[1]李军,郑培庆.城市公交过剩通勤分析与评价——以广州市为例[J].深圳大学学报理工版,2020,37(6):623-629.[doi:10.3724/SP.J.1249.2020.06623]
　LI Jun and ZHENG Peiqing.Analyzing and evaluating of the urban transit excess commuting: a case study of Guangzhou City[J].Journal of Shenzhen University Science and Engineering,2020,37(6):623-629.[doi:10.3724/SP.J.1249.2020.06623]
点击复制

城市公交过剩通勤分析与评价——以广州市为例()
分享到：

《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第37卷
期数:
2020年第6期
页码:
623-629
栏目:
交通物流
出版日期:
2020-11-09

文章信息/Info

Title:
Analyzing and evaluating of the urban transit excess commuting: a case study of Guangzhou City
文章编号:
202006011
作者:
李军; 郑培庆
中山大学智能工程学院，广东智能交通系统重点实验室，广东广州 510006
Author(s):
LI Jun and ZHENG Peiqing
School of Intelligent Systems Engineering, Guangdong Provincial Key Laboratory of Intelligent Transportation System, Sun Yat-sen University, Guangzhou 510006, Guangdong Province, P.R.China
关键词:
交通运输工程; 公共交通; 过剩通勤; IC卡数据; 多交通方式; 广州
Keywords:
transportation engineering;  public transit;  excess commuting;  smart card data;  multiple transit modes;  Guangzhou
分类号:
U491.1
DOI:
10.3724/SP.J.1249.2020.06623
文献标志码:
A
摘要:
利用公共交通出行的IC卡(smart card)数据，对城市公交通勤出行进行多种交通方式的过剩通勤分析，综合评估城市公交通勤，提出多交通方式的优化建议．以中国广州市作为研究案例，结果表明，广州居民公共交通平均通勤距离处于合理水平，不区分交通方式的过剩通勤指标与北京和上海近似，体现了3个城市整体公共交通发展水平一致；但广州市常规公交的过剩通勤指标高于地铁，与交通方式的预期不符，表明广州市常规公交和地铁尚有较大优化空间．过剩通勤可以有效评价城市公共交通空间结构的合理性，多交通方式的过剩通勤分析可以进一步发掘多种交通方式联合优化方向．
Abstract:
We carry out the excess commuting analysis of various transit modes by using the smart card data of public transportation, and comprehensively evaluate the spatial structure of urban transit system and explore the optimization strategies for multiple transit modes. A case study of Guangzhou City indicates that Guangzhou’s average commuting distance for residents is at a reasonable level and the excess commuting index without distinguishing traffic modes is similar to that of Beijing or Shanghai, which is consistent with the accordant level of development of transit systems. However, the excess commuting index of conventional bus system in Guangzhou is higher than that of the metro system, which is inconsistent with the expectation of transportation mode, indicating that both bus and metro system in Guangzhou can be further optimized. The results show that the excess commuting theory is suitable to evaluate the overall performance of urban transit systems, and the excess commuting analysis by multiple transit modes is useful to find the joint optimization direction of multiple modes of transportation.

参考文献/References:

