Predicting cycling volumes using crowdsourced activity data

Livingston, Mark; McArthur, David Philip; Hong, Jinhyun; English, Kirstie

doi:10.1177/2399808320925822

Cited by 13 publications

(5 citation statements)

References 24 publications

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“…The data also include whether each trip is classed as commuting or non-commuting. Several previous studies, including studies in Glasgow, examined the validity of Strava data for cycling research, and most showed positive results (e.g., high correlations) [47,48]. However, they used an earlier version of the Strava Metro product that includes raw cycling counts at the link level.…”

Section: Datamentioning

confidence: 99%

Did Safe Cycling Infrastructure Still Matter During a COVID-19 Lockdown?

2020

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The UK government introduced strict measures (including asking people to work from home and a lockdown) to slow the spread of COVID-19 by limiting people’s movement. This led to substantial reductions in traffic, making roads much safer for cyclists. This provides a unique opportunity to study the role played by safe cycling infrastructure. Many UK cities have provided cycling infrastructure to improve safety and encourage cycling. However, access to safe cycling infrastructure varies across neighbourhoods, potentially contributing to inequality. Since roads became safer due to the unprecedented reduction in traffic during the lockdown, safe cycling infrastructure may not play a significant role during this period. On the other hand, safe cycling lanes are often connected to amenities, potentially attracting cyclists even if they confer no additional safety benefit. That is, connectivity might matter more than safety. In this study, we utilised crowdsourced cycling data and regression models to examine the extent to which cycling intensity for non-commuting purposes changes with different types of cycling infrastructure in the city of Glasgow, Scotland, UK. In addition, we selected some areas with large increases in cycling intensity and examined the surrounding environments using Google Street View. Our results showed that non-commuting cycling activities increased significantly after the government interventions on both typical roads and safe cycling lanes while much higher increases were observed on safe cycling lanes than on other roads. A further analysis showed that there were large increases in cycling volumes on both typical roads and safe cycling lanes with good amenities and connectivity, highlighting the importance of these factors when building new cycling infrastructure. Since safe cycling lanes are not equally accessible to people, providing temporary cycling lanes during the pandemic considering these conditions could encourage people to cycle more, and thereby improve their health.

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Section: Datamentioning

confidence: 99%

Did Safe Cycling Infrastructure Still Matter During a COVID-19 Lockdown?

2020

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“…For example, in their extensive literature review of applications of Metro data related to cycling, Lee and Sener (2020) identify a range of municipal use categories, including travel pattern identification, travel demand estimation, route choice analysis, infrastructure investment, preventing collisions, and air pollution exposure assessments. As municipalities began to use Strava Metro data to inform decision-making, researchers such as Conrow et al (2018) and Livingston et al (2020) scrutinized whether the data could be used as a proxy for actual cyclists on a given route. Both studies found that Strava Metro data only captures a particular demographic of riders, one that is generally more male, white, and affluent than the general population.…”

Section: Adapting Fitness Platform Data To Planning: From Strava To S...mentioning

confidence: 99%

Strava Metro Data

Robinson,

Johnson,

Vernooy

2024

CPP-APC

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The widespread adoption of mobile phone and other location-tracking devices, and the enormous amounts of data they produce, has provided municipalities with the opportunity to automate previously time-consuming and labour-intensive data collection processes. Municipal planners, in particular, have begun to integrate the aggregated data sets of private urban technology platforms into active transportation and broader infrastructure planning initiatives. To date, however, there has been limited research on the implications of this integration for municipal decision-making and governance processes. Using the Strava Metro data stream and its free-access model as a case study, this paper explores both the motivations behind municipal adoption of the Strava platform and the benefits that accrue from its usage. Through the application of a mixed methods approach, including the building of a use case database via a search of internet and academic literature sources and qualitative interviews with municipal planning staff, our research examines how Strava data is used to support the work of municipal planners and evaluates the strengths and weaknesses of that use. Our study finds that Strava Metro data aided municipal staff in the planning of cycling and pedestrian infrastructure, complementing available in-house data sets; helped spur new active transportation initiatives; and enabled innovation and professional curiosity on the part of planners. The paper concludes by exploring the ramifications of Strava data for community wellness and broader public realm improvements, as well as extending a discussion with respect to the platform’s sociodemographic representativeness and related limitations.

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“…We also noted that the effectiveness of PPGIS technologies relies on their integration into planning and decision making, with public participation and local knowledge being key [91]. PPGIS use has certain disadvantages [83,92]. For instance, Strava's data, limited to fitness-tracking users, may not represent all population interests, leading to a bias.…”

Section: The Role Of Gis In Capacity Buildingmentioning

confidence: 99%

Towards a Sustainable Transport System: Exploring Capacity Building for Active Travel in Africa

Lartey,

Glaser

2024

Sustainability

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The promotion of active travel is deemed a crucial component of the transition to sustainable urban mobility. Several barriers hinder its policy implementation and uptake. Some evidence suggests that capacity building could be a useful tool for deepening sustainability efforts. This concept involves the development and deployment of skills and resources. However, a clear framework for understanding the dimensions of capacity building for active travel is lacking. Furthermore, most research and findings use cases within a Global North context, constricting implications and transferability to the Global South, especially to African cities. This study responds to the dearth of scholarly work exploring Global South cases and fills a knowledge gap regarding capacity building in the case of active travel. Through a literature review, we examined the dimensions of capacity building that are necessary to improve active travel in selected African countries. We focus on multilevel transportation governance with highlights from five African cities. Our findings suggest that the literature and policies on transport in Africa have key dimensions for capacity building for active travel but lack the introduction of key instruments and strategic pathways to meet these requirements for improved sustainable mobility. We propose a thematic guiding framework that delineates the strategic application of capacity building at three levels of governance. This framework helps integrate capacity building for active travel policies and implementation at the institutional, individual, and environmental levels.

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Predicting cycling volumes using crowdsourced activity data

Cited by 13 publications

References 24 publications

Did Safe Cycling Infrastructure Still Matter During a COVID-19 Lockdown?

Did Safe Cycling Infrastructure Still Matter During a COVID-19 Lockdown?

Strava Metro Data

Towards a Sustainable Transport System: Exploring Capacity Building for Active Travel in Africa

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