Ports are pivotal nodes in supply chain and transportation networks, in which most of the
existing data remain underutilized. Machine learning methods are versatile tools to utilize …

Over the last two decades, application of Data envelopment analysis (DEA) in transportation
problems have gained considerable research attention. This paper presents a literature …

In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

Although the application of blockchain technology in maritime industry can improve the
customs clearance efficiency and logistics transparency in the container cargo supply …

The Competitiveness of Global Port-Cities: Synthesis Report Page 1 OECD Regional
Development Working Papers 2013/13 The Competitiveness of Global Port-Cities: Synthesis …

The current study proposes a new DEA model to evaluate the efficiency of 39 Chinese
commercial banks over the period 2010–2018. The paper also, in the second stage …

Given the key role ports play in the trade and economic growth of countries, port managers
are looking for ways to increase efficiency and improve port performance. To this end, the …

Purpose–The purpose of this paper is to measure a port's green performance. The literature
is reviewed and a survey is carried out to identify major green port performance indicators …

The rapid development of China's port industry has caused numerous problems, among
which the most significant is environmental pollution. A major goal for government and port …

This paper investigates how the involvement of foreign and local ownerships, intra-and inter-
port competition and hinterland affect the container terminal efficiency in China and its …