基于KLP的城市轨道交通车站照度选择

Illuminance Choice for Urban Rail Transit Station Based on KLP Method

综合考虑城市轨道交通车站功能区域划分和客流需求特征,利用非集计型模型价格敏感度测定法(KLP)对不同区域、不同行为的工作人员与乘客的心理照度需求进行了分类调查和测试,并在对测试数据进行回归分析的基础上,求得各类照明度的意识阻抗界限值和可接受调节区间.通过对某车站照度优化前后的能耗计算分析表明,提出的照度动态调节方法,可以达到节约能耗和以人为本设计的双重目的.

Considering divisions of functional areas and demand characteristics of passenges in urban rail transit station,illuminance requirements for staffs and passengers in different areas and with different behaviors were classified and surveyed based on KLP method.The passengers＇ psychology resistance and acceptable adjustment intervals for different illuminances were calculated by regression analysis.The energy consumption calculation results before and after optimizaton for a certain station show that this dynamic adjustment for illuminance can obtain a dual-goal of energy-saving and people-oriented design.