Implementing a road pricing scheme, in the long term, will affect the changes in the land use or the urban spatial structure. However, such long-term land use effects have not been well captured in the existing models when designing a road pricing scheme. To fill the research gap, the study formulates a bi-level model for the road pricing problem, where land use and transport interaction are considered in the lower level. Moreover, this study also develops a novel alpha-conditional lexicographical optimization approach to select non-dominated solutions, which respects the hierarchical structure of objectives specified by the decision maker and his acceptability of the trade-off among different objectives. The results demonstrate that the proposed approach can improve most of the land use objectives while ensuring that total travel time is sacrificed within an acceptable range, which enables decision makers to achieve a balance.
|Published - 2019
|24th International Conference of Hong Kong Society for transportation studies - Hong Kong, Hong Kong
Duration: 14 Dec 2019 → 16 Dec 2019
Conference number: 24
|24th International Conference of Hong Kong Society for transportation studies
|14/12/2019 → 16/12/2019