Revitalizing historic districts: Identifying built environment predictors for street vibrancy based on urban sensor data

Cities ◽  
2021 ◽  
Vol 117 ◽  
pp. 103305
Author(s):  
Miaoyi Li ◽  
Jixiang Liu ◽  
Yifei Lin ◽  
Longzhu Xiao ◽  
Jiangping Zhou
2020 ◽  
Vol 10 (9) ◽  
pp. 234
Author(s):  
Shawn Rowe ◽  
Mariapaola Riggio ◽  
Raffaele De Amicis ◽  
Susan R. Rowe

This paper discusses elementary, and secondary (K-12) teachers’ perceptions of cross-reality (XR) tools for data visualization and use of sensor data from the built environment in classroom curricula. Our objective was to explore the use of sensor-informed XR in the built environment and civil engineering (BECE) field to support K-12 science, technology, engineering, and mathematics (STEM) experiential learning and foster BECE-related career awareness. We conducted surveys and informal questionnaires with 33 primary and secondary teachers attending an annual two-day university-based teacher professional development workshop as part of a statewide STEM afterschool program serving students in rural communities. We assessed teachers’ familiarity with, knowledge about, and appraisal of using cross-reality platforms and sensor data in classrooms and after school curricula. Findings show that, while all teachers reported relatively high interest in learning about sensor applications and innovative interactive techniques, middle school teachers in particular were most likely to see value in using these applications for teaching and learning. Implications for teacher professional development are discussed.


2021 ◽  
pp. 147807712110251
Author(s):  
Bige Tunçer ◽  
Francisco Benita

This article introduces a methodology to implement Data-driven Thinking in the context of urban design. We present the results of a case study based on a 7-day workshop with 10 participants with landscape design and architecture background. The goal of the workshop was to expose participants to Data-driven Thinking through experimental design, multi-sensor data collection, data analysis, visualization, and insight generation. We evaluate their learning experience in designing an experimental setup, collecting real-time immediate environmental and physiological body reactions data. Our results from the workshop show that participants increased their knowledge about measuring, visualizing and understanding data of the surrounding built environment.


2009 ◽  
Author(s):  
Bradley M. Davis ◽  
Woodrow W. Winchester ◽  
Jason D. Zedlitz
Keyword(s):  

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Zhao Gao ◽  
Min Yang ◽  
Guoqiang Li ◽  
Jinghua Tai

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