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1. Location selection of fresh food distribution based on AP clustering algorithm--Beijing Hema Fresh as an example | |||
Bai Yalin,Zhuang Yufeng | |||
Transportation Engineering 18 March 2022 | |||
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Abstract:In recent years, with the rapid development of e-commerce, fresh food e-commerce has also developed rapidly, but traditional fresh food e-commerce has no physical business premises, so its actual cost and loss of commodities are much higher than traditional fresh food e-commerce. Fresh shops and businesses. Under the current high requirements of consumers for the quality of life and high standards of user experience, how to ensure the freshness of fresh food and reduce the cost of delivery has become a difficult problem in the delivery of fresh food to customers. The site selection is carried out, and the following contents are studied:(1)Through the research of the paper, the influencing factors of the site selection are found out, and a system of the site selection influence factors is scientifically constructed by the method of literature research.(2)The initial distribution center location is found out through the AP clustering algorithm, and secondly, the fuzzy comprehensive evaluation is used to select the location of the distribution center according to the demand.(3)Take the physical store of Hema Fresh in Beijing as the research object for analysis to verify the applicability of the location decision. | |||
TO cite this article:Bai Yalin,Zhuang Yufeng. Location selection of fresh food distribution based on AP clustering algorithm--Beijing Hema Fresh as an example[OL].[18 March 2022] http://en.paper.edu.cn/en_releasepaper/content/4757022 |
2. Model of the Parking Demand Prediction for Urban Complex | |||
Wu Zhizhou,Fan Yujie | |||
Transportation Engineering 04 March 2011 | |||
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Abstract:Urban Complex is a new concept of the combination of multiple-function architecture subsystems, including hotel, office, residence and entertainment, etc. Its parking requirements and characteristics are quite different from general city buildings'. In this paper, the traveler behavior characteristics in Urban Complex are analyzed first, and the correlation coefficients matrix among different functional subsystems is built. Then a modified parking generation rate model of the Urban Complex is developed. This model can eliminate the parking repetition in traditional parking generation rate model. The validation result shows that the model has higher accuracy in parking demand prediction. | |||
TO cite this article:Wu Zhizhou,Fan Yujie. Model of the Parking Demand Prediction for Urban Complex[OL].[ 4 March 2011] http://en.paper.edu.cn/en_releasepaper/content/4412172 |
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