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This study aims to examine the determinants that influence housing prices in Dammam metropolitan area (DMA), Saudi Arabia, by using the analytic hierarchy process (AHP) model. The study considers determinants such as building age (BLD AG), building size (BLD SZ), building condition (BLD CN), access to parking (ACC PK), proximity to transport infrastructure (PRX TRS), proximity to green areas (PRX GA) and proximity to amenities (PRX AM).

The AHP decision model was used to assess the determinants of housing prices in DMA, using a pair-wise comparison matrix to determine the influence of the investigated factors on housing prices.

The study’s results revealed that building size (BLD SZ) was the most critical determinant affecting housing prices in DMA, with a weight of 0.32, trailed by proximity to transport infrastructure (PRX TRS), with a weight of 0.24 as the second most influential housing price determinant in DMA. The third most important determinant was proximity to amenities (PRX AM), with a weight of 0.18.

This study addresses a research gap by using the AHP model to assess the spatial determinants of housing prices in DMA, Saudi Arabia. Few studies have used this model in examining housing price factors, particularly in the context of Saudi Arabia. Consequently, the findings of this study provide unique insights for policymakers, housing developers and other stakeholders in understanding the importance of building size, proximity to transport infrastructure and proximity to amenities in influencing housing prices in DMA. By considering these determinants, stakeholders can make informed decisions to improve housing quality and prices in the region.

The Saudi 2030 Housing Program Vision aims to increase the population of Riyadh City, the capital of the Kingdom of Saudi Arabia, to between 15 and 20 million people. This paper aims to predict the demand for residential units in Riyadh City by 2030 in line with this vision.

This paper adopts a statistical modeling approach to estimate the residential demands for Riyadh City. Several population growth models, including the nonlinear quadratic polynomial spline regression model, the sigmoidal logistic power model and the exponential model, are tested and applied to Riyadh to estimate the expected population in 2030. The growth model closest to the Kingdom’s goal of reaching between 15 and 20 million people in 2030 is selected, and the paper predicts the required number of residential units for the population obtained from the selected model. Desktop database research is conducted to obtain the data required for the modeling and analytical stage.

The exponential model predicts a population of 16,476,470 in Riyadh City by 2030, and as a result, 2,636,235 household units are needed. This number of housing units required in Riyadh City exceeds the available residential units by almost 1,370,000, representing 108% of the available residential units in Riyadh in 2020.

This study provides valuable insights into the demand for residential units in Riyadh City by 2030 in line with the Saudi 2030 Housing Program Vision, filling the gap in prior research. The findings suggest that significant efforts are required to meet the housing demand in Riyadh City by 2030, and policymakers and stakeholders need to take appropriate measures to address this issue.

The purpose of this study is to assess the perceptions of Imam Abdulrahman Bin Faisal University's students and their household members about cultural heritage conservation in selected cities of Saudi Arabia. Cultural heritage conservation is increasingly important for sustainable tourism management, especially in Saudi Arabia that sets out to promote international tourism. However, a lack of awareness of heritage values among the local community could hinder the conservation efforts.

A structured questionnaire (n = 168) was employed for data collection and analyzed using descriptive and inferential statistics.

The finding of the t-test analysis indicates significant statistical relationship between occupation and community involvement (P (T ≤ t) one-tail = 0.0047 and two-tail = 0.0093, p < 0.05), and between educational level and community involvement (P (T ≤ t) one-tail = 0.0047 and two-tail = 0.0093, p < 0.05). The findings reveal that although almost more than half (54.2%) of the participants were students, 56.0% and 54.9% did not believe in participating and considering heritage conservation a national duty, respectively, while 57.1% of the public employees, 57.6% of the private employees, and 66.7% of the housewives indicate that they can personally participate in cultural heritage conservation and believed it to be a national duty.

The study concludes that cultural heritage courses should be offered as a core courses for college students in order to instill the importance of cultural heritage conservation in their minds.