Modeling Household Car Ownership using Ordered Response Model
Kaijun Cui, Chunfu Shao, Guangzheng Yao
Available Online December 2018.
- https://doi.org/10.2991/tlicsc-18.2018.13How to use a DOI?
- Person Trip Survey; Car Ownership; Unordered Response Model; Ordered Response Model; Marginal Utility.
- Considering the discrete and order attributes of household car ownership, the unordered response model (MNL model) and ordered response model (OL model) are used to predict the household car ownership using the data of fifth Beijing Person Trip Survey in 2015. The results show that the number of driver's licenses has the most significant impact on car ownership, followed by owning house, family size, household income and household registration in Beijing. Different from previous studies, it is found that the age of households between 35-44 and 55-64 will significantly affect the number of car ownership. A brief analysis is carried out on the impact of the travel limit policy on car ownership. The model passes statistical tests and calculates the marginal utility of all significant explanatory variables.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Kaijun Cui AU - Chunfu Shao AU - Guangzheng Yao PY - 2018/12 DA - 2018/12 TI - Modeling Household Car Ownership using Ordered Response Model BT - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018) PB - Atlantis Press SP - 81 EP - 87 SN - 1951-6851 UR - https://doi.org/10.2991/tlicsc-18.2018.13 DO - https://doi.org/10.2991/tlicsc-18.2018.13 ID - Cui2018/12 ER -