Search

The analysis of the spatial connection and structural characteristics evolution of the railway passenger transport network in Chengdu-Chongqing Economic Circle is of great significance to the future network construction and layout optimization. This paper constructs the railway passenger transport network of Chengdu-Chongqing Economic Circle based on the 46 863 617 railway passenger transport data, and uses GIS spatial analysis and social network analysis methods to analyze the space-time evolution of railway passenger transport links, the evolution of structure characteristics and the impact of network structure on economy and population in continuous time series. The results show that the polarization of railway passenger transport links in Chengdu Chongqing Economic Circle is obvious, and the passenger transport flow is mainly concentrated in Chengdu, followed by Mianyang, the main districts of Chongqing and Deyang, and other cities account for less than 20% of the passenger transport flow. The density of railway passenger transport network in Chengdu-Chongqing Economic Circle is increasing year by year, but it is still at a low level. The railway passenger transport network has a low average path length and a high average clustering coefficient, and it is characterized by a small world. The degree centrality and betweenness centrality of Chengdu and the main districts of Chongqing are far more than those of other cities. The accessibility of railway passenger transport in Chengdu-Chongqing Economic Circle is largely due to the intermediary role of Chengdu and the main districts of Chongqing. There is no railway passenger transport connection between most cities. The degree centrality, proximity centrality and intermediate centrality have positive effects on GDP, and pass the 1% significance level test. The degree centrality and intermediate centrality have negative impacts on the population, and pass the significance level tests of 5% and 10% respectively. Cities in the central position are not conducive to the permanent residence of the population. [ABSTRACT FROM AUTHOR]

Copyright of Railway Standard Design is the property of Railway Standard Design Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the online assessment of the health status of metro ZDJ9 switch machines, a health status assessment method of metro switch machines based on real-time monitoring data and variable weight fuzzy comprehensive evaluation is proposed. Firstly, considering the electrical and mechanical characteristics and the external environment of the ZDJ9 switch machine during operation, a hierarchical evaluation index system for health status is established. Secondly, the constant weight of the switch machine evaluation index is determined based on the AHP and the weight is modified according to the relative deterioration degree of the index monitoring data based on the variable weight theory. Finally, the health status is divided into 4 levels, and the membership degree of the index monitoring data to each health level is calculated by the established membership function, and then a hierarchical evaluation model of the switch machine health status based on fuzzy comprehensive evaluation is constructed. Taking the monitoring data of the switch machine of a certain line of Chengdu Metro as an example, the method is verified and compared with the constant weight evaluation method. The results show that, for the serious deterioration of the indicators, the evaluation results of the constant weight method show that the switch machine is still in a "healthy" state, while the evaluation results of the method in this paper are more sensitive to the changes of the index data, and the evaluation result of the health state is "severe", which accords with the actual health condition and can provide the theoretical basis for condition-based maintenance. [ABSTRACT FROM AUTHOR]

Copyright of Railway Standard Design is the property of Railway Standard Design Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)