Public Transportation

DDWeb Public Transportation

Depth analysis of the demand for better service Download

Need of constant adaptation to public demand

Public passenger transport services

Building and spreading infrastructures is only one part of a transport system, although it is the one that requires the Government to make a major investment. Passenger transportation in urban areas involves complex systems, including multiple components that go beyond mere supply. Therefore, a careful and thorough analysis is needed to meet the masses’expectations as any other basic service.

The challenge of responding to a changing demand

Over recent years, researches and analysis on transport demand have played a key role in adapting supply to what the masses expected. Studying supply in order to optimize the investments made on infrastructure is not enough, since this is only one part of the system. Demand analysis studies people’s behavioral patterns and developments in mobility and hence it has become essential in order to reflect on the transportation network the changes suffered in individual and families’ socio-economic profiles.

Today, the challenge is even greater. Analysis cannot be confined to a single context of infrastructure extension. Analysis of demand and mobility behaviour is ongoing, since the behaviour of individuals varies over time depending on numerous variables. These variations impact on the entire passenger transport system.

Only through a deep understanding of these variations, through a dynamic analysis made from different perspectives and through measurement and simulation of impacts, a high quality service with great demand can be sustained.

Quiterian offers advanced analytics solutions designed to answer the challenges in the public transport’s sector. Based on Data Mining and Predictive Analysis, DDWeb integrates huge volumes of data from heterogeneous sources in order to give immediate answers to key questions of the public transportation system and to adapt that system to the demand’s needs.

Some advanced analytics solutions for public transport are:

• Depth analysis of demand for a better service
• Optimizing billing/ticketing operations
• Detection of inefficiencies in routes
• Predicting equipment failure: corrective maintenance
• Predicting future demand
• Integrated business view: all data sources together