Transportation infrastructure plays an important role in tourism, and the spatial econometric model (GWPR) can offer quantitative support for regionalized development policies in transportation infrastructure. Panel data from 30 provinces were collected for a decade before the COVID-19 pandemic. We show that the GWPR model is a superior tool for assessing the combined impact of transportation infrastructure on tourism and its spatial heterogeneity. The effects of transportation infrastructure on tourism have historically been overwhelmingly positive, with the positive effect of high-speed rail expanding over the decade, while the positive effect of air travel contracted. The combined effects of transportation infrastructure vary across space and time. Additionally, the evolution of the effects exhibits spatial heterogeneity. The 30 provinces in this study are categorized into five types, and targeted implementation strategies for transportation infrastructure are formulated.

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As a new engine of urban development, the high-speed rail (HSR) station area is an emerging location where the service industry is concentrated. This study aims to reflect the development of accommodation facilities in transport hub areas through the spatial distribution and agglomeration characteristics of the lodging industry in HSR station areas. HSR stations in Beijing, Tianjin, Nanjing, Jinan, Kunshan, and Xuzhou are selected. The Geodetector model is applied to analyze the pertinent driving factors. The findings indicate that: (1) The smaller the population size of the city, the closer the high agglomeration area of the accommodation industry in the HSR station area is to the HSR station. (2) The longer the HSR station is open, the stronger the agglomeration intensity of the accommodation industry is. (3) At HSR stations in various cities, the driving factors affecting the accommodation industry are heterogeneous. The interaction between the factors has a synergistic enhancement effect.