A data-driven quantitative assessment model for taxi industry: the scope of business ecosystem’s health

European Transport Research Review

Original Paper

Miner Zhong¹  Yunjian Jiang¹  Yong Zhang¹ 

[1] School of Transportation, Southeast University, 210096, Nanjing, Jiangsu, China;

关键词: Taxi industry;    Quantitative analysis;    Business ecosystem;    Health degree;    Combine evaluation;   

DOI  :  10.1007/s12544-017-0241-0

 received in 2016-12-01, accepted in 2017-04-12,  发布年份 2017

来源: Springer

【 摘 要 】

IntroductionThe taxi industry has boomed over the years, both in street-hail and dispatch market. However, few studies focus on comprehensive perspectives, which make decisions such as implementing regulative or incentive policies difficult. As an economic community working in the value-oriented process, the taxi industry requires a holistic performance evaluation to determine how to adapt strategies to survive and grow.MethodsThis paper proposed the concept “Taxi Industry Health degree” based on the theory of Business Ecosystem and the evaluation of its health. A four-layer criteria set is developed from aspects of robustness, productivity and sustainability, and weights are determined through Analytic Hierarchy Process.ResultsA synthetic evaluating model combining Fuzzy Comprehensive Evaluation and Artificial Neural Network is used to maintain the goal of multi-criteria decision-making. With the GPS and Taximeter dataset of taxicabs in the whole taxi industry in Wuxi, the model is applied to empirical studies.ConclusionsThis paper provides sensibility analysis on not only the company’s order volatility, revenue growth and utilization of resources, but also influence on citizen’s welfare, energy consumption and environmental pollution, which enables practical regulations and policies within taxi industry.

【 授权许可】

CC BY   
© The Author(s) 2017

【 图 表 】

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