A Decision Support System for Organizing Quality Control of Buildings Construction during the Rebuilding of Destroyed Cities DOI Creative Commons
Azariy Lapidus, Aleksandr Makarov,

Anastasiia Kozlova

et al.

Buildings, Journal Year: 2023, Volume and Issue: 13(9), P. 2142 - 2142

Published: Aug. 23, 2023

Natural disasters and warfare lead to the destruction of city buildings infrastructure, leaving large numbers people homeless. The rebuilding destroyed cities needs be carried out promptly while maintaining a balance between construction quality duration. Rework due defects lengthy approval non-conformances significantly increases duration construction. This study aimed develop decision support system fix or negotiate strategies address defects, depending on their level risk. paper addresses following objectives: classifying by that they affect; building tree defect risks; developing an artificial neural network (ANN) assess weights links are represented posterior probabilities damage calculated using Bayes’ theorem in pre-training stage. ANN has been adapted cast-in-place reinforced concrete structures. When training resulting sample precedents, test demonstrated convergence low errors. model will accelerate automating assessments severity reducing time spent reworking with

Language: Английский

CO-BENEFITS OF RESIDENTIAL RETROFITS: A REVIEW OF QUANTIFICATION AND MONETIZATION APPROACHES DOI

L. Ruiz-Valero,

Nastaran Makaremi, Sophie Haines

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112576 - 112576

Published: Jan. 1, 2025

Language: Английский

Citations

0
The Role of Artificial Intelligence Technologies in Sustainable Urban Development: A Systematic Survey DOI
Maria Rosaria Sessa, Ornella Malandrino,

A. Cesarano

et al.

Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 217 - 230

Published: Jan. 1, 2025

Language: Английский

Citations

0
Preliminary diagnostic assessment process and case studies for existing residential regeneration DOI Creative Commons
C.S. Liu,

Yue Fan,

Qiong Zhang

et al.

City and Built Environment, Journal Year: 2025, Volume and Issue: 3(1)

Published: March 5, 2025

Language: Английский

Citations

0
Visualization Analysis of Research on Inefficient Stock Space by Mapping Knowledge Domains DOI Creative Commons

Wangyang Gui,

Xu Li, Bin Xu

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(8), P. 1356 - 1356

Published: April 18, 2025

Inefficient stock space use in urban and rural areas causes economic losses environmental harm, needing better solutions. Currently, this field is constrained by a relatively underdeveloped research history, which has led to the lack of comprehensive theoretical framework established solution methodologies. Therefore, it crucial clarify principles spatial evolution within approaches promote rapid advancement practical application subsequent theories. This effort will improve understanding effective utilization inefficient inventory encourage critical analysis systematically reviewing developmental trajectory previous research. study aims conduct thorough trajectory, evaluation frameworks, strategies for utilizing Web Science (WOS) China National Knowledge Infrastructure (CNKI) databases. Through CiteSpace visualization analysis, investigates pertinent literature on space, covering period from 2004 present. The results show that exhibits diverse characteristics, with WOS publications focusing four primary dimensions, namely land reuse, establishment systems, governance, development planning. Conversely, CNKI tend prioritize optimization design mechanisms planning development. In relation policy frameworks evolutionary trends, contexts evolved through three distinct phases, embryonic stage (2004–2013), exploration (2013–2020), growth (2020–present). While currently been addressed various initiatives, there remains significant gap focused areas, highlighting necessity an enhanced urban–rural coupling mechanisms. Additionally, efficient both environments multidisciplinary challenge requires innovative models aligned sustainable development, drawing insights disciplines such as economics, architecture,

Language: Английский

Citations

0
Towards a Holistic Definition for Positive Energy Districts: A Decision Support System for the Renovation of Neighborhoods DOI

Saghar Hosseinalizadeh,

Salvatore Cellura,

Lorenzo Ilardi

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Research on Diagnosis and Assessment Processes and Methods for Existing Residential Buildings Based on Intelligent Assistance Models DOI Creative Commons
C.S. Liu, Qiong Zhang, Yue Fan

