scholarly journals What is the effect of location on rental housing prices in Athens?

2021 ◽  
Vol 23 (3) ◽  
pp. 439-453
Author(s):  
Jorge Chica-Olmo ◽  
Rafael Cano-Guervos ◽  
María-Despoina Moschovaki ◽  
Ivan Tamires-Turizo
Keyword(s):  
Housing Prices ◽  
Rental Housing

scholarly journals The Analysis of Factors Affecting the Residential Mobility of Afghan Immigrants Residing in Mashhad (Case Study: Municipality Regions 4, 5 and 6)

2016 ◽  
Vol 12 (6) ◽  
pp. 61 ◽  
Author(s):  
Yaghoob Zanganeh ◽  
Alireza Hamidian ◽  
Hosseinali Karimi
Keyword(s):  
Spatial Structure ◽  
Residential Mobility ◽  
Housing Prices ◽  
Rental Housing ◽  
Field Studies ◽  
Major Influence ◽  
Factors Affecting ◽  
Afghan Refugees ◽  
Marginal Areas ◽  
Initial Settlement

<p class="a"><span lang="EN-US">The settlement of the immigrants, especially foreign immigrants in different cities and city areas has a major influence in shaping and changing socio-spatial structure of these areas. Mashhad has been the target of a large number of Afghan refugees in the past decades (160 thousand people). The initial settlement of immigrants in marginal areas of the city and residential mobility in the early settlement has obvious consequences on the social and spatial structure of different areas targeted by the immigrants. This study aimed to analyze the factors affecting the residential mobility of Afghan refugees residing in districts 4, 5 and 6 of Mashhad- Iran. The research was a survey type and the required data were gathered by field studies using questionnaires and library. The results of this study suggests that a major portion Afghan immigrant (86%) have been settled at the beginning of their arrival to Mashhad in marginal areas and slums including, Golshahr, Panj-tan, Ghaleh Sakhteman and Tollab. In the initial settlement of immigrants in the mentioned places factors such as proximity to fellow coreligionists and affordable rental housing prices are crucial. In terms of residential mobility, 45.7% of immigrant families have changed their location at least once in Mashhad. The highest residential mobility has taken place in the Golshahr areas (28.1%) and Panj-tan (28.1%). Family residential mobility between regions existed in smaller and restricted scale. The stated reasons and motives in relation to residential mobility of immigrants are different in the later stages after primary residence. Generally the factors of insecurity and lack of resources and utilities, improved financial condition and ability to buy a better house, ethnics and religion inconsonance and the tenant conditions are among the reasons stated by the refugees for changing their residence.</span></p>

scholarly journals Evaluation of impact of the Covid-19 pandemic on rental housing prices in the city of Brno between 2020 and 2021

2022 ◽  
Vol 132 ◽  
pp. 01024
Author(s):  
Petr Junga ◽  
Radka Smolinská ◽  
Tomáš Krulický ◽  
Veronika Machová
Keyword(s):  
Real Estate ◽  
Housing Prices ◽  
Rental Housing ◽  
Real Estate Market ◽  
Market Development ◽  
Basic Principles ◽  
The Real Estate ◽  
Experimental Part ◽  
The Real Estate Market ◽  
The City

The aim of the paper is an application of the basic principles in determining rental housing prices and factors that may affect them. In the experimental part, an analysis of rental housing in the city of Brno is performed for the 2020 – 2021 period affected by the covid-19 pandemic. The analysis is processed for individual city districts and divided according to apartment layout. Finally, all outputs are compared and the real estate market development is determined with a focus on the biggest changes and their occurrence.

Divorce and Dynamic Poverty

2017 ◽  
Author(s):  
Yue Chim Richard Wong
Keyword(s):  
Private Property ◽  
Housing Prices ◽  
Rental Housing ◽  
Divorce Rate ◽  
Social Changes ◽  
Housing Program ◽  
The Public ◽  
Public Rental Housing ◽  
Perverse Incentives ◽  
Household Incomes

The public rental housing program had an in-built incentive that provided encouragement for unhappy couples to divorce. The high and rising divorce rate in Hong Kong is therefore both a cause and an effect of higher housing prices and rents. It distorts the measured inequality in household incomes. These economic and social changes were magnified through a public rental housing program that at best failed to protect the relative and absolute wealth position of families without property and at worst created perverse incentives that increased the divorce rate among the poor. The present day public housing program is reproducing poverty across generations against a background of sustained rising private property prices.

scholarly journals Assessing the Impact of Public Rental Housing on the Housing Prices in Proximity: Based on the Regional and Local Level of Price Prediction Models Using Long Short-Term Memory (LSTM)

2020 ◽  
Vol 12 (18) ◽  
pp. 7520
Author(s):  
Hyunsoo Kim ◽  
Youngwoo Kwon ◽  
Yeol Choi
Keyword(s):  
Prediction Models ◽  
Short Term Memory ◽  
Housing Prices ◽  
Rental Housing ◽  
Short Term ◽  
Price Prediction ◽  
Public Rental Housing ◽  
Long Short Term Memory ◽  
The Impact ◽  
The City

