摘要
随着全域旅游的提出以及游客对体验式旅游需求的强化与升级,民宿逐渐成为当地旅游业发展的重要因素。本研究基于大数据爬虫技术获取山东省民宿POI数据,并利用多种空间分析方法,对山东省民宿POI的空间分布特征以及影响因素进行了分析。结果表明,山东省民宿POI空间分布整体上呈现极显著聚集模式,并形成了青岛日照沿海连片区、威海烟台沿海连片区、济南—泰安等三大核心聚集区,且分布密度以三核为中心向外围呈条带状或环状递减;2012—2018年民宿POI总体空间分布均为“西南—东北”方向,但其发展方向趋势性强度、聚集程度以及中心位置逐年有所变化;5A级景区和省级及以上旅游度假区对山东省民宿的空间分布具有较强的聚集效应。此研究结果可为山东省民宿这一新兴旅游业态的选址、开发与升级提供科学依据与参考。
With the proposal of global tourism and the strengthening and upgrading of tourists'demand for experiential tourism,homestay inn has gradually become an important factor in the development of local tourism.Based on big data crawler technology,this study obtained the POI data of homestay inn in Shandong province and analyzed the spatial distribution characteristics and influencing factors of homestay inn POI in Shandong province by using various spatial analysis methods.The results show that the spatial distribution of homestay inn POI in Shandong province shows a very significant aggregation pattern as a whole and forms three core aggregation areas,such as Qingdao Rizhao coastal contiguous area,Weihai Yantai coastal contiguous area,Jinan Tai'an,and the distribution density of the three cores as the center decreased in a strip or ring;The overall spatial distribution of homestay inn POI from 2012 to 2018 was in the direction of"southwest to northeast",however,the trend intensity of its development direction,the degree of aggregation and the central location have changed year by year;5A level scenic spots and provincial and above tourist resorts have a strong aggregation effect on the spatial distribution of homestay inn in Shandong province.The results of this study can provide scientific basis and reference for the location,development and upgrading of homestay inn in Shandong Province.
作者
赵一静
张安定
张筠
ZHAO Yijing;ZHANG Anding;ZHANG Jun(School of Resources and Environmental Engineering,Ludong University,Yantai 264025,China)
出处
《测绘与空间地理信息》
2022年第8期140-143,147,共5页
Geomatics & Spatial Information Technology
关键词
民宿
空间分布
POI数据
GIS
山东省
homestay inn
spatial distribution
POI
GIS
Shandong Province
