The Impact of Social Attributes and Regional Characteristics on Future Residential Choice

Kondo, Noriaki; Nakano, Katsura; Tanaka, Katsuya

doi:10.11361/journalcpij.54.766

Cited by 5 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Two types of statistical analysis, the chi-square test and multivariable logistic regression analysis, were used on the obtained data set to clarify the significant association. The authors used the chi-square test to answer RQ2, as it is a simple but robust approach in identifying a significant association between two variables and it has been used to investigate the residential preference in the existing studies (Kondo et al , 2019b). The multivariable logistic regression analysis has been frequently used to predict whether a given event occurs or not by calculating the probability of its occurrence (Nakaya et al , 2018; Bateman and Edwards, 2002).…”

Section: Methodsmentioning

confidence: 99%

“…Residential preference refers to the relative attractiveness of a residence and is the so-called stated preference, whereas residential choice refers to actual behaviour and is the so-called revealed preference (Jansen et al , 2011). A number of studies have investigated residential preferences or choices, including case studies in Burkina Faso (Traoré, 2019), China (Xiaoyu et al , 2007), Colombia (Stokenberga, 2019), France (Palma et al , 2007), Germany (Heldt et al , 2016), Israel (Frenkel et al , 2013), Japan (Kondo et al , 2019a, b; Nakaya et al , 2019; Shimizu et al , 2017), Pakistan (Aslam et al , 2019) and the UK (Kim et al , 2005). For instance, Stokenberga (2019) showed that individuals who require support from family members in Bogota, Columbia, strongly prefer to live close to them.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Relative importance of safety against natural disasters for residential selection: a case study at Osaka prefecture, Japan

Takabatake

Hasegawa

Nishigaki

2023

IJDRBE

View full text Add to dashboard Cite

Purpose This study aims to clarify the following research questions: to what extent do people consider natural disaster risks as important for residential selection? what personal demographics and attitudes toward natural disaster risks are associated with the relative importance of natural disasters for residential selection? and to what extent do the associated personal attributes influence the relative importance of natural disasters for residential selection? Design/methodology/approach An internet-based survey was performed to collect 2,000 responses from residents of Osaka Prefecture, Japan, to gauge people’s relative importance of safety against natural disasters regarding residential preference. The obtained results were analysed using two types of statistical analysis, specifically chi-square test and multivariable logistic regression analyses. Findings It was found that 37.3% of the respondents in Osaka Prefecture, Japan, considered the “safety against natural disasters” relatively important when selecting a residential location. The statistical analysis also demonstrated that those having a relatively higher level of disaster awareness and preparedness were 1.41 times more likely to prefer to live in a place that is safer from natural disasters. Thus, it was suggested that disaster education aimed at raising the level of people’s disaster awareness could be effective to increase the number of people who choose to live in a safer place from natural disasters. Originality/value Living in an area that is safer from natural disasters can effectively minimize human and property damage. Recently, several measures have been taken in Japan to guide people to live in a safer place. The clarification of the extent to which people consider natural disaster risks as important for residential selection and the understanding of the categories of the people who are likely to do so is important to develop more effective natural disaster measures; however, there has been less attention on such investigation. Therefore, this study conducted an internet-based survey and examined it.

show abstract

Section: Methodsmentioning

confidence: 99%