Evaluation on Sustainable Development of Smart Urban Rail Transit

Objective. The purpose of the current work is to analyze how to employ intelligent technologies, for instance Internet of Things (IoT) and big data to urban rail transit industry, exhibit the effect path of new and high-tech on the intelligent urban rail transit sustainable development and establish an application system for the intelligent urban rail transit industry sustainable development. Methods. This paper concludes the affecting factors of intelligent rail transit (IRT) from three terms of environment, economy, and society, establishes the index system constructed from 14 factors, explores the significance together with dependence of each factor through Fuzzy-Dematel and ISM, and establishes a structure model of hierarchy. Conclusion. The study concludes that the hierarchical structure model includes five levels, and the key to IRT sustainable development is line network planning and intelligent operation. This paper builds the application system of sustainable development of smart urban rail transit, which includes government, enterprises, and users. Contribution. In accordance with IoT, big data, and other integrated systems, this study establishes a theoretical framework to evaluate the IRT sustainable development in the context of intelligent technology. By using the scientific method to study the theoretical framework, this paper exhibits the hierarchical effect way of the IRT sustainable development and develops a sustainable development usage system (SDUS) of IRT which can provide theoretical guidance for model application evaluation.

Automated summary

This study analyzes the impact of intelligent technologies on the sustainable development of urban rail transit and establishes an application system to promote the sustainable development of the intelligent urban rail transit industry. Through the application of fuzzy-DEMATEL and ISM methods, the study concludes the hierarchical structure model of intelligent rail transit sustainable development and applies it to the collaboration among government, enterprises, and users.