Theoretical and Methodological Foundations of Uncertainty Modeling in Real Estate Markets DOI Creative Commons
Nonso Ewurum, Njideka Maryclara Aguome, Cezary Kowalczyk

et al.

Acta Scientiarum Polonorum Administratio Locorum, Journal Year: 2024, Volume and Issue: 23(3), P. 407 - 423

Published: Oct. 30, 2024

Motivation: The need to improve the accuracy and reliability of market valuation risk assessment in real estate markets, especially under conditions uncertainty.Aim: To integrate theoretical foundations methodological approaches for modeling aleatoric epistemic uncertainties markets using credal networks confidence boxes (c-boxes).Approach: This paper presents a comprehensive framework uncertainty focusing on application boxes. It does not include empirical validation or practical case studies, instead providing detailed conceptual discussion.Results: proposed method demonstrates significant improvements quantification analysis terms, offering valuable insights investors, urban planners, policymakers. However, is suggested future research confirm applicability.

Language: Английский

Exploring infiltration effects on coastal urban flooding: Insights from nuisance to extreme events using 2D/1D hydrodynamic modeling and crowdsourced flood reports DOI Creative Commons
Sergio A. Barbosa,

Yidi Wang,

Jonathan L. Goodall

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 968, P. 178908 - 178908

Published: Feb. 22, 2025

Language: Английский

Citations

2
Improving flood hazard susceptibility assessment by integrating hydrodynamic modeling with remote sensing and ensemble machine learning DOI Creative Commons

Izhar Ahmad,

Rashid Farooq, Muhammad Ashraf

et al.

Natural Hazards, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 11, 2025

Abstract Floods are natural disasters with significant economic and infrastructural impacts. Assessing flood susceptibility in mountainous urban regions is particularly challenging due to the complicated interaction which structures terrain affect behavior. This study employs two ensemble machine learning algorithms, Extreme Gradient Boosting (XGBoost) Random Forest (RF), develop maps for Hunza-Nagar region, has been experiencing frequent flooding past three decades. An unsteady flow simulation carried out HEC-RAS utilizing a 100-year return period hydrograph as an input boundary condition, output of provided spatial inundation extents necessary developing inventory. Ten explanatory factors, including climatic, geological, geomorphological features namely elevation, slope, curvature, topographic wetness index (TWI), normalized difference vegetation (NDVI), land use cover (LULC), rainfall, lithology, distance roads rivers considered mapping. For inventory, random sampling technique adopted create repository non-flood points, incorporating ten geo-environmental conditioning factors. The models’ accuracy assessed using area under curve (AUC) receiver operating characteristics (ROC). prediction rate AUC values 0.912 RF 0.893 XGBoost, also demonstrating superior performance accuracy, precision, recall, F1-score, kappa evaluation metrics. Consequently, model selected represent map area. resulting will assist national disaster management infrastructure development authorities identifying high susceptible zones carrying early mitigation actions future floods.

Language: Английский

Citations

1
Ecosystem services and their drivers under different watershed- management patterns in the western Chinese Loess Plateau DOI Creative Commons

Le Chen,

Wei Wei,

Bing Tong

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 172, P. 113321 - 113321

Published: March 1, 2025

Language: Английский

Citations

0
Vulnerability Assessment of the Prefabricated Building Supply Chain Based on Set Pair Analysis DOI Creative Commons
Jinjin Li, Lan Luo, Zhangsheng Liu

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(5), P. 722 - 722

Published: Feb. 24, 2025

In recent years, the disruption of prefabricated building supply chain has led to increased construction period delays and cost overruns, limiting development popularization buildings in China. Therefore, this study established a vulnerability evaluation index system for using driving force–pressure–state–impact–response (DPSIR) framework. We employed intuitionistic fuzzy analytic hierarchy process (IFAHP), projection pursuit (PP) model, variable weight theory determine indicator weights. The IFAHP was utilized reduce subjectivity assignment obtain degree membership, non-membership, hesitation experts evaluating importance indicators. PP model used objective weights based on structure data, applied integrate subjective according management needs. Set Pair Analysis (SPA) establish chain, treating data levels as set pair. By analyzing identity, difference, opposition pair, we assessed predicted chain. Taking Taohua Shantytown project Nanchang case study, results showed that primary with greatest influence force, 0.2692, followed by secondary indices market demand policy support, 0.0753 0.0719, respectively. project’s average rating moderate (Level III), it an improvement trend. During implementation, total overrun controlled within 5% budget, delay did not exceed 7% plan, rate production safety accidents below industry average. demonstrated assessment method SPA comprehensively objectively reflected It is suggested improve transparency flexibility strengthen daily enhance collaboration partners vulnerability.

Language: Английский

Citations

0
The Environmental Risk of Heterogeneous Oxidation is Unneglectable: Time-Resolved Assessments beyond Typical Intermediate Investigation DOI
Zijie Xiao, Bowen Yang, Xiaochi Feng

et al.

Water Research, Journal Year: 2025, Volume and Issue: unknown, P. 123572 - 123572

Published: March 1, 2025

Language: Английский

Citations

0
Urban Flood Risk Analysis Using the SWAGU-Coupled Model and a Cloud-Enhanced Fuzzy Comprehensive Evaluation Method DOI

Jinhui Hu,

Chunyuan Deng,

Xinyu Chang

et al.

Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106461 - 106461

Published: April 1, 2025

Language: Английский

Citations

0
Theoretical and Methodological Foundations of Uncertainty Modeling in Real Estate Markets DOI Creative Commons
Nonso Ewurum, Njideka Maryclara Aguome, Cezary Kowalczyk

et al.

Acta Scientiarum Polonorum Administratio Locorum, Journal Year: 2024, Volume and Issue: 23(3), P. 407 - 423

Published: Oct. 30, 2024

Motivation: The need to improve the accuracy and reliability of market valuation risk assessment in real estate markets, especially under conditions uncertainty.Aim: To integrate theoretical foundations methodological approaches for modeling aleatoric epistemic uncertainties markets using credal networks confidence boxes (c-boxes).Approach: This paper presents a comprehensive framework uncertainty focusing on application boxes. It does not include empirical validation or practical case studies, instead providing detailed conceptual discussion.Results: proposed method demonstrates significant improvements quantification analysis terms, offering valuable insights investors, urban planners, policymakers. However, is suggested future research confirm applicability.

Language: Английский

Citations

0