Open AccessHigh-Speed Rail Express Business Forecast Based on Improved Logit Model for Analyzing the Market Prospect of High-Speed Rail Express Business in Hub Cities
Author(s) -
Xiaomeng Zhang,
Qi Zhao,
Dawei Sun,
Hanlin Gao
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/4/042067
Subject(s) - market share , china , high speed train , transport engineering , business , industrial organization , market size , computer science , marketing , engineering , commerce , geography , archaeology
The mileage of China’s high-speed railway network has grown rapidly, and the total amount of express delivery nationwide has also increased rapidly. Firstly, the GM (1, 1) model is used to predict the express market demand of high-speed railway hub cities in 2025; then the share-sharing model is constructed to calculate the market share of high-speed rail transport using MATLAB software to predict the market demand of high-speed rail express; and finally based on forecast data. Analyze the market prospects and prospects of the high-speed rail express business in hub cities.