The Intention to Move and Residential Location Choice Behaviour

Kim, Jae Hong; Pagliara, Francesca; Preston, John

doi:10.1080/00420980500185611

Cited by 232 publications

(197 citation statements)

References 31 publications

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“…Price captures various location characteristics as seen in hedonic regression models (i.e., models, like Löchl and Axhausen 2010), but any models that include property price mention its significant negative impact. While some studies implement price as untransformed value (Andrew and Meen 2006;Kim et al 2005;Vyvere et al 1998;Zolfaghari et al 2012), others include a logarithmic price transformation (de Palma et al 2005(de Palma et al , 2007Habib and Miller 2009;Lee and Waddell 2010a,b). Several studies interact price with household income (Habib and Miller 2009;Zolfaghari et al 2012).…”

Section: Costs Price and Valuementioning

confidence: 99%

The role of location in residential location choice models: a review of literature

Schirmer

Eggermond²,

Axhausen

2014

JTLU

136

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Geospatial data available to researchers has increased tremendously over the last several decades, opening up opportunities to define residential location in multiple ways. is has led to a myriad of variables to define "location" in residential location choice models. In this paper, we propose a common classification for location variables and categorize findings from a wide range of studies. We find similar preferences but different measurement methods and market segments for locations across different study regions. Recent studies consider the residential unit as choice alternative, making it possible to include a detailed description of the built environment. However, these studies are still limited in number and the inclusion of socioeconomic environment is more common. Transport land-use models can benefit from the inclusion of points of interest, such as schools, network distances, and the distance to previous locations. For the results of location choice models to be transferable to different disciplines, and avoid multi-collinearity, it is necessary to present different model specifications, including variables of interest in different disciplines.

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Section: Costs Price and Valuementioning

confidence: 99%

The role of location in residential location choice models: a review of literature

Schirmer

Eggermond²,

Axhausen

2014

JTLU

136

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“…Habib and Kockelman (2008) estimated a series of NL and joint MNL models with full enumeration of all possible alternatives. Kim et al (2005) and Pinjari et al (2008a) developed NL and joint binary-ordered logit models, respectively, by using categories of locations to significantly reduce the dimensionality. Others have simply used non-MNL models with sampling of alternatives and ignored sampling biases (Yagi and Mohammadian 2008;Zhou and Kockelman 2008); this strategy, as demonstrated by Nerella and Bhat (2004) in their explorations of this subject, is highly discouraged.…”

Section: Residential Location Choicementioning

confidence: 99%

“…Some studies have linked short-and medium-term travel-related behaviors with residential mobility (e.g., Clark and Withers 1999;Prillwitz et al 2006;Prillwitz et al 2007) while numerous others made similar connections with residential location (e.g., Ben-Akiva and Bowman 1998; Eliasson and Mattsson 2000;Krizek 2003;Krizek 2006;Ng 2008;Pinjari et al 2008a;Pinjari et al 2008b;Sermons and Koppelman 2001;Waddell et al 2008). Few studies have, however, explicitly modeled these closely related decisions together; one example used a stated preference approach (Kim et al 2005). None, to the best of the authors' knowledge, has modeled residential mobility and location choice jointly in a hierarchical structure using revealed preference data, even though these two parts of the housing decision process are most likely interdependent (Wong 2002).…”

Section: Introductionmentioning

confidence: 99%

Residential mobility and location choice: a nested logit model with sampling of alternatives

2010

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Residential mobility and relocation choice are essential parts of integrated transportation and land use models. These decision processes have been examined and modeled individually to a great extent but there remain gaps in the literature on the underlying behaviors that connect them. Households may partly base their decision to move from or stay at a current location on the price and quality of the available alternatives. Conversely, households that are on the market for a new location may evaluate housing choices relative to their previous residence. How and the degree to which these decisions relate to each other are, however, not completely understood. This research is intended to contribute to the body of empirical evidence that will help answer these questions. It is hypothesized that residential mobility and location choice are related household decisions that can be modeled together using a two-tier hierarchical structure. This paper presents a novel nested logit (NL) model with sampling of alternatives and a proposed procedure for sampling bias correction. The model was estimated using fullinformation maximum likelihood estimation methods. The results confirm the applicability of this NL model and support similar findings from other empirical studies in the residential mobility and location choice literature.

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“…In a case study, Kim et al (2005) show that easy access to products, measured by travel time to the closest shop, has a statistically significant positive effect on house prices in Oxfordshire, UK.…”

Section: Product Varietymentioning

confidence: 99%

Does Height Affect Labor Supply? Implications of Product Variety and Caloric Needs

Micheli

2015

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The working papers published in the Series constitute work in progress circulated to stimulate discussion and critical comments. Views expressed represent exclusively the authors' own opinions and do not necessarily refl ect those of the editors. Terms of use: Documents in Ruhr Economic Papers #566

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The Intention to Move and Residential Location Choice Behaviour

Cited by 232 publications

References 31 publications

The role of location in residential location choice models: a review of literature

The role of location in residential location choice models: a review of literature

Residential mobility and location choice: a nested logit model with sampling of alternatives

Does Height Affect Labor Supply? Implications of Product Variety and Caloric Needs

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