基于大数据的出租车电池交换供需关系研究——以北京市为例

Q1 Social Sciences The Journal of Men's Studies Pub Date : 2021-05-07 DOI:10.5539/JMS.V11N1P177
Zhen Gao, Jing Wang, Wenrui Ren
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引用次数: 0

摘要

电力交换模式作为一种高效的新能源汽车供能方式,在租赁领域得到了广泛的应用。电力供需关系分析互换。特别是分区域的定量空间分析,对于优化换电站的空间布局、优化出租车运营、提高换电站效率具有重要意义。因此,本文分析了出租车的十种状态与相应的电力交换之间的相关性。本文针对现有电力交换供需分析方法的局限性,利用实时出租车运行、接单模式、换站运行等大数据进行分析。根据两者之间的相关性,建立了一种基于订单接收地点和电力交换供需匹配方法确定电力交换需求的计算方法。本研究在实证上验证了该方法的科学性和可行性的同时,也保证了该方法具有较大的灵活性,能够适应更复杂的社会场景。大数据分析表明,根据出租车接到订单的地点来确定需求的空间分布要合理和实用得多。因此,本研究对指导换乘站的选址和布局具有重要的指导作用。
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Supply and Demand Relationship of Taxi Battery Exchange Based on Big Data: A Case Study of Beijing, China
The power exchange mode is widely applied in the rental field as an efficient energy supply method for new energy vehicles. The power supply-demand relationship analysis swaps. In particular, the quantitative spatial analysis of sub-regions is of great significance for optimizing the spatial layout of power swapping stations, better operation of taxis, and more efficient power swapping stations. Therefore, this paper analyzes the correlation between the ten states of taxis and the corresponding power exchange. The present analysis targets the limitations in the existing methods to analyze the power exchange supply and demand and utilizing the big data pertaining to real-time taxi operation, order-taking mode, and station-swapping operation. As per the correlations, a calculation method is established to determine the power exchange demand based on the location where the orders are received and the matching method of the power exchange supply and demand. Besides verifying the scientific nature and feasibility of the method empirically, this study also ensured its great flexibility, which allows it to adapt to more complicated social scenarios. The big data analysis indicates that determining the spatial distribution of demand based on the location from where the taxi orders are received is far more rational and practical. Thus, this study has a vital role in guiding the location and layout of interchange stations.
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来源期刊
The Journal of Men's Studies
The Journal of Men's Studies Social Sciences-Cultural Studies
CiteScore
3.00
自引率
0.00%
发文量
26
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