Developing Resiliency Efficiently and Effectively With Smart City Technology
Monday, August 30, 2021: 2:00 PM - 2:50 PM
Speaker(s)
Submitter On The Behalf Of Others (Primary Contact)
Description
As cities and communities work to recover from historic adversities, it is time to rethink how we live, work, and consume. Using technology to become more sustainable, fiscally responsible, and less wasteful is imperative going forward. Resilient cities will be those that efficiently and successfully implement technologies that help transition current practices to ones capable of a renewed or reimagined push towards resilience. Having worked with many cities across the country, presenters are acutely aware of the operational pain-points and cost challenges being faced. Solutions must be designed to address the specific challenges of municipal fleets and help them uncover taxpayer savings and more sustainable solutions. These solutions must deliver on the goals commonly outlined by city partners. They must be customizable and adaptable utilizing the latest technology like machine learning and artificial intelligence that generates insights and achieve improvements in key operational areas. If these technologies can be used to optimize the many vehicles delivering food, it can be used to optimize a fleet of vehicles on our city streets and gather valuable data in the process. A garbage truck can become a part of this larger technology and data-driven solution. The garbage truck effectively collects waste, but there are more than four million miles of roadways across the US and a number of problems exist. Issues like snow and ice, potholes, abandoned houses and storefronts, buildings covered in graffiti, and damaged street signs all create issues for our communities. Harnessing technology can proactively deal with these issues and create better, safer, and cleaner streets without adding more personnel to government budgets and more equipment to our already congested streets. By equipping existing government fleets with the right technology, it transforms a city service model from reactive to proactive, making our technology work harder and build city resiliency.
Track(s)
Methodology
Given the 20-minute presentation length and “Ted Talk” format, I will utilize specific case studies that demonstrate how cities have made the transition to become smarter, more sustainable, and resilient. I will quickly dive into the following phases: evaluation, implementation, and post-implementation of smart systems. Through these real-life use cases, I will discuss both the successes and challenges faced and the hurdles that must be overcome in order to successfully utilize advanced technologies, including artificial intelligence and machine learning, in this way.
I also plan to use a very limited number of slides to share important points and statistics that are material to making my points and driving home the specified learning objectives.
Additional Info
Learning Objective 3:
Understand how they could employ these advanced technologies in an effective, efficient, and sustainable way with tight budgets during historic adversities, such as the COVID-19 public health emergency.
Learning Objective 1:
Evaluate the current state of resiliency in their city and identify deficiencies.
Secondary Track(s):
Fleet Management,Solid Waste Management
Learning Objective 2:
Understand the role that advanced technologies like machine learning and artificial intelligence play in developing resiliency and sustainability.
Session Evaluation:
https://www.surveymonkey.com/r/GSPSJT8