为提升常规公交与轨道交通衔接水平,弱化二者客流竞争,提出基于轨道公交一体化的常规公交线网优化调整方法。首先,计算轨道交通影响范围内既有公交线路重合度和客运量,并采用聚类分析法筛选出待调线路集,按照与中心区的相对位置将待调线路分为区内线、区外线、尽头线和过境线4类,分别提出不同类型线路的调整方法。然后,选择高峰期公交衔接客流强度大的轨道站点为接驳公交站,建立目标约束函数,以乘客出行时间最小为目标生成新增接驳公交线路。最后,借助TransCAD建模并通过SPSS进行聚类分析,对昆明轨道交通1, 2, 3号线影响范围内的既有公交线路进行调整并新增接驳公交线路。调整后的公交线网密度增加了0.21km/km2,站点500m覆盖率增加了3.2%,公交线路重复系数降低了0.08,结果表明此方法能有效缓解轨道和公交客流竞争,增强一体化网络服务能力。
In order to improve the connection level and weaken the passenger flow competition between conventional bus and rail transit, the optimization and adjustment method of conventional bus network based on rail transit and bus integration was put forward. Firstly, the coincidence degree and passenger volume of existing bus lines within the impact areas of rail transit were calculated, and the cluster analysis was applied to select bus lines to be adjusted. According to their relative position with central area, the bus lines to be adjusted were divided into four types: internal lines, external lines, end lines and transit lines, the adjustment methods for different types of lines were proposed. Secondly, the rail transit stations with high intensity of bus connection passenger flow in peak hours were selected as the feeder bus stations. The objective constraint function was applied to generate new feeder bus lines with minimizing passenger travel time set as the constraint target. One this basis, the existing bus lines adjusted plan and new feeder bus line plan of Kunming Rail transit 1, 2 and 3 lines were analyzed based on the TransCAD model and SPSS cluster analysis results. After the adjustment, the bus network density increased by 0.21km/km2, the 500m coverage rate of stations increased by 3.2%, and the bus line repetition coefficient decreased by 0.08. The results show that this method can effectively alleviate the competition on passenger flow between rail transit and bus, and enhance the integrated network service ability.
[1] 马超群,王玉萍. 基于客流效益最大化的轨道交通线网优化方法[J]. 长安大学学报(自然科学版),2010,30(1):76-79.
[2] 李家斌,过秀成,姜晓红,等. 城市轨道交通运营初期地面公交线网调整策略研究[J]. 现代城市研究,2014(10):50-54.
[3] GALLO M, MONTELLA B, ACIERNO L D. The transit network design problem with elastic demand and internalization of external costs: An application to rail frequency optimization[J]. Transportation Research Part C: Emerging Technologies, 2011, 19 (6): 1276-1305.
[4] CHIEN S, YANG Z W. Optimal feeder bus routes on irregular street networks[J]. Journal of Advanced Transportation, 2000, 34(2): 213-248.
[5] 戴帅,陈艳艳,刘小明. 北京市公共交通一体化规划研究[J]. 规划师,2007,23(11):8-11.
[6] 冯进峰,苗彦英,韩萍. 适应城市轨道交通建设的公交线网调整方法研究[C]// 第五届全国城市轨道交通学术研讨会论文集. 北京:中国铁道学会,2001.
[7] 叶钦海,靳文舟,何佳利. 地铁新线开通公交优化调整研究——以广州地铁六号线二期为例[J]. 公路与汽运,2016(6):28-32.
[8] 屈龙. 山地大城市公交一体化线网布局研究[D]. 重庆:重庆交通大学,2012.
[9] 谭英嘉,杨薇,葛宏伟. 城市轨道接驳公交线网优化调整研究[J]. 交通标准化,2013(22):8-12.
[10] 交通运输部. 中国城市客运发展报告(2010—2019)[M]. 北京:人民交通出版社股份有限公司,2010-2019.
[11] 戴学臻. 交通工程CAD基础教程[M]. 北京:人民交通出版社,2012.
[12] 李航. 统计学习方法[M]. 北京:清华大学出版社,2019.
[13] 梁丽娟. 城市轨道线网形成期公交线路调整方法研究[D]. 上海:同济大学,2009.
[14] 石慧钰. 新建城市轨道交通沿线公交线路调整方法研究[D]. 成都:西南交通大学,2014.
[15] 姜毅,王卫. 城市轨道交通沿线常规公交线网评价分析[J]. 交通科技与经济,2013,15(4):97-99.
[16] 杨磊. 轨道交通沿线公交线网评价方法研究 ——以苏州市1号线为例[D]. 苏州:苏州大学,2017.
[17] 孙杨. 城市轨道交通新线投入运营下常规公交线网优化调整方法研究[D]. 北京:北京交通大学,2012.
[18] 北京中城捷工程咨询有限责任公司,北京城建设计研究总院有限责任公司. 昆明市城市快速轨道交通线网规划[R]. 北京:北京中城捷工程咨询有限责任公司,北京城建设计研究总院有限责任公司,2006.