A sense of absence: Resituating housing vacancy in post-crisis Athens

2021 ◽  
pp. 1-18
Author(s):  
Ifigeneia Dimitrakou
Keyword(s):  
Housing Vacancy

Do Housing Vacancies Induce More Crime? A Spatiotemporal Regression Analysis

2019 ◽  
Vol 66 (11) ◽  
pp. 1579-1605 ◽  
Author(s):  
Xiaojin Chen ◽  
Patrick Rafail
Keyword(s):  
Regression Analysis ◽  
Collective Efficacy ◽  
Large Scale ◽  
Spillover Effect ◽  
Property Crime ◽  
Drug Offense ◽  
Community Based Programs ◽  
The City ◽  
Housing Vacancy ◽  
Neighborhood Level

This study aims to investigate the longitudinal associations between patterns of housing vacancies, neighborhood social disorder, and crime in the city of New Orleans. Using large-scale administrative and contextual data collected from the year 2012 to 2018, our spatiotemporal regression analysis provides empirical evidence for the salient effects of housing vacancy on neighborhood level of property crime and violence. In addition, the spillover effect of housing vacancy is observed on the neighborhood level of drug offense, property crime, and violence. These results potentially identify vacant properties as a modifiable target for intervention to reduce urban crime and suggest that community-based programs aiming to enhance informal social control and collective efficacy may be as important as broken window policing programs.

scholarly journals Predicting Detached Housing Vacancy: A Multilevel Analysis

2022 ◽  
Vol 14 (2) ◽  
pp. 922
Author(s):  
Jaekyung Lee ◽  
Galen Newman ◽  
Changyeon Lee
Keyword(s):  
Multilevel Model ◽  
Local Environment ◽  
Critical Issue ◽  
Building Structure ◽  
Model Design ◽  
Vacancy Rate ◽  
City Center ◽  
Individual Housing ◽  
The Individual ◽  
Housing Vacancy

Urban shrinkage is a critical issue in local small- and medium-sized cities in Korea. While there have been several studies to analyze the causes and consequences of vacancy increases, most have only focused on socioeconomic associations at larger scale and failed to consider individual housing level characteristics, primarily due to a lack of appropriate data. Based on data including 52,400 individual parcels, this study analyzes the primary contributors to vacant properties and their spatial distribution through a multilevel model design based on data for each parcel. Then, we identify areas at high risk of vacancy in the future to provide evidence to establish policies for improving the local environment. Results indicate that construction year, building structure, and road access conditions have a significant effect on vacant properties at the individual parcel level, and the presence of schools and hypermarket within 500 m are found to decrease vacant properties. Further, prediction outcomes show that the aged city center and areas with strict regulations on land use are expected to have a higher vacancy rate. These findings are used to provide a set of data-based revitalization strategies through the development of a vacancy prediction model.

Increased Homelessness and Low Rent Housing Vacancy Rates

2000 ◽  
Vol 9 (1-2) ◽  
pp. 76-103 ◽  
Author(s):  
June Ying Shann-Hwa Park
Keyword(s):  
Vacancy Rates ◽  
Housing Vacancy

scholarly journals International Real Estate Review

2018 ◽  
Vol 21 (3) ◽  
pp. 397-418
Author(s):  
Chin-Oh Chang ◽  
◽  
Shu-Mei Chen ◽  
Keyword(s):  
Housing Market ◽  
Home Ownership ◽  
Housing Prices ◽  
Housing Price ◽  
Poor Quality ◽  
Housing Demand ◽  
Vacancy Rate ◽  
Income Ratio ◽  
Holding Cost ◽  
Housing Vacancy

This paper discusses the contradicting phenomenon of housing demand in Taiwan. First, an introduction is given on the three primary characteristics of the housing market in Taiwan, which are a high housing vacancy rate, high housing prices and high home ownership. Secondly, we explore the motivation and preferences behind housing purchase. Since the housing price-income ratio continues to increase, unaffordable housing prices cause households to suffer from poor quality of life. The issues of housing justice are highlighted. Recently, the demographics and social values have rapidly changed. Therefore, even if homebuyers face unaffordable housing prices, they still prefer to buy housing instead of renting due to the traditional cultural belief that ¡§to have land is to have wealth¡¨. This has resulted in the phenomenon with high home ownership rate yet high housing prices. On the other hand, the low holding cost of housing and imbalance in urban and rural development perpetuate the high housing vacancy rate in the housing market. This results in an unhealthy housing market and misallocation of resources. Finally, recommendations for related government policy making are made based on the findings.

scholarly journals Spatial Pattern of Housing Sales Vacancy in Guangzhou’s Urban District, China

2021 ◽  
Vol 5 (6) ◽  
pp. 47-51
Author(s):  
Xiaoli Yue ◽  
Yang Wang ◽  
Yabo Zhao ◽  
Hong’ou Zhang
Keyword(s):  
Spatial Pattern ◽  
Real Estate Market ◽  
Urban District ◽  
The Real Estate ◽  
The Core ◽  
The North ◽  
The Real Estate Market ◽  
Vacancy Rates ◽  
Residential Quarters ◽  
Housing Vacancy

Housing vacancy can reflect the destocking degree of the real estate market. Based on the data of 57 opened residential quarters (46,622 units) from 2015 to 2018, this paper constructs a calculation formula of the sales vacancy rate and then analyzes the spatial pattern in Guangzhou’s urban district. The results show that there is obvious differentiation in the spatial pattern of housing sales vacancy in Guangzhou’s urban district, showing a higher spatial pattern in the old area and urban district and a lower spatial pattern in the core area. Subdistricts with high vacancy rates are mainly located in the east of the old area, the south and east of the urban district and near Baiyun Mountain in the north.

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