CBCSA

Calculate accessibility for the CBCSA modl and save the results as a csv file.ABSTACT(CBCSA): The congestion model, which utilizes congestion to correct the attractiveness of supply points and determine population flow, is an important direction in recent spatial accessibility research. However, traditional models overlook the congestion instability and the dimensional inconsistency between supply volume and travel distance, leading to unreasonable accessibility assessment results. To address these limitations, this study develops a cost-balanced congestion supply accessibility (CBCSA) model. The CBCSA model uses iterative calculations to address instability issues related to congestion and its effect on supply decay. It also introduces additional parameters to balance the difference between supply levels and travel costs to avoid unrealistic assumptions such as “favouring the distant over the near”. In addition, the CBCSA model adopts the Pareto optimization to determine the optimal parameter setting under predefined constraints (e.g. travel distance or congestion), which enhances the model’s adaptability to different scenarios. Simulation and real-world experiments demonstrate that, compared with traditional CSA and 2SFCA models, the CBCSA model reduces average costs and improves the overall accessibility with a more rational spatial distribution. The CBCSA model vividly reflects the people’s game process in obtaining supplies and can simulate accessibility changes under different preconditions, supporting policy-making and flow management towards enhancing accessibility.