With the rapid development of China's container port industry, the emissions of air pollutants in port areas have been increasing. Cargo handling equipment as a non-road mobile source of emissions has become a focus of public attention. This article adopted a full activity-based ''bottom-up'' method to establish the inventory of emissions by cargo handling equipment at a container port. Drawing on the OFFROAD model, we conducted investigation and analysis of cargo handling equipment holdings, activity levels, and equipment-related parameters and modified the emission factors. The Nanjing Longtan Container Port was taken as a case study. Results show that in 2014, emissions by cargo handling equipment of the Nanjing Longtan Container Port were as follows: PM 10 4.25 t, PM 2.5 3.91 t, NO x 82.98 t, SO x 1.06 t, CO 23.84 t, and HC 16.39 t, all lower than results from an earlier research based on 2013 fuel consumption data. Cargo handling equipment produced more PM and HC emissions than any other emission source at the port. The method and main conclusions of this article provide support for future work on energy conservation and emission reduction in port areas.
Seaports participate in hinterland economic development through partnerships with dry ports, and the combined seaport-dry port network serves as the backbone of regional logistics. This paper constructs a location-allocation model for the regional seaport-dry port network optimization problem and develops a greedy algorithm and a genetic algorithm to obtain its solution. This model is applicable to situations under which the geographic distribution of demand is known. A case study involving configuration of dry ports near the west bank of the Taiwan Strait is conducted, and the model is successfully applied.
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