长三角城市群中心城市与周边城市的城际出行特征研究*
Inter-city Travel Characteristics between Central and Surrounding Cities in the Yangtze River Delta Urban Agglomerations
钮心毅
同济大学建筑与城市规划学院 上海市城市更新及其空间优化技术重点实验室 教授，博士生导师
李凯克
同济大学建筑与城市规划学院 博士研究生
岳雨峰
同济大学建筑与城市规划学院 博士研究生
摘要: 使用移动定位大数据，在长三角三省一市范围内识别上海、杭州、南京中心城区与其他城市的跨城通勤、一日往返、高频两地往返3类城际出行，分别计算紧密联系范围。使用互联网地图API接口，测算上海、杭州、南京中心城区的交通等时圈，与3类城际出行紧密联系范围进行对比。上海、杭州、南京中心城区的交通等时圈均出现“圈层+飞地”形态。高铁等快速交通体系已经改变了长三角城市之间的时空关系。3个城市的紧密通勤范围、紧密一日往返范围、紧密高频两地往返范围各有特征，部分紧密联系范围也出现明显的“圈层+飞地”形态。交通等时圈反映的上海、杭州、南京的交通支持能力相对接近，但3种城际高频出行的紧密联系范围差异明显。3种城际高频出行反映了不同的跨城功能联系。中心城市与周边城市之间的跨城功能联系紧密程度不以空间距离为依据，也不与交通等时圈一致。长三角城市群和都市圈的规划必须认识到上述差异，制定相应的规划策略。
Abstract: Three types of inter-city travel, including inter-city commuting, one-day round trip and high-frequency round trip, have been identified by using mobile positioning big data. Through calculating travel density between the central urban areas of Shanghai, Hangzhou, Nanjing and other cities, this paper then separately delimits the scope of close-linked regions of three inter-city travel patterns in the Yangtze River Delta urban agglomerations. With the Internet map API interface, the traffic isochrones of Shanghai, Hangzhou, and Nanjing's central urban areas are calculated and compared with close-linked regions, all of which appear in the form of 'continuous circle + discrete polygon'. High-speed rail and other rapid transit systems have changed the spatiotemporal relationship among cities in the Yangtze River Delta. Each of the close-linked regions of inter-city commuting, one-day round trip and high-frequency round trip of the three cities has their characteristics. Some close-linked regions also have a visible form of 'continuous circle + discrete polygon'. The traffic support capabilities of Shanghai, Hangzhou and Nanjing, which reflected in the traffic isochrones, are relatively close. However, the close-linked regions of the three high-frequency inter-city travels are significantly different. Three types of high-frequency inter-city travel reflect various inter-city functional linkages. The planning of urban agglomerations and metropolitan areas in the Yangtze River Delta must recognize the above differences and formulate corresponding planning strategies.
关键词：城际出行；交通等时圈；功能联系；长三角城市群；移动定位大数据
Keyword: inter-city travel; traffic isochrones; functional linkages; the Yangtze River Delta urban agglomerations; mobile positioning big data
中图分类号：TU984
文献标识码: A
资金资助
国家自然科学基金项目 “多源数据支持下的都市圈空间结构及规划策略研究” 51878457
中共中央国务院. 长江三角洲区域一体化发展规划纲要[EB/OL]. （2019-12-01）[2020-7-20]. http://www.gov.cn/zhengce/2019-12/01/content_5457442.htm.
The CPC Central Committee and the State Council. The outline of the regional integration development plan for the Yangtze River Delta region [EB/OL]. (2019-12-01)[2020-7-20]. http://www.gov.cn/zhengce/2019-12/01/content_5457442.htm.
王缉宪，林辰辉. 高速铁路对城市空间演变的影响：基于中国特征的分析思路[J]. 国际城市规划，2011，26（1）：16-23.
WANG Jixian, LIN Chenhui. High-speed rail and its impacts on the urban spatial dynamics in China: the background and analytical framework[J]. Urban Planning International, 2011, 26(1): 16-23.
王缉宪. 高速铁路影响城市与区域发展的机理[J]. 国际城市规划，2011，26（6）：1-5.
