A comparative topological investigation into the spatial structure of residential street networks across the Sultanate of Oman has identified measurable structural differences separating pre-1984 traditional settlements from post-1984 modern residential districts. Published by researchers Gustavo Maciel Gonçalves, Gustavo De Siqueira, Amal Al Balushi, and Adam Nadolny in the journal City, Territory and Architecture, the study demonstrates that traditional Omani neighborhoods maintain significantly greater network connectivity, substantially shorter street segments, and slightly elevated average integration values compared to modern subdivisions. These spatial metrics highlight a structural divergence between the organic urban fabrics built prior to centralized modernization policies and the planned grid networks constructed over recent decades. Utilizing segment-based computational modeling rooted in Space Syntax theory, the authors systematically quantified how modern land-use regimes altered the geometric and topological parameters of local street layouts, documenting a clear transition from fine-grained pedestrian movement systems toward coarse, vehicle-oriented configurations across the sampled settlements.

The historical backdrop of this urban restructuring centers on the Omani Renaissance initiated in 1970 under the late Sultan Qaboos bin Said, an era marked by rapid economic modernization driven by oil revenues and the formal establishment of centralized spatial planning institutions. Prior to this period, regional human settlements throughout northern Oman, including coastal fishermen strongholds such as Muttrah and Seeb, developed as tribally organized, dense, and interconnected villages with localized building traditions. Centralized planning entities did not direct these historical layouts, which relied instead on localized and tribal-hierarchical knowledge. The decisive institutional catalyst for spatial change arrived with Royal Decree 81/84 in 1984, establishing the Land Lottery System. Under this decree, Omani citizens reaching twenty-three years of age became eligible to receive randomly allocated, free public land plots measuring 600 square meters regardless of income, marital status, or prior landholdings.

Alongside the 600-square-meter allotment policy, modern municipal building codes mandated the construction of detached single-family residential dwellings surrounded by perimeter privacy walls, establishing what architectural scholars classify as the villa typology. In the Muscat Capital Area, this transformation spurred an estimated 600 percent expansion in the city’s built land footprint, characterized by functionally segregated, residential-only zones that entrenched dependency on private motor vehicles. Sociodemographic surveys highlighted by the authors indicate that while average household plot sizes more than tripled, average family sizes concurrently decreased. Furthermore, the functional composition of neighborhood land altered dramatically: non-residential and public or semi-public spaces, including street rights-of-way, previously accounted for roughly 35 percent of traditional settlements, whereas modern neighborhoods dedicate approximately 60 percent of their spatial area to such allocations. However, despite this greater quantitative allocation of non-residential surface area, high perimeter walls and wide thoroughfares perceptually privatized adjacent sidewalks, disrupting the walkable, communal character that previously defined historical settlement patterns.

To evaluate these spatial transformations quantitatively, the researchers adopted Space Syntax methodology, a specialized analytical framework developed within urban network science to evaluate spatial configurations and their capacity to direct human movement. Within this computational paradigm, street networks are represented through angular segment models, where each individual line segment corresponds to a street section bounded by two consecutive intersections. Rather than relying on simple geometric distance, segment-based angular analysis models route navigation by measuring cumulative deflection angles, reflecting the cognitive ease with which pedestrians and drivers navigate turns and direction changes. The authors evaluated three distinct morphological categories: connectivity, which measures local network density and immediate route options; geometry, which measures physical segment lengths; and centrality, which evaluates relative spatial accessibility and through-movement potential across the broader network. The investigation explicitly interprets these mathematical variables as configurational affordances of movement potential rather than direct field counts of observed pedestrian volumes.

The study deployed an exploratory comparative case-study design examining six settlements selected according to the 1984 institutional threshold, dividing the sample evenly into three Traditional Areas and three Modern Areas. To prevent edge-effect distortions in centrality calculations, the researchers applied an asymmetric boundary strategy: a 500-meter buffer was incorporated around the modern districts to simulate the influence of surrounding contiguous urban street grids before statistical clipping, whereas traditional settlements were modeled without an external buffer to avoid distorting historical networks with recently constructed bypass roads and contemporary peripheral additions.

Data construction required manual extraction and rigorous verification of road centerlines using satellite imagery and OpenStreetMap records, supplemented by on-site verification visits to correct geospatial inconsistencies caused by the absence of standardized public GIS databases in Oman. The data preparation workflow excluded non-public service alleys, planned roads, and construction corridors, ensuring that only actively functional, publicly accessible thoroughfares were retained. Segment topology was checked using both automated algorithms and manual inspection within the Space Syntax Toolkit to verify reachability and accurate intersection snapping. The final analytical dataset captured individual street segments across all six cases, evaluating topological degree connectivity, Angular Connectivity based on the cosine sum of deflection angles, Mean Segment Length, Normalized Angular Integration, and Angular Choice Normalized, alongside Gini coefficients calculated to evaluate the internal structural inequality and hierarchy of each settlement’s network.

