The planning tool will provide strategic information to define the most suitable area, operation modes and stop locations to help simulate a DRT service operation.
The dashboard will help Public Transport Authorities and Transport Operators to assess multiple DRT services.
The business tool helps to define if the implementation of DRT services will be profitable.
The aim of MultiDepart planning tool is to assist transit agencies, local public transport authorities and municipalities in the design, operation and management of Demand Responsive Transit services.The Planning tool consists of three levels each of which entails a different degree of complexity, both in the input and in the output data. In the first level, low granularity of input data is needed thus the results have a certain level of uncertainty. The input data for the second level of the planning tool include data driven information from the examined area providing detailed information for the scenarios tested. The third level implements the enhanced transport simulation framework for DRT services.
The objective of this dashboard is to gather the data or connect to the provider’s database, visualize them, and allow the responsible authorities to monitor them and make informed decisions related to their DRT service.
Moreover, in the case of different DRT services implemented under the same Public Authority, by different Technology providers, this tool would allow for a comparison between the DRT services.
The following picture shows how the dashboards look like in the tool. It was developed with Quicksight – an Amazon Web Service tool.
Level 1 and 2 of the planning tool are available as a web service hosted in CERTH servers while Level 3 is available in the Aimsun Next software environment.
More specifically:
DRT stops in the examined DRT service area in the city of Thessaloniki
The dashboard will help Public Transport Authorities and Transport Operators to assess multiple DRT services. The dashboard visualizes a list of representative KPIs that allow to understand the performance of the DRT services.
The objective of this dashboard is to gather the data or connect to the provider’s database, visualize them, and allow the responsible authorities to monitor them and make informed decisions related to their DRT service.
Moreover, in the case of different DRT services implemented under the same Public Authority, by different Technology providers, this tool would allow for a comparison between the DRT services.
The following picture shows how the dashboards look like in the tool. It was developed with Quicksight – an Amazon Web Service tool.
KPIs
The main objective is to monitor the performance of the DRT service with the following KPIs:
Business Model
A start-up will be created for the commercialization of the tool. The start-up, KMF VENTURES, will have as its main product the DRT Monitoring tool. The main objective is to identify potential users of the tool and offer its services. Potential users can be Public Authorities, Transport Operators and/or Technology Providers.-
The business tool will help the different cities/markets to define if the implementation of the DRT solution will be profitable for them. In order to do so, it will include a study/report about different categories that will be positively affected by the implementation of the DRT solution, as well as a financial analysis tool to estimate the profitability of the new service.
Screenshot below shows the drivers that will be included for each of the categories previously determined.
For example, in order to evaluate congestion, the following drivers have been considered:
Through this exercise, we can determine in a qualitative way why DRT could be positive to favor the different categories included in the study (inequality, congestion, pollution…)
After analyzing the drivers that will be key for DRT mobility in each of the categories, we will offer a quantitative justification for the implementation of the DRT system. To do so, we will prepare the tool that will allow in the future getting into the numbers, defining more specifically the fees to be charged, indirect revenues or savings, among others:
With the information provided in the previous table, we will be able to calculate the free cash flows that could be obtained when implementing the DRT system in the different cities. It will vary depending on the size and specifications of the city:
As a result of this exercise, we will be able to obtain the discounted cash flow and the payback years of the investment.