SUSTAINABLE SMART CITY CONCEPT AND INTEGRATED …...•Competition among cities to engage and...
Transcript of SUSTAINABLE SMART CITY CONCEPT AND INTEGRATED …...•Competition among cities to engage and...
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SUSTAINABLE SMART CITY CONCEPT AND
INTEGRATED LANDSCAPE MANAGEMENT
Prof. Dr. Renaldas Gudauskas Portugal 22.03.2015
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The Key Ideas
• The Global Risks Galaxy
• Smart City
• Highflyers approach
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The Future
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• The world’s urban population is expected
to double by 2050. By 2030, six out of every
ten people will live in a city and, by 2050,
this figure will run to seven out of ten.
• In real terms, the number of urban residents
is growing by nearly 60 million people every
year. As the planet becomes more urban,
cities need to become smarter.
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Concept of Smart City
• Smart City is a city seeking
to address public issues via ICT
based solutions on the basis of a
multi-stakeholder, municipally based
partnership.
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Technological Risk Description
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Critical systems failure Single-point system vulnerabilities trigger cascading
failure or critical information infrastructure and
network. Cyber attacks State-sponsored, state affiliated, criminal or terrorist
cyber attacks. Failure of intellectual property regime Ineffective intellectual property protections
undermine research and development, innovation
and investment. Massive Digital misinformation Deliberately provocative, misleading or incomplete
information disseminates rapidly and extensively
with dangerous consequences. Massive incidents of data fraud/theft Criminal or wrongful exploitation of private data on
an unprecedented scale. Mineral resource supply vulnerability Growing dependence of industries on minerals that
are not widely sourced with long extraction-to-
market time lag for new sources. Proliferation of orbital debris Rapidly accumulating debris in high-traffic
geocentric orbits jeopardizes critical satelite
infrastructure. Unintended consequences of nanotechnology The manipulation of matter on an atomic and
molecular level raises concerns on nanomaterials
toxicity. Unintended consequences of new life science
technologies Advances in genetics and synthetic biology produce
unintended consequences, mishaps or are uses as
weapons.
Source: World Economic Forum
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Critical Failure is the Centre of Gravity
in the Technological Category
6 Source: World Economic Forum
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Framework for Cyber Threats and Responses
7 Source: World Economic Forum
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The Dark Side of Connectivity Constellation
8 Source: World Economic Forum
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Virtuous Cycle of the Digital Economy
9 Source: ECA Digital Agenda for Europe , 2010
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Global Risks for Which Most Progress Has
Been Made within the Last 10 Years
10 Source: Global Risks Perception Survey 2014, World Economic Forum
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The Risks-Trends 2015 Interconnections Map
11 Source: Global Risks Perception Survey 2014, World Economic Forum
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The Global Risks 2015 Interconnections Map
12 Source: Global Risks Perception Survey 2014, World Economic Forum
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The Idea
• At its core, the idea of Smart Cities is rooted in the creation and connection of human capital, social capital and Information and Communication Technology (ICT) infrastructure in order to generate greater and more sustainable economic development and a better quality of life.
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Smart City solutions
• Smart City solutions are developed and
refined through Smart City initiatives,
either as discrete projects or (more
usually) as a network of overlapping
activities.
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The relationship between Projects,
Initiatives and Cities
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A Smart City is a city well
performing in 6 characteristics,
built on the ‘smart’ combination
of endowments and activities of
self-decisive, independent and
aware citizens.
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Smart City characteristics Six characteristics constitute the ends for which
stakeholders participate in a Smart City initiative
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The relationship between components
and characteristics of Smart Cities
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Planning and Management
People, Infrastructure
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Planning and Management
Long term insights based on comprehesive
data analysis, followed up through efficient
daily management, help a city stay vital
and safe for its citizens and businesses
(Big Data analytics).
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Infrastructure
• Smarter cities of all sizes are capitalizing on new technologies and insights to transform their systems, operations and service delivery.
• Fundamental services - such as roadways, mass transit and utilities - make a city desirable and livable, but the key to keeping them viable is readiness for constant change.
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People • Smarter cities use the system of systems to their
advantage when supporting the needs of each citizen through social programs, healthcare and education.
