Spatio-temporal analysis of the impact of road network patterns on store rents in core business districts based on sDNA modeling

Store rent is one of the important indicators of urban commercial vitality and commercial value of a location, and it is also a hot issue in economic geography. Based on the spatial design network analysis (sDNA model) of 115 stores in Changchun Guilin Road commercial district, the study explores the influencing factors behind the rent of stores in the core commercial district in terms of accessibility and road network morphology by means of geospatial analysis methods and statistical methods. The results show that: In areas of oversupply in business districts, the over-concentration of commercial service facilities not only leads to a drop in rents, making it difficult to rent out some stores or to maintain profitability, but also triggers duplicated construction of facilities and a waste of resources, as well as homogenized competition among stores, resulting in a single format and insufficient attractiveness, thereby weakening the vitality of commerce. However, in areas where demand outstrips supply, facilities are relatively scarce and residents have to rely on transportation to get to facilities that are farther away, which greatly increases the cost of accessibility. The study recommends the implementation of policies such as tax subsidies and flexible rents to guide the distribution of commercial service facilities to secondary streets and areas away from main roads, and the further flexible use of limited space through co-working and shared dining.