Community Climate Intelligence for Neighborhood-Level Adaptation Planning

Helena Marquez

Community Climate Intelligence for Neighborhood-Level Adaptation Planning

Author(s)	Dr. Helena Marquez
Country	United States
Abstract	Climate adaptation decisions are frequently formulated at municipal or metropolitan scales, although climate hazards and adaptive capacities can differ substantially among neighborhoods within the same city. This spatial mismatch can obscure localized heat exposure, drainage deficiencies, infrastructure fragility, socially differentiated vulnerability, and community knowledge that are critical for effective adaptation planning. The present study develops a Community Climate Intelligence Index (CCII) as a neighborhood-scale decision-support framework that combines quantitative climate-risk indicators with community-generated information. Because no primary field dataset was supplied, the study adopts a transparent simulation-based design and does not represent synthetic observations as empirical neighborhood measurements. A reproducible dataset of 120 hypothetical neighborhoods was generated using five analytical dimensions: climate-hazard exposure, social sensitivity, infrastructure fragility, adaptive-capacity gap, and community-observation signals. The dimensions were integrated through a weighted composite index, after which neighborhoods were organized into comparative adaptation-priority tiers. The model was further used to associate neighborhood conditions with five broad intervention classes: heat-health and cooling measures, stormwater and flood control, green-blue infrastructure, building resilience, and warning and community-response systems. Results showed a systematic increase in climate-risk characteristics across the CCII priority quartiles. Mean CCII values increased from 44.7 in the lower-priority quartile to 66.2 in the very-high-priority quartile. The very-high-priority group also displayed greater mean hazard exposure, social sensitivity, infrastructure fragility, adaptive-capacity gaps, and community-observation signals than the lower-priority group. The intervention-selection simulation demonstrated that neighborhood climate intelligence can differentiate adaptation needs rather than applying a uniform citywide package of measures. The proposed framework contributes an operational bridge between geospatial climate information, social vulnerability assessment, infrastructure diagnostics, and participatory neighborhood knowledge. It is intended as a methodological prototype requiring validation with observed climatic, socioeconomic, infrastructure, public-health, and resident-generated data before operational use. The framework offers planners a structured approach for identifying micro-scale climate vulnerabilities, prioritizing limited adaptation resources, strengthening community participation, and establishing iterative monitoring systems for neighborhood-level climate resilience.
Keywords	community climate intelligence; neighborhood adaptation; climate resilience; participatory planning; climate vulnerability; urban climate; GIS; local knowledge; adaptation planning; environmental justice
Field	Engineering
Published In	Volume 2, Issue 2, March-April 2021
Published On	2021-03-24

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American Journal of Advanced Multidisciplinary Innovation and Research

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Community Climate Intelligence for Neighborhood-Level Adaptation Planning

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