Exploring pareto routes in multi-criteria urban bicycle routing

Song, Qing; Zilecky, Pavol; Jakob, Michal; Hrncir, Jan

doi:10.1109/itsc.2014.6957951

Cited by 14 publications

(5 citation statements)

References 12 publications

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“…In some studies, GIS is combined with multicriteria analysis or multicriteria analysis is employed as the only research tool. For instance, a multi-criteria approach to urban bicycle routing was applied by Song et al (2014), who used a set of criteria and a multi-label correcting algorithm for computing the full set of Pareto routes.…”

Section: Methods Used In Studies On Where To Build Cycling Infrastruc...mentioning

confidence: 99%

Using the PROMETHEE II Method for the Assessment of Recreational and Tourist Cycle Routes

Solecka¹,

Katarzyna²

2022

ERSJ

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Purpose: This article is devoted to route planning for the purposes of recreational and tourist cycling, presenting the results of research that employed the PROMETHEE II method for the assessment of such routes in Kraków and its suburban areas (Poland). It aims to contribute to the little-studied issue of the evaluation of recreational and tourist cycle routes that connect urban and suburban areas. Design/methodology/approach: The research relies on one of the Multiple Criteria Decision Aid (MCDA) methods, PROMETHEE II. The variants of bike routes were compared in terms of different economic, social and technical criteria to arrive at a final ranking. The weights of the criteria were assigned based on the knowledge and experience of experts in bike infrastructure design as well as the opinion of bike users. Findings: The findings show the factors that matter not only for the users of cycle routes, but also for entities in charge of creating such infrastructure. They also highlight the importance of various aspects that accompany route planning, such as cooperation between entities, integration with the railway system or the use of religious sites as the backbone of the route. Practical Implications: The results of the study complement the current state of knowledge on the factors for planning and accessing the recreational and tourist bike routes. The conclusions can contribute to the broader transport and tourism policy of many regions, including suburban and rural areas. The method employed, because its universal character, may be used for assessment of cycle routes for various user types and different locations. Originality/Value: Its uniqueness consists in that it includes the aspect of integration of cycle routes with railway infrastructure and employs one of the least common MCDA methods. Moreover the importance of the parameters of the recreational and tourist routes are analysed not only from the view point of the route users, but also entities in charge of creating such infrastructure.

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Section: Methods Used In Studies On Where To Build Cycling Infrastruc...mentioning

confidence: 99%

Using the PROMETHEE II Method for the Assessment of Recreational and Tourist Cycle Routes

Solecka¹,

Katarzyna²

2022

ERSJ

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“…The multi-objective routing problem was first tackled by Martins et al [10], who defined the problem in terms of several objective functions and developed a multicriteria label-setting algorithm for its solution. Later research, like that of Song et al [11], explored the use of multilabel correction algorithms to find Pareto routes and included hierarchical clustering techniques to expedite the selection procedure. Even with recent improvements in label-setting algorithms, real-time applications are still hindered by the processing timescales these techniques demand.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Safety and Multifaceted Preferences to Optimise Cycling Routes for Cyclist-Centric Urban Mobility

Alatiyyah

2023

IJACSA

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In order to optimise bicycle routes across a variety of multiple parameters, including safety, efficiency and subtle rider preferences, this work explores the difficult domain of the Bike Routing Problem (BRP) using a sophisticated Simulated Annealing approach. In this innovative structure, a wide range of limitations and inclinations are combined and carefully calibrated to create routes that skillfully meet the varied and changing needs of cyclists. Extensive testing on a dataset representing a range of rider preferences demonstrates the effectiveness of this novel approach, resulting in significant improvements in route selection. This research is a significant resource for urban planners and politicians. Its data-driven solutions and strategic recommendations will help them strengthen bicycle infrastructure, even beyond its immediate applicability in resolving the BRP.

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“…The first a posteriori approach applied to a multi-objective routing problem was formalized by Martins (1984) who proposed multiple objective functions to describe the problem and created the multi-criteria label-setting algorithm to solve it. A multi-label correcting algorithm was used by Song et al (2014) to select a set of Pareto routes. Together with the previous algorithm, the authors also applied a route selection algorithm based on hierarchical clustering to reduce the size of the Pareto set.…”

Section: Related Workmentioning

confidence: 99%

“…A multi‐label correcting algorithm was used by Song et al. (2014) to select a set of Pareto routes. Together with the previous algorithm, the authors also applied a route selection algorithm based on hierarchical clustering to reduce the size of the Pareto set.…”

Section: Related Workmentioning

confidence: 99%

Solving the multi‐objective bike routing problem by meta‐heuristic algorithms

Nunes

Moura

Santos

2022

Int Trans Operational Res

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The Multi‐Objective Bike Routing Problem (MOBRP) addressed in this paper consists in finding a set of good solutions that represents the trade‐off between cyclist preferences when choosing a route. We propose a new genetic approach to solve the MOBRP (NGA‐MOBRP) with a new mutation operator. To test the approach, we consider four conflicting criteria: safety, travel distance, travel time, and comfort. The well‐known Nondominated Sorting Genetic Algorithm II (NSGA‐II) is also implemented in the MOBRP context, and its weaknesses are identified and mitigated in the proposed NGA‐MOBRP. The developed approach is compared with other published works in this field, namely another genetic algorithm and a Multi‐Objective Simulated Annealing (MOSA) approach. The computational results show that the approach developed in this work obtains better results than the previously mentioned published approaches.

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Exploring pareto routes in multi-criteria urban bicycle routing

Cited by 14 publications

References 12 publications

Using the PROMETHEE II Method for the Assessment of Recreational and Tourist Cycle Routes

Using the PROMETHEE II Method for the Assessment of Recreational and Tourist Cycle Routes

Enhancing Safety and Multifaceted Preferences to Optimise Cycling Routes for Cyclist-Centric Urban Mobility

Solving the multi‐objective bike routing problem by meta‐heuristic algorithms

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