基于多源数据的城市空间发展评估研究 ——以上海市徐汇区为例
Research of Urban Spatial Development Evaluation Based on Multi-source Data: A Case Study of Xuhui District, Shanghai
刘 群
上海复旦规划建筑设计研究院 规划分院执行副院长，高级城市规划师，硕士
摘要: 数据技术的快速发展为城市规划领域带来了全新的研究视角和研究方法，城市空间发展评估的研究也逐步从定性走向定
量，定量评估能弥补传统规划评估方法的主观性强、不全面、时效性差等缺陷。运用与人口分布及人的活动相关的多种来
源数据对徐汇区职住功能空间、综合交通空间、商务活力空间和商业休闲空间的发展进行定量评估，结果显示：徐汇区空
间发展存在明显的不均衡状态，就业、交通、商务、商业服务等多种要素的空间分布都存在“北优中良南薄弱”特征，同时
东部滨江地区发展也较为欠缺。最后，对徐汇区未来空间发展策略进行了初步探索。
Abstract: The rapid development of data technology brings new research perspective for urban planning field, and the research method of urban
spatial development assessment gradually changes from qualitative analysis to quantitative analysis which can remedy weaknesses
of traditional planning assessment method, such as subjectivity, one-sidedness and poor timeliness. This paper uses multi-source
data related to human activities to analyze living function space, comprehensive transportation space, business activity space and
commercial space of Xuhui District. The results show that various elements’ spatial distribution clearly presents the North Excellent -
Middle Good - Southern Poor characteristic, and the development of riverside area is lagging behind. Finally, this article puts forward
some strategies to promote the spatial development of Xuhui District.
关键词：多源数据、城市空间、评估、徐汇区
Keyword: Multi-source data， Urban space，| Evaluation， Xuhui District
中图分类号：TU981
文献标识码: A
[1]王鹏. 大数据支持的城市规划方法初探[C]//2014
中国城市规划年会. 海口，2014.
WANG Peng. Preliminary research on urban
planning methods supported by big data [C]//Annual
National Planning Conference 2014. Haikou, 2014.
[2]杨飞. 基于手机定位的交通OD数据获取技术[J].
系统工程，2007（1）：42-48.
YANG Fei. Traffic OD data collection based on cell
phone location technology [J]. Systems Engineering,
2007 (1): 42-48.
[3]杨飞，裘炜毅. 基于手机定位的实时交通数据采
集技术[J]. 城市交通，2005（4）：67-72.
YANG Fei, QIU Weiyi. Mobile phone locationbased
real time traffic data collection research [J].
Urban Transport of China, 2005 (4): 67-72.
[4]许宁. 基于手机定位数据的居民职住地分布特征
研究[D]. 长沙：中南大学硕士学位论文，2014.
XU Ning. Research of distribution features of homework
location based on mobile phone positioning
data in Shenzhen [D]. Changsha: The Dissertation
for Master Degree of Central South University,
2014.
[5]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.
[6]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]. Shanghai Urban
Planning Review, 2015 (9): 100-106.
[7]龙瀛，张宇，崔承印. 利用公交刷卡数据分析北京
职住关系和通勤出行[J]. 地理学报，2012（10）：
1339-1352.
LONG Ying, ZHANG Yu, CUI Chengyin. Identifying
commuting pattern of Beijing using bus smart card
data [J]. Acta Geographica Sinica, 2012 (10): 1339-
1352.
[8]Ma X, Wu Y, Wang Y, et al. Mining smart card data
for transit riders’ travel patterns [J]. Transportation
Research Part C: Emerging Technologies, 2013 (36):
1-12.
[9]W J. Travel time and transfer analyses using transit
smart card data [J]. Transportation Research Record:
Journal of the Transportation Report Board, 2010
(144): 142-149.
[10]董琦，刘航. 南京城市消费空间活力演变研
究——基于消费签到数据的空间分析与思考
[C]//2015中国城市规划年会. 贵阳，2015.
DONG Qi, LIU Hang. Research on the evolution of
consumption space vitality: analysis and thinking
based on consumption checking-in data [C]//Annual
National Planning Conference 2015. Guiyang, 2015.
[11]甄峰，王波，陈映雪. 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（8）：1031-1043.
ZHEN Feng, WANG Bo, CHEN Yingxue. China’s
city network characteristics based on social network
space：an empirical analysis of Sina Micro-blog[J].
Acta Geographica Sinica, 2012 (8): 1031-1043.
[12]熊丽芳，甄峰，王波，等. 基于百度指数的长三角
核心区城市网络特征研究[J]. 经济地理，2013
（7）：67-73.
XIONG Lifang, ZHEN Feng, WANG Bo, et al. The
research of the Yangtze River Delta core area’s
city network characteristics based on Baidu Index [J].
Economic Geography, 2013 (7): 67-73.
[13]陈映雪，甄峰，王波，等. 基于社会网络分析的中
国城市网络信息空间结构[J]. 经济地理，2013
（4）：56-63.
CHEN Yingxue, ZHEN Feng, WANG Bo, et al.
Chinese city network structure in the cyberspace
based on social network analysis [J]. Economic
Geography, 2013 (4): 56-63.
