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THE TOP 100 CITIES PRIMED FOR
SMART CITY INNOVATION
Identifying U.S. Urban Mobility Leaders
For Innovation Opportunities
7 March 2017
• Initial List: 285
largest (based on
population size)
U.S. incorporated
communities
• Data Source: 2010
U.S. Census
• 10 criteria to
represent smart city
characteristics
• Cities score 1 point
for each criteria met
Our Approach
CATEGORY VARIABLE SCORING	CRITERIA
Population
Characteristics
Size > 500,000 residents
Growth > 2% projected growth
Density > 2 million in Core Based
Statistical Areas
Local Spending
Local transportation+transit
spending amount ($)
> $5 billion in local
transportation spending for
entire state
Local transportation+transit
spending commitment (%)
> 5% local transportation
spending of total spending
Regional involvement Top 25 spending Metropolitan
Planning Organizations (MPOs)
Transportation
Interest
Complexity > 1 mode of transit reporting to
National Transit Database
Transit ridership > 2 million unlinked passenger
trips
Smart City Interest
Leadership Employs a CIO (or similar
position)
Activity Applied to USDOT Smart Cities
Challenge
Smart City Criteria by Category
The Top 100 Cities Primed for Smart City Innovation, 2017
SCORE COUNT	OF	
CITIES
PERCENT	OF	
CITIES
9 2 1%
8 4 1%
7 18 6%
6 14 5%
5 22 8%
4 43 15%
3 67 24%
2 71 25%
1 40 14%
0 4 1%
Total 285 100%
• 103 Smart Cities identified*
• Score of 4 or more = Smart City
• 36% of cities analyzed classified
as Smart Cities
• No city analyzed scored a 10
• Score of 9: Chicago and New
York City
• Score of 8: Boston, Denver, Los
Angeles, Riverside
• Geographic Breakdown:
• West: 40%
• South: 33%
• Midwest: 17%
• Northeast: 11%
Analysis & Findings
The Top 100 Cities Primed for Smart City Innovation, 2017
Number of Cities by Smart City Score
*Note that some scores resulted in a tie, leaving 103
cities classified as smart cities in our Top 100 list.
• In 2013 and 2014, local
governments in the 285
cities spent a total of $1.4
trillion annually.
• Largest spending category is
Education at 41%.
• Transportation and transit
project spending at 9%
($137.6B).
• Smart mobility projects may
be funded through other
sectors (e.g. government
administration, environment,
public safety)
Smart City & Mobility Market
The Top 100 Cities Primed for Smart City Innovation, 2017
Local government spending by sector
(source: 2013 Census Annual Survey of State and Local Finance)
CHARACTERISTIC U.S.	(2010) SMART	CITIES	(2010)
Median Household Income $49,445 $48,542
Average Commute Time (mins) 25.9 24.3
Median Age 37 33
Percent Local Transportation + Transit Spending
(2013)
12% 24%
Percent Personal Vehicle 86% 82%
Percent Public Transit 5% 8%
Percent Active 3% 5%
Percent Work from Home 4% 4%
Smart City Profile
The Top 100 Cities Primed for Smart City Innovation, 2017
Cities primed for Smart City innovation are:
• Younger
• Driving less in favor of other modes of transportation
• Higher transportation expenditures
• Note: transportation spending can vary significantly year to year due to
external factors such as weather, grant funds, and programmed projects
Implication of Results
The Top 100 Cities Primed for Smart City Innovation, 2017
Millennials…
• Want reliable
systems
• Travel using multiple
modes
• Choose cost-savings
& convenience
Multi-Modal…
• Equitable mode
choices
• Real-time data for
users & operators
• Infrastructure needs
Regional Clusters…
• Intermodal integration
• Economic
development
opportunity
• Emerging
megaregions
Source: APTA (2013) “Millennials & Mobility:
Understanding the Millennial Mindset”
INFO@CIVICCONNECT.COM
If you would like more information on the cities identified in
this smart city analysis, please contact us at
www.civicconnect.com
You can access the complete white paper at:
civicconnect.com/resources

