Analytical framework to evaluate the level of integration of climate adaptation and mitigation in cities View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-25

AUTHORS

Stelios Grafakos, Kate Trigg, Mia Landauer, Lorenzo Chelleri, Shobhakar Dhakal

ABSTRACT

Reduction of carbon emissions and climate-resilience in cities are becoming important objectives to be achieved in order to ensure sustainable urban development pathways. Traditionally, cities have treated climate mitigation and adaptation strategies in isolation, without addressing their potential synergies, conflicts or trade-offs. Recent studies have shown that this can lead to inefficiencies in urban planning, conflicting policy objectives and lost opportunities for synergistic actions. However, in the last few years, we have observed that cities are increasingly moving towards addressing both mitigation and adaptation in urban planning. Cities need to pay particular attention and understand the rationale of both policy objectives whilst considering the integration of the two policies in urban planning and decision-making. This study presents an analytical framework to evaluate the level of integration of climate mitigation and adaptation in cities’ local climate action plans. We tested this framework in nine selected major cities, representatives from all inhabited continents, which are frontrunners in climate action both in their regions and globally. We applied the framework in order to evaluate the level of mitigation and adaptation integration in cities’ CCAPs and further explored the different types of mitigation—adaptation interrelationships that have been considered. A scoring system was also devised in order to allow comparing and ranking of the different CCAPs for their level of integration of adaptation and mitigation. The paper draws good practices to support cities in developing climate change action plans in an integrated way. More... »

