Universität zu Köln

Babic, Jurica ORCID: 0000-0001-8241-4116, Carvalho, Arthur, Ketter, Wolfgang ORCID: 0000-0001-9008-142X and Podobnik, Vedran (2018). Evaluating Policies for Parking Lots Handling Electric Vehicles. IEEE Access, 6. PISCATAWAY: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. ISSN 2169-3536

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Abstract

The recent advent of electric vehicles (EVs) marks the beginning of a new positive era in the transportation sector. Although the environmental benefits of EVs are well-known today, planning and managing EV charging infrastructure are activities that are still not well-understood. In this paper, we are investigating how the so-called EV-enabled parking lot, a parking lot that is equipped with a certain number of chargers, can define an appropriate parking policy in such a way that satisfies two challenges: EV owners' needs for recharging as well as the parking lot operator's goal of profit maximization. Concretely, we present three parking policies that are able to simultaneously deal with both EVs and internal combustion engine vehicles. Detailed sensitivity analysis, based on real-world data and simulations, evaluates the proposed parking policies in a case study concerning parking lots in Melbourne, Australia. This paper produces results that are highly prescriptive in nature because they inform a decision maker under which circumstances a certain parking policy operates optimally. Most notably, we find that the dynamic parking policy, which takes the advantage of advanced information technology (IT) and charging infrastructure by dynamically changing the role of parking spots with chargers, often outperforms the other two parking policies, because it maximizes the profit and minimizes the chance of cars being rejected by the parking lot. We also discuss how making a few parking spots EV-exclusive might be a good policy when the number of available chargers is small and/or the required IT infrastructure is not in place for using the dynamic policy. We conclude this paper proposing a technology roadmap for transforming parking lots into smart EV-enabled parking lots based on the three studied parking policies.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Babic, Jurica UNSPECIFIED orcid.org/0000-0001-8241-4116 UNSPECIFIED Carvalho, Arthur UNSPECIFIED UNSPECIFIED UNSPECIFIED Ketter, Wolfgang UNSPECIFIED orcid.org/0000-0001-9008-142X UNSPECIFIED Podobnik, Vedran UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-203494
DOI:	10.1109/ACCESS.2017.2777098
Journal or Publication Title:	IEEE Access
Volume:	6
Date:	2018
Publisher:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Place of Publication:	PISCATAWAY
ISSN:	2169-3536
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 INTEGRATION; ALLOCATION; SIMULATION; MARKET; SALES Multiple languages Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/20349