Proximity, accessibility and choice: A matter of taste or condition?

Haugen, Katarina; Holm, Einar; Strömgren, Magnus; Vilhelmson, Bertil; Westin, Kerstin

doi:10.1111/j.1435-5957.2011.00374.x

Cited by 31 publications

(19 citation statements)

References 46 publications

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“…Several studies have reported that commute length is a major consideration in home and work location choice (17,18). In addition, accessibility to shopping and retail destinations (18,19) as well as recreational opportunities, health care facilities, and open space (20) has been shown to be significant in residential location choice. Zondag and Pieters (21) have shown that households are less likely to move from high accessibility locations.…”

Section: Factors Affecting Residential Relocationmentioning

confidence: 99%

Joint Model of Residential Relocation Choice and Underlying Causal Factors

Kortum

Paleti

Bhat

et al. 2012

Transportation Research Record

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Residential location choice is a key determinant of activity-travel behavior and yet, little is known about the underlying reasons why people choose to move, or not move, residences. Such understanding is critical to being able to model residential location choices over time, and design built environments that people find appealing. This paper attempts to fill this gap by developing a joint model of the choice to move residence and the primary reason for moving (or not moving). The model is estimated on the Florida subsample of the 2009 National Household Travel Survey. Model results shed considerable light on the socio-economic and demographic variables that impact household decision whether to move residence and the primary reason underlying that decision. Kortum, Paleti, Bhat and Pendyala 1 INTRODUCTIONResidential location choice is a topic of much interest because decisions about where to work, shop, go to school, or pursue recreational activities are all inextricably tied to people's residential location (1). Although there is considerable literature devoted to modeling and describing residential location choice behavior, an understanding of the underlying factors that contribute to a household decision to relocate residence (or not) continues to be challenging and in need of further enquiry. To set the context, we first briefly identify the factors that have been identified as determinants of residential relocation in the next section, followed by an overview of the methods used for residential relocation modeling in the subsequent section. Within each of these two sections, we position and highlight the salient aspects of this study.

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Section: Factors Affecting Residential Relocationmentioning

confidence: 99%

Joint Model of Residential Relocation Choice and Underlying Causal Factors

Kortum

Paleti

Bhat

et al. 2012

Transportation Research Record

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“…Consequently, spatial access to services should be complemented by research on travel behaviour regarding socio‐economic background, age, gender, culture, traditions, etc. (see e.g., Haugen et al focusing on the temporal dimension or Rodriguez and Rogers ), on the qualitative features of services (e.g., capacity of the facility, opening hours, quality of service), and research aimed at the perception of an acceptable level of SGI accessibility (an overview of discourses of ‘access’ is provided by Cass et al ). In this respect, the results of the present study should serve as an initial framework for subsequent research.…”

Section: Discussionmentioning

confidence: 99%

Questioning territorial cohesion: (Un)equal access to services of general interest

Malý

2018

Papers in Regional Science

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Although the debates about access to services of general interest have been at the core of the EU territorial cohesion discourse since the late 1990s, the impact of unequal accessibility to living conditions has yet be the subject of close inspection. The paper examines the relationship between the accessibility of services of general interest and demographic and socio‐economic conditions in a specific Czech region. The analysis reveals inter‐municipal disparities and identifies spatially excluded areas. Despite the negative association of insufficient access with education and depopulation characteristics, the results suggest that demographic and socio‐economic development stems from a more complex set of factors.

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“…Improvements in spatial modelling software and GIS technology are causing an influx of potential-based accessibility modelling related to market access and economic development (Vickerman et al 2010), labour productivity (Polyzos and Arambatzis 2006), planning (Geertman and Ritsema Van Eck 1995), and recreation (Weber and Sultana 2012). As an indicator for proximity, potential is often used to indicate centrality/isolation in research assessing, for example, health care access (Haynes et al 2003;Rosero-Bixby 2004), social well-being (Middleton et al 2003), distance-to-work (Shuttlesworth and Gould 2010), and access to services (Haugen et al 2012). Spatial land-use land-cover change and ecosystem impact research often considers population potential as an explanatory variable, particularly in relation to urban land cover and threats to the natural environment (Braimoh and Onishi 2007;Verburg et al 2004) The potential model has also been used in smart interpolation applications to estimate the gridded distribution of human population (Deichmann and Eklundh 1991;Sweitzer and Langaas 1995;Wang and Guldmann 1996).…”

Section: Population Potentialmentioning

confidence: 99%

Assessment of a gravity-based approach to constructing future spatial population scenarios

Jones

2014

J Pop Research

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Spatially explicit projections of global population are of growing importance in scenario-based assessment of anthropogenic climate change and climate related vulnerability. However, to date there are very few spatially explicit projections of the future distribution of global population, and methods for producing such projections are in their infancy. One of the most sophisticated methods currently available, developed as part of the Greenhouse Gas Initiative at the IIASA (Grübler et al. in Technol Forecast Soc Change 74 (7):980-1029, 2007), uses the gravity-based population potential model to produce scenario dependent projections. Population potential is widely used as a descriptive tool and in models of spatial allocation. While it is attractive through its simplicity and ability to summarize complex patterns, the population potential model suffers from several well documented problems. This paper provides an assessment of population potential as a tool for constructing future spatial population scenarios, particularly within the context of the pitfalls associated with the model. Despite improvements over other existing methods, it was found that the model is capable of producing only a narrow range of spatial outcomes, is subject to border effects, is restrictive in its handling of urban and rural population dynamics, and will in most cases misallocate population loss. The potential-allocation approach to producing large-scale spatial population scenarios is promising, but several methodological modifications are necessary to address the model's shortcomings.

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Proximity, accessibility and choice: A matter of taste or condition?

Cited by 31 publications

References 46 publications

Joint Model of Residential Relocation Choice and Underlying Causal Factors

Joint Model of Residential Relocation Choice and Underlying Causal Factors

Questioning territorial cohesion: (Un)equal access to services of general interest

Assessment of a gravity-based approach to constructing future spatial population scenarios

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