“丝绸之路旅游带”景区区位优势等级测度与影响机理
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摘要
景区区位条件是旅游空间行为规划的基础。针对当前主流测度模型中"非此即彼"问题,以"丝绸之路旅游带"为例,基于旅游资源、旅游市场、旅游交通、旅游服务四大特征指数构建景区区位优势度测度模型,引入D-S证据理论对景区区位优势等级进行评价,并系统探究其影响机理。结果显示:"丝绸之路旅游带"5A级景区区位优势等级体系呈现"结构破缺—重心偏离—波动显著"的特征;景区区位优势等级空间格局具有较高的交通指向性和中心性;不同区域景区区位优势等级差异明显,制约因子不同;景区区位优势等级空间分布受自然和人文因素共同影响,其中资源禀赋、地形地貌是内生因素,社会经济、交通条件是外部推动力。
The location condition of scenic area is the foundation of tourism spatial behavior planning. For the problem of the "black or white" in the mainstream measure models of mathematical statistics and spatial analysis, this article presents a novel method based on the improved D-S evidence theory and integrates multi-feature to measure the regional advantage level of scenic areas. This paper, taking the "Tourism Belt of the Silk Road" as an research object, establishes regional advantage measurement model of scenic area from four aspects: tourism resource, tourism market, tourism traffic and tourism service, analyzes the regional advantage level of scenic area by the D-D evidence theory and explores its influence factors. The results show that: 1) It presents the characteristics of "structure broken-gravity center deviationobvious fluctuation" in the regional advantage level of 5 A scenic areas. 2)The spatial distribution pattern of its regional advantage level has obvious traffic-oriented, which is prominent in the area near the key traffic node. In terms of provincial scale, the geographical advantage owns the central character, forming the four concentration areas: Xi'an,Xining, Yinchuan and Urumqi. 3) In different regions, the regional advantage level of scenic areas has significant differences, which is influenced by varies restrained factors. 4)The spatial distribution of regional advantage level of scenic areas is influenced by natural and cultural factors, of which resource endowment and topography are endogenous factors, and social economy and traffic conditions are external forces.
The location condition of scenic area is the foundation of tourism spatial behavior planning. For the problem of the "black or white" in the mainstream measure models of mathematical statistics and spatial analysis, this article presents a novel method based on the improved D-S evidence theory and integrates multi-feature to measure the regional advantage level of scenic areas. This paper, taking the "Tourism Belt of the Silk Road" as an research object, establishes regional advantage measurement model of scenic area from four aspects: tourism resource, tourism market, tourism traffic and tourism service, analyzes the regional advantage level of scenic area by the D-D evidence theory and explores its influence factors. The results show that: 1) It presents the characteristics of "structure broken-gravity center deviationobvious fluctuation" in the regional advantage level of 5 A scenic areas. 2)The spatial distribution pattern of its regional advantage level has obvious traffic-oriented, which is prominent in the area near the key traffic node. In terms of provincial scale, the geographical advantage owns the central character, forming the four concentration areas: Xi'an,Xining, Yinchuan and Urumqi. 3) In different regions, the regional advantage level of scenic areas has significant differences, which is influenced by varies restrained factors. 4)The spatial distribution of regional advantage level of scenic areas is influenced by natural and cultural factors, of which resource endowment and topography are endogenous factors, and social economy and traffic conditions are external forces.
引文
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[20]史琴琴,康江江,鲁丰先.山西省县域可达性及城市经济联系格局[J].地理科学进展,2016,35(11):1 340-1 351.
[21]高湛军,李思远,彭正良,等.基于网络树状图和改进D-S证据理论的配电网故障定位方法[J].电力自动化设备,2018,38(6):65-71.
[22]袁杰,王福利,王姝,等.基于D-S融合的混合专家知识系统故障诊断方法[J].自动化学报,2017,43(9):1 580-1 587.
[23]向阳辉,张干清,庞佑霞.结合SVM和改进证据理论的多信息融合故障诊断[J].振动与冲击,2015,34(13):71-77.
[24]赵秋月,左万利,田中生,等.一种基于改进D-S证据理论的信任关系强度评估方法研究[J].计算机学报,2014,37(4):873-883.
[25]陶洋,任步廷.基于局部冲突分配策略的证据合成法则的改进[J].计算机工程,2012,38(15):268-270.
[26]丛林虎,徐廷学,董琪.基于改进证据理论的导弹状态评估方法[J].系统工程与电子技术,2016,38(1):70-76.
