留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

轨道交通与常规公交交互胁迫关系验证分析

焦柳丹 罗凤莲 吴雅 张羽

焦柳丹, 罗凤莲, 吴雅, 张羽. 轨道交通与常规公交交互胁迫关系验证分析[J]. 交通信息与安全, 2021, 39(6): 126-134. doi: 10.3963/j.jssn.1674-4861.2021.06.015
引用本文: 焦柳丹, 罗凤莲, 吴雅, 张羽. 轨道交通与常规公交交互胁迫关系验证分析[J]. 交通信息与安全, 2021, 39(6): 126-134. doi: 10.3963/j.jssn.1674-4861.2021.06.015
JIAO Liudan, LUO Fenglian, WU Ya, ZHANG Yu. A Validation Study of Interactive Stress Relationship Between Urban Rail and Regular Bus Transportation Systems[J]. Journal of Transport Information and Safety, 2021, 39(6): 126-134. doi: 10.3963/j.jssn.1674-4861.2021.06.015
Citation: JIAO Liudan, LUO Fenglian, WU Ya, ZHANG Yu. A Validation Study of Interactive Stress Relationship Between Urban Rail and Regular Bus Transportation Systems[J]. Journal of Transport Information and Safety, 2021, 39(6): 126-134. doi: 10.3963/j.jssn.1674-4861.2021.06.015

轨道交通与常规公交交互胁迫关系验证分析

doi: 10.3963/j.jssn.1674-4861.2021.06.015
基金项目: 

国家自然科学基金青年项目 71901043

国家自然科学基金青年项目 72004187

详细信息
    通讯作者:

    焦柳丹(1989—),博士,副教授.研究方向:城市轨道交通.E-mail:jld06171@126.com

  • 中图分类号: U491.17

A Validation Study of Interactive Stress Relationship Between Urban Rail and Regular Bus Transportation Systems

  • 摘要: 为了揭示城市轨道交通与常规公交之间的交互胁迫的演化特点, 通过借鉴城市化水平与生态环境之间的交互胁迫理论, 构建轨道交通与常规公交交互胁迫模型, 以我国2009年之前开通运营城市轨道交通的10个城市为样本, 基于轨道交通与常规公交之间的客运总量、线路长度及运营车辆3个维度的历史演化规律分析基础上, 验证轨道交通与常规公交之间交互胁迫关系, 进而对不同城市轨道交通与常规公交演化特点进行分类分析。研究结果表明: ①城市轨道交通与常规公交之间存在交互胁迫关系, 演变轨迹符合双指数曲线。②不同城市的轨道交通与常规公交在3个维度的演变轨迹上存在不均衡性, 客运总量的拐点出现早于运营线路长度和运营车辆数。③根据拐点的出现情况, 将10个城市分为5类, 其中, 重庆的轨道交通与常规公交在客运总量、线路长度及运营车辆3个维度的拐点出现均较晚, 表明重庆的公交发展模式较为协调, 常规公交在轨道交通的胁迫下仍然保持了一定的竞争力。

     

  • 图  1  城市常规公交与轨道交通交互关系双指数曲线

    Figure  1.  Double exponential curve for interactive stress effect between urban bus and rail transport system

    表  1  2009年及2019年城市公共交通发展状况

    Table  1.   Development of urban public transportation of 2009 and 2019

    城市 公共汽(电)车 轨道交通
    客运总量/(万人·次) 线路长度/km 运营车辆/辆 客运总量/(万人·次) 线路长度/km 运营车辆/辆
    2009年 2019年 2009年 2019年 2009年 2019年 2009年 2019年 2009年 2019年 2009年 2019年
    北京 516 517 313 366 18 270 27 632 21 716 23 010 142 268 396 238 228 699 2 014 6 449
    长春 63 897 75 194 899 6 405 4 212 5 087 2 954 23 204 39 118 140 895
    重庆 150 056 257 088 3 896 29 745 8 077 14 276 4 181 104 187 19 328 136 2 130
    大连 96 151 92 212 941 5 492 4 811 5 683 6 885 21 967 87 181 143 628
    广州 242 200 224 090 16 604 24 368 10 715 15 388 67 520 330 994 147 523 722 2 854
    南京 104 178 91 518 3 119 12 018 6 081 8 700 11 353 115 730 22 394 120 1 736
    上海 270 600 208 500 23 033 24 780 16 272 17 899 131 837 388 445 355 705 1 833 5 911
    深圳 213 603 158 973 2 270 21 606 11 928 17 110 13 823 203 216 25 316 162 2 598
    天津 116 425 111 058 11 832 25 526 7 897 12 746 5 271 54 578 71 231 228 1 220
    武汉 165 610 142 954 5 463 9 724 7 241 9 631 1 317 122 373 10 335 48 2 416
    下载: 导出CSV

