Regulating vehicle sharing systems through parking reservation policies: Analysis and performance bounds

Kaspi, Mor; Raviv, Tal; Tzur, Michal; Galili, Hila

doi:10.1016/j.ejor.2015.12.015

Cited by 68 publications

(26 citation statements)

References 24 publications

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“…For instance, several authors have presented pricing mechanisms that give customers incentives to change their origins and/or destinations, e.g., Chemla et al (2013b), Pfrommer et al (2014) and Waserhole and Jost (2016). Kaspi et al (2014) and Kaspi et al (2016) proposed a parking reservation policy in which a user reserves a locker at the intended destination station before renting a bicycle, thereby diminishing uncertainty and redirecting that user's demand to an available station. A different kind of policy was presented by Fricker and Gast (2016).…”

Section: Introductionmentioning

confidence: 99%

Setting Inventory Levels in a Bike Sharing Network

Datner

Raviv

Tzur

et al. 2019

Transportation Science

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Bike Sharing Systems (BSSs) allow customers to rent bicycles at automatic rental stations distributed throughout a city, use them for a short period of time, and return them to any station. One of the major issues that BSS operators must address is non-homogeneous asymmetric demand processes. These demand processes create an inherent imbalance, thus leading to shortages either of bicycles when users are attempting to rent them and of vacant lockers when users are attempting to return them. The predominant approach taken by operators to cope with this difficulty is to reposition bicycles to rebalance the inventory levels at the different stations. Most repositioning studies assume that a target inventory level or range of inventory levels is known for each station. In this paper, we focus on determining the correct target level for repositioning according to a well-defined objective. This is a challenging task because of the nature of the user behavior that creates the interactions among the inventory levels at different stations. For example, if bicycles are not available at the user's origin, the user may either abandon the system, use other means of transportation, or look for available bicycles at a neighboring station. If in another case, a locker is not available at a user's destination, then that user is obliged to find a station with available space to return the bicycle to the system. Thus, an empty/full station can create a spill-over of demand to nearby stations. In addition, stations are related by origin-destination pairing. In this paper, we take this effect into consideration for the first time when setting target inventory levels and develop a robust guided local search algorithm for that purpose.We show that neglecting the interactions among stations leads to inferior decision-making.

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Section: Introductionmentioning

confidence: 99%

Setting Inventory Levels in a Bike Sharing Network

Datner

Raviv

Tzur

et al. 2019

Transportation Science

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“…Although various user-based rebalancing schemes exist, such as system regulation [39] and parking reservation policies [40,41], offering users monetary incentives is the most commonly studied scheme in the literature, and we do not distinguish between incentive-based and user-based approaches in this paper. In this line of research, Febbraro et al [42] first propose the use of a fare discount to motivate users to change their destinations.…”

Section: Literature Reviewmentioning

confidence: 99%

Customer Incentive Rebalancing Plan in Free-Float Bike-Sharing System with Limited Information

Liu²,

Shi

2019

Sustainability

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Free-float bike-sharing (FFBS) systems have increased in popularity as a sustainable travel mode in recent years, especially in the urban areas of China. Despite the convenience such systems offer to customers, it is not easy to maintain an effective balance in the distribution of bikes. This study considers the dynamic rebalancing problem for FFBS systems, whereby user-based tactics are employed by incentivizing users to perform repositioning activities. Motivated by the fact that the problem is frequently faced by FFBS system operators entering a new market with limited information on travel demand, we adopt the ranking and selection approach to select the optimal incentive plan. We describe the system dynamics in detail, and formulate a profit maximization problem with a constraint on customer service level. Through numerical studies, we first establish that our procedure can select the optimal incentive plan in a wide range of scenarios. Second, under our incentive plan, the profit and service level can be improved significantly compared with the scenario without incentive provision. Third, in most cases, our procedure can achieve the optimal solution with a reasonable sample size.

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“…As shown in numerous examples, the problem may also be solved by analysing collected data regarding the scale of bicycle use in individual stations (Caggiani et al 2018), as well as by decreasing the rental costs for users who return bicycles at less popular stations (Fricker, Gast 2016;Haider et al 2018). A different solution may consist in implementing a system based on booking spots for returning bicycles rented in the system (Kaspi et al 2014(Kaspi et al , 2016; such change would drastically reduce the system's unpredictability stemming from a lack of information about the station which is the user's destination. It would also allow users to more precisely determine the availability of bicycles and free space for their return at the station.…”

Section: The Bicycle-sharing System As An Innovation In the Urban Tramentioning

confidence: 99%

Urban Cycling as an Indicator of Socio-Economic Innovation and Sustainable Transport

Kwiatkowski

2018

Quaestiones Geographicae

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Environmental pollution in cities is an increasingly popular issue tackled in research. One of the elements with a significant impact on the state of urban ecosystems is transport with its pressure on individual components of the environment. Sustainable urban transport is gaining prominence as a postulate expressed in cities’ strategic documents, constituting an element alleviating the negative effects of anthropopressure. In the light of the need to introduce innovative solutions for clean forms of transport, numerous papers indicate the bicycle as an answer to some of those problems. The article presents a review of literature referring to the socio-economic aspects of using the bicycle in cities as a means of transport for daily commuting. The analysis is based on publications on cyclist safety in road traffic, the perception of the bicycle as a means of transport in cities, and the introduction of innovative solutions, such as bicycle-sharing systems.

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Regulating vehicle sharing systems through parking reservation policies: Analysis and performance bounds

Cited by 68 publications

References 24 publications

Setting Inventory Levels in a Bike Sharing Network

Setting Inventory Levels in a Bike Sharing Network

Customer Incentive Rebalancing Plan in Free-Float Bike-Sharing System with Limited Information

Urban Cycling as an Indicator of Socio-Economic Innovation and Sustainable Transport

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