Intentions to Move and Actual Moving Behaviour in The Netherlands

Groot, Carola de; Manting, Dorien; Mulder, Clara H.

doi:10.1080/02673037.2011.542094

Cited by 79 publications

(76 citation statements)

References 25 publications

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“…Mobility has long been viewed as the decision to act on expectations about increases in the levels of residential consumption (Hey and McKenna 1979;Kan 1999;Lu 1999b;Sell and De Jong 1983;Clark and Dieleman 1996;Mulder 2006). There is now a substantial literature relating residential mobility/migration to levels of residential satisfaction (Lu 1998(Lu , 1999a and intentions (DeGroot et al 2011a;DeGroot, Mulder, and Manting 2011b;Clark and Lisowski 2016) as well as determinants of place attachment (Clark, Duque, and Palomares 2015).…”

Section: Applying Prospect Theorymentioning

confidence: 99%

Loss aversion and duration of residence

Morrison¹,

Clark²

2016

DemRes

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Section: Applying Prospect Theorymentioning

confidence: 99%

Loss aversion and duration of residence

Morrison¹,

Clark²

2016

DemRes

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“…This was preferred because we assumed that car ownership among households depends more on the total income a household has than on standardised household income, especially so among young households, because they have a relatively low household income. In line with other studies (for example, (De Groot et al, 2011;Licaj et al, 2012)), household disposable income was categorised in quartiles, corresponding to < 7,600 euros/year, 7,600-15,800 euros/year, 15,800-24,800 euros/year, and > 24,800 euros/year. The age of the household's reference person was calculated by subtracting year of birth from 2012; four age categories were considered (18-20, 21-23, 24-26 and 27-29 years, respectively).…”

Section: Description Of the Variablesmentioning

confidence: 99%

Determinants of car ownership among young households in the Netherlands: The role of urbanisation and demographic and economic characteristics

Oakil

Manting

Nijland

2016

Journal of Transport Geography

Self Cite

113

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Determinants of car ownership among young households in the Netherlands General rightsIt is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulationsIf you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. AbstractIn the Netherlands, car ownership among young adults has slowly decreased in recent decades. The main causes of this trend are still unclear. Using a unique dataset in which vehicle registration data were combined with population and income register data for 2012/2013, this paper explores how car ownership among young Dutch households varies with household composition, urbanisation level (of household location), household income, employment status and ethnic background. Logistic regression analysis of this data revealed that urbanisation level and household composition are essential factors influencing car ownership. In addition, we found significant interaction effects between these two factors: the influence of urbanisation level on car ownership was much stronger for young couples than for young families or singles. Our results imply that increasing urbanisation and postponement of parenthood could reduce future car ownership among young adults in general. However, the increasing number of young families moving to more urbanised areas could increase future car ownership in cities.

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“…A great number of longitudinal and cross-sectional studies have shown a discrepancy between positive attitudes towards moving and actual mobility behavior. Those who intend to move have a different probability of realizing their intention to move, as some households cannot find a suitable or affordable dwelling that meets their preferences [16,17]. However, backed by sufficient financial resources, information, and social network, the desire to move can be actually achieved, and is perceived as generating positive outcomes [18].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The Chinese government has recently launched an ambitious plan for PRH in the 12th Five-Year Plan (2011)(2012)(2013)(2014)(2015). According to the Ministry of Housing and Urban-Rural Development (MOHURD), 16.6 million units of PRH were completed by the end of 2014, helping a large number of families that are struggling with housing problems to achieve their dream of having a home of their own [2]. Currently, the PRH has become an important part of the national basic service system.…”

Section: Introductionmentioning

confidence: 99%

Simulating the Barriers of Transaction Costs to Public Rental Housing Exits: The Case of Wuhan, China

Ning

Sun

et al. 2018

Sustainability

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Abstract:The purpose of this paper is to explore and simulate the barriers of transaction costs to public rental housing (PRH) exits in China. The two-period model of household consumption utility, with the constraints of transaction costs, is employed to conduct our analysis. The overall results show that if transaction costs go beyond the tenants' ability to afford them, the tenants will continue to live in the current PRH units, resulting in an obstruction of PRH exits. When the rent ratio in the two periods is higher than 1 and continues to rise, a higher proportion of transaction costs for household consumption contributes to a greater impeding effect, so the barriers' effect with regards to concurrent changes in rent and income is similar to that of changes only in rent. We observe a close relationship between the acceptable maximum transaction costs and the variety of housing rents. If the tenants cannot afford the maximum transaction cost or housing rent in the private market, they will stop searching for a more advantageous housing and will prefer living in the current PRH units. Moreover, the proportion of maximum acceptable transaction costs does not vary with the changes in the expected household income; income growth only increases the absolute value of transaction costs, not the relative one. Therefore, the government should not only provide housing search services to help tenants leave the public rental sector, but should also adjust the supply of affordable housing for households with housing stress.

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Intentions to Move and Actual Moving Behaviour in The Netherlands

Cited by 79 publications

References 25 publications

Loss aversion and duration of residence

Loss aversion and duration of residence

Determinants of car ownership among young households in the Netherlands: The role of urbanisation and demographic and economic characteristics

Simulating the Barriers of Transaction Costs to Public Rental Housing Exits: The Case of Wuhan, China

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