scholarly journals Linking Complex Urban Systems: Insights from Cross-Domain Urban Data Analysis

2019 ◽  
pp. 221-239
Author(s):  
Lelin Zhang ◽  
Bang Zhang ◽  
Ting Guo ◽  
Fang Chen ◽  
Peter Runcie ◽  
...  
2019 ◽  
Vol 8 (4) ◽  
pp. 1-16 ◽  
Author(s):  
Andrew Mondschein ◽  
Zihao Zhang ◽  
Mona El Khafif

The authors examine the problem of integrating urban sensing into engaged planning. The authors ask whether enhanced urban data and analysis can enhance resident engagement in planning and design, rather than hinder it, even when current urban planning and design practices are dysfunctional. The authors assess the outcomes of a planning and design effort in Charlottesville, Virginia, USA. Community-Centered Urban Sensing is a participatory urban sensing initiative developed by urban planners and designers, architects, landscape architects, and technologists at the University of Virginia to address the need for actionable information on the urban environment through community-engaged urban data collection and analysis. These findings address how technological urbanism moves from data to action, as well as its potential for marginalization. Finally, the authors discuss a conceptualization of smart and engaged planning that accounts for urban dysfunction. The smart cities paradigm should encompass modes and methods that function even when local urban systems are dysfunctional.


2018 ◽  
Vol 7 (7) ◽  
pp. 264 ◽  
Author(s):  
Ningyu Zhang ◽  
Shumin Deng ◽  
Huajun Chen ◽  
Xi Chen ◽  
Jiaoyan Chen ◽  
...  

Author(s):  
Xinghao Yang ◽  
Wei Liu

Estimations on people movement behaviour within a country can provide valuable information to government strategic resource plannings. In this paper, we propose to utilize multi-domain statistical data to estimate people movements under the assumption that most population tend to move to areas with similar or better living conditions. We design a Multi-domain Matrix Factorization (MdMF) model to discover the underlying consistency patterns from these cross-domain data and estimate the movement trends using the proposed model. This research can provide important theoretical support to government and agencies in strategic resource planning and investments.


2020 ◽  
Vol 27 (3) ◽  
pp. 8-11
Author(s):  
Weiqing Min ◽  
Yonghong Tian ◽  
Zi Huang ◽  
Wen-Huang Cheng ◽  
Abdulmotaleb El Saddik

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