Tropical Geography ›› 2021, Vol. 41 ›› Issue (5): 918-927.doi: 10.13284/j.cnki.rddl.003386
Previous Articles Next Articles
Changdong Ye1(), Biying Feng1, Huasong Yao2(
), Dandan Dai3
Received:
2020-09-19
Revised:
2020-11-28
Online:
2021-09-05
Published:
2021-09-23
Contact:
Huasong Yao
E-mail:yechangdong@scau.edu.cn;yhscf@163.com
CLC Number:
Changdong Ye, Biying Feng, Huasong Yao, Dandan Dai. Traffic Flow of Metro Stations and Population Travel Differentiation in Guangzhou[J].Tropical Geography, 2021, 41(5): 918-927.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
Table 2
Number and land use proportion of metro stations of different types in different location in Guangzhou
类型 | 中心圈层 | 近郊圈层 | 远郊圈层 | 合计 | |||||
---|---|---|---|---|---|---|---|---|---|
站点 数量/个 | 站点周边相应 用地占比/% | 站点 数量/个 | 站点周边相应 用地占比/% | 站点 数量/个 | 站点周边相应 用地占比/% | ||||
居住 | 16 | 52.4 | 50 | 57.6 | 16 | 58.2 | 82 | ||
商务办公 | 11 | 70.4 | 3 | 52.4 | 0 | 0.0 | 14 | ||
商业购物 | 13 | 52.6 | 2 | 63.2 | 2 | 65.4 | 17 | ||
休闲旅游 | 13 | 53.4 | 7 | 55.4 | 2 | 62.6 | 22 | ||
公共单位 | 4 | 60.5 | 6 | 64.3 | 1 | 68.4 | 11 | ||
对外交通 | 3 | 51.4 | 2 | 60.5 | 3 | 64.3 | 8 | ||
产业 | 0 | 0.0 | 3 | 78.4 | 3 | 82.4 | 6 |
Table 3
Average metro travel cost in weekday and weekend in Guangzhou
圈层/类型 | 工作日 | 周末 | ||||
---|---|---|---|---|---|---|
距离/km | 时间/min | 距离/km | 时间/min | |||
全市 | 14.04 | 20.48 | 14.28 | 20.81 | ||
中 心 圈 层 | 对外交通 | 10.50 | 18.00 | 10.59 | 18.15 | |
商务办公 | 10.22 | 17.52 | 10.20 | 17.49 | ||
公共单位 | 9.48 | 16.24 | 9.56 | 16.38 | ||
居住 | 8.99 | 15.40 | 8.89 | 15.25 | ||
休闲旅游 | 8.91 | 15.27 | 8.96 | 15.35 | ||
商业购物 | 8.85 | 15.16 | 8.71 | 14.93 | ||
平均 | 9.28 | 15.91 | 9.25 | 15.85 | ||
近 郊 圈 层 | 商务办公 | 17.10 | 25.66 | 17.55 | 26.33 | |
公共单位 | 16.22 | 24.34 | 16.81 | 25.21 | ||
产业 | 15.01 | 22.51 | 15.14 | 22.71 | ||
对外交通 | 14.73 | 22.10 | 14.82 | 22.23 | ||
居住 | 13.04 | 19.55 | 13.35 | 20.02 | ||
休闲旅游 | 12.22 | 18.34 | 12.52 | 18.78 | ||
商业购物 | 12.04 | 18.05 | 12.36 | 18.55 | ||
平均 | 13.49 | 20.23 | 13.81 | 20.72 | ||
远 郊 圈 层 | 公共单位 | 34.91 | 41.89 | 35.79 | 42.95 | |
商业购物 | 30.24 | 36.28 | 30.98 | 37.18 | ||
对外交通 | 29.02 | 34.82 | 29.76 | 35.71 | ||
居住 | 25.34 | 30.41 | 25.92 | 31.11 | ||
产业 | 25.00 | 30.00 | 25.62 | 30.74 | ||
休闲旅游 | 21.02 | 25.23 | 21.75 | 26.10 | ||
平均 | 26.11 | 31.33 | 26.75 | 32.10 |
Table 4
Metro travel aggregate distance interval in weekday and weekend in Guangzhou
圈层/类型 | 工作日 | 周末 | ||||||
---|---|---|---|---|---|---|---|---|
低拐点/km | 高拐点/km | 客流占比/% | 低拐点/km | 高拐点/km | 客流占比/% | |||
