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Post on 17-Jun-2020
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Geospatial Enabled Development Projects
Chris Gibson
Creative Business Models
• Viewed as long term mutually beneficial
opportunities
• SaaS & HaaS can reduce cost implementation
• Alternative charging mechanisms
• Price per transaction
• Price per acre
2
Principal Areas For Adoption
• Land Administration
• Smart Cities
• Agriculture
3
PPP Concept for Land Administration
• Work with the Government to create a mutually beneficial PPP
• Maintain Government’s base budget with current baseline revenues
• Leverage existing land-related fees, charges and taxes; assist in identification of alternative revenue sources
• Leverage local human resources, government team throughout all phases of the project
• Benefits of PPP approach • Promotes close cooperation
between partners
• Risk is shared by partners
Farming as a Service
• Subsidies
• Financing
• Pay per use model
[Date] Presentor´s name 6
Smart Governance Development Themes
Safer city by monitoring
and analytics
Taking care of the
city by collaboration
and optimized
maintenance
Sustainable energy
production and reliable
energy supply by smarter
grids
Better living environments
by
collaborative and visual land
use planning process
Reliable water supply
by infrastructure
knowledge
and preventive
maintenance
Fluent building process
by eGovernment and
BIM-based design
[Date] Presentor´s name 7
Smart City example: Jyväskylä
• Centralized and
connected feedback
process has brought
new level of
efficiency
• More than 40 groups
• 650 professional
users “Every piece of feedback
is sent directly to the right
person to be processed.” - Janne Hartman, GIS
Manager
Citizen engagement and contractor
collaboration through web and smart phones
24/7 customer services through eGovernment applications, efficiency
via fluent back-end integration
Basic set up & introduction:
Data, processes...
Land use planning: master planning, city modelling, citizen and business participation
Smart City example: Cape Town
[Date] Presentor´s name 8
City of Cape Town initiated
Informal Settlements project
to improve safety of high risk
areas. Key actions:
• Aerial data capture was used to
collect up-to-date base data of high-
risk regions
• Spatial Analytics (Trimble
eCognition) was used to detect the
location of informal settlements
• Field data capture was executed to
create a socio-economic database
• Change detection is carried out on
regular basis to keep data up-to-
date
The City now understands
situation better and assist the
inhabitants more efficiently in
a case of emergency
UAS used for basic data capture
Analytics used for locating settlements
Analytics used for change detection,
field solutions for socio-economic data
capture
2/9/2017 10
Thank You
11
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