Mobile and Location Based Services Anto Aasa PhD , Senior Research - - PowerPoint PPT Presentation

mobile and location based services
SMART_READER_LITE
LIVE PREVIEW

Mobile and Location Based Services Anto Aasa PhD , Senior Research - - PowerPoint PPT Presentation

Mobile and Location Based Services Anto Aasa PhD , Senior Research Fellow department of geography University of Tartu Estonia http://aasa.ut.ee/augsburg http://mobilitylab.ut.ee/eng/ http://aasa.ut.ee/augsburg Eesti Capital: Tallinn Area:


slide-1
SLIDE 1

Mobile and Location Based Services

Anto Aasa

PhD, Senior Research Fellow

department of geography

University of Tartu

Estonia

http://aasa.ut.ee/augsburg

slide-2
SLIDE 2

http://mobilitylab.ut.ee/eng/

http://aasa.ut.ee/augsburg

slide-3
SLIDE 3

http://aasa.ut.ee/augsburg

Eesti

Capital: Tallinn Area: ~45000 km2 Population: 1.35 M Currency: €

slide-4
SLIDE 4

http://aasa.ut.ee/augsburg

35 825 784 1386 200 400 600 800 1000 1200 1400 1600

Average income, €

More: link

slide-5
SLIDE 5

Estonia is digital society

https://e-estonia.com

slide-6
SLIDE 6
slide-7
SLIDE 7
  • Mobile and Location Based Services

– What? Why? – Technology – Influences – Applications – …

http://aasa.ut.ee/augsburg

Computational geography Big data ….

slide-8
SLIDE 8

http://aasa.ut.ee/augsburg

1976

slide-9
SLIDE 9

Mobile & Location Based Services

  • http://aasa.ut.ee/augsburg
slide-10
SLIDE 10

Passing the course:

  • Lectures
  • Literature
  • Essay: „Privacy concerns: myth or reality?“
  • Practical analysis & report:

1) Analysis of Call Detail Record data: „German tourists in Estonia compared with Italian, French, and British tourists“ 2) GPS data based tourism trip analysis

Deadline: ???

slide-11
SLIDE 11

Plan of Lectures:

Date Time Topic Feb 18, Tu 10…12 Introduction 14…16 GIS for mobile and location based services Feb 19, We 10…12 Positioning Technologies 14…16 Location intelligence. Privacy. Crowd Sensing Feb 20, Th 10…12 Legislation 14…16 Effects of ICT on worldview Feb 21, Fr 10…12 LBS in tourism industry 14…16 Futu

slide-12
SLIDE 12

Location Based Services (LBS)

  • Wikipedia (2012): LBS is an information or entertainment service,

which is accessible with mobile devices through the mobile network and which uses information on the geographical position

  • f the mobile device
  • Wikipedia (2016, 2015): Location-based services (LBS) are a general

class of computer program-level services that use location data to control features.

  • Wikipedia (2018, 2017): A location-based service (LBS) is a

software-level service that uses location data to control features.

http://aasa.ut.ee/augsburg

slide-13
SLIDE 13

Location-based service (LBS)

  • Wikipedia 2019: a general class of policies in software-level

services that provide for accessing data, files, pipes, memory

  • bjects, streams and other or online services.
  • Access policies are controlled by location data and/or time-of-day

constraints, or a combination thereof.

  • As such, an LBS is an information service and has a number of uses

in social networking today as information, in entertainment or security, which is accessible with mobile devices through the mobile network and which uses information on the geographical position of the mobile device.

http://aasa.ut.ee/augsburg

slide-14
SLIDE 14

Location-based service (LBS)

  • Wikipedia 2020: A location-based service (LBS) is a general

term denoting software services which utilize geographic data and information to provide services or information to users

http://aasa.ut.ee/augsburg

slide-15
SLIDE 15

No LBS or bad LBS?

http://aasa.ut.ee/augsburg

Thank you, GPS…

slide-16
SLIDE 16

Keywords to describe contemporary society:

  • Digital revolution
  • Information society
  • Digital society, Digital Citizen
  • Digital divide
  • Innovation
  • Mobility growth

