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08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

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Page 1: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015
Page 2: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

Oct 2015

Real Time Demographics in

Smart Cities

Dr. Erez Weinroth

Page 3: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

Big Data insights: “Holy Grail”

Page 4: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

Why ?

Air pollution is increasing. How can we quantify exposure of population to the pollution clouds ?

Page 5: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

How?

Page 6: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

What?

Home zone

Traject..s

Population dispersion

Socio eco levels

Work zone

Dwelling times

OD matrix

Religion

Population size

Products and results of tempo-spatial analysis

Population quantification

Socio economic levels

Origin (home) zone

Population dispersion

• Accumulative system

• Dwell and visit times

• Specific research

• Population clustering

Page 7: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

Real Time Demographics

channel 2 Live

Client • National Media

• Event Headquarters

• First Responders

Challenge • Identify Crowd Control

• Population management

• Geo-Temporal alerts

• Analysis and planning

Value • Quick and Measured response.

• Effective resource allocation.

• Mitigation of spillover effects.

Social Demonstration - Summer 2011

Page 8: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

Festival Management – Czech Republic 2012

Client

Challenge • Monitor open venue festival

participants

• Participant profiling

Value • Near real time updated data.

• Effective resource allocation.

• Quantified participant analysis

Page 9: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

Urban planning – Austria 2012

Client • Local Municipality

• Regional Municipality

Challenge • Commuters patterns

• Land use profiling

Value • Population hourly/daily commute pattern

• Land use management

• Transportation planning (origin destination matrix)

Page 10: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

Strategic Planning – Jerusalem, Israel 2010 – 2012

Client – EDEN, Municipal company • Developing the Jerusalem city center

• Project - Light rail train (a $1 Billion project)

Challenge • Monitor influence of the new light rail train on business due to mobility changes.

• How public institutions gain KPIs to manage and monitor a streets zone of private business?

Value • Population hourly/daily commute pattern

• Ongoing survey - identify commute shift

• Support resource allocation decisions.

Page 11: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

Origin of city center visitors

Jerusalem

Sumeria

Other settlements

Tel Aviv - Jaffe

Biet shemesh

Maale Adomim

Mevasert Zion

Bietar Eilit

Petach Tiqwa

Modien

Page 12: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

Origin of city center visitors – statistical areas

ארקמ

%1.

0 - %

0.0

%3.

0 - %

2.0

%5.

0 - %

4.0

%8.

0 - %

6.0

%2.

1 - %

9.0 %

2 - %

3.1

%5.

4 - %

1.2High

Low

Page 13: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

Crisis Management – Israel 2012

Client • The Home Front Command - IDF

Challenge • Monitor influence of conflict on local population

Value • Ongoing survey - near real time data.

• Effective resource allocation.

• Mitigation of spillover effects.

• Population hourly/daily commute pattern

• Ongoing survey - identify commute shift

• Support resource allocation decisions.

Population

Migration

Population Difference

Values

Morning Date 2012-11-17

Page 14: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

Population dispersion Modien residences 06:00

Legend

% from total

residences

Page 15: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

Population dispersion Modien residences 12:00

Legend

% from total

residences

Page 16: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

Population dispersion Modien residences 20:00

Legend

% from total

residences

Page 17: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

Big data vs. Privacy

Page 18: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

Thank you

[email protected]

+972-544914527

Page 19: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

• Accuracy

• Viable assumptions about 85% of an entire population can be achieved using data

compiled from just a single integration with a mobile network operator (covering less

than 15% of the population)

• Device & Network agnostic

• No need to install software on phones or to approve access on installed applications

• All networks and devices are supported (e.g. Smart phones. Legacy phones…)

• Patented and proven technology

• System developed, implemented and working

• Anonymity and security in accordance with highest regulatory standards

Unique Advantages

Page 20: 08. Real Time Demographics in Smart Cities_Erez Weinroth_Trendit_Smart City 2015

The information contained in this document is Proprietary and Confidential.

Duplication in whole or in part is prohibited without express written permission of trendit Ltd.

Deliverables

Real Time People Meter

Event Real time data

Sites Real time

Comparison

Alerts per predefined

patterns

Accumulative Dwell Time

Meters Land

Usage/Value Segmental Metering

Predefined areas

comparison

Simple Pattern creation

Big Data Analytics

Predictive Analytics

Advance Pattern Creation

Statistical Modeling

Real Time

• Applications

• Dashboard API

• Reports

Accumulative

• Dashboard

• Dashboard API

• Reports

• Feedback (to Real-time Alert Application)

Big Data Analytics

• Reports

• Feedback (to Real-time Alert Application)