| dc.description.abstract | Automation or digital transformation have
become essential in various disciplines and
organizations, including urban flood management.
Urban floods are recurring natural disasters that can be
mitigated through engineering solutions, but their
management involves stakeholders from model
developers to decision makers. Therefore, automating
urban hydrological models presents challenges related to
data integration, interdisciplinary requirements, and the
usability of tools for non-technical decision makers. This
research focuses on the understand the perspectives of
computing professionals in urban flood management
automation. A survey-based analysis was conducted
using a questionnaire to understand the current practices
and knowledge areas relevant to multi-model
automation. The questionnaire was developed following
a systematic methodology and validated through expert
panels. The data collected from 44 computing
professionals were analysed using trapezoidal
membership function of fuzzy logic to determine their
perspectives on various aspects of automation. The study
identified eight independent variables such as,
stakeholders' and developers' responsibilities, business
rules, multi-model automation, calibration and
verification of models, usability, security, multiple
models in a single tool scenario, and automation
frameworks. The findings provide insights into the gaps
of unviability of HydroGIS tool development framework
and satisfactory practices in urban flood management
automation. The results urge to develop a suitable
framework to HydroGIS tool automation and suitable
guidelines and procedures to computing professionals in
urban flood management projects. | en_US |
