Residential mobility, urban preference, and human settlement: A South Korean case study

Kim, Hyun; Woosnam, Kyle M.; Marcouiller, David W.; Aleshinloye, Kayode D.; Choi, Yeol

doi:10.1016/j.habitatint.2015.07.003

Cited by 52 publications

(46 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…When significant, they mostly predicted in line with what has been found in literature (e.g. Clark et al, 2014;Kim et al, 2015;Schirmer et al, 2014): for example, singles' preference for renting; the higher likelihood to live in a detached residence for households where a family member travels by private car; households with higher education level who tend to have a residence with more amenities; and wealthier households' preference for more bedrooms; etc.…”

Section: Hypothesis 1: Households' Residential Choice Is Informed By supporting

confidence: 80%

“…The first hypothesis of this paper is that based on characteristics of the household, predictions on their residential choice can be made, since choice options are constrained by these characteristics. They include socio-economic characteristics such as size and the composition of the household, the life cycle stage, household income, social class, lifestyle or ethnic background (Kim et al, 2015;Schirmer et al, 2014). Other common indicators of socio-economic situation considered in an African context include the level of education (Arku et al, 2011), the gender of the household head (Akampumuza & Matsuda, 2017;Goebel et al, 2010), household expenditures (Acheampong & Anokye, 2013) or the means of transportation (Diaz Olvera et al, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

“…stigma, safety, level of segregation, child-friendliness, etc. (Kim et al, 2015). • Proximity: this is a combination of location and accessibility, balancing travel distances/times to different points of interest for the household.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Finding a place to live in the city: analyzing residential choice in Kampala

Keunen

2020

Housing and Society

View full text Add to dashboard Cite

People are constantly moving to and within Kampala, Uganda. When choosing a place to settle, they have to find a balance between several housing preferences and constraints imposed by their socioeconomic situation. Moreover, their options might be limited because of the city's urban fabric: their housing preferences might not be available at their preferred location. This article analyzes the influence of households' socioeconomic situations on residential preferences and how these preferences interact with the existing morphology of the city, based on data from 2,058 surveys in the Greater Kampala Metropolitan Area collected in 2018. Using regression and spatial clustering analysis, results show that certain socioeconomic factors such as household composition, education level, and traveling by private car are good predictors of revealed preferences regarding housing attributes. Responding households consider relational location (measured as travel time or distance to work/education) more than distance to the city center. Furthermore, while housing attributes showed clear patterns of spatial clustering, this was much less the case for household attributes. An uneven distribution of housing options together with residential choice constraints do not seem to limit households' equitable access to Kampala, although more research at a finer geography and over time is recommended to capture the dynamics.

show abstract

Section: Hypothesis 1: Households' Residential Choice Is Informed By supporting

confidence: 80%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Finding a place to live in the city: analyzing residential choice in Kampala

Keunen

2020

Housing and Society

View full text Add to dashboard Cite

show abstract

“…Life cycle events are also analysed how they impact residential mobility (e.g., Courgeau 1985;Rabe and Taylor 2010). Residential satisfaction is another popular determinant to be examined for its influence on residential mobility (e.g., Diaz-Serrano and Stoyanova 2010; Kwon and Beamish 2013;Kim et al 2015). In all these research, very limited amount of studies have considered the difference between residents during the decision making process in residential mobility.…”

Section: Introductionmentioning

confidence: 99%

Intention to move in renovated historical blocks in China

Wen¹,

Feng²,

Timmermans³

et al. 2018

J Hous and the Built Environ

View full text Add to dashboard Cite

DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

show abstract

“…At the stage of top‐down optimization of rural relocations, local governments and planners formulated relocation solutions based on their own demands and local situations (Palmer, ). Systems analysis of inhabitant status, economic incentives, sociocultural features, agricultural production conditions, and spatial accessibility of rural settlements was usually adopted to find suitable relocation alternatives (van Lier, ; Kim, Woosnam, Marcouiller, Aleshinloye & Choi, ; Cao, Bai, Sun, & Zhou, ; Sun, Xu, Liu, Liu, & Wang, ). Since these alternatives mainly highlighted concentrated rural settlements, technical feasibility, and economic justifiability from a manager/planner standpoint (Li, Liu, Long, & Cui, ; Liu, Yang, Liu, Wei, & Yang, ), they were sometimes inconsistent with the will of farmers and thus difficult to carry out in practice (Dikmen, ).…”

Section: Introductionmentioning

confidence: 99%

Spatial optimization of rural settlement relocation by incorporating inter‐village social connections under future policy scenarios

Liu

Kong

Zhou

et al. 2019

Transactions in GIS

View full text Add to dashboard Cite

Social connections between villages can represent farmers'interests and thus benefit participatory rural relocation planning. With rural development, however, these connections will change and may weaken the adaptation of relocation plans to future rural systems. As yet, most studies still use empirical social connections to guide relocation planning, while a few have incorporated predicted connections in the context of rural development into relocation decisions. Meanwhile, spatial optimization approaches have seldom been adopted to solve this geographical decision issue. Accordingly, our study proposes a novel spatial relocation framework that incorporates changed inter-village social connections under future rural development scenarios. Empirical inter-village connections and their policy-induced changes in central China were explored using social network analysis. An integration of particle swarm optimization and geographic information systems was adopted to identify the relocation solutions with maximum inter-village connections and maximum spatial land use compactness, and to examine how connection changes under different policy scenarios influenced relocation outcomes. The results demonstrate the significance of incorporating policy-induced social connections into relocation plans, and most importantly, show the negative relations between changed social connections | 689 LIU et aL.

show abstract

Residential mobility, urban preference, and human settlement: A South Korean case study

Cited by 52 publications

References 35 publications

Finding a place to live in the city: analyzing residential choice in Kampala

Finding a place to live in the city: analyzing residential choice in Kampala

Intention to move in renovated historical blocks in China

Spatial optimization of rural settlement relocation by incorporating inter‐village social connections under future policy scenarios

Contact Info

Product

Resources

About