• >
  • >
  • >
  • >
  • >
Case Studies > Chicago's Journey to Becoming the Best Cycling City in America with Data-Driven Decisions

Chicago's Journey to Becoming the Best Cycling City in America with Data-Driven Decisions

Customer Company Size
Large Corporate
Region
  • America
Country
  • United States
Product
  • Miovision Scouts
Tech Stack
  • Video-based Data Collection
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Customer Satisfaction
Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Infrastructure as a Service (IaaS)
Applicable Industries
  • Cities & Municipalities
Applicable Functions
  • Facility Management
Use Cases
  • Smart City Operations
Services
  • Data Science Services
  • System Integration
About The Customer
The City of Chicago, under the leadership of Mayor Rahm Emanuel, embarked on a mission to enhance its cycling infrastructure. With a vision to provide bicycle accommodations within a half-mile of every resident, increase bike ways, and boost infrastructure where ridership was high, the city recognized the need for significant changes. Chicago, a bustling metropolis, was witnessing a surge in cycling as a mode of commuting. However, safety concerns among cyclists posed a challenge. The city's Department of Transportation (CDOT) sought to address these issues by collaborating with Fish Transportation Group (FTG) to gather reliable multimodal traffic data. This data-driven approach was crucial for making informed decisions to transform Chicago into a cycling-friendly city.
The Challenge
The City of Chicago aimed to become the best cycling city in America by improving cycling infrastructure. However, traditional data collection methods were insufficient, lacking verifiability, reliability, and coverage. The city needed accurate, actionable data to address safety concerns and make informed decisions about infrastructure improvements.
The Solution
To overcome the limitations of traditional data collection methods, FTG transitioned to using Miovision Scouts, portable data collection units, to gather multimodal traffic data across Chicago. This video-based collection method provided a cost-effective, safer, and more accurate alternative. The Scouts enabled FTG to collect verifiable data from over 500 locations, including 100 in the downtown core, within the city's budget constraints. The rich data collected helped Chicago make data-driven decisions, contributing to the city's progress towards becoming a bike-friendly network. The use of Miovision Scouts played a pivotal role in achieving significant milestones, such as climbing Bicycling Magazine's rankings of top cycling cities in the U.S.
Operational Impact
  • The transition to Miovision Scouts allowed for more accurate and verifiable data collection, addressing the gaps in traditional methods.
  • The data-driven approach enabled Chicago to make informed decisions about cycling infrastructure improvements, enhancing safety and satisfaction among cyclists.
  • The use of video-based data collection was cost-effective and aligned with the city's budget constraints, allowing for extensive data collection across numerous locations.
  • The rich multimodal traffic data collected contributed to Chicago's recognition as a leading cycling city in the United States.
Quantitative Benefit
  • In 2012, Chicago ranked fifth in Bicycling Magazine's list of top cycling cities.
  • By 2014, Chicago had risen to second place.
  • In 2016, Chicago was named the 'Best City in America for Cycling'.

Case Study missing?

Start adding your own!

Register with your work email and create a new case study profile for your business.

Add New Record

Related Case Studies.

Contact us

Let's talk!
* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that AGP may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from AGP.
Submit

Thank you for your message!
We will contact you soon.