Research on the Essential Characteristics of Indemnificatory Housing

2012 ◽  
Vol 209-211 ◽  
pp. 1611-1614
Author(s):  
Ke Zhen Sun
Keyword(s):  
Affordable Housing ◽  
Modern Society ◽  
Security System ◽  
Social Conditions ◽  
Housing Security ◽  
Individual Character ◽  
Security Problem

This article discusses housing security system in our society. From the society attribute this paper gives account of the housing security problem under the different social conditions. The article also argues the critical roles of housing security system under the modern society. The paper also reviews the progress from welfare or public room to indemnificatory or affordable housing in China, and many essential characteristics including general and individual character are well analyzed.

Sleep, health, and society

2018 ◽  
Author(s):  
Francesco P. Cappuccio ◽  
Michelle A. Miller ◽  
Steven W. Lockley ◽  
Shantha M. W. Rajaratnam
Keyword(s):  
Sleep Deprivation ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
Modern Society ◽  
Social Conditions ◽  
Sleep Health ◽  
Health And Wellbeing

Sleep disturbances are common in modern society. Since the beginning of the century, populations have shown a decline in sleep duration, owing to changes in environmental and social conditions. Industry was the first to appreciate the detrimental effects of sleep disturbances on health and wellbeing. It has taken, however, many decades to understand the implications for individuals and populations of sustained sleep deprivation.

Research on Optimization of China’s Urban Indemnificatory Housing Supply

2012 ◽  
Vol 479-481 ◽  
pp. 1318-1324
Author(s):  
Zhi Qing Li ◽  
Jin Xin Tian ◽  
Tian Hua Song
Keyword(s):  
Sustainable Development ◽  
Robust Optimization ◽  
Security System ◽  
Uncertain Demand ◽  
Box Constraints ◽  
Housing Provision ◽  
Rapid Urbanization ◽  
The Past ◽  
Housing Security ◽  
Urban Sustainable Development

The contradiction between the effective supply and the uncertain demand in housing security system, which is an important part of the urban social security system, has been a major obstacle to urban sustainable development since 1998, and how to effectively deal with it is becoming more and more important. In this paper, the uncertain demand of indemnificatory housing, which was caused by the rapid urbanization, is considered, and the models for indemnificatory housing provision under box constraints, ellipsoid constraints and polyhedral constraints are constructed respectively by using distributional robust optimization, and at the same time, the reliability of optimal models in theory is proved in the form of theorem. In the end, as application of models, the paper takes Beijing as an example, and conducts empirical research on provision of indemnificatory housing during the past five years (2006-2010), which shows the effectiveness of the method.

scholarly journals METODOLOGI FEMINIS: DESAIN PENELITIAN TERHADAP PERCERAIAN

EGALITA ◽  
2012 ◽  
Author(s):  
Ulfah Muhayani, MPP.
Keyword(s):  
Research Methodology ◽  
Modern Society ◽  
Feminist Research ◽  
Social Conditions ◽  
Research Model ◽  
Patriarchal Society ◽  
The Social

Since its emergence in 1980s, Feminist Research Methodology has become a legitimate, relevant and popular research model. Its quality, and the validity of its findings are beyond contention, and over the years it has produced a significant output that has provided guidelines for policies central to modern society. For its founders and developers, Feminist Research Methodology is designed to study the social conditions of women in a sexist, ‘malestream’ and patriarchal society. Yet, this methodology is rarely used in studies dealing with women problems in Indonesia. Thus paper aims discuss FMR and its application of the model in divorce studies.

scholarly journals Research and Implementation of the Text Matching Algorithm in the Field of Housing Law and Policy Based on Deep Learning

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yin Xu ◽  
Hong Ma
Keyword(s):  
Deep Learning ◽  
Affordable Housing ◽  
Legal System ◽  
Learning Algorithm ◽  
Matching Algorithm ◽  
Advantages And Disadvantages ◽  
Housing Security ◽  
Law And Policy ◽  
Depth Learning ◽  
Text Matching

Machine learning enables machines to learn rules from a large amount of data input from the outside world through algorithms, so as to identify and judge. It is the main task of the government to further emphasize the importance of improving the housing security mechanism, expand the proportion of affordable housing, increase financial investment, improve the construction quality of affordable housing, and ensure fair distribution. It can be seen that the legal system of housing security is essentially a system to solve the social problems brought by housing marketization, and it is an important part of the whole national housing system. More and more attention has been paid to solving the housing difficulties of low- and middle-income people and establishing a housing security legal system suitable for China’s national conditions and development stage. Aiming at the deep learning problem, a text matching algorithm suitable for the field of housing law and policy is proposed. Classifier based on matching algorithm is a promising classification technology. The research on the legal system of housing security is in the exploratory stage, involving various theoretical and practical research studies. Compare the improved depth learning algorithm with the general algorithm, so as to clearly understand the advantages and disadvantages of the improved depth learning algorithm and depth learning algorithm. This paper introduces the practical application of the deep learning model and fast learning algorithm in detail. Creatively put forward to transform it into an independent public law basis or into an independent savings system.

Regulating Landlords: Unintended Consequences for Poor Tenants

2018 ◽  
Vol 17 (3) ◽  
pp. 658-674 ◽  
Author(s):  
Meredith Greif
Keyword(s):  
Housing Market ◽  
Affordable Housing ◽  
Unintended Consequences ◽  
Security Community ◽  
Perceptions Of Risk ◽  
Housing Security ◽  
Semistructured Interviews

This paper explores “hidden” ways by which cities may inadvertently undermine access to decent, stable, affordable housing—especially for vulnerable renter households—through regulations that sanction landlords for tenant activities on their property. In–depth semistructured interviews and ethnographic observations with 57 small– and medium–sized landlords in Cleveland, followed over 28 months, show that perceptions of risk, flowing specifically from “nuisance” and water regulations that rendered landlords accountable for tenant activities over which they perceived little control, were common. To manage perceived precarity, landlords reported measures that undermined tenants’ housing security—including excessive screening, hassling, elevated rent amounts, proclivity to evict, and divestment from the lower end of the housing market whose stock continues to dwindle across many cities. City regulations—meant to bolster housing security, community vitality, and infrastructure—appear to be understudied factors that paradoxically reinforce problems of housing insecurity and community decline many vulnerable tenants, and cities, continue to face.

Complementary policies for multidimensional problems: Does the low-income housing tax credit complement homeless services in the USA?

Urban Studies ◽  
2020 ◽  
pp. 004209802094168
Author(s):  
Saerim Kim ◽  
Andrew A Sullivan
Keyword(s):  
Affordable Housing ◽  
Low Income ◽  
Tax Credit ◽  
Housing Security ◽  
Homeless Services ◽  
Multidimensional Problems ◽  
The Usa ◽  
Urban Problems ◽  
Security Network ◽  
Low Income Housing

Governments use multiple policies targeting different severities of housing insecurity to address multidimensional urban problems such as homelessness, where poverty and unaffordable housing intertwine with many causes and contexts. Previous studies have focused on the determinants of housing insecurity or using affordable housing alone but not on how using multiple policies jointly reduces homelessness. We explore if affordable housing created by the low-income housing tax credit (LIHTC) complements homeless services through the housing security network in decreasing homelessness in communities. Utilising a first-differenced model with panel data from 2007 to 2015, results indicate that LIHTC unit developments complement homeless services in moderately reducing homelessness when both policies are used relative to only using homeless services. Studying multiple policies addressing homelessness creates a useful application of theory on complementary policies to see how affordable housing with homeless services affects homelessness at the community level.

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