参考文献/References:
[1] 刘伟. 多层次轨道交通枢纽中地铁车站客运能力仿真评估方法[J]. 城市轨道交通研究, 2022, 25(S1): 37-41.
LIU Wei. Simulation Evaluation of Passenger Transport Capacity of the Metro Station in Multi-level Rail Transit Hub[J]. Urban Mass Transit, 2022, 25(S1): 37-41.
[2] 赵丁. 杭州都市圈城际铁路与城市轨道交通互联互通研究[J]. 铁道勘察, 2023, 49(2): 64-68.
ZHAO Ding. Study on Intercity Railway and Urban Rail Transit Interconnection in Hangzhou Metropolitan Area[J]. Railway Investigation and Surveying, 2023, 49(2): 64-68.
[3] 周予婷, 柳峰, 于剑. 市域(郊)铁路的车站综合开发思路探究[J]. 铁道经济研究, 2022(5): 21-25.
ZHOU Yuting, LIU Feng, YU Jian. Research on the Comprehensive Development of Urban and Suburb Railway Stations[J]. Railway Economics Research, 2022(5): 21-25.
[4] 李晓玉, 苏跃江, 胡郁葱, 等. “四网融合” 背景下粤港澳大湾区轨道交通票价一体化研究[J]. 城市轨道交通研究, 2022, 25(10): 14-19.
LI Xiaoyu, SU Yuejiang, HU Yucong, et al. Integration of Rail Transit Fares in Guangdong-Hong Kong-Macao Greater Bay Area under the Background of “Four-network” Integration[J]. Urban Mass Transit, 2022, 25(10): 14-19.
[5] 光振雄. 多层次轨道交通融合规划促进区域一体化发展[J]. 城市轨道交通研究, 2022, 25(9): 6, 260.
GUANG Zhenxiong. Multi-level Rail Transit Fusion Planning Advancing Regional Integrated Development[J]. Urban Mass Transit, 2022, 25(9): 6, 260.
[6] 赵书毅, 姬燕男, 杨林, 等. 市域(郊)铁路与其他轨道交通融合模式及选择决策方法研究[J]. 都市快轨交通, 2022, 35(4): 106-113, 134.
ZHAO Shuyi, JI Yannan, YANG Lin, et al. Integration Mode and Selection Decision-making Method of Suburban Railway and Other Rail Transit[J]. Urban Rapid Rail Transit, 2022, 35(4): 106-113, 134.
[7] 张宇, 林玉红. 都市圈轨道交通 “四网融合” 发展策略研究[J]. 铁道经济研究, 2022(4): 1-5.
ZHANG Yu, LIN Yuhong. Research on the Development Strategy of “Four Networks Integration” of Different Urban Rail Transits[J]. Railway Economics Research, 2022(4): 1-5.
[8] 侯悦. 上海市市域(郊)铁路多元化运营模式探讨[J]. 城市轨道交通研究, 2022, 25(6): 1-4, 8.
HOU Yue. Discussion on Diversified Operation Mode of Suburban Railway in Shanghai[J]. Urban Mass Transit, 2022, 25(6): 1-4, 8.
[9] 曹震, 熊舒威, 俞天韵. 江苏省都市圈市域(郊)铁路发展对策研究[J]. 现代城市轨道交通, 2022,(5): 1-6.
CAO Zhen, XIONG Shuwei, YU Tianyun. Study on the Development Countermeasures of Urban Region(Suburban)Railway for Metropolises of Jiangsu Province[J]. Modern Urban Transit, 2022,(5): 1-6.
[10] 王修华. 多层次轨道交通互联互通研究[J]. 铁道勘察, 2022, 48(3): 22-25.
WANG Xiuhua. Research on Interconnection of Multi-level Rail Transit[J]. Railway Investigation and Surveying, 2022, 48(3): 22-25.
[11] 何永发, 闫俊俊, 张昱. 利用既有铁路开行市域(郊)列车信号制式研究[J]. 铁道标准设计, 2023, 67(2): 161-165.
HE Yongfa, YAN Junjun, ZHANG Yu. Research on Signal Mode of Running Suburban Trains on Existing Railway[J]. Railway Standard Design, 2023, 67(2): 161-165.
[12] 张昱, 何永发, 武长海. 利用既有铁路开行市域(郊)列车调度集中系统信息交互研究[J]. 铁道标准设计, 2023, 67(2): 166-170.
ZHANG Yu, HE Yongfa, WU Changhai. Research on Information Interaction of Centralized Traffic Control System in Running Suburban Trains by Using Existing Railway[J]. Railway Standard Design, 2023, 67(2): 166-170.
[13] 李明. 对我国市域(郊)铁路的概念及若干问题思考[J]. 铁道工程学报, 2022, 39(3): 107-111.
LI Ming. Thoughts on the Concept and Some Problems of Urban(Suburban)Railway in China[J]. Journal of Railway Engineering Society, 2022, 39(3): 107-111.
