Evaluation on Sustainable Development of Smart Urban Rail Transit

Table 1

Interfering factor of intelligent rail transit.

	Indicators	Explanation	References
N1	Smart supply chain	The use of intelligent technology for the supply chain transformation, to save the cost of enterprises	Yuan et al. [6]
N2	Smart finance	In the enterprises’ financial management, the application of big data and other technologies to improve work efficiency, in-depth analysis of financial information, and improve data processing utilization	He et al. [25]
N3	Profitability	Use of big data and other technologies to optimize ticket pricing and advertising	Wang and Lo [27]
N4	Intelligent operation	Construction of electronic, digital, automated operation, and management system, can achieve efficient operation and management, reduce operating costs	Love et al. [16]
N5	Coordination of economic development	With the government data, with the rail transit development and urban economic status quo, future planning	Gonzalez et al. [26]
N6	Social satisfaction	Through big data and other technologies to collect consumer experience of rail transit, and targeted to enhance the sense of experience	Celik et al. [27]
N7	Line network planning	Making use of big data to plan station, route planning and the setting of transfer station is helpful to alleviate urban congestion	Wang [28]
N8	Intelligent operation support system	Use technical means to monitor, warn and rescue accidents before, during and after accidents, so as to reduce the hazards of accidents	Ding et al. [10]
N9	Emergency management	Collect passenger flow data for early warning of passenger flow, and prepare plans through learning past cases and daily simulation, so as to quickly analyze and invoke emergencies	Chen et al. [29]
N10	Environmental cost control	The intelligent technology is used to control the environmental cost in the construction stage, and the damage cost is counted and minimized	Li and Yin [30]
N11	Pollution control of intelligent environment	Intelligent technology will be used to monitor the reaction of the possibly affected population and take remedial measures	Song et al. [31]
N12	Proportion of new energy	Environmental effect on the production technology selection in supply chain	Sun et al. [32]
N13	Environmental protection	Using big data to reduce groundwater damage during construction	Yan [33]
N14	Energy efficiency	Through optimizing the train stop time and running time, train speed control, off-peak power control to improve energy utilization	Pan et al. [34]