publications

2021

1. TRSC

   Data-Driven Competitor-Aware Positioning in On-Demand Vehicle Rental Networks

   Schroer, K., Ketter, W., Lee, T.Y., Gupta, A., and Kahlen, M.T.

   Transportation Science, 2021

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   We study a novel operational problem that considers vehicle positioning in on-demand rental networks, such as car sharing in the wider context of a competitive market in which users select vehicles based on access. Existing approaches consider networks in isolation; our competitor-aware model takes supply situations of competing networks into account. We combine online machine learning to predict market-level demand and supply with dynamic mixed integer nonlinear programming. For evaluation, we use discrete event simulation based on real-world data from Car2Go and DriveNow. Our model outperforms conventional models that consider the fleet in isolation by a factor of two in terms of profit improvements. In the case we study, the highest theoretical profit improvements of 7.5% are achieved with a dynamic model. Operators of on-demand rental networks can use our model under existing market conditions to build a profitable competitive advantage by optimizing access for consumers without the need for fleet expansion. Model effectiveness increases further in realistic scenarios of fleet expansion and demand growth. Our model accommodates rising demand, defends against competitors’ fleet expansion, and enhances the profitability of own fleet expansions.

   @article{Schroer2021,
     bibtex_show = {true},
     author = {Schroer, K. and Ketter, W. and Lee, T.Y. and Gupta, A. and Kahlen, M.T.},
     doi = {10.1287/trsc.2021.1097},
     issn = {0041-1655},
     journal = {Transportation Science,},
     abbr = {TRSC},
     title = {{Data-Driven Competitor-Aware Positioning in On-Demand Vehicle Rental Networks}},
     html = {http://pubsonline.informs.org/doi/10.1287/trsc.2021.1097},
     year = {2021}
   }

2015

1. Appl.Energy

   Extending the environmental benefits of ethanol–diesel blends through DGE incorporation

   Herreros, J.M., Schroer, K., Sukjit, E., and Tsolakis, A.

   Applied Energy, 2015

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   The research focuses on the potential use of DGE (diethylene glycol diethyl ether), as a high-cetane number oxygenated additive to diesel-like fuels. Apart from evaluating its individual effects an investigation of how DGE can facilitate the use of bio-ethanol in diesel engines was conducted; which faces many technical difficulties, but can provide environmental advantages over biodiesel and conventional diesel fuel. Four partly renewable fuel blends with varying contents of DGE and ethanol were designed with overall diesel-replacement rate of 20%. DGE was found to reduce gaseous emissions, achieving a simultaneous reduction in both soot and NOx which highlighted the beneficial effects of its high cetane number and oxygen content. In ethanol–diesel blends small additions of DGE significantly enhanced blend stability and blend auto-ignition properties. Improvements in the NOx/soot trade-off characteristics were obtained for all blends. All tested blends produced lower particulate matter number concentrations and soot with characteristics that reduced their oxidation temperatures, hence providing benefits for diesel particulate filter (DPF) regeneration. Overall it was found that DGE fuel provides considerable energy and environmental benefits if used both as a single oxygenate with diesel or in multicomponent blends with ethanol and diesel.

   @article{Herreros2015,
     bibtex_show = {true},
     author = {Herreros, J.M. and Schroer, K. and Sukjit, E. and Tsolakis, A.},
     doi = {10.1016/j.apenergy.2015.02.075},
     issn = {03062619},
     journal = {Applied Energy,},
     abbr = {Appl.Energy},
     number = {x},
     pages = {335--343},
     publisher = {Elsevier Ltd},
     title = {Extending the environmental benefits of ethanol–diesel blends through DGE incorporation},
     html = {http://linkinghub.elsevier.com/retrieve/pii/S0306261915002603},
     volume = {146},
     year = {2015}
   }

2021

1. WITS

   Preference-Aware Planning and Operations of Electric Vehicle Charging Clusters: A Prescriptive Framework

   Schroer, K., Ahadi, R., Lee, Y.T., and Ketter, W.