［1］ HAMILTON B W, RELL A. Wasteful commuting［J］. Journal of Political Economy, 1982, 90(5): 1035-1051.
［2］ WHITE M J. Urban commuting journeys are not “wasteful”［J］. Journal of Political Economy, 1988, 96(5): 1097-1110.
［3］ SMALL K A, SONG Shunfeng. “Wasteful” commuting: a resolution［J］. Jornal of Political Economy, 1992, 100(4): 888-898.
［4］ HORNER M W. Extensions to the concept of excess commuting［J］. Environment & Planning A: Economy and Space, 2002, 34(3): 543.
［5］ CHARRON M. From excess commuting to commuting possibilities: more extension to the concept of excess commuting［J］. Environment & Planning A: Economy and Space, 2007, 39(5): 1238-1254.
［6］ YANG Jiawen, FERREIRA Jr J. Choices versus choice sets: a commuting spectrum method for representing job-housing possibilities［J］. Environment & Planning B: Planning & Design, 2008, 35(2): 364-378.
［7］ O’KELLY M E, NIEDZIELSKI M A. Efficient spatial interaction: attainable reductions in metropolitan average trip length［J］. Journal of Transport Geography, 2008, 16(5): 313-323.
［8］ MURPHY E, KILLEN J E. Commuting economy: an alternative approach for assessing regional commuting efficiency［J］. Urban Studies, 2011, 48(6): 1255-1272.
［9］ NIEDZIELSKI M A, HORNER M W, XIAO Ningchuan. Analyzing scale independence in jobs-housing and commute efficiency metrics［J］. Transportation Research Part A, 2013, 58(3): 129-143.
［10］ 刘贤腾, 陈雪明, 周江评. 就业-居住空间关系及通勤效率——过剩通勤的评估潜力［J］. 城市交通, 2018, 16(2): 14-22.
LIU Xianteng, CHEN Xueming, ZHOU Jiangping. Study on jobs-housing spatial relationship and commuting efficiency: evaluation potential of excess commuting［J］. Urban Transport of China, 2018, 16(2): 14-22. (in Chinese)
［11］ KANAROGLOU P S, HIGGINS C D, CHOWDHURY T A. Excess commuting: a critical review and comparative analysis of concepts, indices, and policy implications［J］. Journal of Transport Geography, 2015, 44: 13-23.
［12］ 刘望保, 闫小培, 方远平, 等. 广州市过剩通勤的相关特征及其形成机制［J］. 地理学报, 2008, 63(10): 1085-1096.
LIU Wangbao, YAN Xiaopei, FANG Yuanping, et al. Related characteristics and mechanisms for excess commuting in Guangzhou［J］. Acta Geographics Sinica, 2008, 63(10): 1085-1096.(in Chinese)
［13］ 刘定惠. 中国西部大城市过剩通勤研究——以成都市和兰州市为例［D］. 兰州: 兰州大学, 2012.
LIU Dinghui. The study of excess commuting of large cities in Western China: the cases of Chengdu and Lanzhou［D］. Lanzhou: Lanzhou University, 2012.(in Chinese)
［14］ 周江评, 陈晓键, 黄伟, 等. 中国中西部大城市的职住平衡与通勤效率——以西安为例［J］. 地理学报, 2013, 68(10): 1316-1330.
ZHOU Jiangping, CHEN Xiaojian, HUANG Wei, et al. Jobs-housing balance and commute efficiency in cities of central and Western China: a case study of Xi’an［J］. Acta Geographics Sinica, 2013, 68(10): 1316-1330.(in Chinese)
［15］ LIU Wangbao, HOU Quan. Excess commuting in transitional urban China: a case study of Guangzhou［J］. Chinese Geographical Science, 2016, 26(5): 599-608.
［16］ SCHLEITH D, WIDENER M, KIM C. An examination of the jobs-housing balance of different categories of workers across 26 metropolitan regions［J］. Journal of Transport Geography, 2016, 57: 145-160.
［17］ 韩会然, 杨成凤, 宋金平. 公共交通与私家车出行的通勤效率差异及影响因素——以北京都市区为例［J］. 地理研究, 2017, 36(2): 253-266.
HAN Huiran, YANG Chengfeng, SONG Jinping. Impact factors and differences in commuting efficiency between public transit and private automobile travel: a case study on the Beijing metropolitan area［J］. Geographical Research, 2017, 36(2): 253-266.(in Chinese)
［18］ ZHOU Jiangping, SIPE N, MA Zhenliang, et al. Monitoring transit-served areas with smartcard data: a Brisbane case study［J］. Journal of Transport Geography, 2017, 76: 265-275.
［19］ ZHOU Jiangping, MURPHY E, LONG Ying. Commuting efficiency in the Beijing metropolitan area: an exploration combining smartcard and travel survey data［J］. Journal of Transport Geography, 2014, 41: 175-183.
［20］ ZHANG Ping, ZHOU Jiangping, ZHANG Tianran. Quantifying and visualizing jobs-housing balance with big data: a case study of Shanghai［J］. Cities, 2017, 66: 10-22.
［21］ 钱志诚. 基于地铁刷卡数据和问卷调查数据的深圳市过度通勤研究［D］. 深圳: 深圳大学, 2017.
QIAN Zhicheng. Analyzing excess commuting of Shenzhen by using smart card data of metro and questionnaire data［D］. Shenzhen: Shenzhen University, 2017.(in Chinese)
［22］ ZHOU Jiangping, MURPHY E. Day-to-day variation in excess commuting: an exploratory study of Brisbane, Australia［J］. Journal of Transport Geography, 2019, 74: 223-232.
［23］ 冷炳荣, 余颖, 黄大全, 等. 大数据视野下的重庆主城区职住关系剖析［J］. 规划师, 2015, 31(5): 92-96.
LENG Bingrong, YU Ying, HUANG Daquan, et al. Big data based job-residence relation in Chongqing metropolitan area［J］. Planners, 2015, 31(5): 92-96.(in Chinese)
［24］ 李军, 邓红平. 基于公交IC卡数据的乘客出行分类研究［J］. 重庆交通大学学报自然科学版, 2016, 35(6): 109-114.
LI Jun, DENG Hongping. Classification of passenger’s travel behavior based on IC card data［J］. Journal of Chongqing Jiaotong University Natural Science, 2016, 35(6): 109-114.(in Chinese)
［25］ ZHOU Jiangping, LONG Ying. Jobs-housing balance of bus commuters in Beijing: exploration with large-scale synthesized smart card data［J］. Transportation Research Record, 2014, 4: 1-10.