全市 | 8.55 | 26.61 | 71.88 | 9.07 | 26.39 | 70.07 | ||
中 心 圈 层 | 对外交通 | 2.60 | 22.98 | 81.06 | 2.15 | 21.15 | 80.97 | |
休闲旅游 | 2.79 | 17.81 | 78.50 | 1.92 | 17.28 | 80.67 | ||
居住 | 2.60 | 18.37 | 78.95 | 1.99 | 17.57 | 79.47 | ||
公共单位 | 3.46 | 21.26 | 77.20 | 1.72 | 19.68 | 79.40 | ||
商业购物 | 2.44 | 19.17 | 79.43 | 1.76 | 17.17 | 79.04 | ||
商务办公 | 2.92 | 20.22 | 78.71 | 3.15 | 19.30 | 74.88 | ||
平均 | 2.74 | 19.23 | 78.87 | 2.12 | 18.09 | 78.86 | ||
近 郊 圈 层 | 对外交通 | 8.15 | 24.72 | 75.4 | 8.44 | 23.22 | 72.19 | |
休闲旅游 | 5.46 | 23.93 | 73.22 | 5.99 | 23.57 | 70.59 | ||
公共单位 | 10.17 | 27.24 | 69.51 | 11.15 | 28.37 | 69.51 | ||
商务办公 | 9.14 | 31.47 | 71.05 | 9.94 | 30.27 | 69.46 | ||
居住 | 7.02 | 24.55 | 72.79 | 7.24 | 24.03 | 69.40 | ||
产业 | 11.52 | 28.63 | 58.64 | 11.15 | 28.33 | 60.44 | ||
商业购物 | 9.30 | 26.79 | 66.64 | 9.41 | 27.76 | 56.93 | ||
平均 | 7.49 | 25.23 | 71.81 | 7.80 | 24.85 | 68.89 | ||
远 郊 圈 层 | 商业购物 | 26.74 | 51.62 | 62.72 | 27.30 | 50.45 | 61.12 | |
居住 | 23.52 | 46.74 | 58.76 | 26.03 | 47.69 | 56.16 | ||
休闲旅游 | 23.04 | 46.92 | 57.37 | 25.80 | 50.33 | 54.06 | ||
公共单位 | 37.76 | 60.48 | 55.44 | 40.44 | 60.48 | 54.00 | ||
产业 | 18.41 | 39.06 | 47.20 | 33.55 | 55.90 | 45.11 | ||
对外交通 | 29.11 | 46.38 | 49.85 | 30.31 | 43.32 | 44.10 | ||
平均 | 24.30 | 46.73 | 56.55 | 27.95 | 48.99 | 53.73 |
Table 5
Average metro travel distance and time in different population group in Guangzhou
人群 | 市域人口比例/% | 潜在客流占比/% | 工作日 | 周末 | ||||
---|---|---|---|---|---|---|---|---|
距离/km | 间距/km | 距离/km | 间距/km | |||||
性别 | 男 | 52.29 | 52.03 | 11.86 | 17.55 | 12.13 | 17.03 | |
女 | 47.71 | 47.97 | 11.70 | 17.46 | 11.96 | 17.00 | ||
年龄/岁 | ≤18 | 15.15 | 13.72 | 11.98 | 17.61 | 12.25 | 17.11 | |
19~64 | 78.10 | 78.54 | 11.85 | 17.53 | 12.11 | 17.01 | ||
≥65 | 6.75 | 7.74 | 10.80 | 17.10 | 11.01 | 16.90 | ||
户籍 | 本地户 | 51.64 | 60.53 | 11.41 | 17.15 | 11.63 | 16.94 | |
省内迁移户 | 24.99 | 18.57 | 11.95 | 17.80 | 12.26 | 17.05 | ||
省外迁移户 | 23.37 | 20.90 | 13.05 | 18.23 | 13.37 | 17.21 | ||
受教育水平 | 小学以下 | 5.91 | 5.21 | 12.01 | 17.56 | 12.29 | 17.26 | |
中学 | 53.72 | 49.19 | 12.30 | 17.31 | 12.58 | 17.13 | ||
大学 | 36.54 | 41.04 | 11.73 | 17.67 | 11.99 | 17.04 | ||
研究生以上 | 3.83 | 4.56 | 10.50 | 17.48 | 10.73 | 16.88 | ||
住房 | 租住公房 | 4.34 | 3.86 | 13.34 | 18.39 | 13.64 | 17.11 | |
租住私房 | 42.31 | 46.09 | 12.56 | 18.36 | 12.89 | 17.40 | ||
自建房 | 21.06 | 8.25 | 14.87 | 18.48 | 15.21 | 17.84 | ||
购买商品房 | 17.66 | 21.53 | 11.11 | 17.18 | 11.36 | 17.11 | ||
