Use of Technology in Managing Support Infrastructure

Talking Transit WorkshopApril 6-7, 2016 | Delhi

UITP

BIG DATA IN PUBLIC TRANSPORT

Jaspal SinghUITP India Office


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WHAT IS ITS??Automatic

Vehicle Location System

Passenger Information

System

Automatic Fare Collection

System

Journey Planner Depot

Management System

Fuel Management

System

Financial Management

Bus Management

System

Smart Phone App


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BIG DATA IS..

a term that describes the large volume of data – both structured and unstructured – that inundates a

business on a day-to-day basis

But it's not the amount of data that's important. It's what organizations do with

the data that matters.


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DATA AND TRANSPORT

Open Data – Information that the agencies make freely available to power travel information apps and other tools

Big Data – The analysis of one or more large data sets to reveal patterns or trends and enable action to be taken

Data is emerging as game changer for transport industry

Data Mining - is a collection of techniques for efficient automated discovery of previously unknown, valid, novel, useful and understandable patterns in large databases. The patterns must be actionable so they may be used in decision making.


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WHO SHOULD USE BIG DATA??

Private Operator(Net Cost)

Private Operator

(Gross Cost)

Public Operator


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DATA IS IMPORTANT FOR ALL…

Private Operator(Net Cost)

Private Operator

(Gross Cost)

Public Operator

• To increase Revenue

• To reduce Cost

• To reduce Cost• To minimize Penalty

• To improve efficiency

• To reduce cost


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SOURCE OF BIG DATA

Transport Assets

Vehicle Location Data

Fare Collection Data

Traffic Information

Customers / Users


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USE OF BIG DATA

• Information related to status and performance of transport systems help to improve efficiency, safety and accessibility

• Data from vehicles, trains, roads etc. helps to plan, design, maintain and invest more effectively

• Data on travel patterns/behaviour enables informed choices in real-time for customers

• Analyse and predict the demand of service in future


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CASE STUDY – DELHI CLUSTER SCHEME

• Transport Department introduced Delhi Cluster Scheme to corporatize the bus sector

• There are 6 players which are operating 9 clusters in Delhi


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• Delhi has one of the best contracting model in India, as the operational and fleet efficiency is good compared to public operator

• All buses are equipped with GPS / GPRS and online ETM machines

• DIMTS is using data analytics and bus management system to monitor the operation Still Operators are losing around 6-10% of

total revenue towards Performance Deduction


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Out of 6 players, only one operator is using ERP / MIS system but without analytics

Operators feel that there is minimal need of analysis under Gross Cost System as revenue

is fixed…

Operators receive (vehicle location) and generate (operation) data but don’t use it…


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CASE STUDY - LONDONTfL is collecting large amount of data

everyday..


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LONDON – MANAGING CONGESTION


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LONDON – CUSTOMER SEGMENTATION

TfL uses data to build customer segmentation to understand and plan ticket facilities, signage and

commercial offering


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A passionate champion of sustainable urban mobility, Internationally recognized in the development of this critical policy agendaA long history since 1885, only worldwide network to bring together all public transport stakeholders and all sustainable transport modes1,400 member companies giving access to over 16,000 contacts from 92 countriesOur members are public transport authorities and operators, policy decision-makers, research institutes and the public transport supply and service industry

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THANK YOU!!

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Use of Technology in Managing Support Infrastructure