Where Does Bicycling for Health Happen? Analysing Volunteered Geographic Information Through Place and Plexus

Griffin, Graeme; Jiao, Junfeng

doi:10.2139/ssrn.2650002

Cited by 2 publications

(3 citation statements)

References 35 publications

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“…California Department of Fish and Wildlife 2015); and (iii) angler behaviour in the context of fisheries, tourism or human health (e.g. In the same way that data from bicycling apps can benefit transportation planning and health studies (Griffin and Jiao 2015), 'real-time' fisheries data also permit 'realtime' analyses that can contribute to proactive and predictive fisheries management, for example using continually updated effort and harvest data to monitor the quality of a fishery. In addition, because anglers interact with the resource frequently and extensively, app data are likely to be high resolution and widely distributed in space and time.…”

Section: Opportunitiesmentioning

confidence: 99%

Angler apps as a source of recreational fisheries data: opportunities, challenges and proposed standards

2016

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Recreational fisheries surveys are limited in time and place in many countries. This lack of data limits scientific understanding and sustainable management. Smartphone applications (apps) allow anglers to record the details of their fishing trips and catches. In this study, we describe the opportunities and challenges associated with angler apps as a source of recreational fisheries data, and propose minimum standards for data collection via angler apps. Angler apps are a potentially valuable source of conventional and novel data that are both frequent and extensive, and an opportunity to engage anglers through data sharing and citizen science. Realizing this potential requires that we address significant challenges related to angler recruitment and retention, data quality and bias, and integration with existing fisheries programmes. We propose solutions to each of these challenges. Given that the angler app market is diverse, competitive and unpredictable, we emphasize minimum standards for data collection as a way to ensure large and reliable data sets that can be compared and integrated across apps. These standards relate to trips and catches, and angler demographics and behaviour, and should be supported through consultation and research. Angler apps have the potential to fundamentally change how anglers interact with the resource and with management.

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Section: Opportunitiesmentioning

confidence: 99%

Angler apps as a source of recreational fisheries data: opportunities, challenges and proposed standards

2016

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“…Using geographically weighted regression (GWR), they find that census blocks with a high percentage of population under 18 are the best predictor of content production. Griffin and Jiao () use data from the cycling application Strava to find roads most frequently traversed by cyclists, and how these patterns correspond to the variables relating to the built environment. They suggest that planners use such results to find the most beneficial locations for bicycle lanes.…”

Section: Introductionmentioning

confidence: 99%

“…OSM is mostly used and contributed to by men, thus reflecting male local knowledge (Stephens, ). Similarly, Strava is a heavily male‐dominated platform (Griffin & Jiao, ), so any planning decisions made with Strava will reflect the preferences of this group. Determining users' home locations, work locations, and trip purposes is difficult, complicating the application of Twitter‐based travel‐demand modeling.…”

Section: Introductionmentioning

confidence: 99%

A spatial analysis of non‐English Twitter activity in Houston, TX

Haffner

2018

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The use of social media data in geographic studies has become common, yet the question of social media's validity in such contexts is often overlooked. Social media data suffers from a variety of biases and limitations; nevertheless, with a proper understanding of the drawbacks, these data can be powerful. As cities seek to become “smarter,” they can potentially use social media data to creatively address the needs of their most vulnerable groups, such as ethnic minorities. However, questions remain unanswered regarding who uses these social networking platforms, how people use these platforms, and how representative social media data is of users' everyday lives. Using several forms of regression, I explore the relationships between a conventional data source (the U.S. Census) and a subset of Twitter data potentially representative of minority groups: tweets created by users with an account language other than English. A considerable amount of non‐stationarity is uncovered, which should serve as a warning against sweeping statements regarding the demographics of users and where people prefer to post. Further, I find that precisely located Twitter data informs us more about the digital status of places and less about users' day‐to‐day travel patterns.

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Where Does Bicycling for Health Happen? Analysing Volunteered Geographic Information Through Place and Plexus

Cited by 2 publications

References 35 publications

Angler apps as a source of recreational fisheries data: opportunities, challenges and proposed standards

Angler apps as a source of recreational fisheries data: opportunities, challenges and proposed standards

A spatial analysis of non‐English Twitter activity in Houston, TX

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