PAGES

1-20

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10584-019-02394-w

DOI

http://dx.doi.org/10.1007/s10584-019-02394-w

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112990142


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Human Geography", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/16", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Studies in Human Society", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Erasmus University Rotterdam", 
          "id": "https://www.grid.ac/institutes/grid.6906.9", 
          "name": [
            "Institute for Housing and Urban Development Studies (IHS), Erasmus University Rotterdam (EUR), Burgemeester Oudlaan 50, Rotterdam, The Netherlands", 
            "Global Green Growth Institute (GGGI), 21 -15 Jeongdong-gil, Jung-gu, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Grafakos", 
        "givenName": "Stelios", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Erasmus University Rotterdam", 
          "id": "https://www.grid.ac/institutes/grid.6906.9", 
          "name": [
            "Institute for Housing and Urban Development Studies (IHS), Erasmus University Rotterdam (EUR), Burgemeester Oudlaan 50, Rotterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Trigg", 
        "givenName": "Kate", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "International Institute for Applied Systems Analysis", 
          "id": "https://www.grid.ac/institutes/grid.75276.31", 
          "name": [
            "Arctic Centre, University of Lapland, Pohjoisranta 4, 96101, Rovaniemi, Finland", 
            "International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Landauer", 
        "givenName": "Mia", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "International University Of Catalonia", 
          "id": "https://www.grid.ac/institutes/grid.410675.1", 
          "name": [
            "School of Architecture, Universitat Internacional de Catalunya (UIC), Carrer de la Immaculada 22, 08017, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chelleri", 
        "givenName": "Lorenzo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Asian Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.418142.a", 
          "name": [
            "Department of Energy, Environment & Climate Change, Asian Institute of Technology (AIT), 12120, Klong Luang, Pathumthani, Thailand"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dhakal", 
        "givenName": "Shobhakar", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10584-012-0398-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000234767", 
          "https://doi.org/10.1007/s10584-012-0398-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fcr.2012.02.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001182269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10668-016-9891-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002570073", 
          "https://doi.org/10.1007/s10668-016-9891-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10668-016-9891-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002570073", 
          "https://doi.org/10.1007/s10668-016-9891-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3763/ghgmm.2010.0001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002824866"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/14693062.2015.1015946", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005475523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/su8050461", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006515815"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsci.2005.06.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006790307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsci.2005.06.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006790307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.uclim.2015.06.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007081928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsci.2016.06.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007088137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0135597", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007197343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0956247814550780", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008226265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0956247814550780", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008226265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rser.2014.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008577743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.aag2514", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008835586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-015-1395-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009245184", 
          "https://doi.org/10.1007/s10584-015-1395-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01944363.2010.509703", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011894197"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jenvman.2014.07.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013603304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gloenvcha.2014.01.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014028523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gloenvcha.2009.11.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014222621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.landusepol.2015.09.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015369747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-17700-2_8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016832726", 
          "https://doi.org/10.1007/978-3-642-17700-2_8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-17700-2_8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016832726", 
          "https://doi.org/10.1007/978-3-642-17700-2_8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gloenvcha.2015.07.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017968813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agsy.2003.06.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020108707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gloenvcha.2009.11.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021444855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsci.2014.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023153008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0912248107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023771126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11027-013-9538-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026567666", 
          "https://doi.org/10.1007/s11027-013-9538-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1027699580", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4324/9780203219256", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027699580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00267-014-0331-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028722458", 
          "https://doi.org/10.1007/s00267-014-0331-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00267-014-0331-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028722458", 
          "https://doi.org/10.1007/s00267-014-0331-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0305829814561773", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029013053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0305829814561773", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029013053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agee.2013.02.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029683930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1007887107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029915296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.landurbplan.2012.05.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033453089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsci.2005.06.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036717238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0956247813501121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038198848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0956247813501121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038198848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-013-0846-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039265105", 
          "https://doi.org/10.1007/s10584-013-0846-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0956247813477814", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040047735"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0956247813477814", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040047735"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-014-1214-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043039596", 
          "https://doi.org/10.1007/s10584-014-1214-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jue.2011.12.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043681275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/rec.12209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045265040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.landusepol.2009.09.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048284720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecoser.2014.11.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049489153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gloenvcha.2012.07.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051133200"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.clipol.2003.10.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052511010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.enpol.2009.06.070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052887447"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsci.2005.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053277174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsci.2005.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053277174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1680/muen.2006.159.4.185", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068239308"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18848/1835-7156/cgp/v05i02/37199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068711426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3763/cpol.2007.0714", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071381496"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2017.02.234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084107840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jclepro.2017.05.165", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085605077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.17528/cifor/006106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098660906"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01944363.2017.1404486", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100466537"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jclepro.2018.03.220", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101779173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09640568.2018.1430022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103153298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/9781316563878.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103360944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsci.2018.04.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103949428"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1596/978-0-8213-7619-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109170254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-72026-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110287646", 
          "https://doi.org/10.1007/978-3-319-72026-5"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03-25", 
    "datePublishedReg": "2019-03-25", 
    "description": "Reduction of carbon emissions and climate-resilience in cities are becoming important objectives to be achieved in order to ensure sustainable urban development pathways. Traditionally, cities have treated climate mitigation and adaptation strategies in isolation, without addressing their potential synergies, conflicts or trade-offs. Recent studies have shown that this can lead to inefficiencies in urban planning, conflicting policy objectives and lost opportunities for synergistic actions. However, in the last few years, we have observed that cities are increasingly moving towards addressing both mitigation and adaptation in urban planning. Cities need to pay particular attention and understand the rationale of both policy objectives whilst considering the integration of the two policies in urban planning and decision-making. This study presents an analytical framework to evaluate the level of integration of climate mitigation and adaptation in cities\u2019 local climate action plans. We tested this framework in nine selected major cities, representatives from all inhabited continents, which are frontrunners in climate action both in their regions and globally. We applied the framework in order to evaluate the level of mitigation and adaptation integration in cities\u2019 CCAPs and further explored the different types of mitigation\u2014adaptation interrelationships that have been considered. A scoring system was also devised in order to allow comparing and ranking of the different CCAPs for their level of integration of adaptation and mitigation. The paper draws good practices to support cities in developing climate change action plans in an integrated way.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10584-019-02394-w", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1028211", 
        "issn": [
          "0165-0009", 
          "1573-1480"
        ], 
        "name": "Climatic Change", 
        "type": "Periodical"
      }
    ], 
    "name": "Analytical framework to evaluate the level of integration of climate adaptation and mitigation in cities", 
    "pagination": "1-20", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "cd27f27f66df793010fa08a4dc0d99e45c74d9b2a4f34d947bb5d02ab9a7f8af"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10584-019-02394-w"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112990142"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10584-019-02394-w", 
      "https://app.dimensions.ai/details/publication/pub.1112990142"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:05", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000366_0000000366/records_112069_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10584-019-02394-w"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10584-019-02394-w'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10584-019-02394-w'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10584-019-02394-w'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10584-019-02394-w'


 

This table displays all metadata directly associated to this object as RDF triples.