– Physical – Virtual

http://aasa.ut.ee/augsburg

slide-17
SLIDE 17

Mobile society

  • Compaction of time-space

– Virtual availability

  • Widening of time-space

– Physical possibilities

http://aasa.ut.ee/augsburg

slide-18
SLIDE 18

Rapid changes

http://aasa.ut.ee/augsburg

slide-19
SLIDE 19

100 200 300 400 500 600 700 800 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

No of Cars in Estonia, (x 1000)

slide-20
SLIDE 20
  • Dispersion of communication networks
  • Increase of communication distances

http://aasa.ut.ee/augsburg

slide-21
SLIDE 21

http://aasa.ut.ee/augsburg

Time distance from London (1914)

slide-22
SLIDE 22

Time distance from London (2016)

http://aasa.ut.ee/augsburg

slide-23
SLIDE 23

http://aasa.ut.ee/augsburg

Physical distance is not always euclidean…

slide-24
SLIDE 24

Fragmentation of trip

slide-25
SLIDE 25

http://aasa.ut.ee/augsburg

Relative distance

Tallinn München

connections & money

slide-26
SLIDE 26

Direct regular connections from Baltic capitals (2014)

http://aasa.ut.ee/augsburg

61 35 35

slide-27
SLIDE 27

Train connection

FROM: Munich airport TO: University of Augsburg Distance: 95 km Train: 2h 11 min

http://aasa.ut.ee/augsburg

FROM: University of Tartu TO: Tallinn airport Distance: 181 km Train: 2h 5min

FROM: Tallinn TO: Munich Distance: 1500 km Flight: 2h 30min

slide-28
SLIDE 28

Internet speed from Tartu, Estonia

http://aasa.ut.ee/augsburg

slide-29
SLIDE 29

http://aasa.ut.ee/augsburg

slide-30
SLIDE 30

1995

http://aasa.ut.ee/augsburg

putty

slide-31
SLIDE 31

Innovation speed

http://aasa.ut.ee/augsburg

slide-32
SLIDE 32

diffusion of the Internet

http://aasa.ut.ee/augsburg

slide-33
SLIDE 33

http://www.connectorsupplier.com/3g-versus-lte-versus-true-4g-speeds-huff-060413/

http://aasa.ut.ee/augsburg

slide-34
SLIDE 34
  • Mobile phone penetration
  • Internet penetration
  • M-internet

NMT & GSM Coverage area

http://aasa.ut.ee/augsburg

slide-35
SLIDE 35

EMT 3G coverage area, Dec 2011

http://aasa.ut.ee/augsburg

slide-36
SLIDE 36

EMT 4G coverage area, Dec 2011

http://aasa.ut.ee/augsburg

slide-37
SLIDE 37

EMT 4G coverage area, Jan 2015

http://aasa.ut.ee/augsburg

slide-38
SLIDE 38

http://aasa.ut.ee/augsburg

Statistics Estonia

slide-39
SLIDE 39

50 100 150 200 250 300 350 400 1980 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010

Clients of Cable TV, 1000

http://aasa.ut.ee/augsburg

slide-40
SLIDE 40

50 100 150 200 250 300 1980 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010

Clients of broadband Internet, 1000

http://aasa.ut.ee/augsburg

slide-41
SLIDE 41

100% 120% 140% 160% 180% 200% 220% 240% 1980 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 Fixed phonesin urban areas, 1000 Fixed phones in rural areas, 1000 Digital divide

http://aasa.ut.ee/augsburg

slide-42
SLIDE 42

500 1000 1500 2000 2500 3000 3500 1980 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010

Public phones

http://aasa.ut.ee/augsburg

slide-43
SLIDE 43

Statistics Estonia Telegrams sent in Estonia

http://aasa.ut.ee/augsburg

slide-44
SLIDE 44

Internet users in EU

http://aasa.ut.ee/augsburg

slide-45
SLIDE 45

http://www.internetworldstats.com/stats9.htm#eu

Data:

slide-46
SLIDE 46

2017: EU average Internet penetration = 85.7%

59.80% 62.80% 69.10% 72.40% 73.30% 74.40% 75.50% 75.90% 79.40% 80.50% 84.60% 84.80% 85.20% 85.60% 86.70% 86.80% 87.10% 87.90% 88.30% 89.60% 91.60% 92.50% 92.90% 93.80% 94.80% 94.80% 96.90% 97.50% 0.00% 20.00% 40.00% 60.00% 80.00% 100.00% Bulgaria Romania Greece Portugal Poland Croatia Slovenia Cyprus Malta Hungary Austria Lithuania Slovakia Latvia Italy France Spain Belgium Czech Republic Germany Estonia Finland Sweden Ireland Netherlands United Kingdom Denmark Luxembourg

