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 Association for Computing

Analyzing public transportation offer wrt mobility demand / Arman, A., Bellini, P., Nesi, P., Paolucci, M.. - (2019), pp. 30-37. (1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, TESCA 2019, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019 New York, NY, USA ) [10.1145/3364544.336482].

Analyzing public transportation offer wrt mobility demand

Ala Arman
Primo
;
Michela Paolucci
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 Association for Computing
2019
1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, TESCA 2019, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019
Offer & Demand algorithms; Origin Destination Matrices; Public Transport; Smart City; What-if analysis
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Analyzing public transportation offer wrt mobility demand / Arman, A., Bellini, P., Nesi, P., Paolucci, M.. - (2019), pp. 30-37. (1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, TESCA 2019, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019 New York, NY, USA ) [10.1145/3364544.336482].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1743640
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