5. Fındıngs: STVSM Calculatıons Based on Expert Judgments
The STVSM model provides a multi-layered assessment framework that integrates structural risk, typological continuity, spatial integrity, and cultural value within a single computational system. Rather than prioritizing either collapse risk or architectural significance in isolation, the model produces a composite vulnerability measure that reflects the interaction of these domains.
Scores collected from eight experts formed the basis of the weighting structure. Their diverse backgrounds in conservation, structural behavior, material deterioration, typology, and field implementation prevented the model from being shaped by a single disciplinary bias. All indicators were first scored on a 1–9 importance scale, averaged to reduce outlier effects, and normalized within each major component (SV, TV, HV). Field-based deterioration levels were then assigned using a four-step 0–1 scale and multiplied by the corresponding weights to generate the sub-indices.
This section presents (1) the distribution of expert-derived weights, (2) the computational logic of the STVSM model, and (3) the final vulnerability and conservation-priority scores for 26 buildings across three regions. The results demonstrate that STVSM captures not only physical deterioration but also typological loss and cultural significance, offering a broader evaluative capacity than single-axis damage indices.
5.1. Statistical Analysis of Expert Judgments
Determining the weighting coefficients is the most critical phase of the model, as the STVSM scores depend directly on these values. The eight expert panels evaluated a total of 20 indicators across the SV, TV, and HV domains.
Individual scores were averaged to minimize extreme deviations and then normalized within each component to obtain relative importance weights. These normalized values form the micro-level weighting structure and constitute the indicator-specific multipliers used in later computations.
The table below presents the expert scores, averages, and normalized coefficients for each indicator.
5.2. Derivation of Normalized Final Weights
While normalized indicator-level weights define the micro structure of the model, the three major components (SV, TV, HV) each contribute differently to the overall vulnerability calculation. For this reason, macro-weights were calculated by comparing the aggregated mean scores of the three domains.
This two-tier weighting logic ensures that the model does not collapse into a purely structural or purely value-driven assessment. Instead, physical deterioration, typological integrity, and cultural–architectural significance are represented in a balanced and empirically derived ratio.
The aggregated scores provided by the experts yielded the following group totals:
SV total: 49.88
TV total: 40.13
HV total: 47.13
The macro-weights of the three components were calculated using:
W_group = Group Total / (SV + TV + HV)
Accordingly:
W(SV) = 49.88 / 137.14 = 0.364
W(TV) = 40.13 / 137.14 = 0.293
W(HV) = 47.13 / 137.14 = 0.344
Total sum: 49.88 + 40.13 + 47.13 = 137.14.
This distribution shows that STVSM assigns nearly equal importance to
structural vulnerability (36.4%),
typological/spatial degradation (29.3%), and
cultural/architectural value (34.4%).
Such a balance prevents the model from collapsing into a purely physical-damage index or a purely value-driven assessment, ensuring a decision mechanism that integrates both dimensions.
The table below presents the final normalized weights, obtained by multiplying the macro-weights (W_group) with the micro-level indicator weights (wᵢ). These final coefficients constitute the complete weighting structure used for the STVSM scoring process (
Table 2).
5.2.1. Structural Vulnerability Indicators (SV)
This group covers deterioration types that directly affect the load-bearing performance and constitutes the most technically weighted component of STVSM. Expert ratings clearly show that crack density, wall discontinuities, material loss and deformation of structural elements are the most decisive factors influencing vulnerability. Scores collected for the eight indicators were averaged and then normalized against the total SV score. This procedure clarifies which aspects of structural risk dominate within the model and ensures that the SV component derives its weighting structure from empirically grounded distributions.
(For detailed averages and normalized coefficients, see
Table 2, SV rows.)
5.2.2. Typological and Spatial Degradation Indicators (TV)
TV indicators assess the extent to which a building maintains its original spatial organization, typological coherence and façade rhythm. Because this group evaluates architectural identity beyond physical damage, it represents the cultural and morphological dimension of the STVSM framework. Expert assessments reveal three clear tendencies:
A. Spatial integrity and volumetric continuity (TV1–TV2) are the strongest determinants of typological degradation.
B. Loss of opening rhythm (TV3) emerges as a rapid catalyst of typological deformation, especially in buildings that have undergone functional change.
C. Roof-form alterations and the loss of characteristic typological elements (TV5–TV6) are the most influential drivers of character erosion in both houses and churches.
