Karl Allmark CEO CITY TECHNOLOGY

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Karl AllmarkCEOCITY TECHNOLOGY
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Prototype Malta Why?

• Most Patents don't Apply here.
• Small Size - Rapid rollout.
• Small Size - Observe results.
• Small Size - Less threatening.
• Small Size - More sympathy.
• Large enough to make results meaningful.
• Many problems to solve.
• Access to EU funding schemes.
• Geographic location.
• Going through a rapid transition.

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MISSION OBJECTIVE

• To become the global leader in designing and
  managing intelligent cities.
  
• By making available technologies which will
  enable integration of social, economic and
  environmental dimensions.
  
• WHICH WILL ENABLE OUR CUSTOMERS
• To produce sustainable, pleasant and healthy
  communities within which they can pursue their
  personal goals.
  
• By adopting the most efficient systems to suit
  their particular needs and wants.

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MISSION IMPLEMENTATION

• CITY MIND (Modern Ideas New Designs)
• Will work with up to 2 local and 3 foreign
  entities per sector.
  
• The collective conscious and unconscious
  processes that direct and influence behavior
  
• CITY ASPECT (Active System Performance Estimate
  Computation Tool)
  
• Applications delivered via an ASP Model.
• A way in which something can be viewed by the
  mind looked at all aspects of the situation
  
• CITY MATRIXES (MArket TRacking Immediate
  eXploitation Employment System)
  
• Franchise and clustered company systems. Targeted
  at SMEs.
  
• A situation or surrounding substance within which
  something originates, develops, or is contained
  
• CITY 4D (Space-Time)
• Shared Temporal Data Portal.
• CITY VENTURE (Money, Money, Money)
• Joint ventures and Funding arm, works closely
  with MBAN.
  

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Most planning is like..

• Designing the ultimate paper plane!

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1. Design our plane

• Considering
• Weather
• Wind
• Gravity
• Direction
• Speed

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2. Launch our plane

• Hoping that
• Weather is good
• Wind is mild
• Target is reached
• Speed is fast

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3. Observe the result

• Random results due to unpredicted changes we
  cannot control!

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The best planning
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They built gauges.
To measure changes
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Simulators.
To test different responses
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Instruments.
To rapidly respond control
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and systems
To predict, respond quicker
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Step 1 Network
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Network
Which forecast will prevail? What is the overall
policy? What has an impact on what?
Can I reduce double work? What is happening elsew
here?
Current Govt. Databases
Current Private Databases
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Network
The creation of a network, would in many cases
improve dramatically the availability of
effective research, and consolidate numerous
planning processes
A network
Current Govt. Databases
Current Private Databases
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Network
It would consolidate private and public systems
which both can benefit from a single
comprehensive source, and would make more data
accessible for analysts to study
A network
Reports on actual data, instantly
Current Govt. Databases
Current Private Databases
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Network
It generates fast integrated reports from all
data variables available
A network
Reports on actual data, instantly
Current Govt. Databases
Current Private Databases
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Step 2 System
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Govt. Policy System
A system describes how data in the network is
related, one to the other.
An official policy system
A network
Reports on actual data, instantly
Current Govt. Databases
Current Private Databases
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System
Analysts describe how data in the network is
related to their function, and understand how
their functions relate to every other policy
planner.
An official policy system
Authorised policy analyst assumptions
A network
Reports on actual data, instantly
Current Govt. Databases
Current Private Databases
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System
A change in policy from one department/sector/etc.
An official policy system
Authorised policy analyst assumptions
A network
Reports on actual data, instantly
Current Govt. Databases
Current Private Databases
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System
A change in policy from one department/sector/etc.
will immediately flag changes and effects on
someone elses plans!
An official policy system
Authorised policy analyst assumptions
A network
Reports on actual data, instantly
Current Govt. Databases
Current Private Databases
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Step 3 Test Scenarios
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Run scenarios and evaluate impact on others prior
to entering in system
An official policy system
Authorised policy analyst assumptions
A network
Reports on actual data, instantly
Current Govt. Databases
Current Private Databases
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Step 4 PREDICT
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Data Jan Feb
Mar Apr
Time
An official policy system
Authorised policy analyst assumptions
A network
Reports on actual data, instantly
Current Govt. Databases
Current Private Databases
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Data Jan Feb
Mar Apr
Time
Observe
An official policy system
Authorised policy analyst assumptions
A network
Reports on actual data, instantly
Current Govt. Databases
Current Private Databases
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Data Jan Feb
Mar Apr
Time
Observe
Evaluate
An official policy system
Authorised policy analyst assumptions
A network
Reports on actual data, instantly
Current Govt. Databases
Current Private Databases
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Data Jan Feb
Mar Apr
1-2 yrs
Time
Observe
Evaluate
Predict
An official policy system
Authorised policy analyst assumptions
A network
Reports on actual data, instantly
Current Govt. Databases
Current Private Databases
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Data Jan Feb
Mar Apr
1-2 yrs
Time
Observe
Evaluate
Predict
Control
An official policy system
Authorised policy analyst assumptions
A network
Reports on actual data, instantly
Current Govt. Databases
Current Private Databases
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Huffs Model
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Impact of Transportation Costs

• Increased shipping costs can lead to higher
  prices (or lower profits).
  
• Market is segmented by lowest cost of delivery.

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Hotellings model

• Harold Hotelling developed a model that explained
  a variety of phenomena.
  
• Two producers competing for the same consumers
  will select to move as close as possible to each
  other.
  