Providing adequate public rental housing (PRH) of a decent quality at a desirable location is a major challenge in many cities. Often, a prominent opponent of PRH development is its host community, driven by a belief that PRH depreciates nearby property values. While this is a persistent issue in many cities around the world, this study proposed a new approach to assessing the impact of PRH on nearby property value. This study utilized a machine learning technique called long short-term memory (LSTM) to construct a set of housing price prediction models based on 547,740 apartment transaction records from the city of Busan, South Korea. A set of apartment characteristics and proximity measures to PRH were included in the modeling process. Four geographic boundaries were analyzed: The entire region of Busan, all neighborhoods of PRH, the neighborhoods of PRH in the “favorable,” and the “less favorable” local housing market. The study produced accurate and reliable price predictions, which indicated that the proximity to PRH has a meaningful impact on nearby housing prices both at the city and the neighborhood level. The approach taken by the study can facilitate improved decision making for future PRH policies and programs.

scholarly journals International Real Estate Review

2020 ◽  
Vol 23 (3) ◽  
pp. 337-365
Author(s):  
Chien-Wen Peng ◽  
◽  
Jerry T. Yang ◽  
Tyler Yang ◽  
◽  
...  
Keyword(s):  
Affordable Housing ◽  
Net Present Value ◽  
House Prices ◽  
Housing Prices ◽  
Rental Housing ◽  
Housing Tenure ◽  
Price Ratio ◽  
Model Framework ◽  
Housing Tenure Choice ◽  
The Government

This paper develops a theoretical model for equilibrium rent-to-price ratios from the competition between households and investors in the housing market. Households make their housing tenure choice in terms of rent vs. buy such as minimizing the cost of occupying a housing unit. On the other hand, investors choose between investing in rental housing vs. other investment opportunities in order to maximize their net present value. In the face of limited housing inventory, households and investors bid against one another which determines the allocation of the housing units among households (owner occupied properties) and investors (rental properties). We derive the sensitivity of the equilibrium rent-to-price ratio with respect to various market parameters, and subsequently analyze their potential impacts on the homeownership rate in the community. We show that some government mortgage programs subsidize homeownership to increase the affordability of owning a house, but may also provide even more incentive to the housing investors. Unless the government can effectively control the eligibility of borrowers, such affordable mortgage programs could work against their objectives and lead to higher housing prices and lower homeownership rates. Our model framework can be used to analyze the potential impacts of some of the new affordable housing policies on house prices or homeownership rates before adopting them.

scholarly journals A Pricing Model for Urban Rental Housing Based on Convolutional Neural Networks and Spatial Density: A Case Study of Wuhan, China

2022 ◽  
Vol 11 (1) ◽  
pp. 53
Author(s):  
Hang Shen ◽  
Lin Li ◽  
Haihong Zhu ◽  
Feng Li
Keyword(s):  
Neural Networks ◽  
Housing Prices ◽  
Rental Housing ◽  
Housing Price ◽  
Coefficient Of Determination ◽  
Spatial Density ◽  
Pricing Models ◽  
One Dimensional ◽  
Relevant Variables ◽  
The Government

With the development of urbanization and the expansion of floating populations, rental housing has become an increasingly common living choice for many people, and housing rental prices have attracted great attention from individuals, enterprises and the government. The housing rental prices are principally estimated based on structural, locational and neighborhood variables, among which the relationships are complicated and can hardly be captured entirely by simple one-dimensional models; in addition, the influence of the geographic objects on the price may vary with the increase in their quantities. However, existing pricing models usually take those structural, locational and neighborhood variables as one-dimensional inputs into neural networks, and often neglect the aggregated effects of geographical objects, which may lead to fluctuating rental price estimations. Therefore, this paper proposes a rental housing price model based on the convolutional neural network (CNN) and the synthetic spatial density of points of interest (POIs). The CNN can efficiently extract the complex characteristics among the relevant variables of housing, and the two-dimensional locational and neighborhood variables, based on the synthetic spatial density, effectively reflect the aggregated effects of the urban facilities on rental housing prices, thereby improving the accuracy of the model. Taking Wuhan, China, as the study area, the proposed method achieves satisfactory and accurate rental price estimations (coefficient of determination (R2) = 0.9097, root mean square error (RMSE) = 3.5126) in comparison with other commonly used pricing models.

Housing Inflation: Policy Guidelines from Shariah Perspective

2019 ◽  
Vol 16 (1) ◽  
pp. 70-81
Author(s):  
Azrul Azlan Iskandar Mirza ◽  
Asmaddy Haris ◽  
Ainulashikin Marzuki ◽  
Ummi Salwa Ahmad Bustamam ◽  
Hamdi Hakiem Mudasir ◽  
...  
Keyword(s):  
Content Analysis ◽  
Housing Prices ◽  
Construction Materials ◽  
Housing Price ◽  
Developed Countries ◽  
Control Element ◽  
Recent Issue ◽  
Analysis Methodology ◽  
The Government ◽  
Developing And Developed Countries

The soaring housing prices in Malaysia is not a recent issue. It is a global phenomenon especially in developing and developed countries, driven by factors including land price, location, construction materials cost, demand, and speculation. This issue demands immediate attention as it affects the younger generation, most of whom could not afford to buy their own house. The government has taken many initiatives and introduced regulations to ensure that housing prices are within the affordable range. This article aims to introduce a housing price control element from the Shariah perspective, as an alternative solution for all parties involved in this issue. It adopts content analysis methodology on policy from Shariah approved sources.

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