文章编号： 1672-5328（2017）03-0074-08

吴娇蓉，朱启政，林子旸
(同济大学道路与交通工程教育部重点实验室，上海201804)

摘要： 为有效评估停车收费政策在不同类型城市综合体中产生的效果差异，基于辐射范围、居民出 行距离及公共交通服务水平三项特征指标，利用K-Means聚类算法将城市综合体分成市域型和区域 型两类。与区域型综合体相比，市域型综合体辐射范围更广、所吸引的人群活动出行距离更长、公 共交通服务水平更具竞争力。构建城市综合体居民行为选择模型，利用RP/SP 融合数据标定模型参 数，以消除意愿调查产生的偏差。该模型综合考虑停车收费政策和公共交通服务水平的关联性，能 有效分析停车收费价格上涨幅度和公共交通服务水平改善对市域型和区域型城市综合体居民方式选 择行为影响的贡献程度，为区域差别化停车收费政策制定提供参考依据。

关键词： 城市综合体；市域型；区域型；停车收费调整；政策预评估

中图分类号： U491.1+2

文献标识码：A

Pre-Evaluation of Parking Charge Policy Based on the Classification of Urban Complex

Wu Jiaorong, Zhu Qizheng, Lin Ziyang
(Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China)

Abstract： In order to evaluate the effect of parking charge policy in different types of urban complex, this paper categorizes the surveyed urban complexes into two types: metropolitan and regional, based on impact range, travel distance, and level of service of public transit using K-Means clustering algorithm. Compared with regional complex, metropolitan complexes have larger impact range, longer travel distance and higher level of service of public transit. This paper develops a traveler behavior choice model for urban complex, using SP/RP survey data for model calibration so as to eliminate the deviations caused by survey bias. Considering the relationship between parking charge policy and level of service of public transit, the model can effectively describe the contributions of increasing parking fee and improving level of service of public transit to travel choice behavior. The findings are expected to be reference of differentiating parking charge policy by areas.

Keywords： urban complex; metropolitan; regional; parking charge policy; pre-evaluation

吴娇蓉.pdf