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Mario Artuo proposed a new indicator, Economic Mass, to evaluate the relationship between one city’s accessibility to other cities and its size of economy. Zhao Dan, a professor of Department of Urban Planning and Design at Nanking University, proposed an accessibility indicator (Dan). Accessibility indicator is used to show the ease with which activities can be reached from a given location by using a particular transportation system. We focus on the Hong Yong high-speed rail. In order to measure the regional accessibility, a weighted average travel time indicator is used. We need to compute the weighted average of the length of travel time between locations with regard to the major economic activity center along the high-speed rail line. Then take as weights of the Gross domestic product of the destination economic activity center as below:
=
Where:
Ai is the accessibility of location i
Tij is the length of travel time through the network between location i and j
Mj is the gross domestic product (GDP) of the destination j economic activity center
Here, we consider the Ningbo, Shaoxing, and Hangzhou along with the Hang Yong High-Speed Railway.
Another common indicator is Economic Potentials. Its assumption is that there is transparency of information and exchanges in the economy install a general equilibrium state which is characterized by “spatial and temporal efficiency” (IPCC). Daily Accessibility is also a popular indicator to analyze the accessibility impact of high-speed rail system. Unlike Economic Potentials and Daily Accessibility, this model is more suitable in the case of Hang Yong High-Speed Railway for two reasons.
(1) Besides high-speed rail facilities and their spatial location, levels of economic development, particularly gross domestic product, also have an impact on the accessibility. As a result, it is scientific to take GDP into consideration.
(2) The change of accessibility and the degree of transportation convenience can be directly showed by the length of travel time
Two situations are taken into consideration, one is to 2010 (Hang Yong High-Speed Railway did not start commercial operation at that time) and the other situation is to 2020.

Secondary
Data collection
Quantitative data are needed. In order to compute the Accessibility indicator, we need to gather the length of travel time and the gross domestic product of Ningbo, Shaoxing, and Hangzhou along the Hang Yong High-Speed Railway. The information in situation of 2010 can be collected from the local government official websites. US-China Exchange Association provides GDP data of major Chinese cites. This association offers information about Hangzhou. The official website What’s on Ningbo tells about GDP of Ningbo.
As for the situation in 2020, the Official Outline Plan of China’s High-Speed Railway Network can offer relevant information. Geographic information System (GIS) helps us to collect the geographical data. Geographic information System (GIS) is applied in this research in order to map a dense transport dataset of high-speed railways. GIS is a helpful tool that can capture, manage, analyze and display various firms of geographical data (Esri).
As we need to compare the industrial structure in the cities before and after the operation of hi