Rural areas are becoming more desert from day to day, leading to complex dispersed and scarce demand patterns for public transport. As a consequence, conventional transport services are becoming less frequent, reducing levels of service (e.g., low occupancy rates, usage of old vehicles). With rigid predefined routes and schedules, they are inappropriate to operate in such environments. Demand Responsive Transpo...
The provision of traditional public transport services in rural areas have shown to be very inefficient and ineffective. In fact, rural areas are typically characterized by low levels of population density leading to complex demand patterns (low levels and high spatial and temporal dispersion), which in turn leads to low levels of service of conventional transport services (low frequencies, usage of old vehicle...
The provision of traditional public transport services in rural areas have shown to be very inefficient and ineffective. In fact, rural areas are typically characterized by low levels population density leading to complex demand patterns (demand is low and spread over a large area) which leads to low levels of service of conventional transport services (low frequency, old vehicles, etc). Demand Responsive Trans...
Rural areas are characterized by low levels of population density and complex mobility patterns. Conventional transport services have shown to be very inefficient and ineffective in these environments and the provision of traditional public transport services in these areas presents, very often, low levels of service. In this context, an alternative solution - a Demand Responsive Transport (DRT) system - has al...
The provision of traditional public transport services in rural areas have shown to be very inefficient and ineffective. In fact, rural areas are naturally categorized by low levels of population density leading to complex demand patterns (low levels and high spatial and temporal dispersion), which leads to low levels of service of conventional transport services (low frequencies, usage of old vehicles, etc). D...
Smart companies in the 21st century use business intelligence solutions to gain a clearer picture of their internal operations, customers, supply chain and financial performance. In short, they are using business intelligence solutions to become intelligent about the way they do business.. Our paper reflects the result of a project that we conducted in Portugal related to the development of a business intellige...
Warehouse design and planning is a great challenge in the field of Supply Chain Management. Inventory level management, warehouse design and operations, and customers’ requirements are examples of important challenges in this context. Throughout this work we discuss a mathematical model aiming to support some warehouse management decisions and inventory decisions. Our aim is to show model’s potentialities and w...
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