Long Ying, Cao Zhejing

Keywords： Data Augmented Urban Design; Urban Sensor; Online Platform; Spatial Intervention; Hengfu Historical District in Shanghai

Abstract：

The burst of urban big data has deepened people’s perception of urban context. However, the construction of smart-city infrastructure and urban sensors implies the opportunity of delicate depiction of existing situation and post-positioned feedback of the implementation of planning and design. The online platform not only vividly displays various city information, but also creates the channel for feedback of new demands of urban life, and facilitates the interaction of the roles and stakeholders. This paper proposes the framework of self-feedback urban design based on urban sensors and online platform. Firstly, it introduces the workflow, data inventory, urban sensor category, online platform modules and application scenarios. Secondly, this methodology is applied to urban design of Hengfu Historical District in Shanghai, with a comprehensive online platform combining the modules of slow-traffic data collection and analysis platform, human observational data platform, human activity track platform, design and project display platform, public participation platform, spatial interaction carpet platform. At last, the opportunities and challenges of this self-feedback urban design methodology are further discussed.

Funds：

• [1] 龙瀛, 沈尧. 数据增强设计——新数据环境下的规划设计回应与改变[J].上海城市规划, 2015(2): 81-87.

  [2] 龙瀛. 数据增强设计最新研究进展及其教学实践 [J]. 理想空间, 2016(8): 04-07.

  [3] 甘欣悅, 龙瀛. 新数据环境下的量化案例借鉴方法及其规划设计应用[J/OL]. 国际城市规划. (2017-07-20). http://kns.cnki.net/kcms/detail/11.5583.tu.20170720.1115.001.html.

  [4] 曹哲静, 龙瀛. 数据自适应城市设计的方法与实践——以上海衡复历史街区慢行系统设计为例[J]. 城市规划学刊, 2017(4): 47-55.

  [5] 盛强 .“ 数据游骑兵”实用战术解析: 空间句法在短期城市设计工作营设计教学中的应用[J]. 时代建筑, 2016(2): 140-145.

  [6] 徐磊青, 马晨, 周峰, 等. 轨交站域的人流、商业与城市设计——以上海“静安寺站”和“中山公园站”为例[J]. 建筑学报, 2015(S1): 60-65.

  [7] 储妍, 茅明睿, 高硕, 等. 数据如何驱动设计——以回龙观社区品质提升为例[J]. 规划师, 2017, 33(2): 81-89.

  [8] 茅明睿, 储妍, 张鹏英, 等. 人迹地图：数据增强设计的支持平台[J]. 上海城市规划, 2016(3): 22-29, 89.

  [9] 杨俊宴, 曹俊. 动· 静· 显· 隐：大数据在城市设计中的四种应用模式[J]. 城市规划学刊, 2017(4): 39-46.

  [10] 龙瀛, 叶宇. 人本尺度城市形态：测度、效应评估及规划设计响应[J]. 南方建筑, 2016(5): 39-45.

  [11] 龙瀛, 沈尧. 大尺度城市设计的时间、空间与人（TSP）模型——突破尺度与粒度的折中[J]. 城市建筑, 2016(6): 33-37.

  [12] 周榕, 杜頔康. 周榕：互联网是新的城市, 城市就是曾经的乡村[J]. 住区, 2017(1): 114-119.

  [13] BATTY Michael. Big data, smart cities and city planning. Dialogues in Human Geography 3.3 (2013): 274-279.

  [14] BATTY Michael. Urban informatics and big data. ESRC (The UK Economic and Social Research Council) Cities Expert Group, 2013.

  [15] MAZHAR M Rathore, AWAIS Ahmad, ANAND Paul, et al. Urban planning and building smart cities based on the internet of things using big data analytics[J]. Computer Networks, 2016, 101: 63-80.

  [16] VAKALI Athena, ANTHOPOULOS Leonidas, KRCO Srdjan. Smart cities data streams integration: experimenting with internet of things and social data flows[C]. Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14), 2014: 60.

  [17] FRENCH Steve, BARCHERS Camille, ZHANG Wenwen. Moving beyond operations: leveraging big data for urban planning decisions[C]. 56th Annual Conference of Association of College Schools of Planning (ACSP), Portland, OR, 2015.