Housing Mobility and Preferred Housing Type Choice Factors Among Jjokbang Residents : A Multinomial Logit Model Approach to Empirical Analysis in Seoul

Purpose: This study aims to identify the preferred housing types among jjokbang (slum-like dwellings) residents in Seoul and the factors influencing their choices. The goal is to provide a basis for developing effective strategies to support the residential mobility of these vulnerable residents. Understanding their preferences and the factors affecting their housing decisions is essential for crafting policies to improve their living standards. Method: The study focused on five major jjokbang areas in Seoul as of August 2023: Donui-dong, Changsin-dong, Dongja-dong, Namdaemun, and Yeongdeungpo. A survey was conducted with 203 residents from these areas. The data collected were analyzed using a multinomial logit model to determine the factors influencing housing choices, examining various demographic and socio-economic variables. Result: The analysis revealed that 16% of jjokbang residents preferred to stay in their current locations. Among those willing to move, 53% preferred public rental housing, 21% opted for private rental housing, 6% chose social welfare facilities, and 4% favored rural areas. Significant factors included age, health status, disability, income level, housing cost burden, and satisfaction with current housing. Residents with disabilities were more likely to prefer public rental housing, while younger and healthier individuals favored private rentals. Higher income and longer residency in jjokbang reduced the likelihood of choosing public or welfare housing. These findings underscore the need for tailored housing policies to meet the diverse needs of jjokbang residents.

Authors

Publication Details

Journal
KIEAE Journal
Published
2024-10-31
DOI
https://doi.org/10.12813/kieae.2024.24.5.075
Primary Topic
Korean Urban and Social Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Housing Mobility and Preferred Housing Type Choice Factors Among Jjokbang Residents : A Multinomial Logit Model Approach to Empirical Analysis in Seoul

Yongjin Ahn, Hyuck M. Kwon
KIEAE Journal
Korean Urban and Social Studies
article

Housing Mobility and Preferred Housing Type Choice Factors Among Jjokbang Residents : A Multinomial Logit Model Approach to Empirical Analysis in Seoul

Yongjin Ahn, Hyuck M. Kwon
article en

Abstract

Purpose: This study aims to identify the preferred housing types among jjokbang (slum-like dwellings) residents in Seoul and the factors influencing their choices. The goal is to provide a basis for developing effective strategies to support the residential mobility of these vulnerable residents. Understanding their preferences and the factors affecting their housing decisions is essential for crafting policies to improve their living standards. Method: The study focused on five major jjokbang areas in Seoul as of August 2023: Donui-dong, Changsin-dong, Dongja-dong, Namdaemun, and Yeongdeungpo. A survey was conducted with 203 residents from these areas. The data collected were analyzed using a multinomial logit model to determine the factors influencing housing choices, examining various demographic and socio-economic variables. Result: The analysis revealed that 16% of jjokbang residents preferred to stay in their current locations. Among those willing to move, 53% preferred public rental housing, 21% opted for private rental housing, 6% chose social welfare facilities, and 4% favored rural areas. Significant factors included age, health status, disability, income level, housing cost burden, and satisfaction with current housing. Residents with disabilities were more likely to prefer public rental housing, while younger and healthier individuals favored private rentals. Higher income and longer residency in jjokbang reduced the likelihood of choosing public or welfare housing. These findings underscore the need for tailored housing policies to meet the diverse needs of jjokbang residents.

KIEAE JournalVol. 24(5)
National Research Foundation of Korea
No poverty
Openalex Percentile: Top 70%
Korean Urban and Social Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.