手机信令数据分析在城镇体系规划中的应用实践* ——南昌大都市区的案例

Practical Analysis of Mobile Phone Signaling Data in Urban System Planning: A Case Study of Nanchang Metropolis

姚 凯
上海同济城市规划设计研究院三所 副所长,高级工程师,硕士

钮心毅
同济大学建筑与城市规划学院 副教授,博士

摘要: 在南昌大都市区规划中将手机信令数据作为城镇体系规划基础数据,进行了创新研究实践。首先,从手机信令数据中获取 了江西省40个县市范围内手机用户37天的时空活动轨迹,以区域内常住居民的多日跨镇出行数量来模拟区域内各城市网 络联系强度;其次,依据城市网络联系强度,分别从城镇等级体系、中心城市腹地和区域发展廊道3个方面,结合对既有规 划的比较,对区域城镇体系现状进行了综合评估;最后,对大都市区规划提出空间发展策略:积极培育多中心城市体系、依 托主要廊道优化空间结构、合理构建城镇组群提供了定量分析支撑。

Abstract: Mobile Signal Data is practically used as the basic data of urban system plannin gin Nanchang Metropolis case. First, the study get the mobile phone users’ activity routes,who were located in research areas during the 37 days. The users’ outing times are used to model the connection among the city network. Second, according to the city network connection, the study analyzes the urban ranking system, central city hinterland and regional development corridor, so as to evaluate the urban system planning. Third, the study provides the quantities support for the spatial strategies of Nanchang Metropolis for cultivating multi-center city system, optimizing the spatial structure, and building rational urban groups.

关键词:手机信令数据、城镇体系规划、城市网络联系

Keyword: Mobile Signal Data, Urban system planning ,City network connection

中图分类号:TU981

文献标识码: A

资金资助

上海同济城市规划设计研究院、同济大学高密度区域智能城镇化协同创新中心科研项目 “基于手机信令数据的区域城镇体系规划方法研究” KY-2016- ZD1-A01

[1]周一星,胡智勇. 从航空运输看中国城市体系的
空间网络结构[J].地理研究,2002,21(3):
276-286.
ZHOU Yixing, HU Zhiyong. Looking into the
network structure of Chinese urban system from the
perspective of air transportation[J]. Geographical
Research, 2002,21(3):276-286.
[2]罗震东,朱查松,薛雯雯.基于高铁客流的长
江三角洲空间结构再审视[J]. 上海城市规划,
2015(4):74-80.
LUO Zhendong, ZHU Chasong, XUE Wenwen. The
analysis on spatial structure of Yangtze River Delta
based on passenger flow of high-speed railway[J].
Shanghai Urban Planning Review,2015 (4): 74-80.
[3]甄峰,王波,陈映雪,等.基于网络社会空间的中
国城市网络特征——以新浪微博为例[J].地理
学报,2012,67(8):1031-1043.
ZHEN Feng, WANG Bo, CHEN Yingxue, et
al. China's city network characteristics based
on social network space:an empirical analysis
of Sina Micro-blog[J].ActaGeographicaSini
ca,2012,67(8):1031-1043.
[4]甄峰,王波,秦萧,等. 基于大数据的城市研究与
规划方法创新[M].北京:中国建筑工业出版社,
2015.
ZHEN Feng, WANG Bo, QIN Xiao, et al. Urban
studies and innovation in urban planning methods
based on big data[M]. Beijing: China Architecture &
Building Press, 2015.
[5]唐子来,李涛. 长三角地区和长江中游地区的城
市体系比较研究:基于企业关联网络的分析方
法[J]. 城市规划学刊,2014(2):24-31.
TANG Zilai, LI Tao. A comparative analysis ofurban systems in the Yangtze Delta Region and the
Middle Yangtze Region: an approach of firm-based
interlocking network[J]. Urban Planning Forum,
2014(2):24-31.
[6]Krings G, Calabrese F, Ratti C, et al. Urban gravity:
a model for inter-city telecommunication flows[J].
Journal of Statistical Mechanics: Theory and
Experiment, 2009(7): L07003.
[7]Becker R, Cáceres R, Hanson K, et al. Human
mobility characterization from cellular network
data[J]. Communications of the ACM, 2013, 56(1):
74-82.
[8]钮心毅,丁亮. 利用手机数据分析上海市域的职
住空间关系——若干结论和讨论[J].上海城市
规划,2015(2):39-43.
NIU Xinyi, DING Liang. Analyzing job-housing
spatial relationship in Shanghai using mobile phone
data: some conclusions and discussions[J]. Shanghai
Urban Planning Review, 2015(2):39-43.
[9]丁亮,钮心毅,宋小冬. 利用手机数据识别上
海中心城的通勤区[J]. 城市规划,2015(9):
100-106.
DING Liang, NIU Xinyi, SONG Xiaodong.
Identifying the commuting area of Shanghai Central
City using mobile phone data[J]. City Planning
Review, 2015(9): 100-106.
[10]宋小冬,丁亮,钮心毅. “大数据”对城市规划
的影响:观察与展望[J]. 城市规划,2015(4):
15-18.
SONG Xiaodong, DING Liang, NIU Xinyi.
Influence of big data on urban planning: review
and prospection[J]. City Planning Review, 2015(4):
15-18.

微信扫一扫
关注“上海城市规划”
公众号