本文關(guān)鍵詞：上海旅游興趣點(diǎn)搜索與點(diǎn)評(píng)熱度空間格局及其耦合性研究　出處：《上海師范大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 搜索熱度 點(diǎn)評(píng)熱度 耦合性

【摘要】：隨著旅游出行成為國(guó)民日常生活的重要組成部分,旅游業(yè)在國(guó)民經(jīng)濟(jì)中的地位進(jìn)一步凸顯。上海作為國(guó)際化大都市,優(yōu)秀旅游目的地形象愈發(fā)鮮明,旅游整體空間結(jié)構(gòu)基本形成。以互聯(lián)網(wǎng)媒體平臺(tái)為主流的網(wǎng)絡(luò)信息日益成為影響旅游者出游的重要因素,旅游者通過游后點(diǎn)評(píng)、游記帶來了不可小覷網(wǎng)絡(luò)口碑效應(yīng),同時(shí)這些社交媒體中包含大量游客出行相關(guān)的POI數(shù)據(jù),為研究旅游空間結(jié)構(gòu)提供了新的視角,網(wǎng)絡(luò)爬蟲技術(shù)也為獲得這些海量信息提供了技術(shù)支撐。本文在國(guó)內(nèi)外旅游空間結(jié)構(gòu)研究的基礎(chǔ)上,以上海225個(gè)旅游興趣點(diǎn)為研究對(duì)象,基于百度指數(shù)、大眾點(diǎn)評(píng)平臺(tái),采用GIS、Geo Da空間分析方法和數(shù)理統(tǒng)計(jì)方法,開展二元數(shù)據(jù)支持下的旅游搜索熱度空間格局與點(diǎn)評(píng)熱度空間格局耦合性研究,探討搜索與點(diǎn)評(píng)空間格局兩者之間的關(guān)系及其影響因素。得出以下結(jié)論:(1)上海市旅游興趣點(diǎn)搜索熱度具有明顯的極化特征,形成“一個(gè)中心旅游圈層”、“四個(gè)旅游片區(qū)、三個(gè)散點(diǎn)”的發(fā)展格局。不同區(qū)縣旅游興趣點(diǎn)搜索熱度差異顯著,浦東新區(qū)搜索熱度最高,普陀區(qū)、靜安區(qū)、虹口區(qū)、奉賢區(qū)、崇明區(qū)搜索熱度較低。旅游興趣點(diǎn)級(jí)別與搜索熱度呈高度正相關(guān),隨著旅游興趣點(diǎn)級(jí)別由高到低,同級(jí)別搜索熱度差異逐漸減小,少部分低級(jí)別旅游興趣點(diǎn),如田子坊在百度搜索攔上頻率相對(duì)較高,搜索熱度高于一些高級(jí)別旅游興趣點(diǎn)。游客對(duì)上海特色街區(qū)與街巷、主題樂園、動(dòng)物與植物展示地顯示出了較大的興趣,對(duì)休閑場(chǎng)館、城市公園、名人故居、宗教場(chǎng)所保持著很低的興趣水平。(2)上海旅游興趣點(diǎn)的點(diǎn)評(píng)熱度與搜索熱度相比較,具有更為明顯的空間分布差異,旅游興趣點(diǎn)點(diǎn)評(píng)熱度之間的差異程度較大。點(diǎn)評(píng)熱度呈現(xiàn)“一核、多心”的空間發(fā)展格局,與搜索熱度格局相比較,中心旅游圈層的范圍變大,基本囊括整個(gè)上海中心城區(qū)乃至延伸到閔行區(qū)西北。上海16個(gè)區(qū)縣的點(diǎn)評(píng)熱度差異程度不明顯,黃浦區(qū)、長(zhǎng)寧區(qū)等評(píng)分高于平均水平,靜安區(qū)、普陀區(qū)、閔行區(qū)、松江區(qū)、寶山區(qū)等評(píng)分低于平均水平。四級(jí)旅游興趣點(diǎn)的評(píng)分均值達(dá)到最高,在第四等級(jí)之后旅游興趣點(diǎn)的評(píng)分之間的差異程度隨著等級(jí)的降低逐步減少。游客對(duì)上海休閑場(chǎng)館、特色街區(qū)與街巷、名人故居、宗教場(chǎng)所、主題樂園保持著好評(píng)的態(tài)度,城市公園、動(dòng)物與植物展示地持著較差評(píng)的態(tài)度。(3)旅游興趣點(diǎn)搜索熱度空間格局與點(diǎn)評(píng)熱度空間格局有一定的相似性又有明顯的差異性。重心均位于徐匯區(qū)的東北方向,均呈集聚分布,搜索空間分布標(biāo)準(zhǔn)差橢圓的面積小于點(diǎn)評(píng)熱度空間分布標(biāo)準(zhǔn)差橢圓。根據(jù)Geo Da進(jìn)行的雙變量局部空間自相關(guān)分析,得出高搜索—高點(diǎn)評(píng)型旅游興趣點(diǎn)44個(gè),低搜索—高點(diǎn)評(píng)型旅游興趣點(diǎn)101個(gè),高搜索—低點(diǎn)評(píng)類型4個(gè),低搜索—低點(diǎn)評(píng)型旅游興趣點(diǎn)10個(gè)。(4)通過對(duì)每一種類型的興趣點(diǎn)評(píng)論進(jìn)行內(nèi)容分析,提煉影響評(píng)分的重要因素,結(jié)合旅游目的地競(jìng)爭(zhēng)力評(píng)價(jià)指標(biāo)體系的基礎(chǔ)上,初步構(gòu)建旅游興趣點(diǎn)網(wǎng)絡(luò)內(nèi)容分析體系,采用李克特五級(jí)量表對(duì)高搜索—低點(diǎn)評(píng)型的網(wǎng)友評(píng)論內(nèi)容進(jìn)行編碼打分,將高搜索—低點(diǎn)評(píng)型指標(biāo)得分與百度指數(shù)進(jìn)行SPSS相關(guān)性分析,得出影響兩者之間的顯著因素有資源豐度、區(qū)位地位、周邊環(huán)境、性價(jià)比、工作人員服務(wù)、垃圾處理設(shè)施、交通設(shè)施。(5)最后,根據(jù)上海市搜索熱度空間格局與點(diǎn)評(píng)熱度空間格局特征、兩者之間的影響因素,提出關(guān)于高搜索—低點(diǎn)評(píng)旅游興趣點(diǎn)的三條發(fā)展優(yōu)化策略:提升工作人員整體素質(zhì)與服務(wù)態(tài)度、營(yíng)造良好優(yōu)美的旅游公共服務(wù)環(huán)境、打造魅力豐富的鮮明旅游品牌形象。
[Abstract]:With travel has become an important part of people's daily life, the role of tourism industry in the national economy is further highlighted. Shanghai as an international metropolis, excellent tourism destination image more vivid, overall tourism spatial structure is basically formed. By the Internet media platform for mainstream network information is becoming an important factor affecting tourist travel, tourists through travel reviews, travel has brought significant word-of-mouth effect, at the same time these social media contains a large number of tourists travel related POI data, to study the spatial structure of tourism provides a new perspective, the web crawler technology also provides technical support for these vast amounts of information. Based on the domestic and foreign Research on the spatial structure of tourism in Shanghai, 225 points of interest in tourism as the research object, based on the Baidu index, the public comment platform, using GIS Geo, Da space Analysis method and mathematical statistics method, carry out the two metadata under the support of the tourism research of spatial pattern and heat pattern coupling heat comment space search, explore the relationship between the two factors and comments on the search space pattern and its influence. Draw the following conclusions: (1) Shanghai city tourism interest point search heat with polarization characteristics, forming a "a center of tourism circle", "four area tourism development pattern and three spot. Different county tourism interest point search heat difference, Pudong New Area search Putuo District, Jingan District, the highest heat, Hongkou District, Fengxian District, Chongming area search heat low. Tourism interest level was positively correlated with the search with the heat. Tourism interest points from high level to low level, the same search heat difference decreases gradually, a few low level tourism points of interest, such as Tianzifang in the Baidu search stopped on the relative frequency High search heat higher than some high level tourism interest. Visitors to the streets and alleys, the characteristics of Shanghai theme park, animal and plant display to show the great interest of leisure venues, city parks, celebrities, religious sites maintained a very low level of interest. (2) Shanghai tourism point of interest comment on heat and heat search compared with more spatial distribution differences between the tourism interest difference greatly. Heat comment comment is "a suspicious nuclear heat," the spatial development pattern, compared with search heat pattern, center of tourism becomes large, basically encompasses the entire Shanghai city center and extending to the northwest of Minhang District. The degree of heat difference comments on 16 counties of Shanghai is not obvious, Huangpu District, Changning District score is higher than the average level, Jingan District, Putuo District, Minhang District, Songjiang District, Baoshan District and other. Four points below the average level. The mean score of tourist interest reached the highest in the fourth grade after the difference degree between tourism interest point score with the level decreased gradually reduced. Visitors to the Shanghai leisure venues, neighborhood characteristics and streets, celebrities, religious sites, theme park maintained a city park, praise attitude animal and plant display their poor rating attitude. (3) tourism interest point search heat spatial pattern and spatial pattern of heat comments have some similarities and differences. The north east direction of center are located in Xuhui District, showed a clumped distribution, search space distribution of standard deviation ellipse area is less than the distribution of comments standard deviation ellipse heat space. According to the double variable Geo Da local spatial autocorrelation analysis, the high - high rated tourist search 44 points of interest, low - high tourism search comments 101 points of interest, high - low reviews 4 types of search, search and evaluation of tourism low lows 10 points of interest. (4) the content of each type of interest point critical analysis, refining the important factors influencing the score, based on index system of tourism destination competitiveness evaluation, preliminary construction tourism interest network content analysis system, using the Likert five scale encoding scoring for comment content search - low rating type, high - low rating index search Baidu index score and SPSS correlation analysis, the impact of significant factors between resource abundance, geographical position, surrounding environment, price, staff services, waste disposal facilities, transportation facilities (5). Finally, according to the features of heat spatial pattern and spatial pattern of heat comment search Shanghai City, between the two factors, put forward a high. The three development optimization strategies of cable low comment tourism interest points are to enhance the overall quality and service attitude of staff, create a beautiful and beautiful tourism public service environment, and create attractive and colorful tourism brand image.

【學(xué)位授予單位】：上海師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：F592.7

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