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“Abitare la memoria: pratiche artistico-letterarie sulla desaparición tra paradigma ed eredità”
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Per un percorso di public history in dialogo con un maestro di frontiera: Albino Bernardini
No full textDas Ende des 1. Weltkriegs, der Balkan und die Herausforderungen der Moderne La fine della Grande guerra, i Balcani e le sfide della modernità
No full textThe article analyzes the main and most contradictory trends toward modernization observed in Southeast Europe between the two world wars
Recensione a S. Romero Mariño, Il meraviglioso libro della morte, ill. F. Ferrucci, Padova, Camelozampa, 2025
No full textThe Italian Socialist Party after 1976: From the periphery to the periphery of European socialism?
No full textMetaheuristic optimization for scheduling mixed-fleet electric buses in a practical urban network
No full textThis study addresses the scalability challenges of the Mixed-Fleet Multi-Terminal Electric Bus Scheduling Problem by exploring various heuristic and metaheuristic approaches applied to large urban networks. A novel Repeated Local Search (RLS) algorithm is developed to optimize full-day scheduling, incorporating key factors such as fleet assignment, charging constraints, and deadheading costs, while accounting for limited charging infrastructure. The RLS method generates initial greedy yet feasible schedules for a mixed fleet of electric and hybrid buses, serving as the foundation for two metaheuristic strategies: Simulated Annealing and a Genetic Algorithm. The Simulated Annealing approach is implemented in two variants: one integrating a Mixed-Integer Linear Programming (MILP)-based move, and the other using an RLS-based move to reschedule trip chains while maintaining feasibility. Meanwhile, the Genetic Algorithm employs repair mechanisms to correct infeasible solutions arising during the crossover process. To evaluate these methodologies, a three-phase experimental framework is employed: (1) stress-testing a MILP model under various fleet and infrastructure conditions, (2) benchmarking MILP performance against metaheuristic methods on small-scale instances, and (3) conducting a comparative analysis of metaheuristics across small, medium, and real-size urban scenarios. The urban-scale instances are derived from real-world public transit timetables in Luxembourg City, encompassing 1,084 trips, 12 terminals, 10 bus lines, and full-day operations. Results indicate that the proposed metaheuristic approaches achieve solutions comparable to exact MILP formulations in small-scale cases while offering substantial scalability improvements for larger networks. Each algorithm exhibits distinct advantages and trade-offs, highlighting the importance of selecting an appropriate method based on the specific scenario and computational constraints. These findings extend prior research on smaller instances and suggest that as urban transit systems transition to electric fleets, the marginal operational benefits for transit agencies may diminish with increasing network size
Comprehensive strategic assessment of Iran's renewable energy potentials through a hybrid multi-criteria decision-making approach
No full textSeasonal Island Geographies. The Human Geography of Italian Small Islands. Patterns, Challenges, and Perspectives
No full textThe geography of the Italian small islands archipelagos is shaped by a very high level of geophysical, landscape, demographic and cultural diversity. Excluding the Venetian lagoon, a case markedly distinct within the national panorama, Italy counts almost sixty inhabited islands, temporarily or permanently populated, distributed from the Adriatic-Ionian basin to a few dozen miles off the Tunisian coast. This heterogeneity makes Italian small islands, along with Dalmatia and the Aegean islands, a key region to understanding the human geography of the Mediterranean.
This book points to the overarching interpretative category we will use in developing the description and analyses of Italian small islands geographies: temporality. As Peter Haggett suggested in his celebrated introduction to the concepts of human geography (the geography of the beach), our discipline deals with the humanization of spaces always taking into account the role of time as the variable through which this action takes shape. This double layer is fundamental to understand the human geography of micro-island systems. The book stresses key elements of the human geography of Italian islands (tourism, energy production, demography, connectivity, and administrative geography) by placing “seasonal politics” at the centre of the analysis. That is, the idea that the humanisation of space is strongly linked to the recursive nature of the seasons: the so-called “one-peak seasonality” (both climatic and human) that govern the set of social, cultural and economic activities framing small islands’ human geographies. This recursive seasonality becomes, the key to understanding the territorial, environmental and social policies of the Italian archipelagos. The book combines cartographic, statistical and historical sources with descriptions and insights into specific cases. The chapters frame the human geography of the Italian islands in the broader scenario of environmental and territorial policies on regional, national and European scales. Researchers in geography, social sciences, environmental sciences, economics, architecture and political science are the key audience of the book. In addition, practitioners, decision-makers and master's students may be interested in reading the volume