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随着经济的发展,越来越多的市民选择出租车作为出行的交通工具,“打车难”问题也逐渐成为社会焦点问题。在传统出租车行业中,乘客和出租车之间存在严重的信息不对称,使得传统出租车行业的发展较为缓慢且存在资源配置效率低下的问题。近年来兴起的“互联网+传统行业”的发展模式在一定程度上解决了传统行业的发展弊端。通过综合评价分析模型和量化指标来分析不同时空出租车资源合理配置程度。从宏观角度,我们在价格一定的前提下分析出租车市场的供求关系,收集影响出租车供给和需求的指标并选取合适的时间段和地域,建立综合评价分析模型得到不同时空出租车的指标得分并进行排序。从微观角度,可以利用出租车GPS记录的数据分析位于不同经纬度的一天中高峰期与非高峰期出租车空载率的变化,从而反映供求匹配度。
With the development of economy, more and more citizens choose taxis as the means of transport for travel, and the problem of “difficult taxi ridership” has gradually become a social issue. In the traditional taxi industry, there is serious information asymmetry between passengers and taxis, which makes the traditional taxi industry develop more slowly and inefficient allocation of resources. In recent years, the rise of the “Internet + traditional industries,” the development model to a certain extent, solve the drawbacks of the traditional industries. Through the comprehensive evaluation model and quantitative indicators to analyze the different time and space taxi reasonable allocation of resources. From a macro perspective, we analyze the supply and demand of the taxi market under the condition of a certain price, collect the indexes that affect the supply and demand of the taxi and select the appropriate time period and region, and establish the comprehensive evaluation model to get the index scores of different time-space taxis And sort. From the microscopic point of view, the data of taxi GPS records can be used to analyze the changes of the no-load rates of taxis in different daytime and mid-day periods of different latitudes and longitudes to reflect the match between supply and demand.