Where did you come from? : where did you go?; robust policy relevant evidence from mobile network big data

Date

2015-03

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Publisher

LIRNEasia, Colombo, LK

Abstract

The paper discusses how output from mobility analysis based on mobile network big data (MNBD) can be aligned with the different stages of traditional forecasting frameworks familiar to transport planners and policy makers. Levels of accuracy and detail are estimated, so that mobility insights-based MNBD can be delivered. Recently developed approaches for estimating mobility are compared, and results are validated against data from traditional methods. The limitations of MNBD are presented, and alternatives are proposed to address these limitations in future work. The research aims to extend state of the art data mining to support and transform efficiencies in transportation planning.

Description

Keywords

TRANSPORT PLANNING, MOBILE PHONES, BIG DATA, DATA MINING, FORECASTING TECHNIQUES, GEOGRAPHICAL REFERENCED DATA, MATHEMATICAL MODELS, URBAN TRANSPORT, SRI LANKA, SOUTH ASIA

Citation

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