Page 187 - Big Data Analytics for Connected Vehicles and Smart Cities

168 Big Data Analytics for Connected Vehicles and Smart Cities Transportation Use Cases 169

Use Case Example 10: Partnership Management

Smart City Service: Stragic Business Models and Partnering

• Objectives: To support the establishment and effective management of
partnerships between the public and private sector with respect to smart
city initiatives.
• Expected outcome of analyses: More effective public-private partnership
management.
• Success criteria: Maximum leverage of private sector resources and
achievement of public policy objectives with optimized investment.
• Source data examples: Partnership objectives data; costs related to the
partnership; rewards related to the partnership; and transportation ser-
vice delivery data.
• Business benefits: More effective partnerships; more sustainable partner-
ships; better leverage of private sector resources to achieve public sector
objectives; and the development of sustainable new business enterprises
within the smart city environment.
• Challenges: Collecting data on public-private partnerships; establishing
objectives of public-private partnerships; and determining revenue data
for public-private partnerships.

• Analytics that can be applied: Partnership efficiency, private sector invest-
ment levels.

Use Case Example 11: Transportation Governance System

Smart City Service: Transportation Governance

• Objectives: To support more effective transportation governance by pro-
viding the means to analyze the likely impacts and effects of various
governance structures and to provide insight into the relationship be-
tween the delivery of smart city services and the required organization
for success.
• Expected outcome of analyses: Governance structures are carefully aligned
to the needs of transportation service delivery in a smart city.
• Success criteria: More effective governance related to transportation ser-
vice delivery in urban areas.