For smart cities to become wise, more than just technology is needed. Steve Jobs, in a 1994 interview in Rolling Stone magazine, perhaps said it best:
• “Technology is nothing. What’s important is that you have faith in people, that they’re basically good and smart, and if you give them tools, they’ll do wonderful things with them“.
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Factors and Indicators
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Standardization and aggregation
0
6
31
74
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Smart City
Characteristics
Factors
Indicators
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• To compare the different indicators it is necessary
to standardize the values. One method to
standardize is by z-transformation.
• This method transforms all indicator values into
standardized values with an average 0 and a
standard deviation 1.
• This method has the advantages to consider the
heterogeneity within groups and maintain its
metric information.
• Furthermore a high sensitivity towards changes is
achieved. 26
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Smart Economy
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indicators weighting
Innovative spirit 3 17%
Entrepreneurship 2 17%
Economic image & trademarks 1 17%
Productivity 1 17%
Flexibility of labour market 2 17%
International embeddedness 3 17%
Ability to transform 0 0%
12 100%
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Smart Mobility
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indicators weighting
Local accessibility 3 25%
(Inter-)national accessibility 1 25%
Availability of ICT-infrastructure 2 25%
Sustainable, innovative and safe transport
systems 3 25%
9 100%
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Smart Environment
indicators weighting
Attractivity of natural conditions 2 25%
Pollution 3 25%
Environmental protection 2 25%
Sustainable resource management 3 25%
10 100%
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Smart People
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indicators weighting
Level of qualification 4 14%
Affinity to life long learning 3 14%
Social and ethnic plurality 2 14%
Flexibility 1 14%
Creativity 1 14%
Cosmopolitanism/Open-mindedness 3 14%
Participation in public life 2 14%
20 100%
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Smart Living
indicators weighting
Cultural facilities 3 14%
Health conditions 4 14%
Individual safety 3 14%
Housing quality 3 14%
Education facilities 3 14%
Touristic attractivity 2 14%
Social cohesion 2 14%
20 100%
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Smart Governance
indicators weighting
Participation in decision-making 4 33%
Public and social services 3 33%
Transparent governance 2 33%
Political strategies & perspectives 0 0%
9 100%
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Smart Cities
• Examples of Smart Cities come in many
variants, sizes and types. This is because the
idea of the Smart City is relatively new and
evolving, and the concept is very broad.
• Every city is unique, with its own historical
development path, current characteristics
and future dynamic. The cities which call
themselves ‘Smart’, or are labelled as such
by others, vary enormously.
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Smart Cities in Europe
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City profiles:
Luxembourg, Aarhus, Umeaa
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City profiles:
Luxembourg, Kaunas, Coimbra
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Luxembourg
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Kaunas
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Coimbra
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Weighted average cluster analysis of Smart
City initiatives and the number of
characteristics per initiative
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Smart City Model
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From Smart City to Smart Nation
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Competitive environment
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• Competition among cities to engage and
attract new residents, businesses and
visitors means constant attention to
providing a high quality of life and
vibrant economic climate.
• Forward-thinking leaders recognize that
although tight budgets, scarce resources
and legacy systems frequently challenge
their goals, new and innovative
technologies can help turn challenges into
opportunities.
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Horizont 2020
44 Source: H2020, 2014
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Embracing connectedness
• Technology is now driving more
organizational change than any other force -
even the economy.
• How are CEOs harnessing this unrealized
potential?
Source – IBM Institute for Business Value, 2012
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Leading Through Connections: CEOs now
see technology change as most critical
46 Source, IBM Leading Through Connections , 2012
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Leadership Competencies Journey
47 Source: Kelner and Patrick, 2010
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Balancing core identity with envisioned future
Core Identity:
Purpose, enshrined
Values, Business
Doctrine, Myths and
Cultural Norms
Envisioned Future:
Defined and Inspiring
Vision, Robust
Strategic Plan for its
Achievement
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The Strategy Reality Gaps
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Decision
Making: Strategy & Goals
Execution: Results
Planning
Communicatio
n
4th Gap
Desired and Actual
Actions of People, which
directly leads to the Gap
between Desired Goals
and Actual Results
1th Gap
Imperfect Information
and/or Imperfect decision
Making Process
2th Gap
Imperfect Information
and/or Imperfect
Planning Process
3th Gap
Imperfect
dissemination and/or
interpretation of the
plan and intentions
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The ACE Conditions for Success
ABILITY Knowledge and Skill Behavior and Attitude
Intellect
CLARITY Information and Understanding
of Plan, Role and Expectation etc.
