Table 1_Deconstructing urban flooding from the perspective of vulnerable communities in No

Mushtaq Ahmad Jan's study deconstructs urban flooding in Peshawar, Pakistan, using a mixed-methods approach. Qualitative data from 89 participants is synthesized with quantitative geospatial analyses of land-use change and flood exposure. The dataset, last updated in April 2026, documents impervious surface growth from 39.60% in 2017 to 59.96% in 2025 and identifies 11.57 km² of high flood exposure.

Use Cases

• Modeling urban flood risk based on documented land-use change and hydrological response.
• Triangulating community-identified flood patterns with geospatial exposure assessments.
• Analyzing the impact of governance and anthropogenic factors on flood vulnerability.

Strengths

• Provides specific quantitative metrics, including impervious surface percentages for 2017, 2020, and 2025.
• Integrates qualitative insights from 89 participants with geospatial analysis for triangulation.
• Quantifies flood exposure area, with 11.57 km² classified as 'Very High' or 'High'.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 231.3 KB file size suggests the dataset's scope is limited, likely containing a study document rather than raw data tables.

Provenance

Source

Mushtaq Ahmad Jan via figshare.

Collection Method

Mixed-methods approach using Focus Group Discussions, In-depth Interviews, and geospatial analysis of Land-Use/Land-Cover change.

Time Range

Geospatial analysis covers 2017 to 2025.

Freshness

Last updated 2026-04-13 04:35:44.

Geography

Bhudni Nullah Basin in Peshawar, Northwestern Pakistan.