Managing Riyadh’s Urban Growth: Evaluating Residents Satisfaction with Current Neighborhoods and Shaping Future Growth by Examining Smart Growth Strategy in the Context of Rapid Urbanization
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Date
2025-03-05
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Virginia Tech
Abstract
Rapid urbanization and expansion are among the most significant urban challenges facing
many major cities worldwide. Riyadh is one such city that has experienced rapid growth due to
the economic boom of past decades, which led to the establishment of numerous ministries and
company headquarters within the city. This growth resulted in the migration of many Saudi
residents to Riyadh, prompting the rapid construction of neighborhoods and residential
complexes to accommodate the increased population. However, this urban expansion occurred
without community participation in shaping urban decisions, leading to scattered urban
development. Today, Riyadh has set an ambitious target of accommodating about 10-15 million
residents (about 7.1 million currently) by 2030. Such a decision may introduce new urban
challenges for Riyadh. Accordingly, this study aims to first measure residents' satisfaction with
residential neighborhoods resulting from previous growth and assess whether these
neighborhoods provide all necessary services across various dimensions. Additionally, the study
seeks to test one strategy for managing growth by adopting the principles of smart growth and
understanding residents' preferences for this approach through proactive community involvement
in urban decision-making for the upcoming growth. This study used two electronically
distributed questionnaires to measure satisfaction with current neighborhoods and residents'
preferences. The results indicated dissatisfaction in most dimensions of the neighborhoods. They
also revealed residents' preference for many smart growth principles, with variations across the
different principles.
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Keywords
Rapid Urbanization, Residential Satisfaction, Urban Growth, Sprawl Control, Smart Growth, Neighborhood Preferences, Visual Preferences, Discrete Choice Experiments
