Joint Optimization of a Dry Port with Multilevel Location and Container Transportation: The Case of Northeast China
Table 1
Summary of the literature on dry port location problem.
Global perspective
Grade constraint
Factors to be considered
Construction cost
Road cost function
Problem size
Method
Economy
Environment
Social
Time
Linear
Subsection
Medium
Large
Feng et al.(2013)
√
√
√
√
Greedy algorithm; genetic algorithm
Chang Zheng et al (2017)
√
√
√
√
√
MCHLP; genetic algorithm
Zhang et al.(2018)
√
√
√
√
√
Game-theoretical; logit discrete selection
Tsao and Linh (2018)
√
√
√
√
√
√
√
Continuous approximation; game theory
Xu et al.(2018)
√
√
√
√
√
Game-theoretical; logit discrete selection
Tsao and Thanh (2019)
√
√
√
√
√
√
√
MOMRPFP
Zhao et al.(2019)
√
√
√
√
√
Two-stage planning model
Van Nguyen et al.(2020)
√
√
Data mining; complex network
This paper
√
√
√
√
√
√
√
√
MCHLP; AMPL
“Global perspective” does not specify the alternative dry port cities, but directly determines the location of dry port from the city nodes. “Problem size” refers to the size of the studied dry port network, which is classified as medium-scale if the study focuses on regional-level network and as large-scale if the focus is on the nationwide network.
