Dynamic adaptive policymaking for the sustainablecity (Walker, Marchau)

Question 1

Benefits of Automated taxis

Answer 1

1. economic: significant reduction in traffic accidents, decreased traffic congestion, savings in parking cost and land use
2. environmental: reduce emissions and fuel consumption
3. convenience/comfort in comparison to own car

Question 2

challenges/downsides to automated taxi

Answer 2

1. increased vehicle miles traveled
2. labor issues (unemployment of taxi drivers)
3. uncertainties and regulatory issues

Question 3

different levels of uncertainties

Answer 3

1. sensitivity analysis of transport model parameters, impact of small perturbations
2. can be described statistically and often involves future uncertainties using single forecasts with confidence intervals or multiple scenarios
   3.4. long term, essentially unknowable and unpredictable. scenario-based approaches are insufficient –> Automated taxi

Question 4

How to navigate uncertainties of Automated taxis

Answer 4

DAP (dynamic adaptive policymaking). does not rely on unreliable forecasts and uncertain models but allows policymakers to create policies that respond to changes over time and incorporate learning.

Question 5

Two phases of DAP

Answer 5

1. Design: objectives, constraints, and available policy options are specified and basic policy is assembled.
2. implementation: monitoring system. trigger events may lead to defensive or corrective actions to adjust the policy

Question 6

Steps of DAP

Answer 6

1. setting the stage
2. assembling a basic policy
3. increasing the robustness of the basic policy
4. setting up the monitoring system
5. preparing the trigger responses