Examining household relocation pressures from rising transport and housing costs – An Australian case study

Li, Tiebei; Dodson, Jago; Sipe, Neil

doi:10.1016/j.tranpol.2017.03.016

Cited by 24 publications

(9 citation statements)

References 18 publications

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“…This finding implies that urban residents (just like academia, housing providers and professionals) are also beginning to place very high importance on non-economic factors. This assertion is in line with the debates of some researchers who demonstrated that the relationship between housing cost, housing location, and cost of transportation ensures an actual measure of housing affordability [87].…”

Section: Discussionsupporting

confidence: 83%

Exploring the Severity of Factors Influencing Sustainable Affordable Housing Choice: Evidence from Abuja, Nigeria

Ezennia

Hoskara

2019

Sustainability

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It is a shared global experience that a house which is already expensive will become even more costly. This experience is partly because housing supply has always failed to satisfy demand. In many developing countries, the issues of affordable housing supply center on shortage and poor distribution. Recent studies on this subject reveal that distribution-related problems can be addressed through choice reconciliations. Therefore, understanding how housing affordability problems affect housing choice enables a broader interpretation of the issue. Thus, critical in housing policy making and implementation, as well as towards sustainable development/delivery of affordable housing programs. In Nigeria, housing choice has never been investigated, neither has it been studied within the framework of sustainability. It is not a common strategy to incorporate sustainability into the concept of affordable housing choice. However, integrating sustainability into the concept of affordable housing choice allows for the introduction of wide-ranging and broader criteria such as environmental and social factors, which are routinely neglected in housing choice literature. Therefore, this study aims at filling this literature gap by identifying the determinants of sustainable affordable housing choice (SAHC) in the study area. The purpose is to establish the severity of the identified factors based on respondents’ perception and discuss the agreement levels amongst the three respondent groups. Regarding this, a comprehensive list of 43 different factors contributing to SAHC were determined through a systematic literature review. Based on which a survey of 83 affordable housing applicants, 102 and 69 residents of affordable housing estate and shantytown respectively, was performed. Through statistical analysis, results reveal that the factors affecting SAHC cuts across economic, social and environmental dimensions. Also, there is an agreement (correlation) by each group and the overall ranking of all participants. The tests confidence level for all inferential statistics was 95%, which implies 0.05 level of significance. These figures indicate that the data were obtained from the same population and points to the relatedness of factors identified. Using principal component analysis (PCA), the 43 different factors were narrowed down to seven. The study findings show that “Housing price in relation to income” and “rental price in relation to income” are the most severe factors with relatively high overall scoring, which is consistent with similar studies in this domain. However, it was uncovered that respondents placed high priorities on other non-economic factors like security (safety), housing location and building type. The study presents an interesting topic, usually unexplored in the field of decisions and public policy. It argues that at present, the housing affordability concerns and affordable housing choice determinants in the study area cannot be restrictedly defined in economic terms. Our findings build on previous studies and reiterate the need to consider a broader view towards affordable housing problem. It offers salient information to stakeholders and real estate companies, which could aid sustainable development/delivery of housing projects that are affordable.

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Section: Discussionsupporting

confidence: 83%

Exploring the Severity of Factors Influencing Sustainable Affordable Housing Choice: Evidence from Abuja, Nigeria

Ezennia

Hoskara

2019

Sustainability

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Section: Low-income Renter Commuting and Housing Patterns In Australimentioning

confidence: 99%

“…Studies of commuting that attended to income, travel and housing cost questions have been investigated have by Li et al (2018) and Saberi et al (2017). Li et al (2018) were concerned with the distribution of households in terms of JTW costs by motor vehicle and the likely consequences of an increase in fuel costs from either rising oil prices or carbon pricing. They analysed JTW data for Brisbane to calculate like cost pressures on households in terms of residential location relative to work location and the likelihood of higher fuel prices motivating residential relocation to more travel-cost efficient zones (Li et al 2018).…”

Section: Low-income Renter Commuting and Housing Patterns In Australimentioning

confidence: 99%

Commuting burden and housing affordability for low-income renters

Dodson

Taylor³

et al. 2020

AHURI Final Report

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“…The last set of contributions includes five papers which, in different ways, highlight further promising directions for research on households transport costs, economic stress and energy vulnerability. The first two articles in this section (Coulombel, 2017;Li et al, 2017) focus on the interplay between transport and housing costs, a theme which has received renewed attention in recent 2017s, although perhaps more in North America than in Europe, and from a housing research perspective (for instance, see the special issue of Housing Policy Debate on 'location affordability'- Renne & Sturtevant, 2016). Using the tools of mainstream urban economics, Coulombel (2017) theoretically investigates how prudential measures in housing access impact transport costs, vulnerability to fuel price increases and urban socio-spatial configurations.…”

Section: An Overview Of Contributionsmentioning

confidence: 99%

“…To a certain extent, the article by Li, Dodson and Sipe (2017) provides an empirical illustration of the mechanisms described in Coulombel's model. The study offers a spatial analysis of the costs associated with transport fuel and housing in Brisbane.…”

Section: An Overview Of Contributionsmentioning

confidence: 99%