When it comes to operating a successful transit agency, it is essential to manage critical metrics for performance. Metrics such as customer satisfaction data, safety and maintenance data, operational efficiency, and better resource management are all tell-tale measures to the health and success of an organization. Finding the best way to maintain healthy analytics can be tough, but by leveraging modern demand response software many agencies, especially mid to large size agencies, have been able to not only maintain but improve critical transit operations metrics. Before you take the first step to improving analytics it is vitally important to understand the nuances and signs that will help identify areas of improvement or target areas that can help create more success. This article outlines some examples of finding areas of improvement and how modern software can improve critical transit metrics.
Identifying Areas of Improvement
Finding areas to improve is not necessarily finding bad metrics. Targeting specific areas to improve in order to surpass competitors or make your best metrics even stronger are always something to look for. The following are a few examples of what to look for when evaluating transit metrics.
- An immense amount of manual entry
- Complicated spreadsheets for scheduling
- 2-way radios for dispatching
- Long reporting times
- Inaccurate reports
- Poor on-time performance
- Poor driver tracking
- Competitor downfalls for competitive advantage
Poor on-time performance and unreliable driver tracking can create problems with operations. Manual entry, archaic process, and administrative burdens can hurt an agency by causing operational inefficiencies. While these are areas to improve, looking for competitor downfalls in similar aspects can create an opportunity for competitive advantages.
Improving Demand Response Metrics
After identifying the metrics that need to be improved, it's time to implement a solution to help improve or fix these metrics. Demand response software offers the opportunity to create automation for many administrative processes that eliminates manual entry, and archaic process issues. Instead of having to put pen to paper and manage scheduling and dispatching with extensive spreadsheets and 2-way radios, the entire system runs on an agile web-based platform. Mid and large size agencies will have the opportunity to handle the large volume of scheduling and demand response trips that they face with more efficiency and accuracy. Below is a list of some key examples of how demand response software can improve transit metrics.
- Continuously updated schedule optimization that responds immediately
- A reporting system that enables better forecasting and planning
- Fully automated processes that save time and effort
- More time to focus on core operational activity
- Improved driver tracking and trip data reporting
Having better data can make a major difference when looking at critical transit metrics and understanding how to make changes to create more efficiency and productivity, demand response software can help agencies of any size to handle a variety of rider demands. Applications within the platform give agencies a competitive edge with customer communication, scheduling and incident reporting. Better driver tracking and trip data help with future planning, driver improvement, and can have a direct impact on on-time performance.
For large agencies that manage multiple municipalities or services areas, demand response software offers the agility and accuracy needed for coordination efforts between managers and from location to location. To learn more about how demand response software can help with your coordination efforts, download the Web Intelligence to Enhance Coordination eBook today.