购买二手房 | 3.72 | 4.79 | 10.90 | 17.12 | 11.13 | 16.95 | ||
购买经济房 | 1.25 | 1.29 | 11.22 | 17.61 | 11.46 | 16.93 | ||
购买公房 | 9.65 | 14.18 | 10.20 | 16.98 | 10.39 | 16.91 | ||
职业 | 单位负责人 | 4.45 | 5.42 | 12.40 | 18.21 | 12.72 | 17.20 | |
专业技术人员 | 11.51 | 13.99 | 11.55 | 17.61 | 11.81 | 17.26 | ||
办事人员 | 10.75 | 13.40 | 11.75 | 17.71 | 12.02 | 17.29 | ||
商服人员 | 30.75 | 38.73 | 11.61 | 17.76 | 11.87 | 17.15 | ||
农业生产人员 | 8.44 | 0.83 | 18.30 | 18.89 | 18.62 | 18.17 | ||
工业生产人员 | 34.09 | 27.63 | 14.56 | 18.73 | 14.90 | 17.74 | ||
收入来源 | 劳动收入 | 64.83 | 61.38 | 12.53 | 18.03 | 12.82 | 17.35 | |
离退休金养老金 | 9.96 | 15.13 | 10.32 | 16.97 | 10.53 | 16.89 | ||
失业保险金 | 0.12 | 0.20 | 10.01 | 16.79 | 10.20 | 16.87 | ||
最低生活保障金 | 0.40 | 0.34 | 11.54 | 17.28 | 11.75 | 16.98 | ||
财产性收入 | 1.71 | 2.03 | 12.01 | 17.83 | 12.33 | 17.37 | ||
家庭其他成员供养 | 22.98 | 20.93 | 12.01 | 17.59 | 12.30 | 17.13 | ||
婚龄/a | <3 | 19.69 | 18.62 | 12.49 | 18.12 | 12.80 | 17.44 | |
≥3 | 80.31 | 81.38 | 11.77 | 17.60 | 12.03 | 17.20 |
Baker Dwayne Marshall and Lee Bumsoo. 2019. How Does Light Rail Transit (LRT) Impact Gentrification? Evidence from Fourteen US Urbanized Areas. Journal of Planning Education and Research, 39(1): 35-49. | |
Calvo Francisco, Oña Juan and Arán Fernando. 2013. Impact of the Madrid Subway on Population Settlement and Land Use. Land Use Policy, 31: 627-639. | |
Hess Daniel Baldwin and Almeida Tangerine Maria. 2007. Impact of Proximity to Light Rail Rapid Transit on Station-Area Property Values in Buffalo, New York. Urban Studies, 44 (5/6): 1041-1068. | |
陈忠暖,郭敏玲,许敏琳,方远平. 2010. 建国以来广州居民市内出行可达空间的演变——基于常规公交视角的研究. 经济地理,30(11):1797-1803. [Chen Zhongnuan, Guo Minling, Xu Minlin and Fang Yuanping. 2010. Study on the Evolution of Residents Reachable Spatial Based on Regular Bus Transit in Guangzhou City. Economic Geography, 30(11): 1797-1803. ] | |
代丹丹,周春山. 2017. 广州市中产阶层日常活动的时空间特征. 人文地理,32(4):45-53. [Dai Dandan and Zhou Chunshan. 2017. The Spatial-Temporal Characteristics of Middle Class Daily Activities in Guangzhou, China. Human Geography, 32(4): 45-53. ] | |
古杰,周素红,闫小培. 2014. 生命历程视角下广州市居民日常出行的时空路径分析. 人文地理,29(3):56-62. [Gu Jie, Zhou Suhong and Yan Xiaopei. 2014. The Space-Time Paths of Residents' Daily Travel in Guangzhou from a Perspective of Life Course. Human Geography, 29(3): 56-62. ] | |
广州市统计局. 2013. 广州市第六次人口普查. (2019-09-17)[2021-09-01]. http://tjj.gz.gov.cn/pchb/dlcrkpc/. [Guangzhou Statistics Bureau. 2017. The Sixth Population Census of Guangzhou. (2019-09-17) [2021-09-01]. http://tjj.gz.gov.cn/pchb/dlcrkpc/. ] | |
