As the number of motor vehicles has sharply increased,bringing convenience to daily life,parking resources have become increasingly scarce.This scarcity has led to issues such as congestion in parking lots and ex-tended cruising times for parking.Parking space recommendation and guidance can help reduce parking time and allocate parking resources more effectively.Given the diverse attributes of parking spaces within parking lots,users often find it challenging to meet their ideal parking requirements.This paper comprehensively analyzes the impact of various parking space attributes on user preferences,identifies the main factors users consider when selecting parking spaces,and proposes a comprehensive evaluation method for multi-attribute decision-making in parking space recommendations.The goal is to enhance the user parking experience,enabling users to quickly find ideal parking spaces that meet their needs.By implementing accurate decision-making allocations,this method can re-duce users'cruising time for parking and alleviate congestion within parking lots.Using the underground parking lot of the"Kaiming Tongxin City"shopping mall in Bijie as a case study,the paper tests the rationality and opera-bility of this recommendation method.It also compares the accuracy of the parking space recommendation model u-sing relative deviation values for validation.The results indicate that this model can accurately reflect user prefer-ences and objective facts,providing significant reference value for the construction of parking guidance systems.
关键词
城市交通/车位推荐/用户偏好/层次分析—熵权法
Key words
urban transportation/parking space recommendation/AHP-entropy method/user preferences
维普
万方数据