[14] 潘昭宇. 多层次轨道交通规划技术体系研究[J]. 铁道标准设计, 2022, 66(5): 7-14.
PAN Zhaoyu. Research on Multi Level Rail Transit Planning Technology System[J]. Railway Standard Design, 2022, 66(5): 7-14.
[15] 肖慎, 胡俊豪, 吴迪. 我国区域多层次轨道交通融合发展研究[J]. 现代交通技术, 2021, 18(4): 82-86.
XIAO Shen, HU Junhao, WU Di. Research on the Integration and Development of Multi-level Rail Transit in China[J]. Modern Transportation Technology, 2021, 18(4): 82-86.
[16] 孔圣丹. 南京都市圈市郊轨道站点站域空间一体化设计策略研究[D]. 南京: 东南大学, 2021.
KONG Shengdan. Research on Spatial Integration Design Strategy of Suburban Rail Stations in Nanjing Metropolitan Area[D]. Nanjing: Southeast University, 2021.
[17] 陶志祥, 陈旭. 长三角市域(郊)铁路发展现状及规划研究[J]. 城市轨道交通, 2021(2): 37-39.
TAO Zhixiang, CHEN Xu. Research on Development Status and Planning of Urban(Suburban)Railways in Yangtze River Delta[J]. China Metros, 2021(2): 37-39.
[18] 潘昭宇, 张天齐, 唐怀海, 等. 多层次轨道交通“四网融合” 体系研究[J]. 交通工程, 2020, 20(4): 1-8.
PAN Zhaoyu, ZHANG Tianqi, TANG Huaihai, et al. Research on the “Four-network Integration” System of Multi-level Rail Transit[J]. Journal of Transportation Engineering, 2020, 20(4): 1-8.
[19] 张玉娇. 中运量城市轨道交通系统及其在我国的适用性研究[D]. 北京: 北京交通大学, 2020.
ZHANG Yujiao. Study on Urban Rail Transit System with Medium Volume and Its Applicability in China[D]. Beijing: Beijing Jiaotong University, 2020.
[20] 郑丽杰. 都市圈轨道交通互联互通实施条件及开行方案研究[D]. 北京: 北京交通大学, 2020.
ZHENG Lijie. Study on Implementation Conditions and Operation Scheme of Rail Transit Interconnection in Metropolitan Area[D]. Beijing: Beijing Jiaotong University, 2020.
[21] 徐攀. 江苏省多层次轨道交通国际对标研究[J]. 现代城市轨道交通, 2020(2): 95-99.
XU Pan. Research on the International Bench-marking of Multilevel Rail Transit in Jiangsu Province[J]. Modern Urban Transit, 2020(2): 95-99.
[22] 王家乐. 多层次多制式轨道交通要点探究[J]. 铁道标准设计, 2019, 63(5): 31-36.
WANG Jiale. Discussion on Key Points of Multi-level and Multi-standard Rail Transit[J]. Railway Standard Design, 2019, 63(5): 31-36.
[23] 张凌翔. 城市轨道交通运营风险分析与评价研究[D]. 南京: 东南大学, 2018.
ZHANG Lingxiang. Risk Analysis and Evaluation of Urban Rail Transit Operation[D]. Nanjing: Southeast University, 2018.
[24] 杨珂. 都市圈多层次轨道交通系统规划研究[D]. 北京: 北京交通大学, 2017.
YANG Ke. Study on the Planning of Multi-level Rail Transit System in Metropolitan Area[D]. Beijing: Beijing Jiaotong University, 2017.
[25] 吴小萍. 可持续发展战略指导下的轨道交通规划与评价方法研究[D]. 长沙: 中南大学, 2003.
WU Xiaoping. Research on Planning and Evaluation method of Rail Transit under the Guidance of Sustainable Development Strategy[D]. Changsha: Central South University, 2003.
[26] 任冲, 胡晓丹. 重庆都市圈轨道交通网络化规划: 市域(郊)铁路发展战略研究[J]. 高速铁路技术, 2023, 14(6): 68-71.
REN Chong, HU Xiaodan. Rail Transit Network Planning of Chongqing Metropolitan Area—A Study on the Development Strategy of Suburban Railways[J]. High Speed Railway Technology, 2023, 14(6): 68-71.
[27] 林建平. 铁路GSM-R系统国际互联互通技术方案研究[J]. 高速铁路技术, 2023, 14(3): 6-10.
LIN Jianping. A Study on International Interoperability Technical Scheme of Railway GSM-R System[J]. High Speed Railway Technology, 2023, 14(3): 6-10.
[28] 李剑飞. 基于深度学习的轨道交通客流检测方法研究[D]. 南昌: 华东交通大学, 2021.
LI Jianfei. Research on Passenger Flow Detection Method of Rail Transit based on Deep Learning[D]. Nanchang: East China Jiaotong University, 2021.