Geography and Regional Planning

Geography and Regional Planning

Comparative analysis of construction project delivery methods using artificial neural networks in the context of urban construction geography

Authors
Moein Pashaian 1
Babak Fazli Malidareh 2
Seyedeh Mona Tabandeh 2
1 Department of Civil Engineering, Sari Branch, Islamic Azad University, Sari, Iran
2 Department of Civil Engineering, Babol Branch, Islamic Azad University, Babol, Iran
10.22034/jgeoq.2026.527069.4295
Abstract
The main purpose of this research was to present an artificial neural network (ANN) model for the relationship between organizational characteristics and construction project delivery methods. The present research was developmental research in terms of its purpose, applied in terms of its achievement or result, and descriptive-survey in terms of its data collection method. The statistical population was 360 people and the sample size was 354 people using a random sampling method. The validity of the research was face-content, and Cronbach's alpha test was used for the reliability of the research. In order to analyze the data, artificial neural network data mining algorithms were used using Rapid miner software. According to the results, the artificial neural network (ANN) model has the ability to predict the correct method of delivery of construction projects based on organizational characteristics. Also, the contribution of organizational characteristics in predicting the correct method of delivery of construction projects using the artificial neural network model is different. Also, the accuracy of the artificial neural network model is higher compared to other data mining models.
Keywords
Artificial neural network, Cronbach'
s alpha test, data mining algorithms,
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