WANG Jixian. Urban and regional impacts of high-speed railways: a preamble[J]. Urban Planning International, 2011, 26(6): 1-5.
金一，王绍博. 高速铁路的空间效应及其热点问题[J]. 国际城市规划，2020，35（3）：27-33.
JIN Yi, WANG Shaobo. Spatial effects of high-speed railway and its hot issues[J]. Urban Planning International, 2020, 35(3): 27-33.
UREÑA J M, MENERAULT P, GARMENDIA M. The high-speed rail challenge for big intermediate cities: a national, regional and local perspective[J]. Cities, 2009, 26(5): 266-279.
汪德根，陈田，陆林，等. 区域旅游流空间结构的高铁效应及机理——以中国京沪高铁为例[J]. 地理学报，2015，70（2）：214-233.
WANG Degen, CHEN Tian, LU Lin, et al. Mechanism and HSR effect of spatial structure of regional tourist flow: case study of Beijing-Shanghai HSR in China[J]. Acta Geographica Sinica, 2015, 70(2): 214-233.
汪德根，章鋆. 高速铁路对长三角地区都市圈可达性影响[J]. 经济地理，2015，35（2）：54-61，53.
WANG Degen, ZHANG Yun. The influence of high-speed railways on accessibility of Yangtze River Delta Region's metropolitans[J]. Economic Geography, 2015, 35(2): 54-61, 53.
WANG L, DUAN X. Modelling intercity accessibility surfaces through different transport modes in the Yangtze River Delta mega-region, China[J]. Data in Brief, 2018, 20: 140-145.
WANG L, DUAN X. High-speed rail network development and winner and loser cities in megaregions: the case study of Yangtze River Delta, China[J]. Cities, 2018, 83: 71-82.
CASTELLS M. Space of flows, space of places: materials for a theory of urbanism in the information age[M]//LEGATES R T, STOUT F. The city reader, 2001: 572-582.
ALBRECHTS L, COPPENS T. Megacorridors: striking a balance between the space of flows and the space of places[J]. Journal of Transport Geography, 2003, 11(3): 215-224.
王兴平，赵虎. 沪宁高速轨道交通走廊地区的职住区域化组合现象——基于沪宁动车组出行特征的典型调研[J]. 城市规划学刊，2010（1）：85-90.
WANG Xingping, ZHAO Hu. A preliminary study on regional combination of living and working in Shanghai-Nanjing high-speed rail transit corridor areas[J]. Urban Planning Forum, 2010(1): 85-90.
王世福，赵渺希.广佛市民地铁跨城活动的空间分析[J]. 城市规划学刊，2012（3）：23-29.
WANG Shifu, ZAHO Miaoxi. Intercity trips and activities: the case of Guangzhou and Foshan[J]. Urban Planning Forum, 2012(3): 23-29.
吴康，方创琳，赵渺希，等. 京津城际高速铁路影响下的跨城流动空间特征[J]. 地理学报，2013，68（2）：159-174.
WU Kang, FANG Chuanglin, ZHAO Miaoxi, et al. The intercity space of flow influenced by high-speed rail: a case study for the rail transit passenger behavior between Beijing and Tianjin[J]. Acta Geographica Sinica, 2013, 68(2): 159-174.
孙娟. 都市圈空间界定方法研究——以南京都市圈为例[J]. 城市规划汇刊，2003（4）：73-77，96.
SUN Juan. Research on the spatial definition method of metropolitan area: the case of Nanjing metropolitan region[J]. Urban Planning Forum, 2003(4): 73-77, 96.
韩刚，袁家冬. 论长春都市圈的地域范围与空间结构[J]. 地理科学，2014，34(10)：1202-1209.
HAN Gang, YUAN Jiadong. The geographic area and spatial structure of Changchun Metropolitan Area[J]. Scientia Geographica Sinica, 2014, 34(10): 1202-1209.
王德，刘锴，郭洁. 沪宁杭三市一日交流圈的空间特征及其比较[J]. 城市规划汇刊，2004（3）：33-38，95.