    表  2  城市常规公交与轨道交通客流量交互胁迫双指数函数方程

    Table  2.   Double exponential function for interactive stress effect on passenger flows of urban bus and rail transport system

    城市 交互胁迫函数关系式 m n b a p R2
    北京 z=0.993 3-0.171 6(10(y-0.824 6)/0.613 5-0.749 8)2 0.993 3 0.171 6 0.824 6 0.613 5 0.749 8 0.927 2
    长春 z=0.026 4-5.830 2 (10(y-0.794 2)/0.278 9-0.630 9)2 0.026 4 5.830 2 0.794 2 0.278 9 0.630 9 0.210 9
    重庆 z=0.457 6-0.975 8(10(y-0.584 3)/0.289 0-1.427 1)2 0.457 6 0.975 8 0.584 3 0.289 0 1.427 1 0.944 4
    大连 z=0.174 0-0.909 0(10(y-0.663 7)/0.433 2-0.213 6)2 0.174 0 0.909 0 0.663 7 0.433 2 0.213 6 0.621 7
    广州 z=0.423 5-0.016 7(10(y-0.679 3)/0.337 9-1.970 4)2 0.423 5 0.016 7 0.679 3 0.337 9 1.970 4 0.767 3
    南京 z=0.104 5-0.032 4(10(y-0.476 3)/0.375 9-0.477 2)2 0.104 5 0.032 4 0.476 3 0.375 9 0.477 2 0.846 1
    上海 z=0.479 3-0.021 4 (10(y-0.751 3)/0.492 2-0.523 9)2 0.479 3 0.021 4 0.751 3 0.492 2 0.523 9 0.950 0
    深圳 z=0.357 7-0.232 3(10(y-0.741 9)/0.540 7-0.231 6)2 0.357 7 0.232 3 0.741 9 0.540 7 0.231 6 0.853 1
    天津 z=0.175 6-1.565 0(10(y-0.633 4)/0.187 0-1.458 0)2 0.175 6 1.565 0 0.633 4 0.187 0 1.458 0 0.803 7
    武汉 z=0.175 6-3.070 9(10(y-0.856 7)/0.156 7-1.040 8)2 0.175 6 3.070 9 0.856 7 0.156 7 1.040 8 0.577 9
    下载: 导出CSV

    表  3  城市常规公交与轨道交通运营线路长度交互胁迫双指数函数方程

    Table  3.   Double exponential function for interactive stress effect on the length of operating lines of urban bus and rail transport system

    城市 交互胁迫函数关系式 m n b a p R2
    北京 z=1.349 0-0.511 5(10(y-1.114 7)/1.234 4-1.513 3)2 1.349 0 0.511 5 1.114 7 1.234 4 1.513 3 0.947 1
    长春 z=1.116 0-1.055 7(10(y-0.647 6)/2.596 7-1.104 1)2 1.116 0 1.055 7 0.647 6 2.596 7 1.104 1 0.592 7
    重庆 z=1.506 0-1.209 7(10(y-0.591 7)/1.513 3-1.211 9)2 1.506 0 1.209 7 0.591 7 1.513 3 1.211 9 0.827 2
    大连 z=0.689 2-0.891 0(10(y-0.768 0)/1.323 4-1.003 1)2 0.689 2 0.891 0 0.768 0 1.323 4 1.003 1 0.753 7
    广州 z=6.349 1-2.382 5(10(y-0.823 2)/14.205 2-1.585 1)2 6.349 1 2.382 5 0.823 2 14.205 2 1.585 1 0.600 1
    南京 z=0.387 3-0.781 2(10(y-0.789 0)/0.557 0-0.910 2)2 0.387 3 0.781 2 0.789 0 0.557 0 0.910 2 0.822 1
    上海 z=0.934 3-0.213 1 (10(y-1.317 0)/1.841 5-0.984 7)2 0.934 3 0.213 1 1.317 0 1.841 5 0.984 7 0.942 2
    深圳 z=0.745 9-1.641 3(10(y-0.738 9)/0.396 4-1.051 1)2 0.745 9 1.641 3 0.738 9 0.396 4 1.051 1 0.751 7
    天津 z=1.592 0-1.469 5(10(y-0.579 9)/1.187 1-1.192 8)2 1.592 0 1.469 5 0.579 9 1.187 1 1.192 8 0.906 3
    武汉 z=0.351 7-0.498 4(10(y-0.935 2)/0.679 1-0.782 7)2 0.351 7 0.498 4 0.935 2 0.679 1 0.782 7 0.824 5
    下载: 导出CSV