广州市统计局. 2017. 广州市2015年1%人口抽样调查.(2018-11-21)[2021-09-01]. http://tjj.gz.gov.cn/pchb/2015n1rkcydc/. [Guangzhou Statistics Bureau. 2017. 1% Population Sampling Survey in 2015. (2018-11-21) [2021-09-01]. http://tjj.gz.gov.cn/pchb/2015n1rkcydc/. ] | |
黄晓燕,张爽,曹小曙. 2014. 广州市地铁可达性时空演化及其对公交可达性的影响. 地理科学进展,33(8):1078-1089. [Huang Xiaoyan, Zhang Shuang and Cao Xiaoshu. 2014. Spatial-Temporal Evolution of Guangzhou Subway Accessibility and Its Effects on the Accessibility of Public Transportation Services. Progress in Geography, 33(8): 1078-1089. ] | |
季珏,高晓路. 2012. 基于居民日常出行的生活空间单元的划分. 地理科学进展,31(2):248-254. [Ji Jue and Gao Xiaolu. 2012. Identifying the Scope of Daily Life in Urban Areas Based on Residents' Travel Behaviors. Progress in Geography, 31(2): 248-254. ] | |
李文翎,谢轶. 2004. 广州地铁沿线的居民出行与城市空间结构分析. 现代城市研究,(4):61-64. [Li Wenling and Xie Yi. 2004. The Characteristics of the Trips of Inhabitants and the Urban Space Structure alone the Subway in Guangzhou City. Modern Urban Research, (4): 61-64. ] | |
栾鑫,邓卫,程琳,陈新元. 2018. 特大城市居民出行方式选择行为的混合Logit模型. 吉林大学学报(工学版),48(4):1029-1036. [Luan Xin, Deng Wei, Cheng Lin and Chen Xinyuan. 2018. Mixed Logit Model for Understanding Travel Mode Choice Behavior of Megalopolitan Residents. Journal of Jilin University (Engineering and Technology Edition), 48(4): 1029-1036. ] | |
马亮,马雪城. 2017. 轨道沿线居民出行方式选择行为研究——以深圳市为例. 重庆交通大学学报(社会科学版),17(6):25-29. [Ma Liang and Ma Xuecheng. 2017. On the Travel Mode Choice Behavior of the Residents along the Rail Transit Taking Shenzhen. Journal of Chongqing Jiaotong University (Social Sciences Edition), 17(6): 25-29. ] | |
孟斌,黄松,尹芹. 2019. 北京市居民地铁出行出发时间弹性时空分布特征研究. 地球信息科学学报,21(1):107-117. [Meng Bin, Huang Song and Yin Qin. 2019. Spatial and Temporal Distribution Characteristics of Residents' Depart Times Elasticity in Beijing. Journal of Geo-Information Science, 21(1): 107-117. ] | |
《隧道建设(中英文)》编辑部. 2020. 中国城市轨道交通2019年度数据统计. 隧道建设(中英文),40(5):762. [Editorial Office of Tunnel Construction. 2020. Statistics on Annual Data of Urban Rail Transit in China in 2019. Tunnel Construction, 40 (5): 762. ] | |
佟新,王雅静. 2018. 城市居民出行方式的性别比较研究. 山西师大学报(社会科学版),45(3):64-69. [Tong Xin and Wang Yajing. 2018. A Comparative Study of Urban Residents' Travel Modes in the Perspective of Gender. Journal of Shanxi Normal University (Social Science Edition), 45(3): 64-69. ] | |
汪瑞琪,陈建均. 2019. 手机大数据在城市居民出行特征分析的应用. 智能城市,(15):151-153. [Wang Ruiqi and Chen Jianjun. 2019. Application of Mobile Big Data in the Travel Characteristics Analysis of Urban Residents. Intelligent City, (15): 151-153. ] | |