Independent sample t-tests demonstrated statistically significant differences between traditional and modern settlements across all examined spatial variables at the alpha equals 0.05 significance threshold. Mean local node connectivity, representing the absolute number of directly connected adjacent street links, was significantly higher in traditional areas, producing a t-statistic of t(2240) = 19.340 (p < 0.05). Angular Connectivity exhibited an even more pronounced divergence favoring traditional fabrics, yielding t(1618) = 21.095 (p < 0.05), demonstrating that historical pathways provide smoother, more direct angular continuities between consecutive intersections. Furthermore, traditional settlements contained a significantly lower proportion of segments with a connectivity degree of two or fewer, representing dead ends and simple pass-through links. While modern districts consistently displayed higher proportions of low-connectivity dead ends, traditional layouts maintained more resilient networks; Manah represented an internal traditional outlier with 28.47 percent low-connectivity segments, whereas Al Hail recorded 20.98 percent among the modern sample.

The geometric analysis of segment lengths underscored contrasting scales of urban grain between the two historical eras, as modern settlements exhibited significantly longer street spans, reflected by an independent t-test result of t(1774) = -35.810 (p < 0.05). In traditional settlements, short street links dominate the urban fabric, creating frequent intersections that provide frequent opportunities for pedestrians to change navigational headings. Conversely, modern planned subdivisions require travelers to traverse substantially longer distances between junctions, increasing travel times between decision points. This geometric difference was reinforced by Gini index evaluations of segment length distributions: modern neighborhoods displayed higher Gini coefficients ranging between 0.35 and 0.39, reflecting a more hierarchical and unequal distribution of street lengths, whereas traditional settlements yielded more homogeneous Gini coefficients oscillating between 0.24 and 0.31, confirming that historical fabrics maintained a tightly uniform spatial grain.

Evaluations of network centrality revealed a more intricate, nuanced structural relationship than local connectivity and segment geometry. Normalized Angular Integration, which evaluates closeness centrality by measuring the relative topological depth from any given segment to all other segments in the network, yielded statistically higher average values in traditional settlements (t(1789) = 4.317, p < 0.05), though absolute differences remained modest. Spatial mapping of integration values demonstrated that high closeness values do not follow a uniform geographical configuration across traditional settlements: Izki displayed a T-shaped integration core, Al Hamra concentrated its highest values in a northern cluster, and Manah exhibited a cyclical central loop. In modern areas, high integration values clustered around neighborhood geometric centroids in Al Mawaleh and Al Qurum, while Al Hail was heavily influenced by peripheral thoroughfares, indicating that integration patterns vary considerably within both settlement classifications.

Betweenness centrality, modeled through Angular Choice Normalized to capture the mathematical probability that a street segment falls on shortest angular paths across the network, similarly exhibited higher mean values in traditional settlements (t(2826) = 70.065, p < 0.05). Because betweenness values follow a power-law distribution, the authors examined extreme percentiles, finding that modern settlements featured higher maximum values and wider overall ranges, reflecting concentrated through-traffic spines. A binary logistic regression model testing the capacity of spatial metrics to predict settlement classification confirmed that segment length was the sole variable whose increase yielded an odds ratio exceeding 1.0, directly associating longer blocks with modern districts. Angular Choice Normalized proved to be the single strongest predictor of settlement type, while basic topological connectivity lost statistical significance in the multivariate model, demonstrating that angular paths and segment lengths provide the most definitive mathematical markers of Omani urban modernization.

Contextualizing their empirical findings within broader urban transformations across the Gulf Cooperation Council, the authors observed that Oman’s spatial trajectory mirrors the car-oriented, low-density expansion documented in neighboring Gulf states, while possessing unique morphological drivers rooted in the 1984 land distribution lottery. In contrast to contemporary compact urban experiments such as Msheireb Downtown Doha in Qatar, which seeks to reinterpret vernacular climate-responsive density, post-1984 Omani suburbanization entrenched sprawling, low-density villa quarters. The study notes important analytical limitations: the sample of six settlements constitutes an exploratory comparative baseline rather than a nationally representative survey, manual GIS extraction may miss informal pedestrian alleyways, and the findings capture structural network affordances rather than empirical counts of pedestrian footfall.

Subject of Research: Comparative topological analysis of traditional and modern Omani neighborhood street networks

Article Title: Street network transformation in Oman: a comparative analysis of traditional and modern neighborhoods

Article References: Gonçalves, G. M., De Siqueira, G., Al Balushi, A., & Nadolny, A. (2026). Street network transformation in Oman: a comparative analysis of traditional and modern neighborhoods. City, Territory and Architecture, 13(1), Article 15. https://doi.org/10.1186/s40410-026-00312-z

Image Credits: AI Generated

DOI: 10.1186/s40410-026-00312-z

Keywords: urban morphology, space syntax, street networks, Oman urban planning, angular connectivity, normalized angular integration, angular choice, Muscat Capital Area, traditional settlements, modern neighborhoods, segment length, land lottery system, villa typology, pedestrian route choice, topological analysis, urban network science, closeness centrality, betweenness centrality