Bicycle Comfort Level Rating (BCLR) model for urban street segments in mid-sized cities of India

Beura, Sambit Kumar; Haritha, C; Panda, Mahabir; Bhuyan, Prasanta Kumar

doi:10.1016/j.jth.2020.100971

Cited by 8 publications

(4 citation statements)

References 7 publications

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“…Te growth of the bicycle volume and on-street parking would increase the frequency of potential lateral interference, probably because these factors lead to an increase in surrounding disturbances that can afect the cycling behavior, which is consistent with the literature [38,39,50]. Besides, it has also been found that the coefcient tends to increase with the increase of the quantile, indicating that the cyclists with many lateral actions may be more sensitive to the surrounding trafc, with a more volatile behavior when encountering more bicycles or parking vehicles during cycling.…”

Section: Results Of the Quantile Regression Modelsupporting

confidence: 89%

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Assessing the Complexity of Potential Bicycle Interference on Vehicles on Urban Road Segments

Wang

2023

Journal of Advanced Transportation

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Interacting with bicycles on urban road segments is complex for vehicles, due to the diverse and flexible cycling behavior that can cause interferences. Studies show that driving mixed with bicycles is also a great challenge for autonomous vehicles (AVs), and it is necessary to consider the interference of bicycles when selecting public roads for testing. However, existing road evaluation methods mostly focus on autonomous driving functions and accident analysis, although bicycles have been considered, often with insufficient consideration of their interference. This study analyzes two types of cycling behavior that could interfere with vehicles, including lateral (turning handlebars) and longitudinal (braking or accelerating) behavior, with each occurrence of such behavior considered as one potential lateral or longitudinal interference. From the perspective of cycling behavior, a framework is proposed to assess the complexity of potential bicycle interference on vehicles on road segments. A higher frequency of both potential lateral and longitudinal interference represents a higher complexity of potential interference. A naturalistic field experiment was conducted to collect the potential lateral and longitudinal interference frequency and the environmental parameters of road segments. The quantile regression model was applied to analyze the environmental factors influencing different interference frequencies separately and further establish the assessing model of the potential bicycle interference complexity, and the usability of the model has been demonstrated with a case study. Results show that the potential interference complexity varies across road segments, with some factors leading to more frequent potential lateral and longitudinal interference but with varying degrees of impact (such as the separation between bicycles and vehicles), while some only affect the lateral interference frequency (such as the on-street parking condition). The proposed framework can help autonomous driving companies or evaluation agencies to select appropriate testing roads, thus promoting the development of autonomous driving.

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Section: Results Of the Quantile Regression Modelsupporting

confidence: 89%

“…Tis may be because the narrow road limits the lateral movement and cyclists rely more on deceleration to change their behavior. Te fndings further enrich the existing knowledge that reducing the efective cycling width would afect the cycling behavior [38,50,51].…”

Section: Results Of the Quantile Regression Modelmentioning

confidence: 90%

Assessing the Complexity of Potential Bicycle Interference on Vehicles on Urban Road Segments

Wang

2023

Journal of Advanced Transportation

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“…Table 1 summarizes different concepts and their essential considerations when developing the metrics in the literature to assess the bicycle environment. [1,16,31,32] Bicycle Safety Index Bicycle Safety Index Motorized vehicles (speed, volume, flow, density, and infrastructure) [7,33] Bikeability Index BI, Area-Wide Bikeability Assessment Model (ABAM), Bike Score ® Safety Comfort Attractiveness Directness Coherence [34][35][36][37][38] Bikeability can be defined in different ways [39,40]. Bikeability measures how easy, safe, and convenient it is to ride a bike on a particular path or in a particular area [41].…”

Section: Introductionmentioning

confidence: 99%

Bicycle Infrastructure Design Principles in Urban Bikeability Indices: A Systematic Review

Ahmed,

Pirdavani,

Wets

et al. 2024

Sustainability

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Bicycling is a sustainable form of micromobility and offers numerous health and environmental benefits. Scientific studies investigating bikeability have grown substantially, especially over the past decade. This paper presents a systematic literature review of the developed urban bikeability indices (BIs). The paper provides insight into the scientific literature on bikeability as a tool to measure bicycle environment friendliness; more importantly, the paper seeks to know if the BIs consider bicycle infrastructure design principles. Data extraction included identifying the geographical location, essential indicators, sample size and distribution, data source, the unit of analysis, measurement scale, methods used to weigh indicators, and identification of studies using bicycle design principles in BIs. The database search yielded 1649 research articles using different keywords and combinations, while 15 studies satisfied the inclusion criteria. The studies were found to be conducted in various geographical locations. The unit of analysis for developing the index varied across studies, from street segments or bicycle lanes to zones within the city or even the entire city. The most commonly utilized method in developing urban BIs was a scoring and weighting system to weigh the indicators. The weighting methods include an equal weight system, survey-based and literature review-based methods, expert surveys, the analytic hierarchy process, and a weighted linear combination model. The essential criterion is bicycle infrastructure, such as bike lanes, routes, and bicycle paths as 14 studies considered it for the construction of the BIs. The review findings suggest a lack of consideration of all five bicycle infrastructure design principles, as only three studies considered them all, while others only included a subset. Safety and comfort are the most commonly considered principles, while coherence is the least considered principles in the BIs. It is crucial to consider all five bicycle infrastructure design principles to create a bicycle-friendly environment and attract more people to this sustainable mode of transportation.

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“…In the literature, some multicriteria models have been found that seek to measure the quality and well-being of the user in specific situations. These studies aim to conceive and define indexes associated with pedestrian safety [10,11], traffic comfort and environmental impact on bicycle lanes [12,13], pedestrian well-being at the time of transit [14][15][16] and measurement of sustainability in urban spaces [17,18] among others.…”

Section: Introductionmentioning

confidence: 99%

Multi-Criteria Approach for Prioritizing and Managing Public Investment in Urban Spaces. A Case Study in the Triple Frontier

et al. 2021

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The aspirations of public administrations to meet quality parameters and standards in urban spaces have fostered new strategies and tools that allow users to give safety and well-being. The participation and interaction of different actors during decision-making in the context of allocation of public resources implies a significant degree of complexity when prioritizing actions in public works. The objective of the study focuses on obtaining an urban street condition index (USCI) that allows an efficient diagnosis of urban infrastructure. The study provides an innovation component for decision-making through the construction of guidelines to prioritize spending on investment in urban infrastructure. The case study has been developed in three countries, Brazil, Paraguay and Argentina (Triple Border) with the aim of drawing management guidelines during the process in public entities. The results for Brazil and Argentina present streets with satisfactory USCI. Paraguay reflects a significant lack of urban infrastructure and compliance of accessibility regulations. Regarding the city of Foz de Iguazú, it has been observed that 50% of the roads require prevailing actions to improve the mobility of the roads; 40% of these reflect reduced mobility and deterioration of urban components, configured as an urgent action, and only 10% of the roads studied reflect adequate mobility conditions.

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Bicycle Comfort Level Rating (BCLR) model for urban street segments in mid-sized cities of India

Cited by 8 publications

References 7 publications

Assessing the Complexity of Potential Bicycle Interference on Vehicles on Urban Road Segments

Assessing the Complexity of Potential Bicycle Interference on Vehicles on Urban Road Segments

Bicycle Infrastructure Design Principles in Urban Bikeability Indices: A Systematic Review

Multi-Criteria Approach for Prioritizing and Managing Public Investment in Urban Spaces. A Case Study in the Triple Frontier

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