Crowdsourcing Bicycle Volumes: Exploring the role of volunteered geographic information and established monitoring methods

Griffin, Graeme; Jiao, Junfeng

doi:10.31235/osf.io/e3hbc

Cited by 16 publications

(12 citation statements)

References 21 publications

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“…The data produced by cycling mobile applications are being used to perform mobility analyses in cities. Analyzing the most commonly used routes as well as the origins and destinations will allow policymakers to map out mobility strategies and make decisions based on real data [78,79]. However, self-monitoring bike riding activities are related to a specific context or intent, such as sports and health monitoring [80], which lack some accuracy in data acquisition.…”

Section: Promoting Cycling With Digital Solutions For Sustainabilitymentioning

confidence: 99%

Digital Platform/Mobile App to Boost Cycling for the Promotion of Sustainable Mobility in Mid-Sized Starter Cycling Cities

Meireles

Ribeiro

2020

Sustainability

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According to the United Nations, cities will represent two-thirds of the world's population in 2050, which presents some challenges, especially to the transportation sector. To improve the population's quality of life and the sustainability of cities, mobility must be sustainable, and cycling will play an important role in achieving this. Literature shows that we can promote cycling with better infrastructures, through multimodality, and through behavioral changes. Promoting the use of bicycles through behavior can involve a number of aspects, but in this work, we explore what a digital platform should have in order to promote and increase bicycle usage, as well as to improve cycling conditions in a city. To evaluate what is needed, we conducted an analysis on different types of digital platforms that are available on the market in order to assess the main characteristics and outputs that they provide to cyclists, as well as the type of information that can and should be added to promote the use of bicycles in cities. Moreover, we also carried out a survey in a Portuguese mid-sized "starter cycling city", which showed, among other data, the relevance and type of information that a digital platform dedicated to cyclists should have in such types of cities.

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Section: Promoting Cycling With Digital Solutions For Sustainabilitymentioning

confidence: 99%

Digital Platform/Mobile App to Boost Cycling for the Promotion of Sustainable Mobility in Mid-Sized Starter Cycling Cities

Meireles

Ribeiro

2020

Sustainability

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“…Planners have used crowdsourcing techniques to identify and assess historic structures (Minner, Holleran, Roberts, & Conrad, 2015); collect travel data (Griffin & Jiao 2015), and to assess property conditions (Thompson, 2016). Some scholars suggest that these techniques might support planning in a manner that is convenient to participants and geographically specific, providing useful information to planners (Evans-Cowley & Hollander, 2010;Griffin, 2014;Kahila-Tani, Broberg, Kyttä, & Tyger, 2016).…”

Section: Planning With the Crowdmentioning

confidence: 99%

Crowdsourcing Bike Share Station Locations: Evaluating participation and placement

Griffin¹

2019

Preprint

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Problem, research strategy, and findings: Planners increasingly involve stakeholders in co-producing vital planning information by crowdsourcing data using online map-based commenting platforms. Few studies, however, investigate the role and impact of such online platforms on planning outcomes. We evaluate the impact of participant input via a public participation geographic information system (PPGIS), a platform to suggest the placement of new bike share stations in New York City (NY) and Chicago (IL). We conducted 2 analyses to evaluate how close planners built new bike share stations to those suggested on PPGIS platforms. According to our proximity analysis, only a small percentage of built stations were within 100 feet (30 m) of suggested stations, but our geospatial analysis showed a substantial clustering of suggested and built stations in both cities that was not likely due to random distribution. We found that the PPGIS platforms have great promise for creating genuine co-production of planning knowledge and insights and that system planners did take account of the suggestions offered online. We did not, however, interview planners in either system, and both cities may be atypical, as is bike share planning; moreover, multiple factors influence where bike stations can be located, so not all suggested stations could be built.Takeaway for practice: Planners can use PPGIS and similar platforms to help stakeholders learn by doing and to increase their own local knowledge to improve planning outcomes. Planners should work to develop better online participatory systems and to allow stakeholders to provide more and better data, continuing to evaluate PPGIS efforts to improve the transparency and legitimacy of online public involvement processes.

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Section: Planning With the Crowdmentioning

confidence: 99%

Crowdsourcing Bike Share Station Locations: Evaluating Participation and Placement

Griffin,

Jiao

2018

SSRN Journal

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Problem, Research Strategy, and Findings: Planners increasingly involve stakeholders in co-producing vital planning information by crowdsourcing data using online map-based commenting platforms. Few studies, however, investigate the role and impact of such online platforms on planning outcomes. We evaluate the impact of participant input via a public participation geographic information system, PPGIS, a platform to suggest placement of new bike share stations in New York City and Chicago. We conducted two analyses to evaluate how close planners built new bike share stations to those suggested on PPGIS platforms. Our proximity analysis found that only a small percent of built stations were within 100 ft (30 m) of suggested stations, but our geospatial analysis showed a substantial clustering of suggested and built stations in both cities, not likely due to random distribution. We find that the PPGIS platforms have great promise for creating genuine co-production of planning knowledge and insights and that system planners did take account of the suggestions offered online. We did not, however, interview planners in either system, and both cities may be atypical as is bike share planning; moreover, multiple factors influence where bike stations can be located so that not all suggested stations could be built. Takeaway for Practice: Planners can use PPGIS and similar platforms to help stakeholders learn by doing and to increase their own local knowledge to improve planning outcomes. Planners should work to develop better online participatory systems and to allow stakeholders to provide more and better data, continuing to evaluate PPGIS efforts in order to improve the transparency and legitimacy of online public involvement processes. Keywords bike share; PPGIS; crowdsourcing; co-production Public participation is a critical element in most formal US planning processes. The American Institute of Certified Planners' Code of Ethics and Professional Conduct specifies that planners must "give people the opportunity to have a meaningful impact on the development of plans and programs that may affect them" (AICP, 2016). Planners now widely include digital participation methods in their practice, intensifying questions about the efficacy and legitimacy of citizen input. We assess evidence on how planners use crowdsourcing as a form of

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Crowdsourcing Bicycle Volumes: Exploring the role of volunteered geographic information and established monitoring methods

Cited by 16 publications

References 21 publications

Digital Platform/Mobile App to Boost Cycling for the Promotion of Sustainable Mobility in Mid-Sized Starter Cycling Cities

Digital Platform/Mobile App to Boost Cycling for the Promotion of Sustainable Mobility in Mid-Sized Starter Cycling Cities

Crowdsourcing Bike Share Station Locations: Evaluating participation and placement

Crowdsourcing Bike Share Station Locations: Evaluating Participation and Placement

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