    表  4  城市常规公交与轨道交通运营车辆交互胁迫双指数函数方程

    Table  4.   Double exponential function for interactive stress effect on the number of operating vehicles of urban bus and rail transport system

    城市 交互胁迫函数关系式 m n b a p R2
    北京 z=0.887 8-4.965 2(10(y-0.981 9)/0.818 4-1.137 8)2 0.887 8 4.965 2 0.981 9 0.818 4 1.137 8 0.669 3
    长春 z=4.106 2-1.907 1(10(y-0.657 8)/11.448 1-1.468 7)2 4.016 2 1.907 1 0.657 8 11.448 1 1.468 7 0.502 2
    重庆 z=0.484 8-1.466 6(10(y-0.638 4)/0.400 3-1.067 4)2 0.484 8 1.466 6 0.638 4 0.400 3 1.067 4 0.884 3
    大连 z=0.084 6-0.768 1(10(y-0.762 3)/0.389 9-0.718 6)2 0.084 6 0.768 1 0.762 3 0.389 9 0.718 6 0.773 5
    广州 z=0.534 0-0.877 7(10(y-0.787 2)/0.579 5-0.877 0)2 0.534 0 0.877 7 0.787 2 0.579 5 0.877 0 0.980 6
    南京 z=0.225 5-1.254 5(10(y-0.654 3)/0.410 7-0.906 3)2 0.225 5 1.254 5 0.654 3 0.410 7 0.906 3 0.922 4
    上海 z=0.746 2-1.515 2(10(y-2.408 9)/0.341 9-0.364 2)2 0.746 2 1.515 2 2.408 9 0.341 9 0.364 2 0.563 9
    深圳 z=0.603 4-0.935 5(10(y-0.737 0)/0.512 4-0.864 5)2 0.603 4 0.935 5 0.737 0 0.512 4 0.864 5 0.914 1
    天津 z=0.432 1-2.724 1(10(y-0.602 0)/0.376 7-1.032 1)2 0.432 1 2.724 1 0.602 0 0.376 7 1.032 1 0.835 6
    武汉 z=0.258 4-0.694 1(10(y-0.785 1)/0.457 6-0.774 7)2 0.258 4 0.694 1 0.785 1 0.457 6 0.774 7 0.976 9
    下载: 导出CSV

    表  5  拐点分类情况

    Table  5.   Classification of inflection points

    分类情况 城市 拐点较早 拐点较晚 未有拐点
    北京 客运总量 运营车辆 线路长度
    南京 客运总量 运营车辆 线路长度
    天津 客运总量 运营车辆 线路长度
    大连 客运总量 线路长度、运营车辆
    广州 客运总量 线路长度、运营车辆
    上海 客运总量 线路长度、运营车辆
    武汉 客运总量 线路长度、运营车辆
    长春 客运总量 线路长度、运营车辆
    深圳 客运总量 线路长度 运营车辆
    重庆 客运总量、线路长度、运营车辆
    下载: 导出CSV
  • [1] 四兵锋, 杨小宝, 高亮, 等. 基于出行需求的城市多模式交通配流模型[J]. 中国公路学报, 2010, 23(6): 85-91. doi: 10.3969/j.issn.1001-7372.2010.06.013