[27]李凤,汪德根,刘昌雪.中国自驾车房车营地空间分布特征及其驱动机制[J].资源科学,2017,39(2):288-302.
[2]吴清,李细归,吴黎,等.湖南省A级旅游景区分布格局及空间相关性分析[J].经济地理,2017,37(2):193-200.
[3]王录仓,杨志鹏,武荣伟,等.甘肃黄河三峡景区旅游资源空间结构研究[J].干旱区研究,2016,33(1):215-222.
[4]王洪桥,袁家冬,孟祥君.东北地区A级旅游景区空间分布特征及影响因素[J].地理科学,2017,37(6):895-903.
[5]吴丽敏,黄震方,周玮,等.江苏省A级旅游景区时空演变特征及其动力机制[J].经济地理,2013,33(8):158-164.
[6]隋丽娜,程圩.三类不同开放程度景区游客感知差异研究[J].人文地理,2014,29(4):126-133.
[7]李莉,颜丙金,张宏磊,等.景区游客拥挤感知多维度内涵及其影响机制研究--以三清山为例[J].人文地理,2016,31(2):145-152.
[8]Wang X,Li X,Zhen F,et al.How smart is your tourist attraction?:Measuring tourist preferences of smart tourism attractions via a FCEM-AHP and IPA approach[J].Tourism Management,2016,54:309-320.
[9]Chen L,Ng E,Huang S C,et al.A Self-Evaluation System of Quality Planning for Tourist Attractions in Taiwan:An Integrat‐ed AHP-Delphi Approach from Career Professionals[J].Sus‐tainability,2017,9(10):1 751.
[10]汪侠,甄峰,吴小根.基于游客视角的智慧景区评价体系及实证分析--以南京夫子庙秦淮风光带为例[J].地理科学进展,2015,34(4):448-456.
[11]郑永贤,薛菲,张智光.森林旅游景区生态安全IRDS模型实证研究[J].资源科学,2015,37(12):2 350-2 361.
[12]包珺玮,王晓峰,宋光飞,等.基于IPA法的精品旅游景区服务质量定量评价--以翠华山景区为例[J].干旱区资源与环境,2015,29(2):196-201.
[13]靳诚,陈星竹.南京城市内部景区的公交优势度分析[J].地域研究与开发,2015,34(4):60-63.
[14]孙建伟,田野,崔家兴.湖北省旅游空间结构识别与可达性测度[J].经济地理,2017,37(4):208-217.
[15]王兆峰,李丹.基于交通网络的区域旅游空间合作效率评价与差异变化分析--以湘西地区为例[J].地理科学,2016,36(11):1 697-1 705.
[16]吴丽云,董锁成.大都市边缘区的旅游区位及发展战略[J].社会科学家,2011(3):90-92,104.
[17]郭建科,王绍博,王辉.国家级风景名胜区区位优势度综合测评[J].经济地理,2017,37(1):187-195.
[18]戢晓峰,张力丹,陈方.云南省自驾游发展水平与旅游交通可达性的空间分异及耦合[J].经济地理,2016,36(5):195-201.
[19]王绍博,郭建科.中国风景名胜区交通可达性及市场潜力空间测度[J].地理研究,2016,35(9):1 714-1 726.
[20]史琴琴,康江江,鲁丰先.山西省县域可达性及城市经济联系格局[J].地理科学进展,2016,35(11):1 340-1 351.
[21]高湛军,李思远,彭正良,等.基于网络树状图和改进D-S证据理论的配电网故障定位方法[J].电力自动化设备,2018,38(6):65-71.
[22]袁杰,王福利,王姝,等.基于D-S融合的混合专家知识系统故障诊断方法[J].自动化学报,2017,43(9):1 580-1 587.
[23]向阳辉,张干清,庞佑霞.结合SVM和改进证据理论的多信息融合故障诊断[J].振动与冲击,2015,34(13):71-77.
[24]赵秋月,左万利,田中生,等.一种基于改进D-S证据理论的信任关系强度评估方法研究[J].计算机学报,2014,37(4):873-883.
[25]陶洋,任步廷.基于局部冲突分配策略的证据合成法则的改进[J].计算机工程,2012,38(15):268-270.
[26]丛林虎,徐廷学,董琪.基于改进证据理论的导弹状态评估方法[J].系统工程与电子技术,2016,38(1):70-76.
[27]李凤,汪德根,刘昌雪.中国自驾车房车营地空间分布特征及其驱动机制[J].资源科学,2017,39(2):288-302.
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