Smart Cities Designed by Smart Communities: An Engaged Approach to Develop a Sociotechnical Network
Publication: World Environmental and Water Resources Congress 2023
ABSTRACT
In the process of developing a smart city framework, sensor data are crucial to enable cities and communities to make informed decisions on future plans. Involving community-based organizations and residents is an integral component of this process to ensure equity and accessibility of data. This study aims to develop a sociotechnical network to (1) identify vulnerability zones; (2) measure data on flooding, air, and water quality; and (3) inform community members and decision-makers through a data dashboard. A small coastal town in the Texas Coastal Bend region is utilized as a case study. Methodologically, this study utilizes participatory action research to frame a mixed-methods approach toward developing a data dashboard. This research project is a practical guide for engaged scholars in the social sciences, engineering, and urban design fields. The outcomes include recommendations for the engaged community and provide a data-dashbord targeting academic and non-academic audiences, residents, and decision-makers.
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Published In
World Environmental and Water Resources Congress 2023
Pages: 797 - 806
History
Published online: May 18, 2023
ASCE Technical Topics:
- Air pollution
- Air quality
- Business management
- Case studies
- Data collection
- Engineering fundamentals
- Environmental engineering
- Hydrologic data
- Hydrologic engineering
- Hydrology
- Infrastructure
- Methodology (by type)
- Pollution
- Practice and Profession
- Research methods (by type)
- Social factors
- Urban and regional development
- Urban areas
- Water and water resources
- Water quality
- Water treatment
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Cited by
- Oswald Jenewein, Scott Bojanowski, Michelle A. Hummel, Karabi Bezboruah, Urban Coastlines at Risk: Identifying Physical, Social, and Sociophysical Vulnerability Drivers in Texas’ Coastal Bend, World Environmental and Water Resources Congress 2024, 10.1061/9780784485477.111, (1250-1256), (2024).