基于四网融合的既有铁路市域化运营改造与发展研究——以西户铁路为例
Reconstruction and Development of Existing Railways to Operate Suburban Railways under the"Integration of the Four Networks":A Case Study in Xi'an-Huyi Railway
姜彦璘 1卢剑鸿 1李逍 1刘志鹏 2张文韬1
作者信息
- 1. 西安市轨道交通集团有限公司运营分公司,西安 710016
- 2. 成都市温江区规划和自然资源局,成都 611130
- 折叠
摘要
针对四网融合背景下既有铁路市域化运营改造的相关问题,以西户铁路为例,研究既有铁路市域化运营改造的新思路与新模式.首先结合市域铁路的功能定位,在梳理既有铁路开行市域列车建设模式和运营特点的基础上,提出现阶段利用既有铁路开行市域列车存在技术标准不完善、线网融合程度低、客流强度不高、运营亏损严重等问题;然后以西户铁路开行市域列车为例进行研究,分析运输组织模式、客流特征、交通接驳方式等内容,深入探讨单线市域铁路客货混跑模式的适用性;最后论述市域铁路高质量发展的优化策略,提出统筹前期规划、优化交通衔接、提升运营效率、加快用地开发、打破管理壁垒等建议方案,为后续既有铁路改造提升提供参考.
Abstract
In response to the relevant issues of urban operation transformation of existing railways under the background of"four network integration,"this paper investigates new ideas and models for urban operation transformation of existing railways,taking the Xi'an-Huyi railway transformation as an example.First,based on the function of urban railways,this study assessed the construction models and operational characteristics of existing railways for operating urban trains and identified current problems,such as incomplete technical standards,a low degree of network integration,a low passenger flow intensity,and significant operational losses.Second,taking the operation of urban trains on the Xi'an-Huyi railway as an example,this study analyzed the transportation organization mode,passenger flow characteristics,and transportation connection methods and explored the applicability of the mixed passenger and freight modes of single-track urban railways.Finally,this paper proposes optimization strategies for the high-quality development of urban railways,including coordinating preliminary planning,optimizing transportation connections,improving operational efficiency,accelerating land development,and overcoming management barriers.These suggestions can provide a reference for subsequent renovation and upgrading of existing railways.
关键词
四网融合/既有铁路改造/市域铁路/运营管理模式Key words
Four-network integration/existing railway renovation/urban railway/operation management model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据