Research on the Evaluation and Optimization of High-density TOD Station Area Three-dimensional Pedestrian Environment Quality Based on Visual Stated Preference Choice Method
Abstract：This paper aims to evaluate and optimize the quality of the three-dimensional pedestrian environment within high-density Transit-Oriented Development (TOD) station areas from a human-centric perspective. By employing the Visual Stated Preference Choice Method, this study quantitatively analyzes the weights of elements in high-density complex environments and measures spatial quality. The study refines the visualization technique by distilling key elements from a human perspective and employs a modular and abstract approach to design the Stated Preference (SP) questionnaire. Based on the choice preferences from the questionnaire, the study calculates the weights of these elements through the application of discrete choice models and the Analytic Hierarchy Process, thereby correlating them with quality measurements. With the Lujiazui Metro Station in Shanghai serving as a case study, the paper demonstrates the entire process from the current situation quantitative evaluation to the proposal of optimization plans using a suite of tools. The research provides strategic recommendations for constructing a humanized and refined pedestrian environment in station areas and offers theoretical support and practical experience for spatial quality optimization.
于瀚婷，郭雨寒，李燕，叶宇*. 基于可视化陈述性选择偏好法的高密度TOD站域立体步行环境品质评价与优化研究[J]. 新建筑, 2024, 42(6): 11-17.
YU Hanting, GUO Yuhan, LI Yan, YE Yu. Research on the Evaluation and Optimization of High-density TOD Station Area Three-dimensional Pedestrian Environment Quality Based on Visual Stated Preference Choice Method. New Architecture, 2024, 42(6): 11-17.
版权所有 © 2017 新建筑杂志社