274 TRIPLES      21 PREDICATES      83 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10584-019-02394-w schema:about anzsrc-for:16
2 anzsrc-for:1604
3 schema:author Nbe5e7d4d3f134c6c8acfa41f3ba6afcd
4 schema:citation sg:pub.10.1007/978-3-319-72026-5
5 sg:pub.10.1007/978-3-642-17700-2_8
6 sg:pub.10.1007/s00267-014-0331-x
7 sg:pub.10.1007/s10584-012-0398-4
8 sg:pub.10.1007/s10584-013-0846-9
9 sg:pub.10.1007/s10584-014-1214-0
10 sg:pub.10.1007/s10584-015-1395-1
11 sg:pub.10.1007/s10668-016-9891-7
12 sg:pub.10.1007/s11027-013-9538-z
13 https://app.dimensions.ai/details/publication/pub.1027699580
14 https://doi.org/10.1016/j.agee.2013.02.003
15 https://doi.org/10.1016/j.agsy.2003.06.002
16 https://doi.org/10.1016/j.clipol.2003.10.006
17 https://doi.org/10.1016/j.ecoser.2014.11.013
18 https://doi.org/10.1016/j.enpol.2009.06.070
19 https://doi.org/10.1016/j.envsci.2005.06.010
20 https://doi.org/10.1016/j.envsci.2005.06.011
21 https://doi.org/10.1016/j.envsci.2005.06.012
22 https://doi.org/10.1016/j.envsci.2014.06.003
23 https://doi.org/10.1016/j.envsci.2016.06.009
24 https://doi.org/10.1016/j.envsci.2018.04.010
25 https://doi.org/10.1016/j.fcr.2012.02.023
26 https://doi.org/10.1016/j.gloenvcha.2009.11.004
27 https://doi.org/10.1016/j.gloenvcha.2009.11.009
28 https://doi.org/10.1016/j.gloenvcha.2012.07.005
29 https://doi.org/10.1016/j.gloenvcha.2014.01.002
30 https://doi.org/10.1016/j.gloenvcha.2015.07.009
31 https://doi.org/10.1016/j.jclepro.2017.05.165
32 https://doi.org/10.1016/j.jclepro.2018.03.220
33 https://doi.org/10.1016/j.jenvman.2014.07.025
34 https://doi.org/10.1016/j.jue.2011.12.004
35 https://doi.org/10.1016/j.landurbplan.2012.05.009
36 https://doi.org/10.1016/j.landusepol.2009.09.012
37 https://doi.org/10.1016/j.landusepol.2015.09.003
38 https://doi.org/10.1016/j.rser.2014.06.012
39 https://doi.org/10.1016/j.scitotenv.2017.02.234
40 https://doi.org/10.1016/j.uclim.2015.06.005
41 https://doi.org/10.1017/9781316563878.014
42 https://doi.org/10.1073/pnas.0912248107
43 https://doi.org/10.1073/pnas.1007887107
44 https://doi.org/10.1080/01944363.2010.509703
45 https://doi.org/10.1080/01944363.2017.1404486
46 https://doi.org/10.1080/09640568.2018.1430022
47 https://doi.org/10.1080/14693062.2015.1015946
48 https://doi.org/10.1111/rec.12209
49 https://doi.org/10.1126/science.aag2514
50 https://doi.org/10.1177/0305829814561773
51 https://doi.org/10.1177/0956247813477814
52 https://doi.org/10.1177/0956247813501121
53 https://doi.org/10.1177/0956247814550780
54 https://doi.org/10.1371/journal.pone.0135597
55 https://doi.org/10.1596/978-0-8213-7619-5
56 https://doi.org/10.1680/muen.2006.159.4.185
57 https://doi.org/10.17528/cifor/006106
58 https://doi.org/10.18848/1835-7156/cgp/v05i02/37199
59 https://doi.org/10.3390/su8050461
60 https://doi.org/10.3763/cpol.2007.0714
61 https://doi.org/10.3763/ghgmm.2010.0001
62 https://doi.org/10.4324/9780203219256
63 schema:datePublished 2019-03-25
64 schema:datePublishedReg 2019-03-25
65 schema:description Reduction of carbon emissions and climate-resilience in cities are becoming important objectives to be achieved in order to ensure sustainable urban development pathways. Traditionally, cities have treated climate mitigation and adaptation strategies in isolation, without addressing their potential synergies, conflicts or trade-offs. Recent studies have shown that this can lead to inefficiencies in urban planning, conflicting policy objectives and lost opportunities for synergistic actions. However, in the last few years, we have observed that cities are increasingly moving towards addressing both mitigation and adaptation in urban planning. Cities need to pay particular attention and understand the rationale of both policy objectives whilst considering the integration of the two policies in urban planning and decision-making. This study presents an analytical framework to evaluate the level of integration of climate mitigation and adaptation in cities’ local climate action plans. We tested this framework in nine selected major cities, representatives from all inhabited continents, which are frontrunners in climate action both in their regions and globally. We applied the framework in order to evaluate the level of mitigation and adaptation integration in cities’ CCAPs and further explored the different types of mitigation—adaptation interrelationships that have been considered. A scoring system was also devised in order to allow comparing and ranking of the different CCAPs for their level of integration of adaptation and mitigation. The paper draws good practices to support cities in developing climate change action plans in an integrated way.
66 schema:genre research_article
67 schema:inLanguage en
68 schema:isAccessibleForFree false
69 schema:isPartOf sg:journal.1028211
70 schema:name Analytical framework to evaluate the level of integration of climate adaptation and mitigation in cities
71 schema:pagination 1-20
72 schema:productId N19d89f363c7742c5b04a0fbc900f11c7
73 N2b04f50f9e234a858096b272e5e4e0e2
74 Nf57df95d2a86478eba6143a2e7ec04fe
75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112990142
76 https://doi.org/10.1007/s10584-019-02394-w
77 schema:sdDatePublished 2019-04-11T13:05
78 schema:sdLicense https://scigraph.springernature.com/explorer/license/
79 schema:sdPublisher N6fd76cf5576c4f8087c84b34ea94cf35
