Hype vs Reality in Smart City Development...

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Hype vs Reality in Smart City Development Projects

Supraja Sudharsan

PhD Student

The Sam Nunn School of International Affairs

For Science Technology and Innovation Policy Program

June - Aug 2018

• Spending on technologies for smart cities estimated to go from an estimated $80 billion in 2018 to $135 billion in 2020 worldwide

• Regions with highest estimated spending are the United States and China

Source: International Data Corporation, 2018

Science Technology and Innovation Policy, June - Aug 2018

What is a “Smart” City?

In general, a city that uses data and technology to control and improve the living environment.

Science Technology and Innovation Policy, June - Aug 2018

Smart City Projects

Data Layer

Data Collection Data StorageData Aggregation

and AnalysisData Use

Technology and Infrastructure Layer (Eg: Sensors, Connectivity, Data centers, Data platform)

Adapted from: Sudharsan et al. (2018); Heppelmann and Porter (2014); Mayangsari and Novani (2015, p.320).

City Services

Science Technology and Innovation Policy, June - Aug 2018

Research Approach and Methodology

Approach• Comparative study of smart city

projects in Atlanta, GA, Austin, TX and Pittsburgh, PA.

Methodology • Collected over 200 smart cities

projects.

• Case studies of Atlanta, Austin, and Pittsburgh smart cities’ plans, projects and their management.

Findings

• Plans

• Projects and Partnerships

• Organizational process

Science Technology and Innovation Policy, June - Aug 2018

City of Atlanta(2015)

• Input-oriented

• Utilize data for decision-making

• Wide focus on issue areas

City of Austin(2016)

• Process-oriented

• Efficiency of problem-solving

• Wide focus on issue areas

City of Pittsburgh (2014)

• Outcome-oriented

• Leader in transportation innovation

• Targeted issue area

Science Technology and Innovation Policy, June - Aug 2018

Smart City Plans

Analysis: City of Atlanta Projects

Utilize data for decision-making

27

1316

4 5

Mobility Public safety OperationalEfficiency

Publicengagement

Environmental

• Greater number of mobility projects.

• Began with IOT-oriented projects initially and later included projects that made use of existing data.

• Smart street lights, acoustic sensor in high crime areas.

Science Technology and Innovation Policy, June - Aug 2018

Science Technology and Innovation Policy, June - Aug 2018

Analysis: City of Atlanta Partnerships

Analysis: City of Atlanta Organizational Process

Originating department

Executive Governance Board

Information Management

Resources, funding, vendor selection and management

Science Technology and Innovation Policy, June - Aug 2018

Analysis: City of Austin Projects

26

39

28 6 7

Mobility Internal Safety Public andbusiness

engagement

Energy Environment

• Greater range of projects across IOT deployment, development of infrastructure, and development of capabilities across data processes.

• First piloted projects on mobility.

• First prioritized projects included open data and traffic signal timing.

Improving efficiency in providing city services

Science Technology and Innovation Policy, June - Aug 2018

Analysis: City of Austin Partnerships

Science Technology and Innovation Policy, June - Aug 2018

Information Management

Office of Design and Delivery

Designers Developers City Departments

Science Technology and Innovation Policy, June - Aug 2018

Analysis: City of Austin Organizational Process

Type of projects Transportation and Mobility (9)

Initiated Through $10.9 million DoT grant

Partnerships Carnegie Mellon University (CMU) + Consortium

Organizational support Data support offered through a grant from Richard King Mellon Foundation + support from Center for Urban and Social Research, University of Pittsburgh

Housed under Department of Innovation and Performance (City’s technology department)

• First piloted projects on mobility

• First prioritized projects included open data and pilot projects in collaboration with CMU, city departments and others.

Become a leader in transportation innovation

Science Technology and Innovation Policy, June - Aug 2018

Analysis: City of Pittsburgh Projects

Innovation and Performance

PGH Lab

Mayor’s Office

City Departments Internal developers

Science Technology and Innovation Policy, June - Aug 2018

Analysis: City of Pittsburgh Organizational Process

Conclusion

• City’s Smart City Plan influences the initiatives that the City pursues.

• Focus on mobility, open data as initial projects.

• Cities need to play a role in shaping the support network.

• Cities need to develop their capacity to advance smart city initiatives across departments.

Science Technology and Innovation Policy, June - Aug 2018

Questions?ssudharsan3@gatech.edu