅游地客流时间分布特性的比较研究[J].地理科学,1999,19(1):49~54.
[13] 张 红,李九全.桂林境外游客结构特征及时空动态模式研究[J].地理科学,2000,20(4):351~355.
[14] 马耀峰,李天顺.中国入境旅游研究[M].北京:科学出版社,1999.
[15] 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[J].地理学报,2001,56(2):206~213.
[16] 林 岚,康志林,甘萌雨,等.基于航空口岸的台胞大陆旅游流空间场效应分析[J].地理研究,2007,26(2):403~413.
[17] 杨兴柱,顾朝林,王 群.南京市旅游流网络结构构建[J].地理学报,2007,62(7):923~931.
[18] 吴晋峰,包浩生.旅游系统的空间结构模式研究[J].地理科学,2002,22(1):231~239.
[19] 杨新军,马晓龙,霍云霈.旅游目的地区域(TDD)及其空间结构研究[J].地理科学,2004,24(5):432~439.
[20] 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[J].地理研究,2004,23(5):695~704.
[21] 朱 竑,吴旗韬.中国省际及主要旅游城市旅游规模[J].地理学报,2005,60(6):919~927.
[22] 杨国良,张 捷,艾南山等.旅游流齐夫结构及空间差异化特征:以四川省为例[J].地理学报,2006,61(12):1281~1289.
[23] 史春云,张 捷,尤海梅,等.四川省旅游区域核心—边缘空间格局演变[J].地理学报,2007,62(6):631~639.
[24] 张凌云.旅游地引力模型研究的回顾与前瞻[J].地理研究,1989,8(1):76~87.
[25] Benedict D,Aloys B and Harry T.Using conjoint choice experiments to model urban tourists’choice of activity packages[J].Tourism Management,1995,16(5):347-353.
[26] Fennell D.A tourist space-time budget in the Shetland islands[J].Annals of Tourism Research,1996,23(4):811-829.
[27] Shoval N,Isaacson M.Tourism Mobility and Advanced Tracking Technologies[M].Routlege:New York and London,2009.
[28] Lew A,McKercher B.Modeling tourist movements a local destination analysis[J].Annals of Tourism Research,2006,33(2):403-423.
[29] Lew A,McKercher B.Trip destinations,gateways and itineraries:The example of Hong Kong[J].Tourism Management,2002,23(6):609-621.
[30] Lau G,McKercher B.Understanding tourist movement patterns in a destination[J].Tourism and Hospitality Research,2007,7(1):39-49.
[31] McKercher B,Lau G.Movement Patterns of Tourists within a Destination[J].Tourism Geographies,2008,10(3):355-374.
[32] Kemperman A,Joh C.Comparing first time and repeat visitors activity patterns[J].Tourism analysis,2003,8(2):159-164.
[33] Dietvorst A G.Tourist behaviour and the importance of time-space analysis[M]//Ashworth G,Dietvorst A G.Tourism and spatial transformations.Wallingford:CAB International,1995:163-181.
[34] Thornton P R,Williams A M,Shaw G.Revisiting time-space diaries:An exploratory case study of tourist behavior in Cornwall England[J].Environment and Planning A,1997,29(10):1847-1867.
[35] Xia J,Arrowsmith C,Jackson M et al.The wayfinding process relationships between decision-making and landmark utility[J].Tourism Management,2008,29(3):445-457..
[36] Shoval N.Tracking technologies and urban analysis[J].Cities,2008,25(1):21-28.
[37] Shoval N,Isaacson M.Sequence alignment as a method for human activity analysis in space and time[J].Annals of Association of American Geographers,2007,97(2):282-297.
[38] 孟 斌,王劲峰,张文忠等.基于空间分析方法的中国区域差异研究[J].地理科学,2005,25(4):393~400.
[39] Anselin L.Spatial Econometrics,in Companion to Econometrics[M].Oxford:Basil Blackwell,2000.
[40] Tobler W.A computer movie simulating urban growth in the Detroit region[J].Economic Geography,1970,46(2):234-240.
[41] 王 建.Surfer8地理信息制图[M].北京:测绘出版社,2004.