Survey Analysis of GeoAI Tool Perceptions for Urban Resilience

149 professionals from urban planning, geomatics, and AI evaluated three GeoAI tools for disaster preparedness and climate adaptation. ArcGIS Pro received the highest mean effectiveness score of 4.6 out of 5.0. The study, authored by Abdulrazzaq J. Alkherret and shared under CC-BY-4.0, identifies key adoption barriers including data quality (65%), integration issues (55%), cost (50%), and lack of training (45%).

Use Cases

• Analyze the influence of Perceived Usefulness and Perceived Ease of Use on technology adoption based on the Technology Acceptance Model framework.
• Compare user-reported effectiveness of ArcGIS Pro, CityEngine, and QGIS with AI plug-ins for urban resilience applications.
• Identify and quantify key barriers to GeoAI adoption, such as data quality and integration issues, based on survey results.
• Model the relationship between tool usability, perceived value, and professional adoption rates in geospatial contexts.

Strengths

• Survey results are based on responses from 149 professionals across relevant fields.
• Provides specific quantitative findings, including a mean effectiveness score of 4.6 for ArcGIS Pro and percentages for key adoption barriers.
• Applies a structured theoretical framework (Technology Acceptance Model) to analyze the data.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is a 1.3 MB DOCX file, which suggests the primary data may be embedded in a document format requiring extraction.

Provenance

Source

figshare

Collection Method

Survey of 149 professionals from urban planning, geomatics, and artificial intelligence.

Freshness

Last updated 2026-05-12 04:19:34; freshness should be verified.