With before-and-after analysis, Big Data can show which solutions work and which don’t.
Analyzing cut-through traffic restrictions is difficult because volume data is expensive and time-consuming to collect. Surveys suffer from small sample sizes and stated preference discrepancies.
In this case study you’ll learn:
- How Big Data collected actual point-to-point trip information
- Where cut-through was causing congestion
- What analysis proved impact of restrictions
- Why constituents supported the results
