A Simulation-optimization Approach to Design Efficient Systems of Bike-sharing

Ángel Ibeas · José Luis Moura · Juan Benavente · Borja Alonso

93 citations0/0 files storedProcedia - Social and Behavioral Sciences

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Urban Transport and Accessibility Transportation Planning and Optimization Transportation and Mobility Innovations

Abstract

This article presents a methodology to simultaneously modelize private car and public bicycle transport modes, considering their interactions through the modeling of the modal split and the assignment of each mode's trips to the network. Then the model is used to optimize the location of docking stations in a public sharing bicycle system, to achieve a transport system as efficient and sustainable as economically and socially possible. To model the car-bike system, it was necessary to perform a user behavior analysis, emphasizing the characterization of the potential bicycle user. Our objectives were: to discern which variables does the user take into account to choose, in an urban environment, between public bicycle and car; and to modelize bicycle users’ route choice. The proposed methodology is divided into three parts. In the first one, a transport network was created, over which car and bicycle users can be simulated at the same time. The second part is a type of combined modal split-assignment model, with its input coming from a global matrix (car and bicycle trips). A Multinomial Logit model for modal split and network assignment models will follow an iterative process to provide the final OD matrices and service variables for each mode of transport. After the definition and validation of the multimodal model, the third part, an optimization model, has been developed, based on bi-level mathematical programming. The objective is to optimize the location of a system of public bicycle docking stations. A combination of the different optimization criteria and problem reduction strategies has been applied to the real scenario of Santander city (Spain). It has been possible to perform a comparative analysis of the current situation, versus the model's proposal, getting results helpful to the relevant decision–making entities.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 93 citations exist upstream.

References

2003Bicycle Commuting and Facilities in Major U.S. Cities: If You Build Them, Commuters Will Use Them 2003Commuter Bicyclist Route Choice: Analysis Using a Stated Preference Survey 2009An analysis of bicycle route choice preferences in Texas, US 2010Characterizing the speed and paths of shared bicycle use in Lyon 2010Design speeds and acceleration characteristics of bicycle traffic for use in planning, design and appraisal

Cited by

2020Location-allocation modeling for emergency evacuation planning with GIS and remote sensing: A case study of Northeast Bangladesh 2019A continuous approximation model for the optimal design of public bike-sharing systems 2018User satisfaction based model for resource allocation in bike-sharing systems 2022Optimal location of bike-sharing stations: A built environment and accessibility approach 2019A mixed integer linear programming model for optimal planning of bicycle sharing systems: A case study in Beijing 2019Allocation of emergency response centres in response to pluvial flooding-prone demand points using integrated multiple layer perceptron and maximum coverage location problem models 2019Considering user behavior in free-floating bike sharing system design: A data-informed spatial agent-based model

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.