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Article

Transport System Models and Big Data: Zoning and Graph Building with Traditional Surveys, FCD and GIS

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Dipartimento di Ingegneria Civile, dell’Energia, dell’Ambiente e dei Materiali, Università Mediterranea di Reggio Calabria, 89122 Reggio Calabria, Italy
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Dipartimento di ingegneria dell’Informazione, delle Infrastrutture e dell’Energia Sostenibile, Università Mediterranea di Reggio Calabria, 89122 Reggio Calabria, Italy
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Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(4), 187; https://doi.org/10.3390/ijgi8040187
Received: 15 March 2019 / Revised: 1 April 2019 / Accepted: 4 April 2019 / Published: 9 April 2019
The paper deals with the integration of data provided from traditional transport surveys (small data) with big data, provided from Information and Communication Technology (ICT), in building Transport System Models (TSMs). Big data are used to observe historical mobility patterns and transport facilities and services, but they are not able to assess ex-ante effects of planned interventions and policies. To overcome these limitations, TSMs can be specified, calibrated and validated with small data, but they are expensive to obtain. The paper proposes a procedure to increase the benefits of TSMs’ building in forecasting capabilities, on one side; and limiting the costs connected to traditional surveys thanks to the availability of big data, on the other side. Small data (e.g., census data) are enriched with Floating Car Data (FCD). At the current stage, the procedure focuses on two specific elements of TSMs: zoning and graph building. These processes are both executed considering the estimated values of an intensity function of FCDs, consistently with traditional methods based on small data. The data-fusion of small and big data, operated with a Geographic Information System (GIS) tool, in a real extra-urban context is presented in order to validate the proposed procedure. View Full-Text
Keywords: passenger mobility; zoning; road graph; Transport System Models (TSMs); big data; Floating Car Data (FCD); Geographic Information System (GIS) passenger mobility; zoning; road graph; Transport System Models (TSMs); big data; Floating Car Data (FCD); Geographic Information System (GIS)
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MDPI and ACS Style

Croce, A.I.; Musolino, G.; Rindone, C.; Vitetta, A. Transport System Models and Big Data: Zoning and Graph Building with Traditional Surveys, FCD and GIS. ISPRS Int. J. Geo-Inf. 2019, 8, 187. https://doi.org/10.3390/ijgi8040187

AMA Style

Croce AI, Musolino G, Rindone C, Vitetta A. Transport System Models and Big Data: Zoning and Graph Building with Traditional Surveys, FCD and GIS. ISPRS International Journal of Geo-Information. 2019; 8(4):187. https://doi.org/10.3390/ijgi8040187

Chicago/Turabian Style

Croce, Antonello Ignazio, Giuseppe Musolino, Corrado Rindone, and Antonino Vitetta. 2019. "Transport System Models and Big Data: Zoning and Graph Building with Traditional Surveys, FCD and GIS" ISPRS International Journal of Geo-Information 8, no. 4: 187. https://doi.org/10.3390/ijgi8040187

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