Analysis the Role of Economic Factors Affecting Construction Violations (Case Study: Khorramabad City)

One of the most important issues in today's cities is construction violations. Due to growth of urbanization and increasing demand of the field of urban construction and housing, construction violations in the Iranian cities have increased in recent and decades years. Despite the development of urban planning laws, a large number of construction violations occur in Iranian cities every year. These violations have serious effect on the quality of urban life and urban structure. Hence, it is imperative to address the reasons for the happening of construction violations in building process. Because of the extensive range of effects and consequences of construction violations and the growing occurrence of these violations, it is essential to consider these violations in the context of economic situation in Iran. In addition, discovering the cause of building violations in this context reveal new insights to deal with construction violations more effectively. I this regard, Khorramabad city in the west of Iran has special climatic conditions. This city is facing a severe shortage of land and housing. Therefore, this city is prone to construction violations. Hence, it was selected for study. The main purpose of this research was to analyze the relationship between economic indicators and the Price (as penalty of construction violations) in the mentioned city during the years 2013 to 2014. In spite of numerous studies in this field, this subject of area has been less considered in previous studies. Data and information required by documentary methods, reviewing statistical yearbooks of Lorestan province. The amounts as penalty of construction violations during the years 2014 to 2022were extracted from the database of the municipality; as a dependent variable. The link between independent variables (economic indicators) and dependent variable was investigated using Pearson correlation and regression analysis. The Pearson coefficient demonstrates how closely quantitative variables are related linearity. Regression model also shows the collective effects of independent variables on the dependent variable. The results of Pearson's correlation coefficient showed that the indicator of the Price of construction violations in the primary and appeal commissions had a significant relationship with all economic indicators except the number of building permits. In this context, housing price index, rental price index, and maintenance and repair price index of residential units have the highest correlation with the price of construction violations at a significant level of 99% and with a coefficient above 0.90. According to the results of the research, the price of facilities paid by banks to the building and housing sector has a significant relationship and high correlation with the price of construction violations at a significant level of 99%. Based on the results of regression analysis, among 12 independent economic indicators, five indicators (average monthly rent in contracts concluded between lessor and lessee, the price of facilities paid by banks to the building and housing sector, housing price index, maintenance and repair price index of residential units and added value construction sector) have the greatest impact on construction violations in Khorramabad city. These results indicate that it is important to look at this phenomenon from economic window.