本文選題：自駕旅游流　切入點(diǎn)：市場(chǎng)特征　出處：《世界地理研究》2017年06期 　論文類型：期刊論文

【摘要】：以網(wǎng)絡(luò)游記數(shù)據(jù)挖掘?yàn)榛A(chǔ),綜合運(yùn)用社會(huì)網(wǎng)絡(luò)分析方法、GIS和數(shù)理統(tǒng)計(jì)技術(shù),揭示福建省自駕入游流市場(chǎng)及網(wǎng)絡(luò)結(jié)構(gòu)特征。市場(chǎng)特征為:出游高峰期與低谷期年內(nèi)交替四次,呈現(xiàn)明顯的雙"M"型,高峰期與我國(guó)"長(zhǎng)假"時(shí)間高度吻合;結(jié)伴方式以夫妻、親子、帶父母的家庭出游方式為主(占60.1%),其次為親朋好友(占27.1%);88.18%的自駕游客在福建省內(nèi)停留時(shí)間不超過6天,其中逗留3天(占23.15%)的比例最高;自駕游省外客源市場(chǎng)結(jié)構(gòu)呈現(xiàn)明顯的近地域性和沿海發(fā)達(dá)省份和城市的高度集中性;自駕游單程公路里程空間使用曲線具有較為典型的Boltzman曲線特點(diǎn),一、二級(jí)客源市場(chǎng)范圍單程公路里程分別為0-800km和800-1400km,1400km以外為三級(jí)客源市場(chǎng)。網(wǎng)絡(luò)結(jié)構(gòu)特征為:網(wǎng)絡(luò)節(jié)點(diǎn)地位呈現(xiàn)較強(qiáng)的不均衡性,兩極分化明顯,核心節(jié)點(diǎn)之間的互動(dòng)頻率遠(yuǎn)高于邊緣節(jié)點(diǎn);整體上看,福建省自駕入游流空間等級(jí)序列明顯,核心區(qū)和重要區(qū)域所占比例偏小,空間分布呈現(xiàn)"整體分散、局部集中"的格局,旅游流集中于思明區(qū)、南靖縣、鼓樓區(qū)、永定區(qū)、武夷山市等高級(jí)別景區(qū)所在的區(qū)域。節(jié)假日制度、單程公路距離及高級(jí)別景區(qū)對(duì)自駕旅游流的形成影響較大,省內(nèi)節(jié)點(diǎn)間公路距離對(duì)旅游流的影響極小。
[Abstract]:Based on the data mining of online travel records, this paper uses the social network analysis method GIS and mathematical statistics technology to reveal the characteristics of self-driving travel flow market and network structure in Fujian Province. The market characteristics are as follows: the peak and low travel periods alternate four times in a year. There is an obvious double "M" pattern, and the peak period is highly consistent with the "long vacation" period in our country; the way of marriage is husband and wife, parents and children. Family travel with parents was the main way (60.1%), followed by relatives and friends (27.1% of self-driving tourists stay in Fujian province for no more than 6 days, among which the proportion of stay 3 days (23.15%) was the highest; The structure of tourist market outside the province is obviously near regional and highly concentrated in developed coastal provinces and cities. The spatial usage curve of one-way highway mileage has the typical Boltzman curve. The mileage of one-way highway in the second class passenger market range is 0-800 km and 800-1400 km / 1 400 km respectively. The network structure is characterized by strong imbalance of network node status and obvious polarization. The frequency of interaction between core nodes is much higher than that of marginal nodes. On the whole, the spatial sequence of self-driving swimming flow in Fujian Province is obvious, the proportion of core area and important area is small, and the spatial distribution is "overall scattered, local concentrated" pattern. Tourism flows are concentrated in the areas of Siming District, Nanjing County, Gulou District, Yongding District, Wuyishan City and other high level scenic spots. The holiday system, one-way highway distance and high-level scenic spots have a great impact on the formation of self-driving tourism flows. The influence of the highway distance between the nodes in the province on the tourist flow is minimal.
【作者單位】： 泉州師范學(xué)院資源與環(huán)境科學(xué)學(xué)院;
【基金】：福建省教育廳2016年度中青年項(xiàng)目(JAT160420,JAS160456) 福建省科技廳項(xiàng)目(2016R0081) 泉州市社科聯(lián)項(xiàng)目(2016H12)
【分類號(hào)】：G895
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本文編號(hào)：1603573