相似文献/References:

[1]梅振宇,葛宏伟,项贻强.基于离散分布的公交站距优化模型[J].深圳大学学报理工版,2007,24(4):357.
　MEI Zhen-yu,GE Hong-wei,and XIANG Yi-qiang.A bus stop spacing optimizing model based on　discrete distribution demand[J].Journal of Shenzhen University Science and Engineering,2007,24(6):357.
[2]韩彪,聂伟,王卫平,等.基于公交车站的可达性度量模型[J].深圳大学学报理工版,2013,30(No.1(001-110)):98.[doi:10.3724/SP.J.1249.2013.01098]
　Han Biao,Nie Wei,Wang Weiping,et al.Accessibility measurement model based on bus stop[J].Journal of Shenzhen University Science and Engineering,2013,30(6):98.[doi:10.3724/SP.J.1249.2013.01098]
[3]宗刚,吴彤.公共交通枢纽可达性测度及应用[J].深圳大学学报理工版,2016,33(5):544.[doi:10.3724/SP.J.1249.2016.05544]
　Zong Gang and Wu Tong.Measurement and application of accessibility of public transportation hub[J].Journal of Shenzhen University Science and Engineering,2016,33(6):544.[doi:10.3724/SP.J.1249.2016.05544]
[4]李伟,罗钦.基于逐步优化的轨道交通网络行车计划衔接[J].深圳大学学报理工版,2018,35(6):629.[doi:10.3724/SP.J.1249.2018.06629]
　LI Wei and LUO Qin.Rail transit network planning based on gradual optimization[J].Journal of Shenzhen University Science and Engineering,2018,35(6):629.[doi:10.3724/SP.J.1249.2018.06629]
[5]于泉,刘洋,郭骁伟.基于路口相关性的交通流量修复研究[J].深圳大学学报理工版,2019,36(3):304.[doi:10.3724/SP.J.1249.2019.03304]
　YU Quan,LIU Yang,and GUO Xiaowei.Restoration of traffic flow data based on intersection correlation[J].Journal of Shenzhen University Science and Engineering,2019,36(6):304.[doi:10.3724/SP.J.1249.2019.03304]
[6]邓连波,何渊,曾俊豪,等.需求可拆分下城轨关联的公交接驳线网优化[J].深圳大学学报理工版,2020,37(2):121.[doi:10.3724/SP.J.1249.2020.02121]
　DENG Lianbo,HE Yuan,ZENG Junhao,et al.Optimal design of feeder-bus network with split delivery[J].Journal of Shenzhen University Science and Engineering,2020,37(6):121.[doi:10.3724/SP.J.1249.2020.02121]
[7]贺云鹏,李建国.平面移动式立体车库客流状态聚类研究[J].深圳大学学报理工版,2020,37(3):314.[doi:10.3724/SP.J.1249.2020.03314]
　HE Yunpeng and LI Jianguo.Passenger flow state clustering in flat mobile automated garage[J].Journal of Shenzhen University Science and Engineering,2020,37(6):314.[doi:10.3724/SP.J.1249.2020.03314]
[8]周菁楠,李伟,罗钦.城轨车站大客流条件下列车运行调整[J].深圳大学学报理工版,2020,37(6):617.[doi:10.3724/SP.J.1249.2020.06617]
　ZHOU Jingnan,LI Wei,and LUO Qin.Adjustment for train operation under the condition of mass passenger flow in urban rail transit[J].Journal of Shenzhen University Science and Engineering,2020,37(6):617.[doi:10.3724/SP.J.1249.2020.06617]

备注/Memo

备注/Memo:
Received：2019-11-29；Accepted：2020-01-06
Foundation：Research and Development Project in Key Areas of Guangdong Province (2019B090913001)
Corresponding author：Associate professor LI Jun. E-mail：stslijun@mail.sysu.edu.cn
Citation：LI Jun, ZHENG Peiqing．Analyzing and evaluating of the urban transit excess commuting: a case study of Guangzhou City［J］. Journal of Shenzhen University Science and Engineering, 2020, 37(6): 623-629.（in Chinese）
基金项目：广东省重点领域研发计划资助项目(2019B090913001)
作者简介：李军（1968—），中山大学副教授、博士生导师．研究方向：交通运输规划与管理．E-mail: stslijun@mail.sysu.edu.cn
引文：李军，郑培庆．城市公交过剩通勤分析与评价——以广州市为例［J］. 深圳大学学报理工版，2020，37(6)：623-629.
更新日期/Last Update: 2020-11-26