Evaluating the Rail-Based Multimodal Freight Transportation after HSR Entry in Yangtze River Delta Economics Zone

Table 5

The description of original data for every indicator.

Indicators	Original data description
Public rail stations and railway links (A11)	The number of railway stations and links for public freight transport in the evaluated network
Exclusive railway (A12)	The number of railway links of transporting freight for exclusive companies in the evaluated network
Port shoreline (A13)	The length of the berthing line [30] for the evaluated ports
Highway density (A14)	The highway density which equals the total length of a highway divided by the acreage of the area for the evaluated regions (Shanghai, Zhejiang, Jiangsu, Anhui)
Public rail freight volume (A21)	The corresponding freight volume of A11 to A14 in 2019
Exclusive rail freight volume (A22)
Port throughput (A23)
Highway freight volume (A24)
Rail-water transport volume (B11)	The multimodal transport volume in 2019
Water-water transport volume (B21)
Road-water transport volume (B31)
Road-rail transport volume (B41)
Multimodal transport delay (C11)	How is the performance of multimodal transport? Do you satisfied with the service of the multimodal transport considering the possible delay?
Multimodal transfer efficiency (C12)	How is the transferring efficiency in the multimodal stations or terminals?
Revenue of multimodal transport (C13)	Will you choose multimodal transport instead of your former transport choice? Is the cost of multimodal transport competitive?
Informatization (C21)	How about the operations system of multimodal transport when you try to use it?
Availability (C22)	Is it convenient for you to get the service for multimodal transport?
Ratio of accidents (C31)	No railway freight accident recorded in 2019 for the evaluated stations and links
Average compensation for every accident (C32)
Improvement of market share (D11)	The freight volume improvement (2019 compared with 2018) for multimodal transport in the evaluated network
Unit energy consumption (D21)	The variation of energy consumption for unit freight transport (total consumption divide total freight volume)
Policy implication (D31)	How about the impacts of governmental policy implication for multimodal transport?

The target scores for the qualitative indicators are based on the answers to the following questions by invited experts from 0 to 100.