Improve mobility by driving behavior change using gamification

Government:

City of Carlsbad

Category:

Mobility

Budget:

Budget Exists

Procurement Method:

Below RFP Threshold
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Application Period:

October 16, 2019 - December 1, 2019

Q&A Period:

October 16, 2019 - November 5, 2019

Challenge

The City of Carlsbad is seeking a innovative solution to improve mobility and drive behavior change for our residents using gamification.

Background

Reducing traffic and improving mobility is the number one issue that our residents consistently desire. The City traffic management system is built on 100% of our traffic signals being centrally connected to a single management center. Using cameras, the data regarding traffic flows into the management center and city staff program the system to achieve various mobility goals. The City has also begun to use machine-learning to create adaptive corridors that respond, in real-time, to the traffic conditions and optimize the system to achieve mobility goals.

The other factor in addressing mobility are the users. This includes pedestrians, cyclists, mass-transit and drivers. The City is interested in seeing if gamification can be used to change user behavior in a way that compliments the traffic management efforts. The goal would be to improve mobility by incentivizing users to behave in a way that meets the goals of the City. 

Requirements & Outcome

A solution that addresses this challenge may do one or more of the following:
  • Integrate with the City Traffic Management System
  • Use data from the Traffic Management System to understand user behavior
  • Recommend innovative ways of connecting with users to spark behavior changes
  • Use incentives, such as tokens, to cause behavior change that meets City goals
  • Use gamification tools to optimize the City transportation system and help users mode-shift
  • Provide a pilot solution that is scalable to the entire city and potentially beyond
  • Consider the regional transportation needs and provide the basis for a regionally scalable solution