基于数据融合和规划场景设定建设多源数据 规划应用平台
Multi-source Data Planning Application Platform Based on Data Fusion and Planning Scenarios
徐 猛
上海数城网络信息有限公司 助理工程师，硕士
摘要: 在以人为本的规划编制导向下，传统的规划研究方法偏重对空间安排的关注，其背后对人需求的思考依靠传统数据资源
难以满足研究需要。大数据时代，众多新兴数据资源从各种维度对人的行为特征进行了诠释，为规划师的方案思考提供了
全新的视角空间和量化依据。基于对多源数据的充分理解和规划业务需求的系统梳理，从场景应用出发，提出数据融合技
术体系，应用大数据的整体解决方案开发信息化产品，探索多源数据在规划编制中的普适应用和产业化发展道路。
Abstract: In the people-oriented planning guidance, traditional methods of planning research place a heavy emphasis on spatial arrangements.
Behind the planning research is the thinking of people's demands,which are diffi cult to be met through traditional data resources. In
the era of big data, many emerging data sources interpret human behavior characteristics from various dimensions, providing a new
perspective and quantitative basis for planners. Based on a thorough understanding of multi-source data and systematic review of
planning business needs, starting from the scene application, data fusion technology system has been proposed as the application of
big data solutions for the development of information technology products. The universal application of multi-source data in planning
and industrialization development have also been explored.
关键词：大数据、多源、规划、产品 、解决方案
Keyword: Big data ，Multi-source，Planning，Product，Solution
中图分类号：TU981
文献标识码: A
[1]重庆城市大数据实验室（CUDL）. 数读重庆[R].
2017.
Chongqing Urban Big Data Laboratory. Digitizing
Chongqing[R]. 2017.
[2]北京城市象限科技有限公司. 大数据视角下帝都
魔都的爱恨情仇[R]. 2017.
Beijing City Quadrant Technology Co., Ltd. A
comparative study of Beijing and Shanghai from the
perspective of big data[R]. 2017.
[3]龙瀛. 大数据时代的城市模型研究及其机遇[R].
2017.
LONG Ying. Urban model in big data era and its
opportunities[R]. 2017.
[4]Beijing City Lab. Geospatial analysis to support
urban planning in Beijing[EB/OL]. (2015)[ 2018-02-
09]. EU:https://www.beijingcitylab.com/projects-1/5-
planning-support-systems/.
[5]李长风. 国外咨询公司商业选址类业务经验借鉴
研究[R]. 2016.
LI Changfeng. Research on business location
experiences of foreign consulting companies[R].
2016.
[6]张天然. 基于手机信令数据的上海市域职住空间
分析[J]. 城市交通，2016（1）：15-23.
ZHANG Tianran. Job-housing spatial distribution
analysis in Shanghai metropolitan area based on
cellular signaling data[J]. City Traffic, 2016(1): 15-23.
[7]王德，朱查松，谢栋灿. 上海市居民就业地迁移研
究——基于手机信令数据的分析[J]. 中国人口科
学，2016（1）：80-89.
WANG De, ZHU Chasong, XIE Dongcan. Research
on intra-city employment mobility in Shanghai: based
on cell phone data[J]. Chinese population science,
2016(1): 80-89.
[8]丁亮，钮心毅，宋小冬. 上海中心城区商业中心空
间特征研究[J]. 城市规划学刊，2017（1）：63-70.
DING Liang, NIU Xinyi, SONG Xiaodong. A study
on spatial characteristics of commercial centers in the
Shanghai central city[J]. Journal of Urban Planning,
2017(1): 63-70.
[9]高硕，王铭扬，鲁旭，等. 基于大数据的城市居民
职住锚点计算方法研究[J]. 西部人居环境学刊，
2017，32（1）：31-37.
GAO Shuo, WANG Mingyang, LU Xu, et al.
Research on residence-and-work anchor points
algorithm with big data in urban research[J]. Journal
of Western Habitat Environment, 2017, 32(1): 31-37.
[10]张健，陈明敏. 基于智能出行大数据的城市空间活
跃区分析及其应用[J]．规划师，2017（1）：65-72.
ZHANG Jian, CHEN Mingmin. Analysis and application of commerical active space base on
inteligent outgoing big data[J]. Planners, 2017(1):
65-72.
[11]郑晓伟．基于开放数据的西安城市中心体系识别
与优化[J]．规划师，2017（1）：57-64.
ZHENG Xiaowei. Identification and optimization of
Xi’an urban center system based on open data[J].
Planners, 2017(1): 57-64.
[12]上海市城市总体规划（2017—2035）. 上海城乡
发展战略数据平台（SDD）[R]. 2017.
Shanghai City Master Plan (2017-2035). Shanghai
urban-rural development strategy data platform (SDD)
[R]. 2017.
[13]IBM商业价值研究院，牛津大学赛德商学院. 分
析：大数据在现实世界中的应用[R]. 2013.
IBM Institute for Business Value, Sid College of
Oxford University. Analysis: big data in the real
world[R]. 2013.
[14]超图集团. 当GIS拥抱大数据[R]. 2017.
Supermap Group. When GIS embraces big data[R].
2017.
