2019
Jiang, W.; Feng, T.; Timmermans, H.; Li, H.
Intention to move in renovated historical blocks in China Journal Article
In: Journal of Housing and the Built Environment, vol. 34, iss. 1, 2019, ISSN: 15737772.
Abstract | Links | BibTeX | Tags: China, Heterogeneity, Intention to move, Renovated historical block, Residential satisfaction
@article{Jiang2019,
title = {Intention to move in renovated historical blocks in China},
author = {W. Jiang and T. Feng and H. Timmermans and H. Li},
doi = {10.1007/s10901-018-9608-3},
issn = {15737772},
year = {2019},
date = {2019-01-01},
journal = {Journal of Housing and the Built Environment},
volume = {34},
issue = {1},
abstract = {Using data from 8 renovated historical blocks in China, the influence of social-demographic characteristics and residential satisfaction on the intention to move is analysed using multinomial logit models. To explore the observed and unobserved heterogeneity among individuals, a mixed logit model was adopted. The model results indicate that older residents and residents who live in blocks during the middle renovation stage are less interested in relocating. Higher residential satisfaction will lead to a lower intention to move house, and housing satisfaction and satisfaction with the living environment have a higher impact compared with satisfaction related to other residential dimensions. Moreover, the interaction between neighbourhood satisfaction and renovation stages was found influential, while the unobserved taste variation between residents was not identified.},
keywords = {China, Heterogeneity, Intention to move, Renovated historical block, Residential satisfaction},
pubstate = {published},
tppubtype = {article}
}
Using data from 8 renovated historical blocks in China, the influence of social-demographic characteristics and residential satisfaction on the intention to move is analysed using multinomial logit models. To explore the observed and unobserved heterogeneity among individuals, a mixed logit model was adopted. The model results indicate that older residents and residents who live in blocks during the middle renovation stage are less interested in relocating. Higher residential satisfaction will lead to a lower intention to move house, and housing satisfaction and satisfaction with the living environment have a higher impact compared with satisfaction related to other residential dimensions. Moreover, the interaction between neighbourhood satisfaction and renovation stages was found influential, while the unobserved taste variation between residents was not identified.
2017
Jiang, W.; Feng, T.; Timmermans, H.; Li, H.
In: Cities, vol. 71, 2017, ISSN: 02642751.
Abstract | Links | BibTeX | Tags: Intention to move, Path analysis, Residential satisfaction
@article{Jiang2017,
title = {A gap-theoretical path model of residential satisfaction and intention to move house applied to renovated historical blocks in two Chinese cities},
author = {W. Jiang and T. Feng and H. Timmermans and H. Li},
doi = {10.1016/j.cities.2017.06.021},
issn = {02642751},
year = {2017},
date = {2017-01-01},
journal = {Cities},
volume = {71},
abstract = {Using data from eight historical blocks in two selected Chinese cities, this article presents the results of a path model, which captures both the direct and indirect relationships between social-demographics, residential satisfaction and intention to move. Using a gap theoretical framework, results of the path analysis suggest that the intention to move house is significantly and negatively affected by residential satisfaction. In turn, residential satisfaction is significantly influenced by the gap between aspired and actual housing and environmental attributes, proportional to aspiration level. Additionally, the intention to move house and the residential gap are influenced by a set of physical and social-demographical profiles. Residents who rent a house have a lower intention to move, while people living in historical blocks that are at the early renovation stage have a higher propensity to move. Among the various social demographical variables, age is found to be the most influential one, showing that older inhabitants have a lower intention to move house than younger inhabitants.},
keywords = {Intention to move, Path analysis, Residential satisfaction},
pubstate = {published},
tppubtype = {article}
}
Using data from eight historical blocks in two selected Chinese cities, this article presents the results of a path model, which captures both the direct and indirect relationships between social-demographics, residential satisfaction and intention to move. Using a gap theoretical framework, results of the path analysis suggest that the intention to move house is significantly and negatively affected by residential satisfaction. In turn, residential satisfaction is significantly influenced by the gap between aspired and actual housing and environmental attributes, proportional to aspiration level. Additionally, the intention to move house and the residential gap are influenced by a set of physical and social-demographical profiles. Residents who rent a house have a lower intention to move, while people living in historical blocks that are at the early renovation stage have a higher propensity to move. Among the various social demographical variables, age is found to be the most influential one, showing that older inhabitants have a lower intention to move house than younger inhabitants.