Analyzing fair access to urban green areas using multimodal accessibility measures and spatial prioritization

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dc.contributor.author Jalkanen, Joel
dc.contributor.author Fabritius, Henna
dc.contributor.author Vierikko, Kati
dc.contributor.author Moilanen, Atte
dc.contributor.author Toivonen, Tuuli
dc.date.accessioned 2020-11-20T10:44:02Z
dc.date.available 2020-11-20T10:44:02Z
dc.date.issued 2020-11
dc.identifier.citation Jalkanen , J , Fabritius , H , Vierikko , K , Moilanen , A & Toivonen , T 2020 , ' Analyzing fair access to urban green areas using multimodal accessibility measures and spatial prioritization ' , Applied Geography , vol. 124 , 102320 . https://doi.org/10.1016/j.apgeog.2020.102320
dc.identifier.other PURE: 145424424
dc.identifier.other PURE UUID: 4373d8fc-fa88-4ecf-b6d4-86a489d8cafb
dc.identifier.other WOS: 000581746100018
dc.identifier.other ORCID: /0000-0002-6625-4922/work/83841657
dc.identifier.other ORCID: /0000-0002-6170-9916/work/83841717
dc.identifier.uri http://hdl.handle.net/10138/321766
dc.description.abstract Maintaining enough green areas and ensuring fair access to them is a common planning challenge in growing and densifying cities. Evaluations of green area access typically use metrics like population around green areas (within a certain buffer), but these do not fully ensure equitable access. We propose that using systematic and complementarity-driven spatial prioritization, often used in nature conservation planning, could assist in the complex planning challenge. Here, we demonstrate the use of spatial prioritization to identify green areas with highest recreational potential based on their type and their accessibility for the residents of the Helsinki Metropolitan area, the capital district of Finland. We calculated travel times from each city district to each green area. Travel times were calculated separately to local green areas using active travel modes (walking and biking), and to large forests (attracting people from near and far) using public transport. We prioritized the green areas using these multimodal travel times from each district and weighting the prioritization with population data with Zonation, conservation prioritization software. Compared to a typical buffer analysis (population within a 500 m buffer from green areas), our approach identified areas of high recreational potential in different parts of the study area. This approach allows systematic integration of travel-time-based accessibility measures into equitable spatial prioritization of recreational green areas. It can help urban planners to identify sets of green areas that best support the recreational needs of the residents across the city. en
dc.format.extent 11
dc.language.iso eng
dc.relation.ispartof Applied Geography
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject Accessibility
dc.subject BIODIVERSITY
dc.subject CITIES
dc.subject CONSERVATION PRIORITIZATION
dc.subject ENVIRONMENTAL JUSTICE
dc.subject Equitability
dc.subject Green spaces
dc.subject IDENTIFICATION
dc.subject PARKS
dc.subject PUBLIC-HEALTH
dc.subject Recreation
dc.subject SPACE
dc.subject Travel mode
dc.subject URBANIZATION
dc.subject YOUNG-PEOPLE
dc.subject Zonation software
dc.subject 519 Social and economic geography
dc.title Analyzing fair access to urban green areas using multimodal accessibility measures and spatial prioritization en
dc.type Article
dc.contributor.organization Digital Geography Lab
dc.contributor.organization Department of Geosciences and Geography
dc.contributor.organization Finnish Museum of Natural History
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1016/j.apgeog.2020.102320
dc.relation.issn 0143-6228
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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