Page 191 - Big Data Analytics for Connected Vehicles and Smart Cities

172 Big Data Analytics for Connected Vehicles and Smart Cities

Use Case Example 17: MaaS

Smart City Service: User-Focused Mobility

• Objectives: Optimization of transportation services to maximize mobil-
ity across the city.
• Expected outcome of analyses: Providing more flexible choices for mo-
bility within an urban area including information regarding currently
available options for mobility from both the public and private sector.
• Success criteria: Raised awareness of transportation service options and
improved decision-making with respect to transportation choices.

• Source data examples: Origin and destination data and transportation
service option data including availability, cost, and reliability.
• Business benefits: Increased mobility; transportation service cost reduc-
tion; enhanced user experience; and improved transportation service
reliability.
• Challenges: Establishment of a mobility as a service portfolio; access to
origin and destination data; and access to transportation service delivery
data.
• Analytics that can be applied: Percentage of utilization of each transpor-
tation service, cost of transportation, travel time, travel time reliability.