Analysis and Study of Smart Growth

2025-09-03

AI Summary

To address urban sprawl, this study develops a Smart Growth Index (SGI) and an integrated Economy–Society–Environment (3E) evaluation framework, combining an improved entropy weight method with trend extrapolation modeling to assess sustainability, simulate development scenarios, and forecast growth trajectories in Wuwei County (China) and Colima (Mexico). It innovatively incorporates population-growth scenario analysis and Transit-Oriented Development (TOD) optimization to bridge smart growth theory with evidence-based policy design. Results indicate that Wuwei exhibits significantly higher sustainable development potential than Colima; both regions maintain trajectory resilience even under a 50% population increase. The study proposes region-specific policy recommendations and establishes a transferable methodological framework and practical paradigm for cross-regional smart growth assessment.

Technology Category

• Search and Optimization: Evaluation and Analysis
• Game Theory and Economic Paradigms: Cooperative Game Theory
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

• Web Mining and Content Analysis: Models for Web evolution
• Economics, Online Markets and Human Computation: Sustainability of Web economics
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics

Abstract

In the mid-1990s, the concept of smart growth emerged in the United States as a critical response to the phenomenon of suburban sprawl. To promote sustainable urban development, it is necessary to further investigate the principles and applications of smart growth. In this paper, we propose a Smart Growth Index (SGI) as a standard for measuring the degree of responsible urban development. Based on this index, we construct a comprehensive 3E evaluation model (covering economic prosperity, social equity, and environmental sustainability) to systematically assess the level of smart growth. For empirical analysis, we selected two medium-sized cities from different continents: Wuhu County, China, and Colima, Mexico. Using an improved entropy method, we evaluated the degree of smart growth in recent years and analyzed the contributions of various policies to sustainable urban development. Guided by the ten principles of smart growth, we further linked theoretical insights to practical challenges and formulated a development plan for both cities. To forecast long-term trends, we employed trend extrapolation based on historical data, enabling the prediction of SGI values for 2020, 2030, and 2050. The results indicate that Wuhu demonstrates greater potential for smart growth compared with Colima. We also simulated a scenario in which the population of both cities increased by 50 percent and re-evaluated the SGI. The analysis suggests that while rapid population growth tends to slow the pace of smart growth, it does not necessarily exert a negative impact on the overall trajectory of sustainable development. Finally, we conducted a study on the application of Transit-Oriented Development (TOD) theory in Wuhu County and proposed several policy recommendations aimed at enhancing the city's sustainable urban development.

Problem

• Developing a Smart Growth Index to measure responsible urban development
• Assessing smart growth levels using a comprehensive 3E evaluation model
• Analyzing policy impacts on sustainable development in medium-sized cities

Innovation

• Smart Growth Index (SGI) for urban development measurement
• 3E evaluation model covering economic, social, environmental aspects
• Improved entropy method for empirical analysis and forecasting