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

Abstract

Introduction The 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. Methods This paper proposed the concept BTaxi 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. Results A 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. Conclusions This 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.

Effects of Aging on Taxi Service Performance: A Comparative Study Based on Different Age Groups

“…T bus = T seek + T trip (1) The calculation of the total seeking time (T seek ) is intricate because the total seeking time for different drivers varies. To compute the total seeking time, we systematically examined all intervals between consecutive trips in the dataset.…”

“…Numerous studies have explored how to quantify taxi service performance. In the realm of economics, researchers often employ variables related to income or net income [1,48,49]. These indicators clearly reflect the economic performance of taxi operations and variables related to workload, such as the cumulative distance traveled by taxis [50], and variables related to operational efficiency [51,52] also shed light on the economic characteristics of taxi operations to some extent.…”

“…The taxi industry is recognized as a sector with substantial potential for sustainable development, involving key stakeholders such as policymakers, regulatory agencies, companies, drivers, and customers [1]. Among these roles, drivers are pivotal as direct service providers and major contributors to the overall performance of taxi services.…”

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Health evaluation of EV business ecosystem based on projection pursuit and an improved matter-element extension combined with TOPSIS

“…Additional, Analytic Hierachy Process (AHP) and the Fuzzy Comprehensive Evaluation Method were employed to evaluate Information Technology Business Ecosystem Health in China. A four-layer index set was developed from aspects of robustness, productivity and sustainability to assess the taxi industry ecosystem health by Zhang and Zhong [28]. Though domestic and foreign scholars hold different conceptions and evaluating indicators, these research findings have certainly led to a greater understanding of business ecosystem health and completion of its index system.…”