This document discusses smart city and safe city initiatives in New Zealand cities. It describes several smart city projects underway in Christchurch, Wellington, and Auckland focused on asset management, transportation monitoring, and flexible sensor platforms. The document outlines a vision for an integrated interdisciplinary asset management model across the public sector in New Zealand that uses common data standards and shares information and analytics capabilities to plan infrastructure renewal and monitor asset utilization. It argues that undiscovered opportunities exist for wider collaboration across the public sector to build New Zealand's capabilities and realize the vision of a smart nation.

1. Seismics and the City
Haydn Read | Programme Director LINZ
18 March 2016

3. ‘SMART CITY’
Asset Management Practices
&
‘SAFE CITY’
Community Outcomes

5. DATA

7. MORE DATA

8. really so fanciful.....????

9. And, what does it mean.....????

10. Really mean.....????

11. Real World Problem - Schematic

12. The Practical Problem – Deteriorating Assets

13. The Practical Outcome – Cool Cities to live in

14. ‘SMART CITY’
Asset Management Practices
&
‘SAFE CITY’
Community Outcomes

15. The Smart City
Partners

16. The Smart City Projects
Christchurch
Building Capability – investigates Smart City initialisation challenges in organisations,
and the information and engagement requirements to enable Smart City innovation
and investment across local and central government.
Flexible Sensing Platform – uses a common IT ‘stack’ in which all sensors are able to
plug into irrespective of type, quantity and location (a new instance replicated off the
Wellington City platform).
Smart City Backbone – uses a range of sensors to monitor air quality, noise, CCTV
footage, and so on. This provides data to city managers to inform future investment
decisions (a new instance replicated off the Wellington City platform).
Christchurch City Instance Initiatives – prioritises a number of options for the
Christchurch rebuild according to greatest benefits.

17. The Smart City Projects
Wellington
Flexible Sensing Platform – uses a common IT ‘stack’ in which all sensors are able to plug
into irrespective of type, quantity and location.
Smart City Backbone – uses a range of sensors to monitor air quality, noise, CCTV footage
and so on.
CCTV Multimodal Transport and Pedestrian Counting – measures movement around the
city and infrastructure utilisation through time.
Wellington Smart City Stakeholders – uses Smart City technologies to inform responses to
certain circumstances (such as breaking glass in Cuba Mall) – and information to inform
response decision where required (for example a Police callout).
Auckland
3D+ Asset and Non-Asset Information Management – applies a visualisation model of
assets within Auckland City to suburban examples.
Wynyard Quarter Smart – investigates a community interface with multiple stakeholders
and the outcomes that a wider Smart City initiative might look like in a specific zone or
precinct.

18. SMART CITY - The Foundations
3-Pillars (Strategic Decisions)

19. 1st Pillar - Meta-Data Standards
1st Strategic Decision
3-Waters
& Transport
& Built
& Green

20. 2nd Pillar - Information Systems
2nd Strategic Decision

21. 3rd Pillar - Analytics
3rd Strategic Decision
DATA SCIENCE
(Statistical Models)
MATERIALS SCIENCE
(Physical Models)

22. 3 Pillars - Integrated
Having Set the Scientific Platform…..
These must line up

23. 3 Pillars – Disparate Data Alignment
Most are here

24. 3 Pillars - Integrated
Where ought to work towards………

25. 3 Pillars - Integrated
Where ought to work towards………
LINZ / MBIE
Metadata
(shared data)
project

26. 3 Pillars - Integrated
Where ought to work towards………
LINZ
Smart City
project
LINZ
Metadata
(shared data)
project
LINZ / MBIE
Metadata
(shared data)
project

27. 3 Pillars - Integrated
Where ought to work towards………
This is how
LINZ
Smart City
project
LINZ / MBIE
Metadata
(shared data)
project

28. Asset Planning Model
Fit for purpose “FOR ALL’

29. Interdisciplinary Model – A data Platform

30. Interdisciplinary Model – Adopting Standards
International Standards
Local, Regional, National Standards
Design & Build Standards
Technical Standards
GIS Standards
Meta-Data Standards
Heirarchy

31. Interdisciplinary Model – The Model Hierarchy
Social Models
Cultural Models
Environmental Models
Economic Models
Financial Models
Demand Models
Capacity Models
Resilience Models, Criticality Models
Condition Models
Statistical Models
Heirarchy

