Page 188 - Big Data Analytics for Connected Vehicles and Smart Cities

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

• Source data examples: Transportation cost data; transportation benefits
data; transportation supply data; transportation demand data; transpor-
tation coordination data; and data storage cost data.
• Business benefits: Better more effective governance; lower cost of gover-
nance; and better support for transportation service delivery in a smart
city.
• Challenges: Developing a catalog of suitable government structures; mea-
suring governance efficiency; and collecting supply and demand data.
• Analytics that can be applied: Efficiency of government structures, ef-
fectiveness of governance strategies, cost of governance as a proportion
of total budge.

Use Case Example 12: Customer Satisfaction and Travel Response
Smart City Service: Transportation Management

• Objectives: To support a comprehensive approach to transportation
management that includes insight into customer satisfaction and travel
response as well as technical parameters related to transportation service
delivery performance.
• Expected outcome of analyses: Transportation service delivery strategies
that take account of user perception and satisfaction as well as technical
performance parameters.
• Success criteria: Higher customer satisfaction with respect to transporta-
tion services and improved performance management that takes account
of user perception in addition to actual performance measurements.
• Source data examples: Customer satisfaction data from smart app; actual
transportation service delivery performance data; mobility data; jobs
data; and travel time data.
• Business benefits: Enhanced user experience and improved performance
management.
• Challenges: Collecting user satisfaction data,; collecting mobility data;
and collecting accessibility data.
• Analytics that can be applied: User satisfaction index, mobility accessibili-
ity, model select.