2020
Jiang, W.; Feng, T.; Timmermans, H. J. P.
Latent class path model of intention to move house Journal Article
In: Socio-Economic Planning Sciences, vol. 70, 2020, ISSN: 00380121.
Abstract | Links | BibTeX | Tags: Intention to move house, Latent class path model, Residential satisfaction, Unobserved heterogeneity
@article{Jiang2020,
title = {Latent class path model of intention to move house},
author = {W. Jiang and T. Feng and H. J. P. Timmermans},
doi = {10.1016/j.seps.2019.100743},
issn = {00380121},
year = {2020},
date = {2020-01-01},
journal = {Socio-Economic Planning Sciences},
volume = {70},
abstract = {This paper proposes a latent class path model to analyse the intention to move house as a function of residential satisfaction, which in turn is influenced by the gap between residential aspirations and reality. Different from the existing literature, which assumes the same structural dependencies apply to all residents with different socio-demographic profiles, we allow for different unobserved classes with different structural dependencies. Class membership is a function of the socio-demographics of individuals. Using data from eight renovated historical blocks in two Chinese cities, the differences influencing the intention to move house between two latent classes are captured. In one class the intention to move is significantly influenced by housing and environmental satisfaction, but this dependency is not found in the other class. The impact of the residential gap on satisfaction also differs between the two classes. Class membership is found to be mainly attributed to having property rights or not and whether respondents are supporting the elderly. Policy and planning implications are provided considering the different residential interests and backgrounds of residents.},
keywords = {Intention to move house, Latent class path model, Residential satisfaction, Unobserved heterogeneity},
pubstate = {published},
tppubtype = {article}
}
This paper proposes a latent class path model to analyse the intention to move house as a function of residential satisfaction, which in turn is influenced by the gap between residential aspirations and reality. Different from the existing literature, which assumes the same structural dependencies apply to all residents with different socio-demographic profiles, we allow for different unobserved classes with different structural dependencies. Class membership is a function of the socio-demographics of individuals. Using data from eight renovated historical blocks in two Chinese cities, the differences influencing the intention to move house between two latent classes are captured. In one class the intention to move is significantly influenced by housing and environmental satisfaction, but this dependency is not found in the other class. The impact of the residential gap on satisfaction also differs between the two classes. Class membership is found to be mainly attributed to having property rights or not and whether respondents are supporting the elderly. Policy and planning implications are provided considering the different residential interests and backgrounds of residents.
Jiang, W.; Feng, T.; Timmermans, H. J. P.
Non-linear asymmetric gap models of residential satisfaction: Formulation and empirical evidence Journal Article
In: Environment and Planning B: Urban Analytics and City Science, vol. 47, iss. 4, 2020, ISSN: 23998091.
Abstract | Links | BibTeX | Tags: aspiration, residential gap, Residential satisfaction
@article{Jiang2020c,
title = {Non-linear asymmetric gap models of residential satisfaction: Formulation and empirical evidence},
author = {W. Jiang and T. Feng and H. J. P. Timmermans},
doi = {10.1177/2399808318790251},
issn = {23998091},
year = {2020},
date = {2020-01-01},
journal = {Environment and Planning B: Urban Analytics and City Science},
volume = {47},
issue = {4},
abstract = {This paper proposes non-linear asymmetric gap–satisfaction models to assess the influence of the gap between aspirations and perceived residential attributes on residential satisfaction. Two variants of the residential gap are specified based on the difference and ratio between aspiration and reality. Besides the influence of residential gap, the interactions with social-demographics are incorporated in three specifications of gap–satisfaction relationship. Using empirical data collected from eight renovated historical blocks in two Chinese cities, the relative performances of the proposed gap models are compared with truncated linear symmetric gap models and traditional linear (absolute) difference models for housing, living environmental and neighbourhood attributes. The estimation results indicate that overall the non-linear asymmetric gap models outperform the linear gap models. The model fit for housing and living environmental attributes are very good. Satisfaction for housing attributes is predicted best with non-linear asymmetric gap ratio models, while the environmental attributes are best represented by non-linear asymmetric difference models. In case of the neighbourhood dimension, non-linear asymmetric gap ratio models show the best performance, while these models yield a good fit only for two attributes. The interaction effect of social-demographics is found to vary between residential attributes.},
keywords = {aspiration, residential gap, Residential satisfaction},
pubstate = {published},
tppubtype = {article}
}
This paper proposes non-linear asymmetric gap–satisfaction models to assess the influence of the gap between aspirations and perceived residential attributes on residential satisfaction. Two variants of the residential gap are specified based on the difference and ratio between aspiration and reality. Besides the influence of residential gap, the interactions with social-demographics are incorporated in three specifications of gap–satisfaction relationship. Using empirical data collected from eight renovated historical blocks in two Chinese cities, the relative performances of the proposed gap models are compared with truncated linear symmetric gap models and traditional linear (absolute) difference models for housing, living environmental and neighbourhood attributes. The estimation results indicate that overall the non-linear asymmetric gap models outperform the linear gap models. The model fit for housing and living environmental attributes are very good. Satisfaction for housing attributes is predicted best with non-linear asymmetric gap ratio models, while the environmental attributes are best represented by non-linear asymmetric difference models. In case of the neighbourhood dimension, non-linear asymmetric gap ratio models show the best performance, while these models yield a good fit only for two attributes. The interaction effect of social-demographics is found to vary between residential attributes.
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.
2016
Jiang, W.; Timmermans, H. J. P.; Li, H.; Feng, T.
Mixed logit model of intended residential mobility in renovated historical blocks in China Proceedings Article
In: 2016, ISBN: 9789038641447.
Abstract | BibTeX | Tags: Historical block renovation, Mixed logit model, Residential mobility, Residential satisfaction
@inproceedings{Jiang2016,
title = {Mixed logit model of intended residential mobility in renovated historical blocks in China},
author = {W. Jiang and H. J. P. Timmermans and H. Li and T. Feng},
isbn = {9789038641447},
year = {2016},
date = {2016-01-01},
journal = {Design and Decision Support Systems in Architecture and Urban Planning - 13th International Conference on Design and Decision Support Systems in Architecture and Urban Planning, DDSS 2016},
abstract = {Using data from 8 historical blocks in China, the influence of socialdemographic characteristics and residential satisfaction on intended residential mobility is analysed. The results of a mixed logit model indicate that higher residential satisfaction will lead to a lower intention to move house, and that housing satisfaction and satisfaction with the residential environment have a higher impact compared with satisfaction related to other life domains. Younger residents and residents who live in blocks during early or late renovation are more interested in relocating.},
keywords = {Historical block renovation, Mixed logit model, Residential mobility, Residential satisfaction},
pubstate = {published},
tppubtype = {inproceedings}
}
Using data from 8 historical blocks in China, the influence of socialdemographic characteristics and residential satisfaction on intended residential mobility is analysed. The results of a mixed logit model indicate that higher residential satisfaction will lead to a lower intention to move house, and that housing satisfaction and satisfaction with the residential environment have a higher impact compared with satisfaction related to other life domains. Younger residents and residents who live in blocks during early or late renovation are more interested in relocating.