| 英文摘要： |
This study uses multiple sources of data, including comments on the Internet and the urban transport road network, to analyze the spatial differentiation in the quality of different business environments in the main city area of Dalian. In addition, we used the local Getis-OrdGi* index and the space syntax model as references to optimize the space form of the commercial environment. This study reveals the internal relationship between the road network and quality of the commercial environment based on big data; this result has an innovative and guiding significance for urban commercial development. The study achieved the following results. First, the hotspots of business environment quality features a spatial pattern of one main and four secondary. Second, the road networks with high global integration are mainly situated in the central city, the main road to the outer city, and the key transport hubs. Third, global integration, local integration, and local choice of the road network have a relatively large impact on the business environment quality. Additionally, the impact of the global choice on the business environment quality is relatively small. Fourth, the correlation coefficient between global choice and the quality of business environments for leisure and entertainment suggest a positive relationship, but negatively correlates with life services and science, education, culture, and health. Finally, the local choice is negatively correlated with the quality of business environments for science, education, culture, and health, whereas it positively correlates with the business environment quality for leisure and entertainment and life services. |
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