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...
Main Authors: | , , |
---|---|
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 |