80 schema:url https://link.springer.com/10.1007%2Fs10584-019-02394-w
81 sgo:license sg:explorer/license/
82 sgo:sdDataset articles
83 rdf:type schema:ScholarlyArticle
84 N0897a751ddd846619ef8864e4cc9d8fc rdf:first N345f8378fa954c3db5ca9836670c2911
85 rdf:rest rdf:nil
86 N19d89f363c7742c5b04a0fbc900f11c7 schema:name readcube_id
87 schema:value cd27f27f66df793010fa08a4dc0d99e45c74d9b2a4f34d947bb5d02ab9a7f8af
88 rdf:type schema:PropertyValue
89 N2b04f50f9e234a858096b272e5e4e0e2 schema:name dimensions_id
90 schema:value pub.1112990142
91 rdf:type schema:PropertyValue
92 N339d5fd9488a4d259ff9ea94ce6e8506 schema:affiliation https://www.grid.ac/institutes/grid.6906.9
93 schema:familyName Trigg
94 schema:givenName Kate
95 rdf:type schema:Person
96 N345f8378fa954c3db5ca9836670c2911 schema:affiliation https://www.grid.ac/institutes/grid.418142.a
97 schema:familyName Dhakal
98 schema:givenName Shobhakar
99 rdf:type schema:Person
100 N3c58f984895e4f2baa2e7941b187b2a6 rdf:first N339d5fd9488a4d259ff9ea94ce6e8506
101 rdf:rest N779915f6b25e49d59ffc21b6e38d2f46
102 N682350dbc4754ea3a3fccf1935e24917 schema:affiliation https://www.grid.ac/institutes/grid.6906.9
103 schema:familyName Grafakos
104 schema:givenName Stelios
105 rdf:type schema:Person
106 N6fd76cf5576c4f8087c84b34ea94cf35 schema:name Springer Nature - SN SciGraph project
107 rdf:type schema:Organization
108 N779915f6b25e49d59ffc21b6e38d2f46 rdf:first Nf489c179386d4f4585bc809417c07ba5
109 rdf:rest Nf9eff19143ec4042b040939f9ec144f4
110 Nb6257dfe3db44fb1a033d452045de95d schema:affiliation https://www.grid.ac/institutes/grid.410675.1
111 schema:familyName Chelleri
112 schema:givenName Lorenzo
113 rdf:type schema:Person
114 Nbe5e7d4d3f134c6c8acfa41f3ba6afcd rdf:first N682350dbc4754ea3a3fccf1935e24917
115 rdf:rest N3c58f984895e4f2baa2e7941b187b2a6
116 Nf489c179386d4f4585bc809417c07ba5 schema:affiliation https://www.grid.ac/institutes/grid.75276.31
117 schema:familyName Landauer
118 schema:givenName Mia
119 rdf:type schema:Person
120 Nf57df95d2a86478eba6143a2e7ec04fe schema:name doi
121 schema:value 10.1007/s10584-019-02394-w
122 rdf:type schema:PropertyValue
123 Nf9eff19143ec4042b040939f9ec144f4 rdf:first Nb6257dfe3db44fb1a033d452045de95d
124 rdf:rest N0897a751ddd846619ef8864e4cc9d8fc
125 anzsrc-for:16 schema:inDefinedTermSet anzsrc-for:
126 schema:name Studies in Human Society
127 rdf:type schema:DefinedTerm
128 anzsrc-for:1604 schema:inDefinedTermSet anzsrc-for:
129 schema:name Human Geography
130 rdf:type schema:DefinedTerm
131 sg:journal.1028211 schema:issn 0165-0009
132 1573-1480
133 schema:name Climatic Change
134 rdf:type schema:Periodical
135 sg:pub.10.1007/978-3-319-72026-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110287646
136 https://doi.org/10.1007/978-3-319-72026-5
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/978-3-642-17700-2_8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016832726
139 https://doi.org/10.1007/978-3-642-17700-2_8
140 rdf:type schema:CreativeWork
141 sg:pub.10.1007/s00267-014-0331-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028722458
142 https://doi.org/10.1007/s00267-014-0331-x
143 rdf:type schema:CreativeWork
144 sg:pub.10.1007/s10584-012-0398-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000234767
145 https://doi.org/10.1007/s10584-012-0398-4
146 rdf:type schema:CreativeWork
147 sg:pub.10.1007/s10584-013-0846-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039265105
148 https://doi.org/10.1007/s10584-013-0846-9
149 rdf:type schema:CreativeWork
150 sg:pub.10.1007/s10584-014-1214-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043039596
151 https://doi.org/10.1007/s10584-014-1214-0
152 rdf:type schema:CreativeWork
153 sg:pub.10.1007/s10584-015-1395-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009245184
154 https://doi.org/10.1007/s10584-015-1395-1
155 rdf:type schema:CreativeWork
156 sg:pub.10.1007/s10668-016-9891-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002570073
157 https://doi.org/10.1007/s10668-016-9891-7
158 rdf:type schema:CreativeWork
159 sg:pub.10.1007/s11027-013-9538-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1026567666
160 https://doi.org/10.1007/s11027-013-9538-z
161 rdf:type schema:CreativeWork
162 https://app.dimensions.ai/details/publication/pub.1027699580 schema:CreativeWork
163 https://doi.org/10.1016/j.agee.2013.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029683930
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.agsy.2003.06.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020108707
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.clipol.2003.10.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052511010
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.ecoser.2014.11.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049489153
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.enpol.2009.06.070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052887447
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.envsci.2005.06.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036717238
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.envsci.2005.06.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006790307
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.envsci.2005.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053277174
