An important problem in improving mobility services consists in analyzing the transportation offer with respect to the demand of mobility. The purpose is always the assessment of the service for its improvements. This activity can be approached having all the historical data, while in most cases is not realistic due to the expensive process of data collection and lack of details about the movements of travelers at the bus stops in terms of pick-up and drop-off for each bus line. To deal with these issues, in this paper, a model is provided to support mobility analysis in public transport networks. Our model operates first by analyzing the service offer, provided by mobility operators, and the service demands. Then, the model allows to evaluate the number of people who are picked-up and dropped-off at a stop. The performance of the model has been validated by comparing the observed values obtained from a field observation. The research and tool have been developed in the context of MOSAiC research project partially funded by Tuscany Region, with DISIT lab, ALSTOM, Municipia/Engineering, TAGES and CNIT research centers

Analyzing Public Transportation Offer wrt Mobility Demand / Arman, Ala; Bellini, Pierfrancesco; Nesi, Paolo; Paolucci, Michela. - ELETTRONICO. - (2019), pp. 30-37. (Intervento presentato al convegno 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities) [10.1145/3364544.3364828].

Analyzing Public Transportation Offer wrt Mobility Demand

Arman, Ala;Bellini, Pierfrancesco;Nesi, Paolo;Paolucci, Michela
2019

Abstract

An important problem in improving mobility services consists in analyzing the transportation offer with respect to the demand of mobility. The purpose is always the assessment of the service for its improvements. This activity can be approached having all the historical data, while in most cases is not realistic due to the expensive process of data collection and lack of details about the movements of travelers at the bus stops in terms of pick-up and drop-off for each bus line. To deal with these issues, in this paper, a model is provided to support mobility analysis in public transport networks. Our model operates first by analyzing the service offer, provided by mobility operators, and the service demands. Then, the model allows to evaluate the number of people who are picked-up and dropped-off at a stop. The performance of the model has been validated by comparing the observed values obtained from a field observation. The research and tool have been developed in the context of MOSAiC research project partially funded by Tuscany Region, with DISIT lab, ALSTOM, Municipia/Engineering, TAGES and CNIT research centers
2019
TESCA'19: Proceedings of the 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities
1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities
Goal 11: Sustainable cities and communities
Arman, Ala; Bellini, Pierfrancesco; Nesi, Paolo; Paolucci, Michela
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1182492
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