All indicator averages were computed and normalized using the total TV score of 40.13, allowing the model to parameterize the contribution of typological degradation through micro-level weights (
Table 2)
5.2.3. Value Indicators (HV)
HV represents the epistemic departure point of STVSM from damage-oriented vulnerability indices. This group measures a building’s historical, aesthetic and architectural value, its contextual integration, and its degree of authenticity and integrity. It therefore accounts not only for physical degradation but also for the preservation of cultural identity.
Expert evaluations highlight three dominant tendencies:
Historical, aesthetic and architectural design value (HV1–HV3) received consistently high scores, confirming the decisive role of cultural significance in perceived vulnerability.
Contextual value (HV4) emerged as a critical factor, especially for structures embedded within historic settlement fabrics.
Authenticity/integrity (HV5) and rarity/representativeness (HV6) were regarded as key indicators for determining whether the architectural identity of a building has been preserved.
Averages for the six indicators were calculated and normalized using the HV total of 47.13, defining the multiplier effect of cultural and architectural value within the STVSM scoring system. (For indicator averages and normalized coefficients, see
Table 2, HV rows.)
5.3. Final Formula of the STVSM Model (Refined Version)
The micro-weights derived from expert evaluations were combined with the macro-weights of the SV–TV–HV groups to generate a unified weighting structure. For each indicator, the final weight wi,final is defined as the product of its normalized micro-weight and the macro-weight of its parent group. This establishes a formulation that integrates both expert-driven sensitivity and the relative influence of the structural (SV), typological (TV), and heritage-value (HV) components within the overall fragility score.
For each building, field observations yielded a normalized deterioration value between 0 and 1 for every indicator. These values represent standardized readings of cracking severity, typological discontinuity, loss of authenticity, material decay, or erosion of cultural value. Here:
vi,j denotes the observed deterioration level of indicator i for building j.
wi,final denotes the final STVSM weight assigned to indicator i.
The contribution of each indicator to the fragility score of building j is obtained by multiplying its deterioration level by its final weight. The total STVSM score is calculated by summing all weighted indicator contributions:
STVSMj = Σ (wi,final × vi,j)
All final indicator weights used in the STVSM model (wᵢ,final) were derived by combining the macro- and micro-weighting structures. The complete set of final coefficients is presented below.
Table 3.
Final Indicator Weights (wi,final) Derived from the Integration of Macro and Micro Components in the STVSM Model.
Table 3.
Final Indicator Weights (wi,final) Derived from the Integration of Macro and Micro Components in the STVSM Model.
| Main Group |
Group Weight (W_group) |
Indicator |
Normalized Indicator Weight (Wi) |
Final Weight (W_group × Wi) |
| SV |
0,364 |
SV1 |
0,16 |
0,0582 |
| |
|
SV2 |
0,17 |
0,0619 |
| |
|
SV3 |
0,16 |
0,0582 |
| |
|
SV4 |
0,145 |
0,0528 |
| |
|
SV5 |
0,08 |
0,0291 |
| |
|
SV6 |
0,085 |
0,0309 |
| |
|
SV7 |
0,075 |
0,0273 |
| |
|
SV8 |
0,123 |
0,0448 |
| TV |
0,293 |
TV1 |
0,184 |
0,0539 |
| |
|
TV2 |
0,202 |
0,0592 |
| |
|
TV3 |
0,15 |
0,044 |
| |
|
TV4 |
0,131 |
0,0384 |
| |
|
TV5 |
0,165 |
0,0483 |
| |
|
TV6 |
0,168 |
0,0492 |
| HV |
0,344 |
HV1 |
0,167 |
0,0574 |
| |
|
HV2 |
0,175 |
0,0602 |
| |
|
HV3 |
0,167 |
0,0574 |
| |
|
HV4 |
0,156 |
0,0537 |
| |
|
HV5 |
0,164 |
0,0564 |
| |
|
HV6 |
0,17 |
0,0585 |
The model consists of three sub-indices:
SV (Structural Vulnerability Index)
SV_j = Σ (w_i × v_i,j)
TV (Typological/Spatial Vulnerability Index)
TV_j = Σ (w_i × v_i,j)
HV (Heritage Value Index)
HV_j = Σ (w_i × v_i,j)
While the SV and TV components directly reflect structural and typological degradation, the HV component functions as a value amplifier, increasing the final priority score for culturally significant buildings. This distinction aligns with models that emphasize the multiplier effect of heritage value on risk and prioritization (Revez et al., 2022; Pereira et al., 2019).
