Citizens-based Assessment of a Renovation Facilitating Policy in Urban Deteriorated Areas: An Ordinal Logistic Regression Model

By Saeed Najd Ataei Sarkarabad, Elahe Rezaei, Kyoumars Habibi


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This study tested which latent factors exist that could significantly impact the citizens-based performance assessment of the Neighborhood Renovation Service Office (NRSO) which is a renovation facilitating policy. Two hundred residents of Urban Deteriorated Areas (UDAs) in
Fallah & Yaftabad neighborhoods, were interviewed by questionnaires. To analyze the outcomes of the questionnaires, first, an Exploratory Factor Analysis (EFA) for identifying underlying factors for assessment of the mentioned policy and subsequently Ordinal Logistic Regression
(OLR) for modeling the factors concerning performance assessment were employed.

The residents who had more familiarity with the plans and policies evaluated the renovation office performance more positively. Also if NRSOs want to be assessed as more effective in their intervention they need to empower their interacting community’s socioeconomic factor.
The OLR model showed that the sense of place is another significant underlying factor in this regard. However, residency duration despite converging as a factor in EFA did not show any significant impact based on the OLR model.


citizens-based assessment; renovation facilitating policy; Neighborhood Renovation Service Office (NRSO); Urban Deteriorated Areas (UDAs); Ordinal Logistic Regression (OLR)

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