WANG De, LIU Kai, GUO Jie. The comparison of spatial characteristics of daily-communication-area, by the case study of Shanghai, Hangzhou, Ningbo[J]. Urban Planning Forum, 2004(3): 33-38, 95.
王德，郭玖玖. 北京市一日交流圈的空间特征及其动态变化研究[J]. 现代城市研究，2008（5）：68-75.
WANG De, GUO Jiujiu. The daily communication area of Beijing: spatial characteristics and dynamics[J]. Modern Urban Research, 2008(5): 68-75.
冯章献，王士君. 沈阳都市圈空间范围的界定[J]. 现代城市研究，2006（8）：25-33.
FENG Zhangxian, WANG Shijun. On spatial definition of Shenyang metropolitan region[J]. Modern Urban Research, 2006(8): 25-33.
田俊峰，王士君，王彬燕. 一日交流圈修正下哈长城市群作用域的界定及预测[J]. 地域研究与开发，2016，35（6）：48-53.
TIAN Junfeng, WANG Shijun, WANG Binyan. Scope definition and prediction research of Ha-Chang urban agglomeration under the revised of daily-communication-area[J]. Areal Research and Development, 2016, 35(6): 48-53.
侯雪，刘苏，张文新，等. 高铁影响下的京津城际出行行为研究[J]. 经济地理，2011，31（9）：1573-1579.
HOU Xue, LIU Su, ZHANG Wenxin, et al. Characteristics of commuting behaviors between Beijing and Tianjin influenced by high speed train[J]. Economic Geography, 2011 ,31(9): 1573-1579.
武前波，陶娇娇，吴康，等. 长江三角洲高铁日常通勤行为特征研究——以沪杭、宁杭、杭甬线为例[J]. 城市规划，2018，42（8）：90-97，122.
WU Qianbo, TAO Jiaojiao, WU Kang, et al. Daily commuting behavior characteristics of high-speed rail passengers in the Yangtze River Delta region: by case of Shanghai-Hangzhou, Nanjing-Hangzhou, and Hangzhou-Ningbo lines[J]. City Planning Review, 2018, 42(8): 90-97, 122.
钮心毅，王垚，刘嘉伟，等. 基于跨城功能联系的上海都市圈空间结构研究[J]. 城市规划学刊，2018（5）：80-87.
NIU Xinyi, WANG Yao, LIU Jiawei, et al. Spatial structure of Shanghai Conurbation Area from the perspective of inter-city functional links[J]. Urban Planning Forum, 2018(5): 80-87.
钮心毅，李凯克. 紧密一日交流圈视角下上海都市圈的跨城功能联系[J].上海城市规划，2019（3）：16-22.
NIU Xinyi, LI Kaike. Inter-city functional linkages in shanghai metropolitan region from the perspective of close daily communication area[J]. Shanghai Urban Planning Review, 2019(3): 16-22.
魏冶，修春亮，刘志敏，等. 春运人口流动透视的转型期中国城市网络结构[J]. 地理科学，2016，36（11）：1654-1660.
WEI Ye, XIU Chunliang, LIU Zhimin, et al. Spatial pattern of city network in transitional China based on the population flows in 'chunyun' period[J]. Scientia Geographica Sinica, 2016, 36(11): 1654-1660.
朱鹏程，曹卫东，张宇，等. 人口流动视角下长三角城市空间网络测度及其腹地划分[J]. 经济地理，2019，39（11）：41-48，133.
ZHU Pengcheng, CAO Weidong, ZHANG Yu, et al. Measurement of urban spatial network and its hinterland division in the Yangtze River Delta from the perspective of population flow[J]. Economic Geography, 2019, 39(11): 41-48, 133.
钮心毅，王垚，丁亮. 区域城镇体系中城市腹地划分理论模型的验证[J]. 城市规划，2018，42（12）：9-16，32.
NIU Xinyi, WANG Yao, DING Liang. Delimitation of city hinterland in regional urban systems: verification of theoretical model[J]. City Planning Review, 2018, 42(12): 9-16, 32.
JIANG B. Head/tail breaks: a new classification scheme for data with a heavy-tailed distribution[J]. The Professional Geographer, 2013, 65(3): 482-494.
