Evaluation of perceptual image of large cities for infrastructural modification and its use as a guide for future town planning

The visual elements of a city play an important role in shaping the perceptual image of the city among its residents and visitors. However, with rapid urbanization in developing countries, issues have emerged that affect the formation of a clear image of the city, including transient and weak elements and a lack of integration among them. In Saudi Arabia, large cities such as Riyadh, Jeddah, and Dammam have recently witnessed rapid growth, with the likely consequences on their image. Despite the awareness of the importance of studying the image of cities among residents, it has been a neglected field for quite some time. Therefore, the purpose of this study is to explore how residents and visitors of large Saudi cities perceive the spatial elements and how important they consider the attributes of these elements towards forming a clear perceptual image. Data were collected using a questionnaire survey that was carried out in three Saudi cities: Riyadh, Jeddah, and Dammam. The statistical analysis, including hypothesis testing and ANOVA results show that a clear perception of the elements has the same trend as satisfaction with living in the cities under study. The results are validated by performing normality and homogeneity of the data. The clarity of the elements is found to be low in all the cities, but there are significant differences, and a strong pattern of such differences emerges as a conclusion. The research proves to be beneficial for the modification of the infrastructural planning and management flaws pointed out in the study and also it shall be helpful in town planning and design of new cities.

Authors

Institutions

Publication Details

Journal
Alexandria Engineering Journal
Published
2026-07-25
DOI
https://doi.org/10.1016/j.aej.2026.07.007
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of perceptual image of large cities for infrastructural modification and its use as a guide for future town planning

Ali Alqahtany, K.M. Maniruzzaman
Alexandria Engineering Journal
Remote Sensing and Land Use
article

Evaluation of perceptual image of large cities for infrastructural modification and its use as a guide for future town planning

Ali Alqahtany, K.M. Maniruzzaman
article en

Abstract

The visual elements of a city play an important role in shaping the perceptual image of the city among its residents and visitors. However, with rapid urbanization in developing countries, issues have emerged that affect the formation of a clear image of the city, including transient and weak elements and a lack of integration among them. In Saudi Arabia, large cities such as Riyadh, Jeddah, and Dammam have recently witnessed rapid growth, with the likely consequences on their image. Despite the awareness of the importance of studying the image of cities among residents, it has been a neglected field for quite some time. Therefore, the purpose of this study is to explore how residents and visitors of large Saudi cities perceive the spatial elements and how important they consider the attributes of these elements towards forming a clear perceptual image. Data were collected using a questionnaire survey that was carried out in three Saudi cities: Riyadh, Jeddah, and Dammam. The statistical analysis, including hypothesis testing and ANOVA results show that a clear perception of the elements has the same trend as satisfaction with living in the cities under study. The results are validated by performing normality and homogeneity of the data. The clarity of the elements is found to be low in all the cities, but there are significant differences, and a strong pattern of such differences emerges as a conclusion. The research proves to be beneficial for the modification of the infrastructural planning and management flaws pointed out in the study and also it shall be helpful in town planning and design of new cities.

Alexandria Engineering JournalVol. 151
Imam Abdulrahman Bin Faisal University (SA)
Sustainable cities and communities
Openalex Percentile: Top 12%
Remote Sensing and Land Use
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.