Year: 2024
Type: article
Abstract: The introduction of recent policies and standard guidelines in China has propelled the B&B industry towards transformation and advancement, making B&B tourism a pivotal force in fostering regional tourism growth. Utilizing POI data from B&B in Ningbo, Zhejiang Province, this study employs methodologies including standard deviation ellipses, average nearest neighbor index, kernel density estimation, cold spot analysis, and MGWR to quantitatively analyze the spatial distribution characteristics of B&B and their key determinants. Findings reveal: (1) B&B in Ningbo exhibit a spatial pattern of central clustering surrounded by peripheral dispersion. Ningbo has two high-density core areas for B&B; (2) Ningbo city districts and counties B&B distribution differences, was "northwest - southeast" extended distribution; (3) the location of B&B strongly correlates with tourist attractions; (4) Primary factors influencing B&B distribution in Ningbo, ranked by explanatory power, include attraction density, per capita GDP, urban residents' disposable income, highway density, elevation, and railway density.
Author: Hanning Liu
Institution: Ningbo University
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4404866909