Whose park? Crowdsourcing citizen's urban green space preferences to inform needs-based management decisions

Subjective values of urban green spaces are difficult to quantify and thus easily overlooked in planning processes. Accounting for such is an important challenge developing sustainable cities. Crowdsourcing methods, as big data smart phone applications, have emerged promising methods improve insights into subjective perceptions preferences. However, we know little about how well these relatively new actually values. We assessed several by comparing observations use (n = 1009) three crowdsourcing one large park Amsterdam, the Netherlands: a dedicated mobile app providing situ stated preferences 377), passive social media 78) municipal reporting 187). show that observed only captured user quantity were not able identify space qualities mental health functions, relaxing or safe location is. The combined with helped priority locations improvement. Our findings emphasize if inadequate measures used city developments, specific groups will continue be