Year: 2025
Type: article
Abstract: With the increasing severity of global climate change, environmental planning plays an important role in addressing climate change and promoting sustainable development. In this context, data analysis, as a key technology, is particularly important in environmental planning, providing precise data support for policy makers and helping to identify potential risks and opportunities. However, there are still many challenges in the practical application of data analysis in the field of environmental planning, such as inconsistent data quality, lack of professional talents, and incomplete data governance and communication systems. This article analyzes the specific application of data analysis in climate policy formulation, proposes measures such as building a sound data quality control system, cultivating professional talents with cross disciplinary knowledge, implementing climate adaptive planning schemes, optimizing data governance and sharing mechanisms, etc., in order to promote the effective application of data analysis technology in the field of climate policy.
DOI: 10.54691/b1zf4g25
Author: Bin Li
Institution: Columbia University
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: diamond
OpenAlex ID: W4407835461