The Impact of Employer Attitude to Green Commuting Plans on Reducing Car Driving: A Mixed Method Analysis
| dc.contributor.author | Liu, Chao | |
| dc.contributor.author | Ding, Chuan | |
| dc.contributor.author | Lin, Yaoyu | |
| dc.contributor.author | Wang, Yaowu | |
| dc.date.accessioned | 2018-12-14T19:33:45Z | |
| dc.date.available | 2018-12-14T19:33:45Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | The empirical data were selected from Washington-Baltimore Regional Household Travel Survey in 2007-2008, including all the trips from home to workplace during the morning hours. The model parameters were estimated using the simultaneous estimation approach and the integrated model turns out to be superior to the traditional multinomial logit (MNL) model accounting for the impact of employer attitudes towards green commuting. The direct and indirect effects of socio-demographic attributes and employer attitudes towards green commuting were estimated. Through the structural equation modelling with mediating variable, this approach confirmed the intermediary nature of car ownership in the choice process. | en_US |
| dc.identifier | https://doi.org/10.13016/M2416T38N | |
| dc.identifier.uri | http://hdl.handle.net/1903/21545 | |
| dc.language.iso | en_US | en_US |
| dc.relation.isAvailableAt | Digital Repository at the University of Maryland | |
| dc.relation.isAvailableAt | University of Maryland (College Park, Md) | |
| dc.subject | Maryland | en_US |
| dc.subject | Transportation | en_US |
| dc.subject | latent variable | en_US |
| dc.subject | mediating variable | en_US |
| dc.subject | discrete choice model | en_US |
| dc.subject | structural equation model | en_US |
| dc.subject | travel mode choice | en_US |
| dc.subject | car ownership | en_US |
| dc.subject | green commuting | en_US |
| dc.title | The Impact of Employer Attitude to Green Commuting Plans on Reducing Car Driving: A Mixed Method Analysis | en_US |
| dc.type | Article | en_US |