Exploring Spatial Distribution and Influencing Factors of B&Bs in Beijing-Tianjin-Hebei in the Regional Integration Context Based on Big Data

Abstract

Abstract: The integrated and synergistic development of the region of Beijing-Tianjin-Hebei (BTH) is a major national strategy for China to maintain complementary advantages and mutual benefits. The integrated development strategy offers opportunities and challenges for Bed and Breakfasts (B&Bs) in guest sharing, resource sharing, competition and cooperation, branding, and industrial upgrading. Therefore, optimizing resource allocation, enhancing user experience, and assisting in urban planning become particularly crucial for B&Bs development. Therefore, this study utilized the theoretical nearest neighbor distance and Kernel Density Estimation to explore the distribution of B&Bs in the BTH region, and utilized Latent Dirichlet Allocation (LDA) thematic model and regression analysis to analyze the influencing factors from both government and market perspectives and the extent of their influence. The results indicated that significant aggregation characteristics and spatial variability exists in the factors influencing the distribution of B&Bs. All nine factors analyzed based on LDA exerted a significant effect on the distribution of B&Bs, of which the significance of ice and snow activities was at a critical value, mainly because they were limited by specific geographic requirements. Therefore we proposed the following: B&Bs should develop boutique rural B&Bs and community B&Bs around local cultural and tourism characteristics and realize the differentiated and innovative development of the shared B&B industry.