Analysis and Study of Smart Growth

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.

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ArXiv.org
Published
2025-09-03
Primary Topic
Geochemistry and Geologic Mapping
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Analysis and Study of Smart Growth

ArXiv.org
Geochemistry and Geologic Mapping
article

Analysis and Study of Smart Growth

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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.

ArXiv.org
Sustainable cities and communities
Openalex Percentile: Top 48%
Geochemistry and Geologic Mapping
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Analysis and Study of Smart Growth · ArXiv.org (2025) | TGRS Research Map | TGRS