王雯静,干宏程. 2010. 小汽车与轨道交通出行方式选择行为分析. 城市交通,8(3):36-40. [Wang Wenjing and Gan Hongcheng. 2010. Car or Public Transit? Analysis on Travel Mode Choice Behavior. Urban Transport of China, 8(3): 36-40. ] | |
魏海涛,肖天聪,胡宝生,王薇,王晨曦. 2020. 基于出租车GPS数据的居民出行行为和城市空间结构分析——以北京市为例. 上海城市规划,(1):69-76. [Wei Haitao, Xiao Tiancong, Hu Baosheng, Wang Wei and Wang Chenxi. 2020. Analysis of Residents Travel Behavior and Urban Spatial Structure Based on Beijing Taxi GPS Data. Shanghai Urban Planning Review, (1): 69-76. ] | |
张天然. 2016. 基于手机信令数据的上海市域职住空间分析. 城市交通,14(1):15-23. [Zhang Tianran. 2016. Job-Housing Spatial Distribution Analysis in Shanghai Metropolitan Area Based on Cellular Signaling Data. Urban Transport of China, 14(1): 15-23. ] | |
张文尝,王成金,马清裕. 2007. 中国城市居民出行的时空特征及影响因素研究. 地理科学,27(6):737-742. [Zhang Wenchang, Wang Chengjin and Ma Qingyu. 2007. Spatial-Temporal Characteristics of Urban Resident Trips and Influence Factors in China. Scientia Geographica Sinica, 27(6): 737-742. ] | |
赵鹏军,李南慧,李圣晓. 2016. TOD建成环境特征对居民活动与出行影响——以北京为例. 城市发展研究,23(6):45-51. [Zhao Pengjun, Li Nanhui and Li Shengxiao. 2016. The Impacts of the Built Environment on Residents' Acitivities and Travel Behavior in TOD Areas: A Case Study of Beijing. Urban Development Studies, 23(6): 45-51. ] | |
赵莹,柴彦威,关美宝. 2014. 中美城市居民出行行为的比较——以北京市与芝加哥市为例. 地理研究,33(12):2275-2285. [Zhao Ying, Chai Yanwei and Kwan Meipo. 2014. Comparison of Urban Residents' Travel Behavior in China and the U.S.: A Case Study between Beijing and Chicago. Geographical Research, 33(12): 2275-2285. ] | |
中华人民共和国住房和城乡建设部. 2012. 城市用地分类与规划建设用地标准GB50137-2011. 北京:中国建筑工业出版社. [Ministry of Housing and Urban-Rural Construction of the People's Republic of China. 2012. Code for Classification of Urban Land Use and Planning Standards of Development Land GB 50137-2011. Beijing: China Architecture & Building Press. ] | |
周素红,宋江宇,宋广文. 2017. 广州市居民工作日小汽车出行个体与社区双层影响机制. 地理学报,72(8):1444-1457. [Zhou Suhong, Song Jiangyu and Song Guangwen. 2017. Examining the Dual-Levels Impact of Neighbourhood and Individual Variables on Car Use on Weekdays in Guangzhou. Acta Geographica Sinica, 72(8): 1444-1457. ] | |
宗会明,何舟,杨庆媛,戴技才. 2014. 基于SP方法的重庆居民轨道交通出行时间价值及影响因素分析. 现代城市研究,(2):115-120. [Zong Huiming, He Zhou, Yang Qingyuan and Dai Jicai. 2014. The Value of Travel Time of the Rail Transportation Based on SP Method: A Case Study of Chongqing City. Modern Urban Research, (2): 115-120. ] |
|