干旱区地理2026，Vol.49Issue(6)：1288-1298,11.DOI:10.12118/j.issn.1000-6060.2025.596
甘肃省民宿空间格局及影响因素研究
Spatial distribution and influencing factors of homestays in Gansu Province
摘要
Abstract
Tourism resource endowment,traffic accessibility,and regional economic development are widely ac-knowledged as key factors shaping the spatial distribution of homestays.However,it remains uncertain whether the dominant influence and relative importance of these factors vary significantly across different regional con-texts.In regions with distinct development stages,unique resource endowments,and diverse market conditions,whether the core mechanisms driving homestay agglomeration undergoes fundamental changes require further empirical investigation.To address this gap,this study examines Gansu Province—a less economically developed region in western China experiencing rapid growth in the homestay industry—as a case study.Utilizing the near-est neighbor index,kernel density estimation,spatial autocorrelation analysis,and geographical detector methods,this study analyzes the spatial distribution patterns and driving mechanisms of homestays under heterogeneous de-velopment conditions,based on POI data from 2667 homestays and 14 influencing factors.The results indicate that:(1)Homestays in Gansu Province exhibit a highly clustered spatial distribution,characterized by denser con-centrations in the east and sparser distributions in the west,dual-core leadership,spoon-shaped layout,and periph-eral rarity.Lanzhou and Dunhuang serve as primary agglomeration centers,with development axes along the Hexi Corridor and southeastern Gansu.Ecological barrier zones,alpine pastoral areas,desert Gobi regions,and mountainous valleys are largely devoid of homestays.(2)At the macro-municipal(county)scale,the global Mo-ran's I index suggests a random distribution,while at the micro scale(5-10 km),a significant short-distance ag-glomeration effect is observed,which has weak correlation with administrative divisions,demonstrating both ag-glomeration dependence and scale sensitivity.(3)Hotspots cluster in Dunhuang and along the Lanzhou-Longnan-Gannan belt,with sub-hotspots distributed peripherally.Anomalous zones,including Tianshui urban districts,Kongtong District,Xifeng District(high-low type),and Zhouqu County,Aksay County,and Min County(low-high type),surrounded by high or low values,show unbalanced development and strong growth potential.Cold-spots are mainly found in central and eastern Gansu,anchored by Tongwei County and Zhuanglang County,form-ing a pattern of decreasing confidence from the core to the periphery.(4)Among influencing factors,non-home-stay hotel density(q=0.375),scenic spot kernel density(q=0.264),and cultural/intangible cultural heritage densi-ty(q=0.188)are most significant,indicating that homestay locations depend heavily on existing accommodation infrastructure and high-quality tourism resources.While climate comfort has a limited independent impact,it acts as a latent amplifier notably enhancing the effects of other drivers(e.g.,interaction q-value with non-homestay ho-tel density reaches 0.548).(5)In less economically developed regions with abundant ecological and cultural re-sources,such as Gansu,homestay development follows a synergistic logic of facility-resource-environment inter-action rather than relying solely on market demand or capital input.This study offers empirical insights into the unique development patterns of the homestay industry in underdeveloped areas and provides guidance for opti-mizing regional homestay layout and formulating differentiated policy approaches.关键词
民宿/空间分析/聚集特征/甘肃省Key words
homestay/spatial analysis/clustering characteristics/Gansu Province引用本文复制引用
许可娟,何瑛,王军..甘肃省民宿空间格局及影响因素研究[J].干旱区地理,2026,49(6):1288-1298,11.基金项目
兰州文理学院校基金项目(202105) （202105）
甘肃省教育厅2023年高校产业支撑计划项目(2023CYZC-73)资助 （2023CYZC-73）