1) Degradation Index (B) – Physical Vulnerability Level
The SV and TV scores are combined to calculate the physical–degradation level of each building:
B_j = (SV_j + TV_j) / 2
The B value ranges between 0 and 1, representing the degree of typological and structural integrity loss.
2) Cultural Value Multiplier (M)
The HV score increases the final index through a direct multiplier effect:
M_j = 1 + HV_j
A high HV score raises the priority of a building even if physical degradation is moderate; conversely, low-value buildings do not dominate the final vulnerability assessment.
3) Final Conservation Priority Index – CPI (STVSM Final Score)
In the revised model, the integrated vulnerability and priority score for each building is calculated as follows:
CPI_j = B_j × M_j
The CPI value ranges between 0 and 2.
Interpretation Ranges
0 – 0.50; Low priority
0.50 – 1.00; Medium priority
1.00 – 1.50; High priority
1.50 – 2.00; Critical priority
These intervals provide an integrated conservation decision–support output by combining structural, typological, and heritage-value indicators within a single analytical framework.
Minor Degradation: 0.25;
Moderate Degradation: 0.50;
Severe Degradation: 0.75;
Critical Failure / Near-Collapse: 1.00
(D’Ayala & Fodde 2008; Lagomarsino & Giovinazzi 2006; FEMA 2012; EMS-98).
These values together generate an integrated conservation decision–support output by combining structural, typological, and heritage-value indicators within a single analytical framework. Minor Degradation: 0.25; Moderate Degradation: 0.50; Severe Degradation: 0.75; Critical Failure / Near-Collapse: 1.00 (D’Ayala & Fodde 2008; Lagomarsino & Giovinazzi 2006; FEMA 2012; EMS-98). Each degradation indicator is assigned a severity level (Severityᵢ) based on field observations, which is then multiplied by the final weight coefficient (wᵢ) derived from the STVSM model. The resulting term, Weighted Score (Severityᵢ × wᵢ), expresses the proportional contribution of each indicator to the composite vulnerability score of the building.
How these computational steps are reflected across all indicators at the building scale is presented in
Table 4,
Table 5 and
Table 6 for the Balıkesir houses, Cumalıkızık houses, and Greek Orthodox churches, respectively (
Table 4,
Table 5 and
Table 6).
5.4. STVSM Scores of the Buildings and Comparative Analysis
Using the final indicator weights defined in the STVSM model, structural vulnerability (SV), typological/spatial degradation (TV), and value-based vulnerability (HV) sub-indices were calculated for twenty-five buildings selected from the three study areas. Field-based degradation indicators were normalized between 0 and 1, then multiplied by the expert-derived weights defined in
Section 3 to generate the weighted values for each indicator. This procedure makes both the intra-group influence of each indicator and its contribution to the overall model quantitatively explicit.
In the first stage, SV sub-indices were produced for eight Cumalıkızık houses, eight Balıkesir urban houses, and nine Greek Orthodox churches. These indices represent a weighted aggregation of structural degradation indicators such as wall discontinuities, crack density, opening-to-wall ratios, material loss, roof–floor integrity, and overall deformation.
In the second stage, the TV and HV sub-indices were computed using the typological and value indicators defined in
Section 3. This step incorporates plan deformation, massing discontinuity, façade-rhythm disturbances, degrees of authenticity/integrity, and cultural–historical representativeness into the model.
Finally, the three sub-indices were combined to obtain a unified STVSM score for each building. To illustrate how this composite structure varies across the three building groups, a radar diagram comparing the mean SV, TV, and HV values was generated (
Figure 4).
The detailed calculation matrices for Cumalıkızık houses, Balıkesir houses and Greek Orthodox churches are presented in
Table 4,
Table 5 and
Table 6, respectively. These tables display all intermediate computations based on the product of each indicator’s weight coefficient and its normalized degradation level, thereby making the derivation of the sub-index values fully transparent.
On the basis of the summary values derived from these matrices, STVSM scores were calculated in the 0–1 range and rounded to two decimal places for ease of interpretation. A higher STVSM score indicates greater vulnerability and a more urgent need for intervention across structural, typological and value components, whereas a lower score reflects a more balanced relationship between degradation level and architectural/historical value. To illustrate how this vulnerability distribution differs across the three building groups, a scatter plot was prepared that compares the SV–TV relationship and the relative influence of the HV component (
Figure 5).
