Academic Journal

Evaluating the Market Share of China Railway Express Lines – A Data-driven Approach

التفاصيل البيبلوغرافية
العنوان: Evaluating the Market Share of China Railway Express Lines – A Data-driven Approach
المؤلفون: Yadi Wang, Xiaochun Lu, Yang Wang
المصدر: Promet (Zagreb), Vol 32, Iss 1, Pp 91-101 (2020)
بيانات النشر: University of Zagreb, Faculty of Transport and Traffic Sciences, 2020.
سنة النشر: 2020
المجموعة: LCC:Transportation engineering
مصطلحات موضوعية: china railway express, economic choice, international transit hub, Transportation engineering, TA1001-1280
الوصف: Fuelled by the Belt and Road Initiative, Eurasia railway transport has gained rapid traction. However, China Railway Express is in the development period, information about China Railway Express lines is in chaos, and it is difficult to appraise the market situation. This paper focuses on providing an approach to estimate the market share of every China Railway Express line. In this paper, the crawled data from the website are applied to estimate the customer demands for China Railway Express services in different areas of China. The government subsidy is a factor that cannot be ignored, but its level is unclear. Thus, a dummy regression model was established to estimate the subsidy. The regression result is in line with the data released by the Guangdong Provincial Government in 2017. To identify customers’ preferred choices for particular lines, a multi-objective optimization model has been built. With the crawled demands data and this optimization model, the current and future market share of China Railway Express can be assessed. If the subsidy is cancelled, some China Railway Express lines will lose their market, and only three lines have a bright future.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 0353-5320
1848-4069
Relation: https://traffic.fpz.hr/index.php/PROMTT/article/view/3302; https://doaj.org/toc/0353-5320; https://doaj.org/toc/1848-4069
DOI: 10.7307/ptt.v32i1.3302
URL الوصول: https://doaj.org/article/a7982da29bc747f7bd8af7cbb8d7fa27
رقم الانضمام: edsdoj.7982da29bc747f7bd8af7cbb8d7fa27
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:03535320
18484069
DOI:10.7307/ptt.v32i1.3302