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在我国,打车难问题一直是社会上的难题之一。随着“互联网+”时代的来临以及打车软件的兴起,这一问题再次受到社会公众的普遍关注。本文在借鉴学习前人对于不同时空的传统形式的打车难问题研究方法及成果基础上,结合互联网时代打车软件对于出租车行业的影响进行调研分析。在进行数据分析的同时,创新性地构建了在打车软件影响下的出租车匹配度量化函数。首先收集了中国15个城市各时段的万人拥有量、满载率、有效里程数以及打车软件使用率等数据,利用因子分析法建立模型,得出了不同地区不同时间段的打车难问题影响因素,结合计算机编程计算,以评分方式定量地对出租车匹配度进行分析评价。对于进一步改进补贴措施,提高出租车匹配度,缓解打车难问题提出了建议提供了数据支持。
In our country, it is always one of the difficult problems in the community to take a taxi. With the advent of “Internet + ” and the rise of taxi software, this issue has once again been widely publicized. Based on the research methods and achievements of learning predecessors’ hard-hit taxiing problems in different traditional ways of the time and space, this dissertation investigates and analyzes the impact of taxi software in the internet age on the taxi industry. Simultaneously with the data analysis, a quantitative function of taxi matching degree under the influence of taxi software is creatively constructed. First of all, this paper collects the data of ownership, full load rate, effective mileage and taxi usage rate of each city in 15 cities in China, and establishes the model by using factor analysis method to get the influencing factors of taxiing difficulty in different time zones , Combined with the computer programming to calculate the score quantitatively on taxi matching degree analysis and evaluation. It provided data support for further improving the subsidy measures, improving taxi matching and easing taxiing problems.