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Addressing data gaps, investing in human resources, and using technologies provide policymakers with insights to make informed climate-related decisions.

Analysis of geographically granular data is essential to identify vulnerable areas and optimize resource distribution.

Leverage machine learning and satellite imagery for informed resource allocation to enhance road quality and address development challenges.

Leverage data integration, administrative data, and other targeted methods for data collection and analysis.

Pseudo-panel methods using repeated cross-sectional surveys, which are less costly and easier to do, may offer a solution to this problem.

Select the most appropriate measurement method—walking, digitization, or parcel corner GPS—based on specific local characteristics.