   In Workshop on Information Systems and Technology (WITS) 2021 (Austin, TX), 2021
2. SIGGreen

   Data-driven Planning and Operations of Electric Vehicle Charging Hubs

   Schroer, K., Ahadi, R., Lee, Y.T., and Ketter, W.

   In Proceedings of the SIG GREEN Workshop 2021 (Austin, TX), 2021
3. INFORMS

   Dynamic Pricing to Manage On-demand Vehicle Rental Network Operations: An Empirical Study of ShareNow

   Schroer, K., Demircan, M., and Ketter, W.

   In INFORMS 2021 Annual Meeting (Anaheim, CA), 2021
4. CIST

   Examining the Role of Product Differentiation in the Sharing Economy

   Demircan, M., Schroer, K., Fritze, M.P., and Ketter, W.

   In INFORMS Conference on Information Systems and Technology (Newport Beach, CA), 2021

2020

1. ICIS

   To Substitute or to Supplement? - Investigating the Heterogeneous Effects of Electric Scooter Platform Introduction on Micromobility

   Schroer, K., Pohl, M., and Ketter, W.

   In International Conference on Information Systems 2020 (India), 2020

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2. INFORMS

   An Empirical Analysis Of The Heterogenous E!ects Of Electric Scooter Platform Introduction On Micromobility

   Schroer, K., and Ketter, W.

   In INFORMS 2020 Annual Meeting (Virtual), 2020

2019

1. WITS

   Optimal management of free-floating vehicle sharing systems under competition

   Schroer, K., Ketter, W., Lee, T.Y., Gupta, A., and Kahlen, A.

   In Workshop on Information Systems and Technology 2019 (Munich), 2019
2. SIGGreen

   An Online Learning and Optimization Approach for Competitor-Aware Management of Shared Mobility Systems

   Schroer, K., Ketter, W., Lee, T.Y., Gupta, A., and Kahlen, M.

   In Proceedings of the SIG GREEN Workshop, 2019

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3. PASS

   Utilizing Real-Time Competitor Information to Boost Profits for One-Way Transportation Companies

   Schroer, K., Kahlen, M., Ketter, W., Lee, T.Y., and Gupta, A.

   In Workshop on Policy, Awareness, Sustainability, and Systems (PASS) (Cologne), 2019
4. CIST

   Fleet Wars – Leveraging Big Urban Data for Competitor- Aware Predictive Analytics in Free-Floating Shared Mobility Systems

   Schroer, K., Kahlen, M., Ketter, W., Lee, T.Y., and Gupta, A.

   In INFORMS Conference on Information Systems and Technology (Seattle, WA), 2019

2021

1. How road pricing is tackling congestion and pollution in cities like London and Singapore

   Ketter, W., M., Loan, Eckhardt, C.F., Wolff, C., and Schroer, K.

   World Economic Forum Blogpost, 2021

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2. Sustainable Road Transport and Pricing

   Eckhardt, C.F., Gray, K., Haon, S., Ketter, W., Shann, L.W., Ma, W., Ang, J.M., and Schroer, K.

   World Economic Forum Whitepaper, 2021

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2020

1. Analyse zukünftiger Elektrofahrzeugdaten auf Basis von App-Daten

   Lielienkamp, A., Kienscherf, P., Schroer, K., and Gierkink, M.

   Energiewirtschaftliche Tagesfragen, 2020

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2. Virtuelle Kraftwerke aus Elektrofahrzeugen

   Ketter, Wolfgang, and Schroer, Karsten

   MitUns, 2020

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3. Accessing new revenue pools through virtual power planting of electric vehicle fleets

   Ketter, W., and Schroer, K.

   Wundermobility Blog, 2020

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2018

1. Artificial Intelligence: A smart move for utilities

   Henzelmann, T., Hammermeister, F., Wurm, B., Nonnenmacher, L., Preiss, S., and Schroer, K.

   Roland Berger Think:Act, 2018

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