Development-led low-rise housing in Dubai: translating resident satisfaction into design and planning insights

Introduction In a globalizing world, countries continuously strive to enhance quality of life (QoL). This study focusses on the well-being of residents in gated communities in the UAE, focusing on satisfaction with residential units and their communities. QoL, often seen as subjective, is quantified here by transforming qualitative perceptions into measurable data. Methods An online survey assesses satisfaction based on indicators like residential unit features and community amenities. Using linear regression analysis with SAS 9.4, two models are developed: one for residential unit satisfaction and another for community satisfaction. The study also considers demographics such as gender, income, and unit size. Results Results reveal kitchen and bedroom sizes significantly impact residential unit satisfaction, with p-values of 0.03 and 0.05, respectively. For community satisfaction, facility availability is the most influential factor, with a p-value of 0.03. Comparative analysis shows residents of communities like Motor City Green and Arabian Ranches report higher satisfaction due to larger built-up areas and abundant community facilities. Discussion These findings provide practical guidance for developers and urban planners by identifying priority design and community attributes that can enhance residents’ quality of life while supporting evidence-based decision-making in development-led residential projects aligned with Dubai’s 2040 vision.

Authors

Institutions

Publication Details

Journal
Frontiers in Built Environment
Published
2026-03-03
DOI
https://doi.org/10.3389/fbuil.2026.1754687
Primary Topic
Place Attachment and Urban Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development-led low-rise housing in Dubai: translating resident satisfaction into design and planning insights

Abdullah Gokhan Yilmaz, Salwa Beheiry, Nour Abdel Hamid, Serter Atabay et al.
Frontiers in Built Environment
Place Attachment and Urban Studies
article

Development-led low-rise housing in Dubai: translating resident satisfaction into design and planning insights

Abdullah Gokhan Yilmaz, Salwa Beheiry, Nour Abdel Hamid, Serter Atabay, Hussam Safieh, Sabreen Dar Amer, Fayqa Akram
article en

Abstract

Introduction In a globalizing world, countries continuously strive to enhance quality of life (QoL). This study focusses on the well-being of residents in gated communities in the UAE, focusing on satisfaction with residential units and their communities. QoL, often seen as subjective, is quantified here by transforming qualitative perceptions into measurable data. Methods An online survey assesses satisfaction based on indicators like residential unit features and community amenities. Using linear regression analysis with SAS 9.4, two models are developed: one for residential unit satisfaction and another for community satisfaction. The study also considers demographics such as gender, income, and unit size. Results Results reveal kitchen and bedroom sizes significantly impact residential unit satisfaction, with p-values of 0.03 and 0.05, respectively. For community satisfaction, facility availability is the most influential factor, with a p-value of 0.03. Comparative analysis shows residents of communities like Motor City Green and Arabian Ranches report higher satisfaction due to larger built-up areas and abundant community facilities. Discussion These findings provide practical guidance for developers and urban planners by identifying priority design and community attributes that can enhance residents’ quality of life while supporting evidence-based decision-making in development-led residential projects aligned with Dubai’s 2040 vision.

Frontiers in Built EnvironmentVol. 12
Cleveland State University (US), La Trobe University (AU), American University of Sharjah (AE)
American University of Sharjah
Openalex Percentile: Top 43%
Place Attachment and Urban Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.