• This can explain the conservative leaning of
  Democratic Presidential candidates as well as
  liberal leanings of Republican Presidential
  candidates.

_at_copied-right by A.B. Sanders
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Dr. Hans Gill Scientific AdvisorCITY MIND
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• State Of Play
• Malta can be modelled as a system to a chain of
  supermarkets, hotels, retail
  
• outlets, natural recreational facilities and
  industrial sites.
  
• As you have seen, retail modelling has been
  carried out, since, 1931, using
  
• gravitational physics, formalised by Sir Isaac
  Newton in the 1700s.
  
• These models have now been evolved, in 2004, to
  include very
  
• powerful prediction algorithms using theorems
  from Geometric Algebra
  
• and Multiple Hypotheses Management Systems.
• These models have been extensively utilised by
  Modern Defence and
  
• Space industries and have been proved to be an
  effective way to deal
  
• with the logistics of ordinance and personnel
  dynamics anywhere on our
  
• planet indeed, now as far as Jupiter!
• Malta can adapt these complex systems to its
  advantage, very
  
• efficiently due its unique geographical
  position and its very powerful
  

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Gravity Models of Interaction

• William J. Reilly published The Law of Retail
  Gravitation in 1931.
  
• Reilly proposed that a formula could be used to
  calculate the point at which customers will be
  drawn to one or another of two competing
  centers.
• The formula generates the break point between
  customers who will go to one center and those who
  will go to the other, located on a line
  connecting the two centers. The break point lies
  at distance xj from the smaller of the two
  centers. In the formula, dij is the total
  distance between the two centers, Pi is the size
  of the larger center, and Pj is the size of the
  smaller center.

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Application of Reillys Law
Large outlet shopping malls in Ohio and
surrounding states.
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Overlay on Road Map
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• Malta Is An Island Of Variation
• Malta has land and the sea for development
• Malta has liberal building projects
• Malta has a semi-stable road traffic system,
• Malta has an operating public transport system,
• Malta has competing taxi services,
• ...Further, given that,
• Malta has seasonal variations,
• Malta has a statistics collecting department
• Malta has MEPA
• Malta has a tax system,
• Malta has a stock exchange,
• Malta has a time-varying population.

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• Malta Is An Island Of Variation
• The price of summer consumables, like cold drinks
  remain constant
  
• throughout the year. Why?
• The complaints about the pot-holes and the
  unregulated taxi prices lead
  
• to the abuse of new tourists and Maltas
  International reputation. Why
  
• does this continue, especially, when we
  consider the size of Maltese
  
• islands?
• The tax system and the industrial building
  projects satisfy very few
  
• people. Why?
• Especially, when we consider the size of the
  Maltese islands.
  

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Market Areas

• Market areas impact the location of retail
  businesses as well as manufacturing.
  
• The further the distance from the origin, the
  lower the demand for the product or service.
  

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Webers Industrial Model Location considers P
otential Accessibility on a Plane.
The hollow circles are things that the facility
(e.g. a factory) wants to reach (e.g. input
sources or markets for outputs).
The dark point in the middle is the factory we a
re trying to locate. The weights refer to the s
hipping costs per final unit for each input or
output. Find the location that will minimize tota
l weighted transportation costs.
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The Solution

• WE, you and us can solve all of the above by
  taking advantage of current mathematical physics
  and modern city technology.
  
• We can achieve this by developing for you an
  integrated predictive control system, much like
  the one that is used by NATO as the standard for
  Command Control Communications Integration.
• Consider, Malta as a complex hyper-market, where
  its roads are aisles which lead people from their
  places of residence to products.

• e.g. beaches, recreational centres, local shops,
  hotel facilities etc.
  

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• An Integrated Predictive Control System will
  enable a government
  
• to produce policies for education, housing,
  tax, tourist
  
• management, hotel development and
  international business
  
• indeed, all the facilities, including
  sophisticated recreation centres
  
• that a modern country desires to give for all
  its peoples of all ages
  
• so that financial liquidity is maximised and
  stable progress
  
• reassured in all areas.

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• I consulted for the Tesco Supermarket chain in
  2002 and
  
• developed a unique data history prediction
  model, which
  
• bypassed the standard approach of trying to map
  all known
  
• variables into complex systemsa tedious
  approach
  
• developed by the commercial world over a period
  of 400
  
• years.
• Instead they now have one of the most powerful
  methods of
  
• prediction for the movements of customers
  (tourists) and
  
• their desire for the right products, at the
  right time of the
  
• year, for their outlets all over the world!

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• Considerations for prototype Malta
• There are uneven distributions of natural
  resources including the size and location of
  centers of consumption of the industrial
  products.
• 2. The entrepreneurs seek to minimize the total
  cost of production.
  
• 3. There are several fixed locations of labour
  where given wage rates operate.
  
• 4. Costs of land, building, equipment, interest,
  and depreciation of fixed capital should vary
  regionally.
  
• 5. Currently there is an unregulated system of
  transport all over Malta.
  
• 6. Resources and markets can obtain a
  monopolistic advantage from its choice of
  location.
  
• Bradford and Kent Human Geography Theories and
  Their Applications (1977, pages 42-43)

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Conclusion

• Thus, Malta has the potential to evolve itself so
  that all its policies are scientifically advised
  and financial profits are substantially
  increased. With increased financial resources
  Malta can expand by constructing cities on the
  sea.
• The world thinks Malta is small.
• We you and us can prototype with elegance
  recall the word all is contained in the word
  small.

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Malta 2015 ?
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