A SHOWeD-Framed Photovoice Dataset of Citizen Scientist Narrative Reflections on Perceived Urban Thermal Hotspots and Coldspots

Published: 26 May 2026| Version 1 | DOI: 10.17632/bbh3kshnpd.1
Contributor:
Zulfaqar Sa'adi

Description

This dataset comprises structured qualitative textual reflections generated by citizen scientists evaluating the urban microclimate of a tropical university campus. Utilizing an adapted Photovoice and SHOWeD speculative reflection framework, participants documented paired environmental extremes: perceived Hotspots and perceived Coldspots. The data is organized as a textual matrix mapping environmental exposure to human cognitive, emotional, and behavioral feedback across five standardized prompts: S (See): Objective visual inventory of the immediate physical landscape (e.g., asphalt pavements, vehicle clusters, concrete hardscapes vs. dense canopies, grass, and lake systems). H (Hear/Happening): Direct sensory and physiological appraisal of ambient thermal loads and microclimatic parameters (e.g., experiencing 33°C ambient heat, solar radiation traps, or microclimatic relief). O (Our lives): Human-centric impact assessment capturing the "Cognitive Tax" of thermal stress, including high-arousal negative affective states (clinical distress, agitation, fatigue, dehydration) versus the restorative properties of biophilic cooling (relaxation, comfort, enhanced productivity). W (Why): Causal attribution modeling where participants identify the structural root causes of environmental conditions (e.g., architectural dependency on heat-absorbent materials, lack of vegetative shading, or successful landscape planning). eD (Engineering Design / Evaluation): Prescriptive, action-oriented engineering and biophilic policy recommendations aimed at microclimatic mitigation (e.g., reflective coatings, shaded walkways, water body management, and urban forestry expansion).

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Linguistics, Education, Adaptation, Climate, Cognitive Linguistics, Global Warming, Co-Creation

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