Universität zu Köln

Schroer, Karsten ORCID: 0000-0002-5443-1696, Ketter, Wolfgang ORCID: 0000-0001-9008-142X, Lee, Thomas Y., Gupta, Alok ORCID: 0000-0002-2097-1643 and Kahlen, Micha ORCID: 0009-0005-8302-6402 (2022). Data-Driven Competitor-Aware Positioning in On-Demand Vehicle Rental Networks. Transportation science, 56 (1). 182 - 202. CATONSVILLE: INFORMS. ISSN 1526-5447

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Abstract

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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Schroer, Karsten UNSPECIFIED orcid.org/0000-0002-5443-1696 UNSPECIFIED Ketter, Wolfgang UNSPECIFIED orcid.org/0000-0001-9008-142X UNSPECIFIED Lee, Thomas Y. UNSPECIFIED UNSPECIFIED UNSPECIFIED Gupta, Alok UNSPECIFIED orcid.org/0000-0002-2097-1643 UNSPECIFIED Kahlen, Micha UNSPECIFIED orcid.org/0009-0005-8302-6402 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-589280
DOI:	10.1287/trsc.2021.1097
Journal or Publication Title:	Transportation science
Volume:	56
Number:	1
Page Range:	182 - 202
Date:	2022
Publisher:	INFORMS
Place of Publication:	CATONSVILLE
ISSN:	1526-5447
Language:	English
Faculty:	Faculty of Management, Economy and Social Sciences
Divisions:	Center of Excellence C-SEB Faculty of Management, Economics and Social Sciences > Business Administration > Information Systems > Chair for Information Systems and Systems Development
Subjects:	Economics
Uncontrolled Keywords:	Keywords Language TIME; RELOCATION; SYSTEMS; OPTIMIZATION; MANAGEMENT; FRAMEWORK; ALGORITHM; MODEL Multiple languages Operations Research & Management Science; Transportation; Transportation Science & Technology Multiple languages
Related URLs:	Publication
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/58928