Dynamic scheduling and incentlvizing strategies for sustainable transport

Responsible beneficiary University of Groningen, Faculty of Economics and Business

Relation to project objectlve(s) 

-Broaden the scope of the existing information architecture

-Develop a business case for dynamic scheduling and incentivizing strategies, linking knowledge institutes with business and regional government to a powerful cluster of shared knowledge, innovative tools and best practice on sustainable transport

Cooperation between beneficiaries

WP leader University of Groningen, FEB. will work on designing models and strategies and show proof of concept to enable dynamic scheduling and pricing oftransportfeatures. MMM Group will study market needs and derive a business case. All results will be input for WP 2, 3 and 5. This will be done together with the partners, in particular transport companies and SMEs in the regions to ensure the services will be used also after the completion of the project.

1. Activity Work Package Dynamic sche dullng and lncenlivlzlng strategies for sustainable transport

Studying market needs to enable integration of flows of freight or passengers


List of objectives, requirements, constraints, parameters and decision variables

I m pacts

The outcomes of the study will be used in desigining models and strategies as planned for in activities 2-4 and in the business case as part of activity 5.

2. Activity Work Package Dynamic scheduling and incentivizing strategies for sustainable transport

A potential mechanism to achieve a sustainable balance between transport demand and supply is to investigate dynamic pricing strategies which can be designed and implemented in order to influence consumers' demand towards time slots that are more sustainable and less resource intensive.ln this context understanding the price sensitivity of customers to a delayed pick-up and/or arrival is key to dynamic pricing of transport features.


Get an overview of customer sensitivity to a delayed pick-up and/or arrival

I m pacts

Involve customer wishes in the modelling process. Results will serve as an input for activity 3

3. Activity Work Package Dynam le scheduling and I nee ntlvlzlng strategies for sustainable transport

Static routing of vehicles with fixed stop locations and fixed pick-up times may no longer be the best answer to situations with inherently low, but also unpredictable demand. Important information for dynamic scheduling of public transport includes real-time information of consumers on their preferences for transport routes and times. Secondly, transport companies need to input information on vehicle and driver availability, geographical positioning and capacity. Scheduling techniques match the information on supply and demand to construct routes and define pick-up and delivery times at specific locations along the routes. Negotiation mechanisms must be built into these systems to appropriately balance between supply (e.g., route efficiency) and demand (e.g., perceived customer service level), while staying within desired boundaries ofsocietal relevance, sustainability and financial possibilities. A potential mechanism to achieve this goal is to investigate dynamic pricing strategies which can be designed and implemented in order to influence consumers' demand towards time slots (using the input of activity 2) that are more sustainable and less resource intensive.


Intelligent planning and control tools to increase service and efficiency by dynamically matching public or private freight transport demand and supply lncentivizing mechanisms for service features in public and private freight transport

I m pacts

Design of new planning and control tools including incentivizing mechanisms to be tested in activity 4.

4. Activity Package Dynam le scheduling and incentivizing strategies for sustainable transport

Get a proof of concept before starting implementation and pilots. For this reason we select a specific case in the area of dynamically planning private freight flows. Namely, we study the efficient combination of transportation of health care users (transport to day care or to a doctor's appointment, for example) with medicine prescription renewals or other medical supplies. With a proper coordination of networks, medicines for a patient will be ready for pickup by the patient at the hospital or at the day care facility when the patient goes there for an appointment. For this to come true, prescription quantities of medicine may need to be adjusted based on expected date of the next doctor's appointment, or medicine may need to be distributed ahead of schedule. With this coordination, patients no longer have to travel for picking up medicines and/or medicines no longer have to be delivered to the patients home.


Proof of concept for dynamically planning private freight transport models to enable timing of medicine prescription fulfillment to the patients' visits to doctors and other medical sites where prescriptions can be picked up

I m pacts

We test the applicability of the developed tools in the context of freight transport. With this proof of co nee pt imp le mentation in the IT architecture can start (WP3) and the models can be part of the pilots (WP 5).

5 Activity Package Dynam le scheduling and lncentlvizlng strate gles for sustainable transport

Derive a business case by exploring different service deployment models through the SMINT platform and the role of incentives to generate tailored services. Different cases will be investigated in different countries showing more and less mature adoption of ICT-based transport services between cities and villages. For example, in Scotland smaller towns around Edinburgh (i.e., remote areas and villages close to Inverness, Aberdeen and perhaps these two cities too) will be involved.


Derive a Business case to show potential gains of integrating flows of passengers or flows of freight by studying cases in d iffe rent countries

I m pacts

Show the added value ofthe different models and strategies designed. Outcomes will serve as inputforworkpackages 5

© Jan Frick 2014