ACE
LEADERSHIP Results in
Organizational Performance, Culture and Reputation
ENVIRONMENT Structure,
Systems and Processes, Leaders'
Example etc.
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The Stages of Team Development
Results,
Morale and
Unity
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LEADERSHIP
Accelerates
the process
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Cascading, Iterating and Recurring Processes
to Align Activity and Engage People
1. The appreciation
(Aligned Decision-Making ) Process
2. Detailed Planning Process
3. Briefing Process
4. Execution and Review
Confirm: Higher intent and mission. Dynamic rewiew: progress,
changes to situation and implications
Stakeholder Input
1. The appreciation
(Aligned Decision-Making ) Process
2. Detailed Planning Process
4. Execution and Review
Confirm: Higher intent and mission. Dynamic rewiew: progress,
changes to situation and implications
Stakeholder Input
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The Components of Leadership Ability
Leadership Ability
HOW WHAT THOUGHT
TRAINING
Processes, skills and
knowledge to perform
leadership functions
Consistent process-
based training builds
organization capacity;
and enables rapid
cascade of aligned
thought and action
Behaviour and attitude
to display appropriate
leadership style
DEVELOPMENT
Flexibility develops
when task, role, process,
own impact, motivation
and ‘drivers’ are
understood
‘Level of work’: intellect
and ‘time horizon’ to
match ‘complexity’ in
role
ASSIGNMENTS
Maturation over time;
accelerated by ‘stretch’
and mentoring
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Leadership Style Quadrants
PURPOSEFUL
CONSIDERATE
INSPIRATIONAL
ORGANIZED
Strategic Leadership Purpose, Values, Vision, Meaning and Belief, Step Change
Tactical Leadership Monitor important detail, incremental improvement
Co
llab
ora
tive
B
ring
ou
t the
be
st in p
eo
ple
D
ire
cti
ve
C
lea
r, f
irm
, o
ve
rco
me
in
ert
ia
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Leadership Style Quadrants in detail
PURPOSEFUL
Sets clear aim and intent
Readily asks the ‘why’ question
Has past, present and future orientation
Is a catalyst or trigger for change
Values competence (especially intellectual competence)
Challenges norms, anticipates and removes obstacles
Focuses on inventing more than improving
Makes sure results are effective
Can be decisive and take risks
INSPIRATIONAL
Leads by example – ‘signal actions’
Readily asks the ‘what if’ or ‘ why’ question
Has largely future orientation
Champions the team
Values making a difference
Builds networks, shows insight and credits others
Communicates with enthusiasm
Focuses on helping people grow
Ensures results are in line with values
ORGANIZED
Disciplined and efficient approach
Readily asks the ‘what’ question
Has largely a past or present orientation
Clear objectives, procedures and measures
Values logic and physical competence
Challenges illogical thought
Is productive
Focuses on continuous improvement
Takes responsibility for results
CONSIDERATE
Shows concern for individuals ‘ welfare
Readily asks the ‘who’ question
Has largely a past or present orientation
Builds friendships with team members
Values the individual
Is quick to praise, thank and reward
Genuinely interested in others
Focuses on listening and on sharing information
Ensures that results help people
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Network Organizations Fare Better
in Sustained Crisis
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Organization 1 Organization 2
Hierarchical Networked
Centralized leadership Distributed leadership
Tightly coupled (greater
interdependence among parts)
Loosely coupled (less
interdependence)
Concentrated workforce Dispersed workforce
Specialists Cross – trained – generalists
Policy and procedure driven Guided by simple yet flexible
rules
Source: World Economic Forum
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The Hierarchy of “Complexity”
TIME-HORIZON, COMPLEXITY, RESPONSIBILITY, IMPACT
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Aligning complex organizational activity
to a clear aim and purpose
TIME HORIZON, COMPLEXITY, RESPONSIBILITY, IMPACT
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