32. Interdisciplinary Model – The first blocks

33. Interdisciplinary Model – Asset Agnostic

34. Interdisciplinary Model – One Asset Platform

35. Interdisciplinary Model – Intra-sector

36. Interdisciplinary Model – Intra-sector

37. Interdisciplinary Model – LGNZ Sector

38. Interdisciplinary Model – Inter-Sector (Roads)

39. Interdisciplinary Model – Inter-Sector (Housing)

40. Interdisciplinary Model – NZ Public Sector

41. Interdisciplinary Model – NZ Public Sector
All Assets - 3-Waters / Roads / Housing / Buildings

42. Interdisciplinary Model – NZ Public Sector
All Assets - 3-Waters / Roads / Housing / Buildings
This is how
together

43. ‘SMART CITY’
Asset Management Practices

44. Future Liability
Renewals Planning for Network Infrastructure
ASSET CONDITION
The ‘Balance Sheet’

49. Future Affordability
Matching Depreciation Expense (Income)
&
Renewals Expense

50. Future Liability – Water Supply

51. Future Liability - Transport

52. Future Liability – Network Infrastructure - Combined

53. Future Liability
Renewals Planning for Social Infrastructure
Housing & Property Portfolios
Electronic Import of Asset Data in 2D & 3D
ASSET CONDITION
SMART TOOL’S

54. Data Management – Building Competency
Data capture from ‘As-built’ – using BIM
Stop ‘bleeding data’ at source……

55. Data Management – Building Competency
Data capture from ‘As-built’
3D BIM (Revit)

56. Data Management – Building Competency
As a desktop tool…..
Improved asset management ‘visualisation’ ……

57. Data Management – Building Competency
On any ‘device’….
Improved asset management ‘visualisation’ ……

58. 3-Waters Assets BIM - Wastewater – Seatoun

59. 3-Waters Assets - Augmented Reality
In an ‘alternate reality’
Improved asset management ‘visualisation’ ……
Buildings are ‘next’……

60. Housing Assets & BIM – into Augmented Reality

61. ‘Current State’
Planning for Network Infrastructure
ASSET UTILISATION
&
ASSET DEMAND

62. Transportation Network – Real-time Traffic Monitoring
‘Bluetooth Technologies’

63. Transportation Network – Speed & Travel Time

64. Transportation Network – Congestion

65. Transportation Network – MODE

66. Transportation Network – MODE

67. Spatial Analytics
Walking Distance

68. Spatial Analytics
Walking Distance

69. Spatial Analytics
Walking Distance

70. Spatial Analytics
‘Anything’ to ‘Anywhere’

71. Spatial Analytics
‘Anything’ to ‘Anywhere’
Bluetooth technologies
et al.....
will provide realtime analytcs to tell you how
long it will take you to get anywhere from anywhere

72. Kite Gateway
The Kite Gateway collects
and consolidates all data
received from all sensors
within proximity. Sensors
transmit data through direct
connection to the Kite
device or through
connections with other
sensors, leveraging mesh
networking.
Cloud / Big Data
Kite backhauls sensor data to a city’s chosen cloud and analytics
platform, such as NEC’s Cloud City Operations Centre. Data is also
shared with appropriate content management systems, as well as
citizens and local businesses through an API.
Waste Sensors
Installed in waste receptacles, waste sensors measure
rubbish levels and inform a waste management company
when to empty bins, saving thousands in diesel costs and
reducing environmental impact.
Parking Sensors
Recessed into parks, parking sensors share data for city
traffic management, city asset management and inform
citizens of vacant parks in a city.
Kite Mote
A Kite Mote is an easy-to-install
sensor which leverages battery or
solar power, removing the need for
any civil engineering. This example is
measuring air quality at a street level
and relaying data back to the Kite
Gateway through mesh networking.
Streetlight Sensors
Sensors detect light levels and
pedestrian proximity to automatically
adjust brightness, saving a city power
and environmental costs.
A ‘Smart City’

73. ‘SAFE CITY’
Community Outcomes

74. The LINZ Projects – CCTV
Helping our more vulnerable citizens

75. The LINZ Projects – Flexible Sensing Platform
with CCTV

76. The LINZ Projects – Flexible Sensing Platform
….and monitoring air pollution with
environmental Sensors

77. The LINZ Projects – Flexible Sensing Platform

78. The LINZ Projects – Flexible Sensing Platform

79. The LINZ Projects – Smart City Backbone
The Sensor Location

80. The LINZ Projects – Smart City Backbone
By Suburb (or any locality defined)

81. The LINZ Projects – Smart City Backbone
Temperature, sound, humidity, CO2

82. If working together there are clearly
public value opportunities which the
wider public sector ought to adopt,
then……...
Our Challenge to the
Wider Public Sector

83. What are the undiscovered
institutional arrangements which let
the wider public sector share in / or
enable these types of capabilities?
In a harmonised way?
….and in an ongoing way

85. We have learnt we can work together;
What are the undiscovered
institutional arrangements which let
the wider public sector share in / or
enable these types of capabilities?
In a harmonised way?
….and in an ongoing way
……all in order to become a
Smart Nation