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(10), P. 3062 - 3062

Published: Sept. 25, 2024

As renovating existing residential buildings shifts towards more detailed methodologies, conducting comprehensive diagnostic assessments before renovation is crucial for achieving successful outcomes. This research introduces an innovative large-scale assessment method buildings, addressing the inefficiencies, redundancies, and subjective biases present in traditional processes through intelligent assistance modeling. The proposed focuses on five key elements: construction year, exterior walls, windows, balconies, shading devices, categorizing levels into four grades (A, B, C, D) based varying intensities. Evaluation criteria are established service life, thermal performance, degradation, aesthetic quality. An model, constructed using training datasets, enables rapid assessments, significantly reducing evaluation time while maintaining accuracy rate of over 95%. Empirical testing Shenzhen confirmed model’s effectiveness, demonstrating its superior efficiency compared to methods. A weighted analysis revealed that impact each factor building’s condition was as follows: wall thickness (0.38), finish deterioration (0.35), window (0.29), balcony (0.28), year (0.23). Additionally, interactive software application integrating model developed. study employed interdisciplinary approach, combining machine learning big data, offering a new perspective building providing significant reference value future urban planning.

Language: Английский

Citations

2
Digital technologies in urban regeneration: A systematic review of literature DOI Creative Commons

Oumayma Moufid,

Sarbeswar Praharaj,

Hassane Jarar Oulidi

et al.

Journal of Urban Management, Journal Year: 2024, Volume and Issue: 14(1), P. 264 - 278

Published: Nov. 27, 2024

Language: Английский

Citations

1
Preliminary Diagnostic Assessment Process and Case Studies for Existing Residential Regeneration DOI Creative Commons
C.S. Liu,

Yue Fan,

Qiong Zhang

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: June 14, 2024

Abstract With the increasing efforts of state to renew old settlements, regeneration existing houses built in 1980s-2000s has entered a stage where it is urgent transform from rough refined transformation, but diagnostic and assessment standards decision-making basis for pre-transformation have not yet been established. At same time, arrival era informatization intelligence also brings new opportunities challenges work residential regeneration. Based on research foundation building regeneration, article constructs process buildings an architectural perspective, which divided into three phases: data collection integration, visual model construction, analysis, comprehensively applies technology information modeling carry out comprehensive using qualitative quantitative diagnosis form template assessment. The formed, residence Shenzhen used as case study object apply methodology process, covering key element information, diagnosis, further based conclusions, guide design remodeling programs. provides scientific guidance direction practice fine residences formulation related standard guidelines, improves efficiency decision-making, advanced demonstrative effect foresight.

Language: Английский

Citations

0
A Decision Support System for Organizing Quality Control of Buildings Construction during the Rebuilding of Destroyed Cities DOI Creative Commons
Azariy Lapidus, Aleksandr Makarov,

Anastasiia Kozlova

et al.

Buildings, Journal Year: 2023, Volume and Issue: 13(9), P. 2142 - 2142

Published: Aug. 23, 2023

Natural disasters and warfare lead to the destruction of city buildings infrastructure, leaving large numbers people homeless. The rebuilding destroyed cities needs be carried out promptly while maintaining a balance between construction quality duration. Rework due defects lengthy approval non-conformances significantly increases duration construction. This study aimed develop decision support system fix or negotiate strategies address defects, depending on their level risk. paper addresses following objectives: classifying by that they affect; building tree defect risks; developing an artificial neural network (ANN) assess weights links are represented posterior probabilities damage calculated using Bayes’ theorem in pre-training stage. ANN has been adapted cast-in-place reinforced concrete structures. When training resulting sample precedents, test demonstrated convergence low errors. model will accelerate automating assessments severity reducing time spent reworking with

Language: Английский

Citations

1