A comparative reading reveals distinct patterns across the three study areas. In the Greek Orthodox churches, the loss of roofing systems, collapse at upper wall levels, and fragmentation of interior spatial continuity result in consistently high SV and TV components. At the same time, their substantial architectural, historical and symbolic value significantly elevates the HV component, thereby increasing overall conservation priority.
In the Cumalıkızık and Balıkesir vernacular architecture samples, late-period alterations, added floors and façade-disrupting interventions intensify typological degradation; however, in several cases, partial preservation of the original structural system and material character moderates the total vulnerability score.
These findings demonstrate that the STVSM model does more than measure structural risk: it renders visible the combined effects of typological discontinuity, spatial fragmentation, and the loss of cultural/historical value on conservation prioritization. This makes comparative evaluation across different building groups and geographic contexts possible, grounding conservation decisions in more objective parameters.
The following summary table presents the SV–TV–HV sub-indexes and composite STVSM scores for the three building groups (
Table 7). To more clearly illustrate the vulnerability patterns produced by these sub-indexes, a heatmap comparing the relative intensity of the SV–TV–HV components was generated (
Figure 6).
This heatmap visually highlights which vulnerability components dominate within each group, demonstrating how the STVSM model captures structural, typological and heritage-value patterns that guide conservation prioritization.
5.5. Priority Ranking of the Buildings and Discussion
The STVSM scores presented in
Table 4,
Table 5 and
Table 6 generate a comparative conservation-priority profile for the twenty-five buildings examined across the three study areas. Because the model integrates structural decline (SV), typological/morphological degradation (TV), and heritage-value loss (HV), it captures both physical deterioration and architectural–cultural erosion within a single analytical structure. The weighting system, derived from expert judgments, allows qualitative parameters such as plan-typology distortion, loss of spatial hierarchy, façade-rhythm deformation, and diminished material authenticity to be expressed numerically. In this sense, STVSM offers a holistic vulnerability metric rather than a single-axis damage index.
Rural Orthodox Churches: High SV + High TV + High HV; Critical Priority
Among all building groups, the Orthodox churches consistently yield the highest vulnerability scores. Three factors drive this outcome:
Structural integrity loss (SV): Collapse of the roof, degradation of upper wall sections, and deformation of arches substantially increase structural vulnerability.
Typological deformation (TV): Liturgical spatial sequences, iconostasis traces, floor-level organization, and façade composition are heavily disrupted.
High cultural–historical value (HV): As key representatives of regional Christian heritage and late Ottoman rural architecture, these buildings receive high value multipliers.
Consequently, near-ruinous conditions do not merely elevate SV; the high HV component further amplifies the final STVSM score. This group clearly forms the top-priority intervention category.
Cumalıkızık Houses: Low SV + High TV + Medium–High HV
In the Cumalıkızık houses, structural deterioration is generally limited; however, typological degradation is pronounced. The primary drivers are:
late-period vertical extensions,
PVC window replacements,
external metal staircases,
fragmentation of the sofa layout,
alterations obscuring the timber-frame logic.
These interventions degrade typological continuity, pushing TV values upward. HV scores remain moderate to high due to the site’s UNESCO context and the integrity of the broader settlement. The resulting priority level suggests that interventions should focus on typological rehabilitation rather than structural rescue.
Balıkesir City-Center Houses: Medium SV + High TV + Medium HV
The Balıkesir examples display more variable structural conditions but consistently high typological degradation. Key causes include:
pressures of commercial adaptation,
loss of internal circulation logic,
façade fragmentation,
erasure of original plan schemas,
incompatible extensions.
Thus, TV again becomes the dominant component, while HV remains moderate.
Synthesis: The Vulnerability Logic of the Three Groups
Very high SV + high TV + high HV = critical conservation priority
- B.
Cumalıkızık houses:
Low SV + high TV + medium/high HV = medium–high priority
- C.
Balıkesir houses:
Medium SV + high TV + medium HV = medium priority
This three-tier pattern demonstrates that STVSM captures not only physical deterioration but also architectural identity erosion, spatial discontinuity, and representational value loss. The model thus enables measurable, consistent, and defensible priority ranking across diverse building types and contexts.
Integrated Interpretation of STVSM Scores
Each building group displays a distinct vulnerability logic:
Rural churches; multi-dimensional vulnerability amplified by high value multipliers
Cumalıkızık houses; typology-centered degradation
Balıkesir houses; intervention-driven and spatially induced degradation
Altogether, STVSM demonstrates its capacity to move beyond engineering-based risk models by incorporating architectural continuity, aesthetic integrity, and cultural representativeness into conservation decision-making.