Developing an urban bikeability index for different types of cyclists as a tool to prioritise bicycle infrastructure investments

Arellana, Julián; Saltarín, María; Larrañaga, Ana Margarita; González, V.; Henao, César Augusto

doi:10.1016/j.tra.2020.07.010

Cited by 74 publications

(80 citation statements)

References 69 publications

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“…For a matter of simplicity, we illustrate our methodology for two representative costs: distance and discomfort. Distance is an objective factor whereas discomfort is a subjective, and complex factor to measure (Arellana et al 2020). The methodology still holds for a wider set of objectives at the cost of less interpretability.…”

Section: Multi-layered Bikeability Assessment Methodologymentioning

confidence: 99%

“…Bikeability is the combination of objective and subjective factors and it integrates concepts such as bicycle comfort, bicycle suitability, bicycle friendliness, and bicycle accessibility. According to a review published in 2020 (Arellana et al 2020) comfort and safety were the most common factors to construct bikeability indexes, around 96% of the reviewed studies included at least one of these factors. Lowry et al (2012) present bikeability in relation to the scale of analysis and distinguish between suitability of a link and bikeability defined as the convenience and comfort of routes over the entire city network.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Lowry et al (2012) present bikeability in relation to the scale of analysis and distinguish between suitability of a link and bikeability defined as the convenience and comfort of routes over the entire city network. In our work, bikeability focuses on the detour and type (or presence) of physical bicycle infrastructure, which can be regarded both as a comfort and a safety factor (Arellana et al 2020). The scale of the assessment developed in this study is based on segment level measurements of length and comfort at a city-or neighbourhood-level analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Discomfort depends on many factors (both observable and non-observable)(Arellana et al 2020), here we model discomfort as an ideal impedance value that one can measure to the best of its data availability. Later in the case study we will measure discomfort as presence and type of bicycle infrastructure, which is regarded by some studies as a comfort and others as a safety factor(Arellana et al 2020). …”

mentioning

confidence: 99%

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Understanding bikeability: a methodology to assess urban networks

et al. 2021

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A fully separated bicycle network from vehicular traffic is not realistic even for the most bicycle-friendly cities. Thus, all around the world urban cycling entails switching between streets of different safety, convenience, and comfort levels. As a consequence, the quality of bicycle networks should be evaluated not based on one but multiple factors and by considering the different user preferences regarding these factors. More comprehensive methodologies to assess urban bicycle networks are essential to the operation and planning of modern city transportation. This work proposes a multi-objective methodology to assess—what we refer to as—bikeability between origin–destination locations and over the entire network, useful for evaluation and planning of bicycle networks. We do so by introducing the concept of bikeability curves which allows us to assess the quality of cycling in a city network with respect to the heterogeneity of user preferences. The application of the proposed methodology is demonstrated on two cities with different bike cultures: Amsterdam and Melbourne. Our results suggest the effectiveness of bikeability curves in describing the characteristic features and differences in the two networks.

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Section: Multi-layered Bikeability Assessment Methodologymentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

mentioning

confidence: 99%

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Understanding bikeability: a methodology to assess urban networks

et al. 2021

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“…• Addresses various scale built environment characteristics related to cycling in a holistic manner • Suited for analysis of a stretch, a neighbourhood in a city, and other smaller or larger built-up areas, with a particular focus on the Nordic context Many approaches and methods for assessing cycling and the built environment exist (see, e.g. Arellana et al, 2020;Kellstedt et al, 2020;Muhs & Clifton, 2015). Recent reviews found that most are developed for non-European contexts, require the use of geographical information systems (GIS), and do not combine built environment characteristics at different scales (Arellana et al, 2020;Kellstedt et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Promoting cycling through urban planning and development: a qualitative assessment of bikeability

Hagen

Rynning

2021

Urban, Planning and Transport Research

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To increase cycling shares through urban planning and development, planners need sound tools to assess the built environment. This article presents a methodology to qualitatively determine bikeability, the extent to which it is possible and pleasurable to bike in or through a given area. It is a holistic assessment of four categories of built environment characteristics that affect bikeability. An assessment follows an iterative process combining secondary data and registrations from maps, aerial photos and fieldwork. The methodology does not require specialised tools and is applicable to different urban contexts and purposes. Two examples are included to demonstrate possible uses: assessment of existing built environments to establish a knowledge base when developing short-and long-term cycling plans and strategies, and assessment of planned urban transformations for use in planning processes to ensure new urban developments with a high level of bikeability. Possible methodological improvements are identified. Surveys and interviews with cyclists can provide further understandings of local context. Geographical information systems can inform an assessment but require specialist knowledge, better datasets, and more empirical data on cycling and the built environment from various contexts. As new insights emerge, the methodology must be continually updated to remain valid and reliable.

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Cycling Analytics for Urban Environments: From Vertical Models to Horizontal Innovation

Carvalho

Pessoa²,

José

2022

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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The full potential of ITS can only be achieved in a global scale and combining the efforts and the knowledge of multiple entities. This is also true for the current efforts towards the application of data, communications and services, to improve cycling and its integration into general mobility systems. The currently prevailing paradigm is based on disperse and self-contained custom processes, which fail to promote distributed and open innovation. These models are hard to reproduce, generalize, recombine or improve outside the context in which they were originally implemented. A digital platform strategy might offer a viable and scalable way to support convergence between multiple models and promote their usage as shared references for cycling ecosystems. In this work, we aim to validate our assumptions about the limitations of current development paradigms and analyse the extent to which a platform strategy could offer a fundamentally different approach to address those limitations. To validate the problem and uncover generalisation opportunities, we study 3 cycling mobility models and make an initial analysis of how the general principles of digital platforms could be applied as a general framework for a new type of solution for cycling analytics. The results confirm a high potential for horizontal features and outline a set of key design principles for the development of a digital platform strategy for cycling analytics. This should constitute a major contribution to inform the development of a new generation of cycling platforms for urban environments.

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Developing an urban bikeability index for different types of cyclists as a tool to prioritise bicycle infrastructure investments

Cited by 74 publications

References 69 publications

Understanding bikeability: a methodology to assess urban networks

Understanding bikeability: a methodology to assess urban networks

Promoting cycling through urban planning and development: a qualitative assessment of bikeability

Cycling Analytics for Urban Environments: From Vertical Models to Horizontal Innovation

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