基于线性回归分析的网约车需求量影响因素研究

A study of the influencing factors of the demand for network vehicles based on linear regression analysis

随着互联网技术的不断进步和居民出行质量需求的不断提高,同时为了响应国家对绿色交通的号召,网约车行业应运而生。作为一种出行方式,网约车具有方便快捷、全天候、低成本、范围广等优点,但仍存在诸多问题使其未得到充分利用。基于大数据和问卷调查数据,以客观条件和用户体验作为影响因素,建立网约车需求量的多元线性回归模型,并应用Eviews软件对模型进行检验,通过求解得到修正后的网约车需求模型。最后,进行了影响因素重要性分析并据此提出相应的运营策略与建议。

With the continuous progress of Internet technology and the continuous improvement of residents'travel quality demand,at the same time,in response to the national call for green transportation,online car-hailing industry came into being.As a way of travel,online car-hailing has the advantages of convenience,all-weather,low cost and wide range,but there are still many problems that make it underutilized.Based on the big data and questionnaire survey data,taking objective conditions and customer experience as the influencing factors,the multiple linear regression model of online car-hailing demand was established,and the Eviews software was applied to test the model,and the revised online car-hailing demand model was obtained by solving.Finally,the importance of influencing factors are analyzed and the corresponding operational strategies and suggestions are put forward.