Transport

Data analytics to drive smarter decision making across the transport sector

introduction

Transport modelling has traditionally relied on time-intensive data collection methods. Data collected from cellular and Wi-Fi networks, GPS data and other sensors, can be used to derive a rich array of insights into the movement pattern and behaviour of people within regions, along transport corridors and within rail and metro stations and airports.

We apply our consulting heritage in the transport sector and our experience in cleaning and processing large data sets to provide clients with relevant insights using innovative methodologies and tools.

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use cases

Last mile analysis

detection of last mile travel patterns e.g. trips to/from a station

train franchise bids

market analysis to support franchise bid submissions

OD Matrices

development of origin and destination matrices for transport models

performance metrics

Capturing key metrics for transport hubs and services

OD Matrices

development of origin and destination matrices for transport models

train franchise bids

market analysis to support franchise bid submissions

Last mile analysis

detection of last mile travel patterns e.g. trips to/from a station

Use Cases

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Related case studies

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