    SI Bingfeng, YANG Xiaobao, GAO Liang, et al. Urban multi-mode traffic allocation model based on travel demand[J]. China Journal of Highway and Transport, 2010, 23(6): 85-91. (in Chinese) doi: 10.3969/j.issn.1001-7372.2010.06.013
    [2] 唐旭南, 张秀媛, 孙浩. 城市常规公交子系统能耗模型研究[J]. 交通运输系统工程与信息, 2012, 12(1): 160-165. doi: 10.3969/j.issn.1009-6744.2012.01.024

    TANG Xunan, ZHANG Xiuyuan, SUN Hao. Research on energy consumption model of urban conventional public transport subsystem[J]. Journal of Transportation Systems Engineering and Information Technology, 2012, 12(1): 160-165. (in Chinese) doi: 10.3969/j.issn.1009-6744.2012.01.024
    [3] 李橘云. 基于轨道交通的常规公交线路优化对策研究[J]. 都市快轨交通, 2009, 22(3): 10-13. doi: 10.3969/j.issn.1672-6073.2009.03.003

    LI Ju yun. Research on optimization countermeasures of conventional bus routes based on rail transit[J]. Urban Rapid Rail Transit, 2009, 22(3): 10-13. (in Chinese) doi: 10.3969/j.issn.1672-6073.2009.03.003
    [4] 王振报, 朱跃华, 陈艳艳. 配合大容量快速运输的实用常规公交线网规划方法[J]. 北京工业大学学报, 2010, 36(6): 785-789. https://www.cnki.com.cn/Article/CJFDTOTAL-BJGD201006012.htm

    WANG Zhenbao, ZHU Yuehua, CHEN Yanyan. Practical conventional bus network planning method for large-capacity rapid transportation[J]. Journal of Beijing University of Technology, 2010, 36(6): 785-789. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-BJGD201006012.htm
    [5] 顾岷. 我国城市轨道交通发展现状与展望[J]. 中国铁路, 2011, 592(10): 53-56. doi: 10.3969/j.issn.1001-683X.2011.10.015

    GU Min. The status quo and prospects of my country's urban rail transit development[J]. China Railway, 2011, 592(10): 53-56. (in Chinese) doi: 10.3969/j.issn.1001-683X.2011.10.015
    [6] 赵学彧, 杨家其, 彭亚美. 城市轨道交通与地面公交竞合关系演化机制[J]. 吉林大学学报(工学版), 2017, 47(3): 756-764. https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY201703010.htm

    ZHAO Xueyu, YANG Jiaqi, PENG Yamei. The evolution mechanism of the competition and cooperation between urban rail transit and ground public transportation[J]. Journal of Jilin University(Engineering and Technology Edition), 2017, 47(3): 756-764. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY201703010.htm
    [7] 柳伍生, 贺剑, 李甜甜, 等. 出行策略与行程时间不确定下的公交客流分配方法[J]. 交通运输系统工程与信息, 2018, 18(6): 117-124+139. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201806017.htm

    LIU Wusheng, HE Jian, LI Tiantian, et al. Bus passenger flow allocation method under uncertainty of travel strategy and travel time[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(6): 117+124, 139. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201806017.htm
    [8] 罗艺, 钱大琳. 公交专用道施划的公交客流影响范围[J]. 哈尔滨工业大学学报, 2019, 51(3): 114-120. https://www.cnki.com.cn/Article/CJFDTOTAL-HEBX201903017.htm

    LUO Yi, QIAN Dalin. The influence scope of public bus passenger flow planned by bus lane[J]. Journal of Harbin Institute of Technology, 2019, 51(3): 114-120. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HEBX201903017.htm
    [9] 马超群, 张爽, 陈权, 等. 客流特征视角下的轨道交通网络特征及其脆弱性[J]. 交通运输工程学报, 2020, 20(5): 208-216. https://www.cnki.com.cn/Article/CJFDTOTAL-JYGC202005021.htm

