TY  - JOUR
PY  - 2022//
TI  - Exploring informants' perspectives on the role of crowdsourced active travel data
JO  - Transportation planning and technology
A1  - Alattar, Mohammad Anwar
A1  - Cottrill, Caitlin
A1  - Beecroft, Mark
SP  - 226
EP  - 250
VL  - 45
IS  - 3
N2  - In the era of ubiquitous technology, crowdsourced data is an emerging frontier for active travel (AT) studies. In this work, we utilize accrued knowledge from interviews and previous literature regarding crowdsourced data strengths, challenges, usefulness and reliability for future informants who seek to embrace crowdsourced data. We review four main types of crowdsourced data: social fitness networks, in-house developed apps, bike sharing systems and participatory mapping. The strengths of crowdsourced data include providing fine data coverage, precision, details, immediacy and empowering users to participate in decision-making. Potential challenges that might arise from adopting this data are related to technical, privacy, proprietorship, financial and data fragmentation factors. In terms of usefulness, crowdsourced data lend themselves to before and after analysis, assessing current infrastructure, and investment prioritization. Reliability issues that may undermine the credibility of crowdsourced data are also discussed, as well as remedies for these concerns.<p />  <p>Language: en</p>
LA  - en
SN  - 0308-1060
UR  - http://dx.doi.org/10.1080/03081060.2022.2092736
ID  - ref1
ER  -