Discovering the evolution of Beijing Rail Network in fifty years
| Autor: | Zijia Wang, Zhi-gang Yang, Liping Huang, Jing-qi Li |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
050210 logistics & transportation
Urban rail transit Computer science 05 social sciences Statistical and Nonlinear Physics Rail network Condensed Matter Physics Pearson product-moment correlation coefficient Transport engineering symbols.namesake Beijing 0502 economics and business Transit network symbols 050203 business & management |
| Zdroj: | Modern Physics Letters B. 34:2050212 |
| ISSN: | 1793-6640 0217-9849 |
| DOI: | 10.1142/s0217984920502127 |
| Popis: | Urban rail transit (URT) system plays a significant role in daily commuting. The main features of URT could be abstracted into two kinds of networks, topological network and transit network. The correlation between topological network and transit network could represent the service level of transportation which is also a main focus to some extent. In this study, static analysis based on one year or single analysis based on one aspect are abundant, the main reason of which is the deficiency of the consistent demand data. In this regard, a comprehensive analysis of the evolution and their correlation of the two network are carried out in this work. We first revisit the topological evolution of rail network on the basis of URT network statistic indicators with a fifty-year time span. Then, based on the traditional node-place model, a correctional node-place model between demand spatial distribution and closeness centrality is established. Pearson correlation coefficient is also employed for a precise analysis. Finally, the application of the model and the corresponding analysis on Beijing Subway System (BSS) examine and evaluate the development level and service level of URT system in Beijing, and some solid evidence for relative decision-making is provided. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|