本文選題：入境旅游 + 旅游季節(jié)性��； 參考：《華東師范大學(xué)》2014年碩士論文

【摘要】：入境旅游作為我國旅游業(yè)的重要組成部分,與國內(nèi)旅游一樣,同樣受到來自自然、社會或突發(fā)事件而引起的季節(jié)性所帶來的困擾,這種旅游季節(jié)性的存在不但給旅游地經(jīng)濟、生態(tài)和社會帶來不同程度的負面影響,還嚴重影響了游客的旅游體驗質(zhì)量,使我國的國際旅游形象受到損害�；诖�,本文以我國22個熱點旅游城市為研究對象,截取2006至2012年各城市月度入境旅游接待人次作為面板數(shù)據(jù),采取定量與定性相結(jié)合的方法對其季節(jié)性空間分布規(guī)律進行探討。 首先,文章從理論層面對旅游季節(jié)性和反季旅游進行了概念上的界定,進而提出旅游季節(jié)性的成因、表現(xiàn)形式及影響等相關(guān)理論基礎(chǔ)。然后從實證的角度對我國22個熱點旅游城市的入境旅游季節(jié)性特征進行分析,主要步驟如下：①首先運用分形理論對我國22個熱點旅游城市的入境旅游流空間等級結(jié)構(gòu)進行分析,發(fā)現(xiàn)其具有“極核群”式結(jié)構(gòu)特征,然后從時空兩個維度分別運用年際變動指數(shù)和重心模型對我國22個熱點旅游城市入境旅游流的年際時間和空間變化進行解析；②通過對各熱點旅游城市的淡旺季進行劃分,結(jié)合月度入境旅游流重心變化,得出22個熱點旅游城市入境旅游季節(jié)性在空間上的變化規(guī)律；③運用基尼系數(shù)對我國22個熱點旅游城市的入境旅游季節(jié)性強度進行測算,得出其入境旅游季節(jié)性分布均勻性程度及其發(fā)展趨勢,并將22個熱點旅游城市歸為五大區(qū)域,通過對其區(qū)域內(nèi)和區(qū)域間季節(jié)性強度差異程度的對比,總結(jié)出其季節(jié)性強度差異的空間分布規(guī)律；④運用多維標(biāo)度法對各城市入境旅游季節(jié)性空間分布相似性進行分析,發(fā)現(xiàn)其入境旅游季節(jié)性分布在空間上可以聚為三類(北上廣為代表的無峰型、蘇州為代表的雙峰型、青島和重慶為代表的多峰型)。最后,文章基于推拉理論提出入境客源國的休假制度和氣候條件(推力因素)、旅游目的地的氣候條件和旅游資源類型(拉力因素)是影響我國入境旅游季節(jié)性的主要因素。在此基礎(chǔ)上,文章提出包括“建立全國性的旅游季節(jié)性網(wǎng)絡(luò)信息平臺、樹立旅游無淡旺季的觀念、加大淡季旅游產(chǎn)品開發(fā)力度、資源集群式開發(fā)、運用價格杠桿、目的地聯(lián)合營銷”在內(nèi)的一系列緩解我國入境旅游季節(jié)性的措施。
[Abstract]:As an important part of China's tourism industry, inbound tourism, like domestic tourism, is also troubled by the seasonality caused by natural, social or unexpected events. The existence of this kind of tourism seasonality not only contributes to the economy of the tourist destination, Ecology and society bring negative effects to different degrees, but also seriously affect the quality of tourists' tourism experience, and damage the international tourism image of our country. Based on this, this paper takes 22 hot tourist cities in China as the research object and intercepts monthly inbound tourist arrivals from 2006 to 2012 as panel data. The seasonal spatial distribution law is discussed by combining quantitative and qualitative methods. First of all, the paper defines tourism seasonality and off-season tourism from the theoretical level, and then puts forward the causes, forms and effects of tourism seasonality. Then the seasonal characteristics of inbound tourism in 22 hot tourist cities in China are analyzed from the perspective of empirical analysis. The main steps are as follows: firstly, using fractal theory to analyze the spatial structure of inbound tourist flow in 22 hot tourist cities in China, and find that it has the characteristics of "polar core group" structure. Then the interannual time and space changes of inbound tourist flow of 22 hot tourist cities in China are analyzed from two dimensions of space-time and space-time using the index of interannual variation and the barycenter model respectively. 2 through the division of the light peak season of each hot tourist city. Combined with the change of the center of gravity of monthly inbound tourism flow, the seasonal variation of inbound tourism in 22 hot tourist cities is obtained. The seasonal intensity of inbound tourism in 22 hot tourist cities in China is measured by using Gini coefficient. The seasonal distribution uniformity of inbound tourism and its development trend are obtained, and 22 hot tourist cities are classified into five regions, and the differences of seasonal intensity within and between regions are compared. The spatial distribution law of the seasonal intensity difference is summarized. (4) the similarity of seasonal spatial distribution of inbound tourism in different cities is analyzed by using multidimensional scale method. It is found that the seasonal distribution of inbound tourism can be divided into three types: the non-peak type which is widely represented in the north, the two-peak type represented by Suzhou, and the multi-peak type represented by Qingdao and Chongqing. Finally, based on the push-pull theory, the paper points out that the vacation system and climatic conditions (thrust factors, climatic conditions of tourist destinations and types of tourist resources (pull factors) are the main factors that affect the seasonality of inbound tourism in China. On the basis of this, the paper puts forward that "establishing a national tourism seasonal network information platform, establishing the concept of tourism without light peak season, increasing the intensity of off-season tourism product development, resources cluster development, using price leverage," A series of measures to alleviate the seasonality of inbound tourism in China.
【學(xué)位授予單位】：華東師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：F592

