Page 248 - Big Data Analytics for Connected Vehicles and Smart Cities

228 Big Data Analytics for Connected Vehicles and Smart Cities Benefit and Cost Estimation For Smart City Transportation Services 229

Table 11.2 (continued)
Services

Objectives Asset and maintenance management Connected vehicle Connected, involved citizens Integrated electronic payment Intelligent sensor-based infrastructure Low cost efficient, secure and resilient ICT Smart grid, roadway electrification and electric vehicle Smart land use Strategic business models and partneri
Enhanced user
experience
Understanding current        
user experience
Developing strategies and     
techniques for optimizing
user experience
Delivering the highest        
value for money for all
transportation customers
Identifying customer       
perception of current
transportation service
Assessing the effect    
of transportation as a
service on the overall
transportation system

Establish Cost Units for Services
As described in Chapter 5, the services will evolve over time and space. In this
case, space represents the geographic extent or the proportion of the city popu-
lation that is exposed to the services at any given time.
Establish Benefit Units for Services
In a similar manner to the cost units described above benefit units can be de-
termined for each service. The benefit can be related to space, time, and quality
of service.