Internet penetration, 2017

46.8% 43.7% 45.9% 56.5% 36.3% 42.8% 43.9% 67.4% 73.7% 54.1% 41.9% 0.0% 44.2% 37.0% 50.2% 50.8% 49.9% 0.1% 43.6% 38.4% 47.5% 48.7% 62.5% 56.9% 58.7% 67.2% 64.8% 53.1% 0.0% 20.0% 40.0% 60.0% 80.0% 100.0% Bulgaria Romania Greece Portugal Poland Croatia Slovenia Cyprus Malta Hungary Austria Lithuania Slovakia Latvia Italy France Spain Belgium Czech Republic Germany Estonia Finland Sweden Ireland Netherlands United Kingdom Denmark Luxembourg

Facebook penetration, 2017

https://www.internetworldstats.com/stats9.htm#eu

slide-47
SLIDE 47

Internet users in World

http://aasa.ut.ee/augsburg

slide-48
SLIDE 48

Andmed: http://www.internetworldstats.com/stats.htm

578.5 1016.8 1405.1 384.6 500.7 582.4 139 235.8 322.4 51.1 139.9 318.6 248.2 273.1 310.3 41.9 77 113.6 20.2 23.9 26.9 200 400 600 800 1000 1200 1400 1600 2008 2011 2014

Internet users, %

Asia Europe Latin-America Africa North-America Central- East Oceania & Australia

http://aasa.ut.ee/augsburg

slide-49
SLIDE 49

Internet users, %

http://aasa.ut.ee/augsburg

slide-50
SLIDE 50

Andmed: http://www.internetworldstats.com/stats.htm

15.3 26.2 34.8 48.1 61.3 70.4 73.6 78.6 86.9 24.1 39.5 52.4 5.3 13.5 27.5 21.3 35.6 48.1 59.5 67.5 72.1 10 20 30 40 50 60 70 80 90 100 2008 2011 2014

Internet users, %

Asia Europe Latin-America Africa North-America Central- East Oceania & Australia

http://aasa.ut.ee/augsburg

slide-51
SLIDE 51

Location Based Services

  • LBS

– Location matters!

  • Find closest
  • Friend Finder, family finder
  • Weather forecast
  • Route
  • Alarms

http://aasa.ut.ee/augsburg

slide-52
SLIDE 52

Where is LBS?

http://aasa.ut.ee/augsburg

slide-53
SLIDE 53
  • Phenomenas related with people have usually same pattern

with population distribution

Distribution of world population

http://aasa.ut.ee/augsburg

slide-54
SLIDE 54

Earth at night

http://aasa.ut.ee/augsburg

slide-55
SLIDE 55
  • Availability of electric power:

http://aasa.ut.ee/augsburg

slide-56
SLIDE 56
  • Population living below national powerty line:

http://aasa.ut.ee/augsburg

slide-57
SLIDE 57
  • Life expectancy

http://aasa.ut.ee/augsburg

slide-58
SLIDE 58

Gini index

  • Inequality of income in society.

Corrado Gini, 1912

http://aasa.ut.ee/augsburg

slide-59
SLIDE 59

Big changes?

Internet traffic in 2007 vs traffic routes in ca 1930

http://aasa.ut.ee/augsburg

slide-60
SLIDE 60

International phone calls

http://aasa.ut.ee/augsburg

http://qz.com/290868/this-map-of-international-phone-calls-explains-globalization/

slide-61
SLIDE 61

World air travel routes

http://aasa.ut.ee/augsburg

http://imgur.com/gallery/vVBTV

slide-62
SLIDE 62

Estonian road network 13th century

http://aasa.ut.ee/augsburg

slide-63
SLIDE 63

EENet magistral internet network

http://aasa.ut.ee/augsburg

slide-64
SLIDE 64

EENet magistral internet network

2015

http://aasa.ut.ee/augsburg

slide-65
SLIDE 65

Optical fiber (2015)

http://www.elasa.ee/index.php?page=64

http://aasa.ut.ee/augsburg

slide-66
SLIDE 66

http://aasa.ut.ee/augsburg

slide-67
SLIDE 67

Operation of LBS

  • Many players
  • Value chain of LBS is very fragmented
  • Roles:

– subscriber, – network, – network operator, – service provider, – content provider

http://aasa.ut.ee/augsburg

slide-68
SLIDE 68

OracleAS Wireless location-based services

https://docs.oracle.com/cd/B25006_02/tour/qt/wireless004.htm

http://aasa.ut.ee/augsburg

slide-69
SLIDE 69

Value chain

Mobile operator LBS user

Network hardware Positioning system Database Data processing Data transmission GIS Spatial interpolation Analysis Application

http://aasa.ut.ee/augsburg

slide-70
SLIDE 70

Axel Küpper http://aasa.ut.ee/augsburg

slide-71
SLIDE 71

http://myovi.blogspot.com.ee/2011/09/6-players-in-location-based-services.html

http://aasa.ut.ee/augsburg

slide-72
SLIDE 72

LBS content

  • Information or message service
  • Location based call forwarding
  • LBS:

– proactive – reactive

http://aasa.ut.ee/augsburg

slide-73
SLIDE 73

LBS applications

  • Business initiative

– Info services – Community services – Traffic telematics – Fleet management & logistics – Mobile marketing – Games

http://aasa.ut.ee/augsburg

slide-74
SLIDE 74

LBS applications

  • Public initiative

– Emergency services – Taxation – Information

http://aasa.ut.ee/augsburg

slide-75
SLIDE 75

Examples of LBS

  • 1. Rescue Board, emergency call location
  • 2. Friend finder
  • 3. Find nearest …
  • 4. Entertainment (games, dating)
  • 5. Inspection (fleet management)

http://aasa.ut.ee/augsburg

slide-76
SLIDE 76

LBS 2015

  • Navigation
  • Mapping & GIS
  • Geomarketing & -advertising
  • Safety & emergency
  • Enterprise applications
  • Sport
  • Games & augmented reality
  • Social networking

http://aasa.ut.ee/augsburg

slide-77
SLIDE 77

Apps

  • > 70 per handheld device
  • 50% never paid > $1
  • Download of „location based“ apps

– 2014: 2.8 billions – 2019: 7.5 billions

http://aasa.ut.ee/augsburg

slide-78
SLIDE 78

Size of app stores

  • ca 2015

– Google Play >1.500.000 – Apple App Store 1.400.000 – Windows Store ~700.000 – Windows Phone Store > 400.000 – Amazon Appstore 330.000 – Blackberry World 223.000

http://aasa.ut.ee/augsburg

slide-79
SLIDE 79
  • Handheld devices with GNSS support:

– 2014: 3.1 billions – 2017: 5.2 billions

  • (many have more than one device)

http://aasa.ut.ee/augsburg

slide-80
SLIDE 80
  • Forecasted GNSS related market size in year 2025: €

4.000.000.000

  • Annual increase: +25%

http://aasa.ut.ee/augsburg

slide-81
SLIDE 81

http://www.gsa.europa.eu/sites/default/files/LBS_0.pdf

http://aasa.ut.ee/augsburg

slide-82
SLIDE 82

Slow start of LBS. Why?

  • Price
  • Spatial accuracy
  • Usability
  • No services?

http://aasa.ut.ee/augsburg

slide-83
SLIDE 83

Background

  • Spatial technology is in „mass consumption“:

– Car navigation – GNSS-Phones – Interactive Internet maps

=> Rapid growth in public awarness about maps, mapping and spatial positioning

http://aasa.ut.ee/augsburg

slide-84
SLIDE 84
  • LBS

– Location context to the „old service“ – New service

  • LBS development is slower than development of technology

http://aasa.ut.ee/augsburg

slide-85
SLIDE 85

Bottlenecks of the LBS

  • High-quality location information
  • Cost and availability of the infrastructure
  • Integration of systems
  • Usability

http://aasa.ut.ee/augsburg

slide-86
SLIDE 86

To overcome bottlenecks

  • Development of positioning technics
  • Cost-effective technology
  • Standards!

