Page 284 - Big Data Analytics for Connected Vehicles and Smart Cities

264 Big Data Analytics for Connected Vehicles and Smart Cities Benefit and Cost Estimation For Smart City Transportation Services 265

Table 11.34
Urban Delivery and Logistics Benefit Estimate
Urban Delivery and Efficiency Efficiency
Logistics Benefit Benefit Total
Cost of urban delivery $10,000,000 Cost of emissions per $0.011
and logistics vehicle mile traveled,
private car
Cost of emissions per $0.026
vehicle mile traveled,
urban truck
Total cost of emissions, $91,606,284
private car
Total cost of emissions, $28,968,056
urban truck
Cost of operation per $0.580
mile, private car
Cost of operation per $0.708
mile, urban truck
Total cost of operation, $4,830,149,520
private car
Total cost of operation, $788,822,448
urban truck
Total cost of operation $5,739,546,308
and emissions
Assumed reduction 5% Assumed reduction 5%
Annual benefits $500,000 Annual benefits $286,977,315 $287,477,315

trucks. It is assumed that the service will result in optimized land use and bet-
ter forecasts of transportation demand for each land-use type and that these
together will result in an efficiency gain of approximately 2%.
The transportation management service is assumed to generate benefits in
terms of accident reduction, time spent traveling, and the cost of emissions and
operations. A 2% reduction in each of these costs has been assumed.
Traveler information services are assumed to generate benefits associated
with a reduction in time spent traveling per person per day. Due to better trav-
eler information and decision-quality information provided to travelers at the
right time in the right place, it is assumed that travelers will benefit by a 2%
reduction in time spent traveling overall.
For the urban automation service, it is assumed that a 45% reduction in
accidents will be experienced and the cost of emissions and vehicle operations
for both private cars and urban trucks will decrease by 10%. The higher value
of a 45% reduction in accidents is assumed based on a published study [21].
This study suggested that automation could lead to a 90% reduction in ac-
cidents. However, a midway point of 45% has been assumed to take account