Multimodal transport hubs (MTH) improve the operations between different transport modes, creating quasi-seamless connections between origin-destination locations. These hubs can fully use the advantages of various modes of transportation and avoid the limitations and cost pressures caused by a single mode. However, locating where to situate these hubs is a complex and critical process. Recent site location selection studies only assume that the hub is unstable under a single transportation mode, with uncertain demand and uncertain costs, which is very different from reality. This work approaches the hub selection problem following a particle swarm-simulated annealing algorithm constrained by transportation demand and cost. A case study was conducted in Northeast China, selecting six hubs responsible for about 93% of the cargo flow in the network. Our results suggest that selecting transportation demand and cost for a comprehensive analysis of hub location selection will optimize the hub layout and reduce the total system cost. The scale of freight efficiency would be improved compared to the existing transportation network.

Social media has grown steadily during the last decade and it is now considered as a new opportunity to use for different purposes such as decision making. The primary objective of this paper is to review articles related to social media and decision making using manual and bibliometrics anal-ysis methods, and to identify top themes in these articles. We have reviewed the papers published between 2008 and the first month of 2019 in Scopus where 1,159 articles were published in this period. These articles come from 733 sources and 3,459 authors. According to our survey, United States is the most productive country. Moreover, most collaborations occurred between two coun-tries of United States and United Kingdom as well as between United States and China. The bibliometrics analysis examines global research in this field from the different point of views.