Spatial Accessibility Analysis and Optimization Simulation of Urban Riverfront Space Based on Space Syntax and POIs: A Case Study of Songxi County, China

Abstract

Optimizing accessibility to urban riverfront spaces plays a pivotal role in enhancing the spatial vitality of urban regions and promoting the high-quality development of such areas. The degree of riverfront space accessibility can be assessed through the connectivity of urban roads, which directly impacts the spatial vitality of these areas. This study constructs an axial and segmental model of the urban road network based on the space syntax theory. Through the Geographic Information System (GIS), kernel density analysis is performed on the Points of Interest (POI) and Depthmap data of Songxi County to comprehensively examine the reasonableness of the segmental network model and its visual representation. Quantitative evaluation of the accessibility of riverfront space in Songxi County from three dimensions, namely topological accessibility, geometrical accessibility, and perceptual accessibility, is conducted. The results show that (1) the accessibility of high-value area of riverfront space in Songxi County’s central city exhibits an unbalanced distribution, with a concentration in the central area. (2) A certain degree of mismatch exists between the distribution area of high accessibility in urban space and that of the waterfront space, highlighting the need for improved traffic planning in the riverfront area. (3) Weak spatial connections are shown between the north and south riverfronts, with areas of high accessibility values showing a clear break at the riverbank. Based on the results of the quantitative analysis, the proposed approach involves optimizing the spatial layout of urban roads and riverfront spaces through several key strategies. These strategies encompass enhancing the layout of the transport network, strengthening the coupling links between the two sides of the river, enriching the functions of the riverfront space, and conducting simulations to test the feasibility of these measures. The simulation results revealed a noteworthy enhancement in the integration and choice value of urban roads and riverfront spaces. Therefore, the optimization strategy employed in this study significantly improved the connectivity and accessibility of the overall transport network, leading to a more balanced distribution of high accessibility value areas within the city and riverfront space. This paper centers on the interaction between individuals and the river, to enhance the restoration of riverfront vitality. As a result, it is anticipated to provide valuable insights into the sustainable development of riverfront spaces.