    MA Chaoqun, ZHANG Shuang, CHEN Quan, et al. Rail transit network characteristics and vulnerability from the perspective of passenger flow characteristics[J]. Journal of Traffic and Transportation Engineering, 2020, 20(5): 208-216. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JYGC202005021.htm
    [10] 吴祥国, 张建嵩, 胡义良, 等. 重庆市轨道交通客流时间特性及影响因素探讨[J]. 铁道运输与经济, 2020, 42(11): 117-122. https://www.cnki.com.cn/Article/CJFDTOTAL-TDYS202011020.htm

    WU Xiangguo, ZHANG Jiansong, HU Yiliang, et al. Discussion on time characteristics and influencing factors of passenger flow in Chongqing rail transit[J]. Railway Transport and Economy, 2020, 42(11): 117-122. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TDYS202011020.htm
    [11] SCHERER M. Is light rail more attractive to users than bus transit arguments based on cognition and rational choice[J]. Transportation Research Record, 2010, (2144): 11-19. doi: 10.3141/2144-02
    [12] 王佳, 胡列格. 城市轨道交通站点对常规公交客流的吸引范围[J]. 系统工程, 2010, 28(1): 14-18. https://www.cnki.com.cn/Article/CJFDTOTAL-GCXT201001004.htm

    WANG Jia, HU Liege. Urban rail transport attracted range[J]. Systems Engineering, 2010, 28(1): 14-18. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GCXT201001004.htm
    [13] HSU L R. Cost estimating model for mode choice between light rail and bus rapid transit systems[J]. Journal of Transportation Engineering, 2013, 139(1): 20-29. doi: 10.1061/(ASCE)TE.1943-5436.0000466
    [14] 张杰林, 李铁柱. 基于竞争模型的轨道交通与常规公交共线分析[J]. 交通信息与安全, 2014, 32(4): 108-112+118. doi: 10.3963/j.issn.1674-4861.2014.04.020

    ZHANG Jielin, LI Tiezhu. Co-line analysis of rail transit and conventional bus based on competition model[J]. Journal of Transport Information and Safety, 2014, 32(4): 108-112+118. (in Chinese) doi: 10.3963/j.issn.1674-4861.2014.04.020
    [15] 徐泽达, 姚敏峰. 轨道交通与常规公交共线关系下的常规公交优化方法[J]. 华侨大学学报(自然科学版), 2018, 39(4): 562-568. https://www.cnki.com.cn/Article/CJFDTOTAL-HQDB201804015.htm

    XU Zeda, YAO Minfeng. Regular bus optimization method in the rail transit and bus collinear relationship[J]. Journal of Huaqiao University(Natural Science), 2018, 39(4): 562-568. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HQDB201804015.htm
    [16] 王剑, 沈丹青, 王子阳. 轨道交通与常规公交线路协调关系建模与仿真[J]. 系统仿真学报, 2019, 31(10): 1995-2009. https://www.cnki.com.cn/Article/CJFDTOTAL-XTFZ201910005.htm

    WANG Jian, SHEN Danqing, WANG Ziyang. Modeling and simulation of the coordination relationship between rail transit and conventional bus lines[J]. Journal of System Simulation, 2019, 31(10): 1995-2009. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XTFZ201910005.htm
    [17] WEI Junjun, LONG Kejun, GU Jian, et al. Optimizing bus line based on metro-bus integration[J]. Sustainability, 2020, 12(4), 1493. doi: 10.3390/su12041493
    [18] 刘艳艳, 王少剑. 珠三角地区城市化与生态环境的交互胁迫关系及耦合协调度[J]. 人文地理, 2015, 30(3): 64-71. doi: 10.3969/j.issn.1673-6974.2015.03.033

    LIU Yanyan, WANG Shaojian. Coupling coordinative degree and interactive coercing relationship between urbanization and eco-environment in pearl river delta[J]. Human Geography, 2015, 30(3): 64-71. (in Chinese) doi: 10.3969/j.issn.1673-6974.2015.03.033
    [19] 周一星. 城市化与国民生产总值关系的规律性探讨[J]. 人口与经济, 1982(1): 28-33. https://www.cnki.com.cn/Article/CJFDTOTAL-RKJJ198201010.htm

