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Completed PROJECT GRANT Swedish Research Council

Feasibility study for large-scale on-demand public transport for increased travel

5M kr SEK

Funder Vinnova
Recipient Organization Nobina Sverige Ab
Country Sweden
Start Date Mar 06, 2023
End Date Sep 06, 2023
Duration 184 days
Number of Grantees 1
Roles Principal Investigator
Data Source Swedish Research Council
Grant ID 2023-00041_Vinnova
Grant Description

Purpose and goal:

In this study, we explore how the city of Linköping can implement on-demand transportation on a larger scale. The study will present proposals along with simulations depicting the solution and estimated number of riders. The project´s objectives are as follows: 1. Increase public transportation ridership through improved accessibility.

2. Achieve economic sustainability for public transportation.

3. Facilitate faster implementation and greater effectiveness of large-scale on-demand solutions for public transportation. Expected results and effects:

The study resulted in five scenarios that have been developed as potentially suitable options for the large-scale on demand. The scenarios are as follows: 1) Senior Transportation 2) High Travel Time Ratio Journeys 3) First and Last Mile 4) Nighttime Replacement of Scheduled Routes 5) Combining Scenario 1 and 2.

All of these scenarios have been simulated to understand factors such as the number of passengers and vehicle. Scenario 4 shows the highest potential for high ridership, but scenarios 2 and 3 also demonstrate significant potential for high ridership and efficiency. Approach and implementation:

We have utilized Spare Labs´ simulation tool, "Realize," to simulate the effects of a large-scale implementation. The simulations are based on several data points, such as population, population density, and travel time ratios, but vary depending on the scenario. Furthermore, we make assessments of the adoption rate that each scenario is likely to achieve and the service´s efficiency based on the type of solution.

All scenarios have been simulated using the following parameters, expected ridership, number of veicles, vehicle hours, efficiency, waiting time, pooling rate.

All Grantees

Nobina Sverige Ab

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