# UNDP Accelerates Research on Sustainable CBD Transformation

> The United Nations Development Programme (UNDP) leveraged Dcipher Analytics’ Research Agent solution to identify global best practices and key performance indicators for sustainable and low-carbon central business district (CBD) development. Using AI-driv

- URL: https://www.dciphernext.com/customer-success-stories/undp-accelerates-research-on-sustainable-cbd-transformation-with-dcipher-analytics
- Published: 2025-04-04
- Updated: 2025-04-22
- Tags: Automated Online Research

# UNDP Accelerates Research on Sustainable CBD Transformation with Dcipher Analytics

## The Challenge
The United Nations Development Programme (UNDP) sought to identify international best practices for low-carbon and sustainable urban transformation of central business districts (CBDs). Their objectives were twofold:
1. Mapping Leading Cases – Identifying CBDs worldwide that had successfully implemented sustainability initiatives.
2. Extracting Key Performance Indicators (KPIs) – Analyzing the metrics used to measure the impact of these transformations.

Traditionally, this type of research would require months of manual literature review, data collection, and analysis—an extensive and time-consuming effort.

## The Solution
By leveraging Dcipher Analytics’ AI-powered research agents, UNDP was able to streamline and accelerate their research process:
- Instead of manually searching for relevant CBDs, the platform automatically identified 100 relevant cities for the study.
- To determine key sustainability dimensions, Dcipher Analytics conducted AI-driven content analysis of academic and policy literature, identifying seven critical areas, including infrastructure, technology, public-private partnerships, waste management, green spaces, and traffic control.
- The platform then executed automated research across 700 city-dimension combinations, extracting relevant policies, KPIs, and initiatives from government websites, news articles, and reports.

## The Results
- 468 case studies were generated, providing structured insights on sustainability efforts across different CBDs.
- From these, 50 notable best practices were identified as exemplary models for sustainable urban transformation.
- The platform also analyzed recurring themes to highlight key success factors across all sustainability dimensions.

## The Impact
By using Dcipher Analytics, UNDP dramatically reduced the time and effort required for this research, transforming a months-long project into an efficient, AI-powered analysis. These insights enabled UNDP to support local governments in adopting best practices for low-carbon and sustainable CBD development, driving impactful policy decisions and urban transformations worldwide.

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