Page 189 - Big Data Analytics for Connected Vehicles and Smart Cities

170 Big Data Analytics for Connected Vehicles and Smart Cities Transportation Use Cases 171

Use Case Example 13: Travel Value Analysis

Smart City Service: Travel Information

• Objectives: The determination of traveler value for each mode and route,
taking into account total trip time, trip time reliability, and cost of travel
as a proportion of household income.
• Expected outcome of analyses: Ensuring equity for all travelers and opti-
mizing transportation service delivery across the city.
• Success criteria: Improved social equity; improved transportation servic-
es; and better balancing of travel value across the city.
• Source data examples: Origin and destination data; trip travel time data
trip cost data; and household income data.
• Business benefits: Better traveler decisions; improved equity; and better
matching of transportation services to user needs.
• Challenges: Collecting traveler satisfaction and perception data and col-
lecting behavior change data.
• Analytics that can be applied: Traveler satisfaction index, perception ana-
lytics, behavioral change analytics.

Use Case Example 14: Accessibility Index

Smart City Service: Urban Analytics

• Objectives: Determination of the ease or difficulty of travel from residen-
tial zones to job opportunities, healthcare, and education opportunities.
• Expected outcome of analyses: The configuration of transportation ser-
vices to maximize accessibility to jobs, education, and healthcare.
• Success criteria: Improved accessibility to jobs, healthcare, and educa-
tion.
• Source data examples: Origin and destination data; residential zone data;
jobs on data; healthcare zone data; and education zone data.

• Business benefits: Enhanced accessibility achieved by better matching
transportation needs to transportation service provision.
• Challenges: Access to job, healthcare, and education opportunity data;
and access to residential zone demographics data.
• Analytics that can be applied: Job accessibility, healthcare accessibility,
education accessibility, residential zone demographics.