Modelling Methods for Planning and Operation of Bike-Sharing Systems

Nath, Rito Brata; Rambha, Tarun

doi:10.1007/s41745-019-00134-8

Cited by 12 publications

(5 citation statements)

References 107 publications

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“…Another direction for future research is to more accurately reflect reality in the optimization model. For instance, the relocation staff uses trucks in many bikesharing systems (Ghosh et al, 2017;Legros, 2019;Li et al, 2018;Nath & Rambha, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…The various approaches to dealing with the vehicle relocation problem can be categorized into optimization models, simulation models, and multistage approaches (Illgen & Höck, 2019); see systematic reviews (Ataç et al, 2021;Ferrero et al, 2018;Gavalas et al, 2016;Illgen & Höck, 2019;Laporte et al, 2018;Nath & Rambha, 2019) for detailed lists of research papers about the vehicle relocation problem.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Linear control policies for online vehicle relocation in shared mobility systems

Yoshida

Takano

2022

Expert Systems with Applications

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Linear control policies for online vehicle relocation in shared mobility systems

Yoshida

Takano

2022

Expert Systems with Applications

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“…Nath and Rambha [35] review the strategic and operational planning literature. Strategic planning involves station location, capacity, and network design, whereas operational planning involves relocating bicycles.…”

Section: B Existing Literature On Bss Designmentioning

confidence: 99%

“…From the review of previous studies, it can be noticed that, at first, the authors concentrate on specific aspects such as service quality, price, bike use, and security issues to avoid injuries [7], [11], [13], [14], [31]. As the BSS has developed, the analysis of the different elements of a bike-sharing system has been carried out from the perspective of operational, tactical, and strategic planning [1], [6], [35], [45], [46], [56]. This study aims to add to these very interesting contributions by conducting a comprehensive systematic review of modern BSS design, compiling and analyzing the literature to provide an overview and guide for future work in the field.…”

Section: B Existing Literature On Bss Designmentioning

confidence: 99%

Designing Bike-Sharing Systems Supported by Data: A Systematic Literature Review

Cueva,

Shi,

Cedillo

2024

IEEE Access

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Bike-sharing systems (BSSs) have been adopted in various places, and many primary studies have been conducted to design and establish station locations. However, there has been no attempt to compile and summarize these in a systematic literature review (SLR) related to long-term BSS design. This paper presents an SLR that identifies and interprets studies published from January 1st, 2001, to January 1st, 2023. The main research question this paper seeks to answer is "What key factors are used to design BSSs?" those factors are supported by criteria such as methods for interpreting and using data from several sources. In this context, both automatic and manual searches for literature were conducted, resulting in 96 studies related to the design of a BSS being included in this review. The methodology used objectively assesses the research topic in a reliable, repeatable, and replicable manner. It allows us to determine what factors, methods, and data were used in the strategic planning of the BSS design. The review results show that although many solutions to problems have been devised, gaps need to be filled in this research field. This study aims to help researchers detect weaknesses and gaps and open new horizons regarding the BSS long-term design.

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“…These decisions are called static and dynamic rebalancing, respectively. Rebalancing is a key factor in the management of the system, as it determines the service level received by the users (Nath and Rambha, 2019). Inventory management and rebalancing operations in BSS become complex problems as the size of the system increases due to non-homogeneous demand.…”

Section: Introductionmentioning

confidence: 99%

Simulation analysis of initial inventory in BSSs

Ramírez–Nafarrate

Moncayo–Martínez

Munguía-Williams

2021

JM2

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Purpose This paper aims to propose an alternate, efficient and scalable modeling framework to simulate large-scale bike-sharing systems using discrete-event simulation. This study uses this model to evaluate several initial bike inventory policies inspired by the operation of the bike-sharing system in Mexico City, which is one of the largest around the world. The model captures the heterogeneous demand (in time and space) and this paper analyzes the trade-offs between the performance to take and return bikes. This study also includes a simulation-optimization algorithm to determine the initial inventory and present a method to deal with the bias caused by dynamic rebalancing on observed demand. Design/methodology/approach This paper is based on the analysis of an alternate and efficient discrete-event simulation modeling framework. This framework captures the heterogeneity of demand and allows one to experiment with large-scale models. This study uses this model to test several initial bike inventory policies and also combined them with an optimization engine. The results, provide valuable insights not only for the particular system that motivated the study but also for the administrators of any bike-sharing system. Findings The findings of this paper include: most of the best policies use a ratio of bikes: docks near to 1:2; however, it is important the way they are initially allocated; a policy that contradicts the demand profile of the stations can lead to poor performance, regardless the quick and dynamic changes of bike locations during the morning period; the proposed simulation-optimization algorithm achieves the best results. Research limitations/implications The findings are limited to the initial inventory of the system under study. The model assumes a homogeneous probability distribution function for the travel time. This assumption seems reasonable for the system under study. This paper limits the tested inventory policies to simple practical rules. There might be other sophisticated methods to obtain better solutions, but they might be system-specific. Practical implications The insights of this paper are valuable for operators of bike-sharing systems because this study focuses on the analysis of the impact of the initial inventory assuming that dynamic rebalancing may not be existing during the morning peak-time. This paper finds that initial inventory has a great impact on the performance, regardless of how quickly the bikes are dispersed across the system. This study also provides insights into the effect of dynamic rebalancing on observed demand. Social implications Increasing knowledge about the operation of the bike-sharing system has a positive effect on society because more cities around the world could consider implementing these systems as a public transportation mode. Furthermore, delivering suggestions on how to increase the user service level could incentivize people to adopt bikes as a mobility option, which would contribute to improve their health and also reduce air pollution caused by motorized vehicles. Originality/value This paper considers that the contributions of this work to existing literature are the following: this study proposes a novel efficient and scalable simulation framework to evaluate initial bike inventory policies; the analysis presented in the paper includes an approach to deal with the bias in the observed demand caused by dynamic rebalancing and the analysis includes the value of demand information to determine an effective initial bike inventory policy.

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Modelling Methods for Planning and Operation of Bike-Sharing Systems

Cited by 12 publications

References 107 publications

Linear control policies for online vehicle relocation in shared mobility systems

Linear control policies for online vehicle relocation in shared mobility systems

Designing Bike-Sharing Systems Supported by Data: A Systematic Literature Review

Simulation analysis of initial inventory in BSSs

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