Crowd-Machine Hybrid Urban Sensing and Computing

Computer ◽  
2021 ◽  
Vol 54 (4) ◽  
pp. 26-34
Author(s):  
Jiangtao Wang ◽  
Leye Wang ◽  
Yanhui Song
Keyword(s):  
Urban Sensing

scholarly journals Multipurpose Urban Sensing Equipment—An EPS@ISEP 2018 Project

2019 ◽  
pp. 415-427
Author(s):  
Mostafa Farrag ◽  
Damien Marques ◽  
Maria Bagiami ◽  
Maarten van der Most ◽  
Wouter Smit ◽  
...  
Keyword(s):  
Urban Sensing

scholarly journals Introduction to Urban Sensing

2021 ◽  
pp. 311-314
Author(s):  
Wenzhong Shi
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Indoor Positioning ◽  
User Generated Content ◽  
Light Detection And Ranging ◽  
Optical Remote Sensing ◽  
Interferometric Synthetic Aperture Radar ◽  
Wide Range ◽  
Urban Sensing ◽  
Ambient Sensing

AbstractThis chapter overviews the urban sensing technologies for unban informatics to be introduced in the subsequent chapters under Part III of this book. To be covered is a wide range of technologies for urban sensing from the space, the air, the ground, the underground, and on individuals, including optical remote sensing, interferometric synthetic aperture radar, light detection and ranging, photogrammetry, underground sensing, mobile mapping, indoor positioning, ambient sensing, and the use of user-generated content.

scholarly journals Pervasive Urban Sensing with Large-Scale Mobile Probe Vehicles

2013 ◽  
Vol 9 (2) ◽  
pp. 762503 ◽  
Author(s):  
Yanmin Zhu ◽  
Xuemei Liu ◽  
Yin Wang
Keyword(s):  
Large Scale ◽  
Probe Vehicles ◽  
Urban Sensing

scholarly journals Urban sensing as a random search process

2021 ◽  
Vol 562 ◽  
pp. 125307
Author(s):  
Kevin O’Keeffe ◽  
Paolo Santi ◽  
Brandon Wang ◽  
Carlo Ratti
Keyword(s):  
Random Search ◽  
Search Process ◽  
Urban Sensing

Community-Centered Urban Sensing

2019 ◽  
Vol 8 (4) ◽  
pp. 1-16 ◽  
Author(s):  
Andrew Mondschein ◽  
Zihao Zhang ◽  
Mona El Khafif
Keyword(s):  
Data Collection ◽  
Smart Cities ◽  
Urban Systems ◽  
University Of Virginia ◽  
Planning And Design ◽  
Data Collection And Analysis ◽  
Urban Planning And Design ◽  
Urban Sensing ◽  
The University ◽  
Urban Data

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.

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