Ricerc@Sapienza

This study contributes to the existing literature on tourism market segmentation by providing a new matching-clustering procedure that allows patterns of behaviours to be identified using repeated cross-sectional surveys. By extracting equivalent samples over time, the matching method allows inter-temporal cluster analyses to be performed so that a deeper insight into a phenomenon can be obtained beyond the traditional aggregate level of understanding.

In this paper, we examine the development of the Chinese high-speed rail (HSR) network over the period 2003–2014. Our methodology relies on network analysis to identify changes over time in HSR network accessibility measured by node degree, strength, closeness, and betweenness. We show that sub-networks connecting regional centres with second-tier cities are first built. Once such sub-networks are mostly established, they are also connected with each other. Moreover, a simultaneous rather than a sequential schedule for multiple HSR segments is at place at any particular time.

GamECAR aims to develop a highly innovative and interactive Serious Games platform that will empower and guide users to adopt an eco-friendly driving style. This will be achieved, without distracting them from safe driving, through a multidisciplinary approach aiming at the development of a user friendly, unobtrusive multi-player gaming environment, where the users will not only play collaboratively/competitively using their mobile device but also use the car itself and their own bodies, thus turning eco-driving into an immersive and highly motivating experience.

The ongoing energy transition processes need a rapprochement between the places of energy production and consumption with the aim of creating innovative and integrated territorial models. Consequentially, models and strategies for increasing the use of local and renewable energy sources (RES) play a key rule for enhancing energy independence and sustainability of the considered areas. The main objective of this study is to analyse the energy system of the Lazio Region in Italy, comparing electricity consumptions and production from renewable sources at municipality scale.

This paper illustrates a GIS (Geographic Information System) based approach for assessing thermal and electric energy consumptions and usable solar energy potential of residential buildings in order to increase their independence from fossil fuels. After integrating and simplifying previous researches, a methodology for estimating thermal energy needs, both for heating and hot water supply, and electric energy demand for assessing PV and solar thermal productivity is presented.

In the latest years, there has been a growing interest in autonomous drone delivery. This is due to the increasing demand for efficient delivery services, and to the concurrent inability of existing ground based systems to provide guaranteed availability, and delivery time. However, the cost for implementing a centralized drone-based delivery service can only be afforded by large commercial organizations.

The purpose of this paper is to illustrate a multidisciplinary model for safety and security management (IMMSSM) which can be implemented by means of a suitable Integrated Technological System Framework (ITSF) that can be based on Internet of Things (IoT)/Internet of Everything (IoE), showing also the significant role played by the integration of the elements that compose the model itself, thanks to a proper genetic algorithm studied for the specific context.

We develop a hybrid cost model for the determination of unit standard costs in the Italian local public bus transport sector. Detailed economic and transport data have been collected from companies producing more than 500 million of bus-kilometers in Italy observed in 2011. We draw upon the Bottom-Up approach for the estimation of the cost of the driving personnel and the economic cost of the rolling stock which usually cover more than 50% of the total economic cost.

This study introduces a general methodology to process sparse floating car data, reconstruct the routes followed by the drivers, and cluster them to achieve suitable choice sets of significantly different routes for calibrating behavioural models. This methodology is applied to a large set of floating car data collected in Rome in 2010. Results underlined that routes assigned to different clusters are actually very different to each other.

The attention to road safety-related issues has grown fast in recent decades. The experience gained with these themes reveals the importance of considering these aspects in the resource allocation process for roadside and guardrail improvement, which is a complex process often involves conflicting objectives. This work consists on defining an innovative methodology, with the objective of calculating and analysing a numerical risk factor of a road.