http://aasa.ut.ee/augsburg

slide-87
SLIDE 87

To overcome bottlenecks II

  • Context sensitivity
  • Adaptation with user
  • User modelling

http://aasa.ut.ee/augsburg

slide-88
SLIDE 88

http://aasa.ut.ee/augsburg

slide-89
SLIDE 89

User profile

  • IP adress (origin, service provider),
  • user ID,
  • Internet browser

– browser extensions,

  • Display (resolution)
  • Search keywords, click tracking
  • Visit time, spent time

http://aasa.ut.ee/augsburg

slide-90
SLIDE 90

User’s modelling

  • Computer skills (e.g. typing speed)
  • spatial literacy
  • Usage of interactive applications
  • ...

http://aasa.ut.ee/augsburg

slide-91
SLIDE 91

Modelling

  • Users background

– Cultural, – Educational, – Social background, – Psychological, – …

http://aasa.ut.ee/augsburg

slide-92
SLIDE 92

Example of the user modelling

http://aasa.ut.ee/augsburg

slide-93
SLIDE 93

Modelling user

http://aasa.ut.ee/augsburg

slide-94
SLIDE 94

Google about me

http://aasa.ut.ee/augsburg

slide-95
SLIDE 95

LBSi architecture. Example

http://aasa.ut.ee/augsburg

slide-96
SLIDE 96

Adaptation with user

  • Show/hide content
  • Show more/less information
  • Tips, recommendations
  • Focusing on places interesting to users
  • Recommendation of social content

http://aasa.ut.ee/augsburg

slide-97
SLIDE 97

Social component

  • User profile
  • instant messenger
  • Friends
  • Users catalog

http://aasa.ut.ee/augsburg

slide-98
SLIDE 98

LBS architecture

http://aasa.ut.ee/augsburg

slide-99
SLIDE 99

Life cycle of service?

https://www.google.com/trends/

http://aasa.ut.ee/augsburg

slide-100
SLIDE 100

Technological ground

  • Fast development of mobile devices

– Display – GNSS

  • GPS

– A-GPS

http://aasa.ut.ee/augsburg

slide-101
SLIDE 101

http://aasa.ut.ee/augsburg

slide-102
SLIDE 102

http://aasa.ut.ee/augsburg

5110

slide-103
SLIDE 103

GPS: selective availability

http://www.gps.gov/systems/gps/modernization/sa/data/

http://aasa.ut.ee/augsburg

slide-104
SLIDE 104
  • 74% of smartphone users use LBS
  • Smartphone penetration in USA

– 2011: 35% – 2012: 46% – 2013: 56% – 2015: 75%

http://aasa.ut.ee/augsburg

slide-105
SLIDE 105
  • Web 2.0

– user-generated content, usability, and interoperability

  • Web 3.0 (semantic web): allows data to be shared and reused

across application, enterprise, and community boundaries

  • Web 4.0: autonomous, proactive, content-exploring, self-

learning, collaborative, and content-generating agents based

  • n fully matured semantic and reasoning technologies as well

as AI.

http://aasa.ut.ee/augsburg

slide-106
SLIDE 106

Qualitative growth of Internet

http://www.urenio.org/2011/11/17/semantic-web-for-smart-cities/

http://aasa.ut.ee/augsburg

slide-107
SLIDE 107

http://aasa.ut.ee/augsburg

slide-108
SLIDE 108

Practical work

  • 1. Movement of tourists in Estonia.

Mobile positioning

  • 2. Analysis of tourist trip of one person

GPS

  • 3. Essay

http://aasa.ut.ee/augsburg

slide-109
SLIDE 109

Population of France

http://phys.org/news/2014-10-cellphone-population-density.html#inlRlv

http://aasa.ut.ee/augsburg

slide-110
SLIDE 110

Movement / communication patterns

http://phys.org/news/2014-11-mobile-tsunami-ebola-outbreak.html

http://aasa.ut.ee/augsburg

slide-111
SLIDE 111

ebola

http://analyticstraining.com/2014/big-data-analytics-and-the-race-to-control-the-spread-of-ebola/

http://aasa.ut.ee/augsburg

slide-112
SLIDE 112
  • DEVILLE et al (2014) „Dynamic population

mapping using mobile phone data “

  • http://aasa.ut.ee/augsburg/literature

http://aasa.ut.ee/augsburg