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The Top 100 Cities Primed for Smart City Innovation

  • 1. THE TOP 100 CITIES PRIMED FOR SMART CITY INNOVATION Identifying U.S. Urban Mobility Leaders For Innovation Opportunities 7 March 2017
  • 2. • Initial List: 285 largest (based on population size) U.S. incorporated communities • Data Source: 2010 U.S. Census • 10 criteria to represent smart city characteristics • Cities score 1 point for each criteria met Our Approach CATEGORY VARIABLE SCORING CRITERIA Population Characteristics Size > 500,000 residents Growth > 2% projected growth Density > 2 million in Core Based Statistical Areas Local Spending Local transportation+transit spending amount ($) > $5 billion in local transportation spending for entire state Local transportation+transit spending commitment (%) > 5% local transportation spending of total spending Regional involvement Top 25 spending Metropolitan Planning Organizations (MPOs) Transportation Interest Complexity > 1 mode of transit reporting to National Transit Database Transit ridership > 2 million unlinked passenger trips Smart City Interest Leadership Employs a CIO (or similar position) Activity Applied to USDOT Smart Cities Challenge Smart City Criteria by Category The Top 100 Cities Primed for Smart City Innovation, 2017
  • 3. SCORE COUNT OF CITIES PERCENT OF CITIES 9 2 1% 8 4 1% 7 18 6% 6 14 5% 5 22 8% 4 43 15% 3 67 24% 2 71 25% 1 40 14% 0 4 1% Total 285 100% • 103 Smart Cities identified* • Score of 4 or more = Smart City • 36% of cities analyzed classified as Smart Cities • No city analyzed scored a 10 • Score of 9: Chicago and New York City • Score of 8: Boston, Denver, Los Angeles, Riverside • Geographic Breakdown: • West: 40% • South: 33% • Midwest: 17% • Northeast: 11% Analysis & Findings The Top 100 Cities Primed for Smart City Innovation, 2017 Number of Cities by Smart City Score *Note that some scores resulted in a tie, leaving 103 cities classified as smart cities in our Top 100 list.
  • 4. • In 2013 and 2014, local governments in the 285 cities spent a total of $1.4 trillion annually. • Largest spending category is Education at 41%. • Transportation and transit project spending at 9% ($137.6B). • Smart mobility projects may be funded through other sectors (e.g. government administration, environment, public safety) Smart City & Mobility Market The Top 100 Cities Primed for Smart City Innovation, 2017 Local government spending by sector (source: 2013 Census Annual Survey of State and Local Finance)
  • 5. CHARACTERISTIC U.S. (2010) SMART CITIES (2010) Median Household Income $49,445 $48,542 Average Commute Time (mins) 25.9 24.3 Median Age 37 33 Percent Local Transportation + Transit Spending (2013) 12% 24% Percent Personal Vehicle 86% 82% Percent Public Transit 5% 8% Percent Active 3% 5% Percent Work from Home 4% 4% Smart City Profile The Top 100 Cities Primed for Smart City Innovation, 2017 Cities primed for Smart City innovation are: • Younger • Driving less in favor of other modes of transportation • Higher transportation expenditures • Note: transportation spending can vary significantly year to year due to external factors such as weather, grant funds, and programmed projects
  • 6. Implication of Results The Top 100 Cities Primed for Smart City Innovation, 2017 Millennials… • Want reliable systems • Travel using multiple modes • Choose cost-savings & convenience Multi-Modal… • Equitable mode choices • Real-time data for users & operators • Infrastructure needs Regional Clusters… • Intermodal integration • Economic development opportunity • Emerging megaregions Source: APTA (2013) “Millennials & Mobility: Understanding the Millennial Mindset”
  • 7. INFO@CIVICCONNECT.COM If you would like more information on the cities identified in this smart city analysis, please contact us at www.civicconnect.com You can access the complete white paper at: civicconnect.com/resources