2019
Gu, G.; Yang, D.; Feng, T.; Timmermans, H.
Influence of the adoption of new mobility tools on investments in home renewable energy equipment: Results of a stated choice experiment Journal Article
In: Sustainable Cities and Society, vol. 50, 2019, ISSN: 22106707.
Abstract | Links | BibTeX | Tags: Electric mobility, Home renewable energy equipment, Household energy consumption, Mixed logit model
@article{Gu2019,
title = {Influence of the adoption of new mobility tools on investments in home renewable energy equipment: Results of a stated choice experiment},
author = {G. Gu and D. Yang and T. Feng and H. Timmermans},
doi = {10.1016/j.scs.2019.101641},
issn = {22106707},
year = {2019},
date = {2019-01-01},
journal = {Sustainable Cities and Society},
volume = {50},
abstract = {The increasing shift of individuals to use new electric mobility tools like electric cars (EV) and electric bikes has changed household energy expenditure. It may also affect households’ investments in renewable energy equipment, i.e. solar panels, heat pumps. Relatively little research has been conducted on how the decision to purchase electric vehicles affects the decision to invest in home renewable energy equipment. This paper, therefore, aims to examine the effects of mobility tools decisions on the intention to invest in solar panels and heat pumps, based on the data collected through a stated choice experiment. A mixed logit model is estimated to capture unobserved heterogeneity among individuals. Results show that mobility tools significantly influence the choice of home renewable energy equipment. Households who prefer to purchase electric vehicles have a higher probability to invest in solar panels and heat pumps than households who prefer other mobility tools. In addition, EV adopters’ intention to invest in solar panels are stronger than the intention to invest in heat pumps. This suggests that electric vehicle users are likely the early adopters of solar panels.},
keywords = {Electric mobility, Home renewable energy equipment, Household energy consumption, Mixed logit model},
pubstate = {published},
tppubtype = {article}
}
The increasing shift of individuals to use new electric mobility tools like electric cars (EV) and electric bikes has changed household energy expenditure. It may also affect households’ investments in renewable energy equipment, i.e. solar panels, heat pumps. Relatively little research has been conducted on how the decision to purchase electric vehicles affects the decision to invest in home renewable energy equipment. This paper, therefore, aims to examine the effects of mobility tools decisions on the intention to invest in solar panels and heat pumps, based on the data collected through a stated choice experiment. A mixed logit model is estimated to capture unobserved heterogeneity among individuals. Results show that mobility tools significantly influence the choice of home renewable energy equipment. Households who prefer to purchase electric vehicles have a higher probability to invest in solar panels and heat pumps than households who prefer other mobility tools. In addition, EV adopters’ intention to invest in solar panels are stronger than the intention to invest in heat pumps. This suggests that electric vehicle users are likely the early adopters of solar panels.
Gu, G.; Yang, D.; Feng, T.; Timmermans, H.
Household vehicle holding decisions in response to life cycle events Proceedings Article
In: 2019, ISSN: 23521465.
Abstract | Links | BibTeX | Tags: Car sharing, Electric bikes, Electric cars, Mixed logit model
@inproceedings{Gu2019b,
title = {Household vehicle holding decisions in response to life cycle events},
author = {G. Gu and D. Yang and T. Feng and H. Timmermans},
doi = {10.1016/j.trpro.2018.12.180},
issn = {23521465},
year = {2019},
date = {2019-01-01},
journal = {Transportation Research Procedia},
volume = {37},
abstract = {People choose a new mobility tool when their mobility needs of change or their current vehicle need replacement. Changes in mobility needs may be triggered by life events. A life event triggers households to reconsider their current vehicle holdings and leads them to change their vehicle holdings if the changing demand makes a changed desirable. Electric cars and car sharing provide new options, which deserve studying in the context of sustainable transport and energy consumption. In the context of re-assessing mobility needs, it is important to better understand the process that leads households to purchase an electric car as a replacement or supplement of their current vehicle, or to join car-sharing. To investigate this decision-making process, a stated choice experiment was designed. This paper reports the results of a mixed logit model, which was estimated to assess the degree of heterogeneity among households in their preferences for vehicle purchase and replacement decisions as a function of life events.},
keywords = {Car sharing, Electric bikes, Electric cars, Mixed logit model},
pubstate = {published},
tppubtype = {inproceedings}
}
People choose a new mobility tool when their mobility needs of change or their current vehicle need replacement. Changes in mobility needs may be triggered by life events. A life event triggers households to reconsider their current vehicle holdings and leads them to change their vehicle holdings if the changing demand makes a changed desirable. Electric cars and car sharing provide new options, which deserve studying in the context of sustainable transport and energy consumption. In the context of re-assessing mobility needs, it is important to better understand the process that leads households to purchase an electric car as a replacement or supplement of their current vehicle, or to join car-sharing. To investigate this decision-making process, a stated choice experiment was designed. This paper reports the results of a mixed logit model, which was estimated to assess the degree of heterogeneity among households in their preferences for vehicle purchase and replacement decisions as a function of life events.
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.