Housing affordability: Beyond the income and price terms, using China as a case study

Cai, Wenjie; Lu, Xinhai

doi:10.1016/j.habitatint.2015.01.021

Cited by 71 publications

(49 citation statements)

References 35 publications

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“…Shanghai, one of the financial, trade, economic and shipping hubs in the world, is located on China's east coast. Since the implementation of housing reforms that transformed the housing system from an administrative allocation model to a market mechanisms model in 1980, housing prices in Shanghai have ballooned over the years [42]. At present, Shanghai has become one of the most expensive housing markets, with a large number of housing transactions.…”

Section: Study Areamentioning

confidence: 99%

Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data—A Case Study of Shanghai, China

Chen

Yao

Zhu

et al. 2020

IJGI

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Diverse urban environmental elements provide health and amenity value for residents. People are willing to pay a premium for a better environment. Thus, it is essential to assess the benefits and values of these environmental elements. However, limited by the interpretability of the machine learning model, existing studies cannot fully excavate the complex nonlinear relationships between housing prices and environmental elements, as well as the spatial variations of impacts of urban environmental elements on housing prices. This study explored the impacts of urban environmental elements on residential housing prices based on multisource data in Shanghai. A SHapley Additive exPlanations (SHAP) method was introduced to explain the impacts of urban environmental elements on housing prices. By combining the ensemble learning model and SHAP, the contributions of environmental characteristics derived from street view data and remote sensing data were computed and mapped. The experimental results show that all the urban environmental characteristics account for 16 percent of housing prices in Shanghai. The relationships between housing prices and two green characteristics (green view index from street view data and urban green coverage rate from remote sensing) are both nonlinear. Shanghai's homebuyers are willing to pay a premium for green only when the green view index or urban green coverage rate are of higher value. However, there are significant differences between the impacts of the green view index and urban green coverage rate on housing prices. The sky view index has a negative influence on housing prices, which is probably because the high-density and high-rise residential area often has better living facilities. Residents in Shanghai are willing to pay a premium for high urban water coverage. The case of Shanghai shows that the proposed framework is practical and efficient. This framework is believed to provide a tool to inform the decisions of housing buyers, property developers and policies concerning land-selling and buying, property development and urban environment improvement.

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Section: Study Areamentioning

confidence: 99%

Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data—A Case Study of Shanghai, China

Chen

Yao

Zhu

et al. 2020

IJGI

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“…Community environment such as social networks, safety and security is a predictor of residential satisfaction [41,42]. Job opportunities in the neighborhood have an impact on neighborhood satisfaction [38,43] and residential satisfaction [31,44]. Community relationships or having friends in the neighborhood is a powerful predictor of neighborhood satisfaction [30,45].…”

Section: Community Environmentmentioning

confidence: 99%

Factors Affecting Residential Satisfaction in Slum Rehabilitation Housing in Mumbai

2020

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Affordable housing for the low-income population, who mostly live in slums, is an endemic challenge for cities in developing countries. As a remedy for the slum-free city, most of the major metropolis are resorting to slum rehabilitation housing. Rehabilitation connotes the improved quality of life that provides contentment, yet what entails residential satisfaction in such low-income situations remains a blind spot in literature. The study aims to examine the factors affecting residential satisfaction of slum rehabilitation housing in Mumbai, India. Here, the moderation effects of sociodemographic characteristics between residential satisfaction and its predictors are elaborated using a causal model. Data on residents' perception of the residential environment were collected from 981 households in three different slum rehabilitation housing areas spatially spread across Mumbai. The causal model indicated that residential satisfaction was significantly determined by internal conditions of dwelling resulting from design, community environment and access to facilities. Gender, age, mother tongue, presence of children, senior citizens in the family, and education moderate the relationship between residential satisfaction and its predictors. The need for design and planning with the user's perspective is highlighted to improve the quality of life.Sustainability 2020, 12, 2344 2 of 22 entails residential satisfaction in such low-income situations remains a blind spot in literature. There is a need to find ways to improve the housing conditions that take into consideration the satisfaction and well-being of the residents [7].When moving from slums to newly built high-rise apartment buildings (slum rehabilitation housing), the residents' physical living conditions were certainly improved. Little is known regarding their social and economic changes. Would the residents sustain in the slum rehabilitation housing in the coming years? This study aims to find out the residential satisfaction of the urban poor living in the slum rehabilitation housing in Mumbai (that is, how satisfied are the residents with the dwelling, building, and neighborhood overall), and its determinants. In doing so, the study explores the moderation effects of sociodemographic characteristics on the relationship between residential satisfaction and its proposed predictors. The goal is to derive recommendations for improving the existing slum rehabilitation housing under the slum rehabilitation program. The results can impact 900 million people including the 5.2 million Mumbai population who live in urban informal settlements or slums [8]. Additionally, the study contributes to developing approaches for sustainable urban renewal. According to Renigier-Biłozor et al.[9], a rating system shortens the time and brings objectivity in the decision-making process. So, understanding the factors affecting residential satisfaction is crucial for planning an effective and sustainable rehabilitation housing policy.The traditional mass housing design focuses on qu...

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“…The affordability highlights that financial costs related to housing should be at a level that does not threaten or forsake the satisfaction of other basic needs of the individual or the household [22]. It not only includes the housing prices, costs of rental or related services, and the expenditure on housing maintenance or repairs, but also the expenditure on transportation and other living costs such as food, clothing, healthcare, and so on [18,23,24]. At the same time, the homeownership affordability was often overlooked, which drives low-to-middle-income homeowners to tolerate a much higher financial burden, affecting their housing affordability [25].…”

Section: Affordabilitymentioning

confidence: 99%

Exploring the Adequacy of Massive Constructed Public Housing in China

et al. 2019

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Public housing programs are an effective strategy to provide adequate housing, not only in developed countries, but also developing countries. This study holistically investigates the sitting occupants’ perception of adequate housing towards their public housing units using Chongqing, a typical city in western China, as a case study. Results showed that generally, the public rental housing (PRH) programs were perceived to be adequate by their residents in the estates sampled. The components of neighborhood environment, housing unit, and affordability were the top three factors affecting the overall housing adequacy. The importance of physical aspects as well as the nonphysical aspects of adequate housing is likely to change according to their residential purpose. Therefore, the residential purpose of residents should be taken into consideration when planning the physical and nonphysical elements of public housing programs. Meanwhile, socioeconomic characteristics of age, family income, family members, residence length, and housing types have significant effects on overall housing adequacy and its components. These findings shed some useful insights on the sustainable development of public housing in China and provide a useful reference for future public housing developments in developing countries. The provision of adequate housing also helps to attract and retain talent, which consequently improves the competitiveness of the city.

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Housing affordability: Beyond the income and price terms, using China as a case study

Cited by 71 publications

References 35 publications

Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data—A Case Study of Shanghai, China

Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data—A Case Study of Shanghai, China

Factors Affecting Residential Satisfaction in Slum Rehabilitation Housing in Mumbai

Exploring the Adequacy of Massive Constructed Public Housing in China

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