Out of Africa: The organization of migrant smuggling across the Mediterranean

How are human smuggling operations organized? This paper presents an empirical in-depth study of the structure and activities of a smuggling ring operating between the Horn of Africa and Northern Europe via Libya. It relies on a unique set of novel data sets manually extracted from an extensive police investigation launched after the 2013 Lampedusa shipwreck, in which 366 migrants lost their lives. The evidence includes wiretapped conversations on both sides of the Mediterranean. Using a number of network analysis techniques, this paper reconstructs the structure of the ring and investigates the determinants of coordination among its actors. This paper is the first work to offer a formal network modelling of human smuggling operations. It shows that, rather than being internalized within a single organization, activities are segmented and carried out by localized and rudimentary hierarchies with a small number of high-centrality actors operating at various stages along the smuggling route. Coordination is more likely to occur vertically than horizontally, indicating that higher-level smugglers are largely independent and autonomous. There are also indications of competition among them. Finally, even in rings involved in the supply of a truly transnational commodity, the local dimension still plays a crucial role. The implications for criminal justice responses to human smuggling are discussed.

A distributed architecture for real-time evacuation guidance in large smart buildings

In this paper, we consider the route coordination problem in emergency evacuation of large smart buildings. The building evacuation time is crucial in saving lives in emergency situations caused by imminent natural or man-made threats and disasters. Conventional approaches to evacuation route coordination are static and predefined. They rely on evacuation plans present only at a limited number of building locations and possibly a trained evacuation personnel to resolve unexpected contingencies. Smart buildings today are equipped with sensory infrastructure that can be used for an autonomous situation-aware evacuation guidance optimized in real time. A system providing such a guidance can help in avoiding additional evacuation casualties due to the flaws of the conventional evacuation approaches. Such a system should be robust and scalable to dynamically adapt to the number of evacuees and the size and safety conditions of a building. In this respect, we propose a distributed route recommender architecture for situation-aware evacuation guidance in smart buildings and describe its key modules in detail. We give an example of its functioning dynamics on a use case.

Planning and Design Model for Transit Route Networks with Coordinated Operations

A heuristic model is presented for the design of bus transit networks with coordinated operations. Different from past solution methodologies focusing on conventional uncoordinated transit systems, this model addresses the design of transit networks with coordinated operations, using a transit center concept and incorporating a trip assignment model explicitly developed for coordinated (timed-transfer) systems. In addition, this model determines the appropriate vehicle size for each bus route and incorporates demand-responsive capabilities to meet demand that cannot be served effectely by fixed-route, fixed-schedule services. This model is composed of four major procedures: ( a) a route generation procedure (RGP), which constructs the transit network around the transit center concept; ( b) a network analysis procedure, which incorporates a trip assignment model (for both coordinated and uncoordinated operations) and a frequency-setting and vehicle-sizing procedure; ( c) a transit center selection procedure, which identifies the suitable transit centers for route coordination; and ( d) a network improvement procedure, which improves on the set of routes generated by the RGP. The model is demonstrated via a case-study application to data generated from the existing transit system in Austin, Texas.