Construction and Application of LBS-based Public Facility Accessibility Assessment Model for Coldland Urban Environment

Abstract

The Construction and Application of an LBS-based Public Facility Accessibility Assessment Model for Coldland Urban Environments addresses the pressing need for comprehensive and context-sensitive approaches to assessing urban accessibility in regions facing unique climatic challenges. Leveraging Location-Based Services (LBS) technology and advanced spatial analytics, this study introduces a pioneering model designed to quantify accessibility levels to public facilities and identify areas with limited access in coldland urban environments. Through a systematic methodology encompassing data collection, preprocessing, spatial analysis, model development, implementation, and evaluation, the model provides valuable insights into the spatial distribution of public facilities and the ease of access for residents. Experimental validation demonstrates the model's effectiveness in accurately predicting accessibility metrics, with high correlation coefficients and low root mean square errors observed. The model's predictive capabilities enable scenario planning and impact assessment, empowering planners and policymakers to prioritize interventions and allocate resources effectively. However, limitations such as data quality dependencies and context-specific validations are acknowledged, suggesting avenues for future research. Overall, the study contributes to the advancement of urban planning research by offering a data-driven approach to enhancing accessibility in coldland urban environments, ultimately fostering more inclusive, resilient, and sustainable cities.