    ZHOU Yixing. Discussion on the regularity of the relationship between urbanization and gross national product[J]. Population & Economics, 1982, (1): 28-33. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-RKJJ198201010.htm
    [20] GROSSMAN G, KREUGER A. Economic growth and the environment[J]. Quarterly Journal of Economics, 1995, 110(2): 353-377. doi: 10.2307/2118443
    [21] 黄金川, 方创琳. 城市化与生态环境交互耦合机制与规律性分析[J]. 地理研究, 2003, (2): 211-220. doi: 10.3321/j.issn:1000-0585.2003.02.010

    HUANG Jinchuan, FANG Chuanglin. Analysis of coupling mechanism and rules between urbanization and eco-environment[J]. Geographical Research, 2003, 22(2): 211-220. (in Chinese) doi: 10.3321/j.issn:1000-0585.2003.02.010
    [22] 王振波, 梁龙武, 褚昕阳, 等. 青藏高原旅游经济与生态环境协调效应测度及交互胁迫关系验证[J]. 地球信息科学学报, 2019, 21(9): 1352-1366. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXX201909007.htm

    WANG Zhenbo, LIANG Longwu, CHU Xinyang, et al. Examining the coordination effect and interactive stress between tourism economy and eco-environment in the Tibetan Plateau[J]. Journal of Geo-Information Science, 2019, 21(9): 1352-1366. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DQXX201909007.htm
    [23] 王振波, 梁龙武, 褚昕阳, 等. 青藏高原旅游经济与生态环境协调效应测度及交互胁迫关系验证[J]. 地球信息科学学报, 2019, 21(9): 1352-1366. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXX201909007.htm

    WANG Zhenbo, LIANG Longwu, CHU Xinyang, et al. Examining the coordination effect and interactive stress between tourism economy and eco-environment in the Tibetan Plateau[J]. Journal of Geo-Information Science, 2019, 21(9): 1352-1366. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DQXX201909007.htm
    [24] 陈毕伍, 廖晓锋. 公路交通可持续发展评价指标体系研究[J]. 中国公路学报, 2009, 22(05): 111-117. doi: 10.3321/j.issn:1001-7372.2009.05.018

    CHEN Biwu, LIAO Xiaofeng. Research on evaluation index system of highway transportation sustainable development[J]. China Journal of Highway and Transport, 2009, 22(5): 111-117. (in Chinese) doi: 10.3321/j.issn:1001-7372.2009.05.018
    [25] YU M M, FAN C K. The effects of privatization on return to the dollar: A case study on technical efficiency, and price distortions of Taiwan's intercity bus services[J]. Transportation Research Part A: Policy and Practice, 2008, 42(6): 935-950. doi: 10.1016/j.tra.2008.01.028
    [26] JAIN P, CULLINANE S, CULLINANE K. The impact of governance development models on urban rail efficiency[J]. Transportation Research Part A: Policy and Practice, 2008, 42(9): 1238-1250. doi: 10.1016/j.tra.2008.03.012
    [27] 高岳, 周翔, 蔡颖, 等. 公交优先导向下超大城市的综合交通规划研究——"上海2040"交通发展思考[J]. 城市规划学刊, 2017(增刊1): 82-93. https://www.cnki.com.cn/Article/CJFDTOTAL-CXGH2017S1010.htm

    GAO Yue, ZHOU Xiang, CAI Ying, et al. Research on transit-oriented comprehensive transportation planning of Megacities-reflections from"Shanghai 2040"[J]. Urban Planning Forum, 2017(S1): 82-93. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CXGH2017S1010.htm
    [28] 赵宁, 毛春梅. 南京创建公交都市的构想与建议[J]. 都市快轨交通, 2014, 27(4): 9-11. doi: 10.3969/j.issn.1672-6073.2014.04.003

    ZHAO Ning, MAO Chunmei. Ideas and suggestions for building nanjing into a transit metropolis[J]. Urban Rapid Rail Transit, 2014, 27(4): 9-11. (in Chinese) doi: 10.3969/j.issn.1672-6073.2014.04.003
  • 加载中
图(1) / 表(5)
计量
  • 文章访问数:  250
  • HTML全文浏览量:  139
  • PDF下载量:  230
  • 被引次数: 0
出版历程
  • 收稿日期:  2021-04-22
  • 网络出版日期:  2022-01-12

目录

    /

    返回文章
    返回