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

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 nei...

Full description

Bibliographic Details
Main Authors: Saeed Najd Ataei Sarkarabad, Elahe Rezaei, Kyoumars Habibi
Format: Article
Language:Catalan
Published: Universitat de Barcelona 2021-04-01
Series:On the W@terfront
Subjects:
Online Access:http://revistes.ub.edu/index.php/waterfront/article/view/34555
_version_ 1818878553690734592
author Saeed Najd Ataei Sarkarabad
Elahe Rezaei
Kyoumars Habibi
author_facet Saeed Najd Ataei Sarkarabad
Elahe Rezaei
Kyoumars Habibi
author_sort Saeed Najd Ataei Sarkarabad
collection DOAJ
description 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.
first_indexed 2024-12-19T14:16:01Z
format Article
id doaj.art-715b683ed620433ba7004413ad4f84ba
institution Directory Open Access Journal
issn 1139-7365
language Catalan
last_indexed 2024-12-19T14:16:01Z
publishDate 2021-04-01
publisher Universitat de Barcelona
record_format Article
series On the W@terfront
spelling doaj.art-715b683ed620433ba7004413ad4f84ba2022-12-21T20:17:59ZcatUniversitat de BarcelonaOn the W@terfront1139-73652021-04-0163210.1344/waterfront2021.63.2.0127553Citizens-based Assessment of a Renovation Facilitating Policy in Urban Deteriorated Areas: An Ordinal Logistic Regression ModelSaeed Najd Ataei Sarkarabad0Elahe Rezaei1Kyoumars Habibi2University of Kurdistan, Department of Urban Planning and DesignIslamic Azad University, Science and Research Branch, Tehran, Department of Urban PlanningUniversity of Kurdistan, Department of Urban Planning and DesignThis 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.http://revistes.ub.edu/index.php/waterfront/article/view/34555citizens-based assessmentrenovation facilitating policyNeighborhood Renovation Service Office (NRSO)Urban Deteriorated Areas (UDAs)Ordinal Logistic Regression (OLR)
spellingShingle Saeed Najd Ataei Sarkarabad
Elahe Rezaei
Kyoumars Habibi
Citizens-based Assessment of a Renovation Facilitating Policy in Urban Deteriorated Areas: An Ordinal Logistic Regression Model
On the W@terfront
citizens-based assessment
renovation facilitating policy
Neighborhood Renovation Service Office (NRSO)
Urban Deteriorated Areas (UDAs)
Ordinal Logistic Regression (OLR)
title Citizens-based Assessment of a Renovation Facilitating Policy in Urban Deteriorated Areas: An Ordinal Logistic Regression Model
title_full Citizens-based Assessment of a Renovation Facilitating Policy in Urban Deteriorated Areas: An Ordinal Logistic Regression Model
title_fullStr Citizens-based Assessment of a Renovation Facilitating Policy in Urban Deteriorated Areas: An Ordinal Logistic Regression Model
title_full_unstemmed Citizens-based Assessment of a Renovation Facilitating Policy in Urban Deteriorated Areas: An Ordinal Logistic Regression Model
title_short Citizens-based Assessment of a Renovation Facilitating Policy in Urban Deteriorated Areas: An Ordinal Logistic Regression Model
title_sort citizens based assessment of a renovation facilitating policy in urban deteriorated areas an ordinal logistic regression model
topic citizens-based assessment
renovation facilitating policy
Neighborhood Renovation Service Office (NRSO)
Urban Deteriorated Areas (UDAs)
Ordinal Logistic Regression (OLR)
url http://revistes.ub.edu/index.php/waterfront/article/view/34555
work_keys_str_mv AT saeednajdataeisarkarabad citizensbasedassessmentofarenovationfacilitatingpolicyinurbandeterioratedareasanordinallogisticregressionmodel
AT elaherezaei citizensbasedassessmentofarenovationfacilitatingpolicyinurbandeterioratedareasanordinallogisticregressionmodel
AT kyoumarshabibi citizensbasedassessmentofarenovationfacilitatingpolicyinurbandeterioratedareasanordinallogisticregressionmodel