【參考文獻】

相關(guān)期刊論文 前10條

1 夏玢;景區(qū)集群開發(fā)對客流季節(jié)性分布的影響——以安徽省潛山縣為例[J];安徽師范大學(xué)學(xué)報(自然科學(xué)版);2005年02期

2 顏磊;許學(xué)工;章小平;;九寨溝世界遺產(chǎn)地旅游流時間特征分析[J];北京大學(xué)學(xué)報(自然科學(xué)版);2009年01期

3 王羽;;試析緩解旅游季節(jié)性途徑[J];赤峰學(xué)院學(xué)報(自然科學(xué)版);2011年03期

4 張佑印;馬耀峰;趙現(xiàn)紅;;中國一級城市入境旅游流時空演變模式分析[J];城市問題;2008年02期

5 盧松,陸林,王莉,王詠,梁棟棟,楊釗;古村落旅游客流時間分布特征及其影響因素研究——以世界文化遺產(chǎn)西遞、宏村為例[J];地理科學(xué);2004年02期

6 張捷,都金康,周寅康,張思彥,蔣兆剛;觀光旅游地客流時間分布特性的比較研究——以九寨溝、黃山及福建永安桃源洞鱗隱石林國家風(fēng)景名勝區(qū)為例[J];地理科學(xué);1999年01期

7 陸林,宣國富,章錦河,楊效忠,汪德根;海濱型與山岳型旅游地客流季節(jié)性比較——以三亞、北海、普陀山、黃山、九華山為例[J];地理學(xué)報;2002年06期

8 牛亞菲,謝麗波,劉春鳳;北京市旅游客流時空分布特征與調(diào)控對策[J];地理研究;2005年02期

9 張朝枝;保繼剛;;休假制度對遺產(chǎn)旅游地客流的影響——以武陵源為例[J];地理研究;2007年06期

10 陸林;山岳風(fēng)景區(qū)旅游季節(jié)性研究—以安徽黃山為例[J];地理研究;1994年04期

，

本文編號：1813912