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/j.envsci.2014.06.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023153008
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.envsci.2016.06.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007088137
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/j.envsci.2018.04.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103949428
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/j.fcr.2012.02.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001182269
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/j.gloenvcha.2009.11.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014222621
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/j.gloenvcha.2009.11.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021444855
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/j.gloenvcha.2012.07.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051133200
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/j.gloenvcha.2014.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014028523
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1016/j.gloenvcha.2015.07.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017968813
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1016/j.jclepro.2017.05.165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085605077
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1016/j.jclepro.2018.03.220 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101779173
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1016/j.jenvman.2014.07.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013603304
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1016/j.jue.2011.12.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043681275
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1016/j.landurbplan.2012.05.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033453089
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1016/j.landusepol.2009.09.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048284720
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1016/j.landusepol.2015.09.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015369747
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/j.rser.2014.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008577743
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/j.scitotenv.2017.02.234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084107840
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1016/j.uclim.2015.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007081928
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1017/9781316563878.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103360944
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1073/pnas.0912248107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023771126
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1073/pnas.1007887107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029915296
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1080/01944363.2010.509703 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011894197
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1080/01944363.2017.1404486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100466537
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1080/09640568.2018.1430022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103153298
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1080/14693062.2015.1015946 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005475523
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1111/rec.12209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045265040
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1126/science.aag2514 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008835586
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1177/0305829814561773 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029013053
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1177/0956247813477814 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040047735
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1177/0956247813501121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038198848
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1177/0956247814550780 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008226265
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1371/journal.pone.0135597 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007197343
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1596/978-0-8213-7619-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109170254
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1680/muen.2006.159.4.185 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068239308
248 rdf:type schema:CreativeWork
249 https://doi.org/10.17528/cifor/006106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098660906
250 rdf:type schema:CreativeWork
251 https://doi.org/10.18848/1835-7156/cgp/v05i02/37199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068711426
252 rdf:type schema:CreativeWork
253 https://doi.org/10.3390/su8050461 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006515815
254 rdf:type schema:CreativeWork
255 https://doi.org/10.3763/cpol.2007.0714 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071381496
256 rdf:type schema:CreativeWork
257 https://doi.org/10.3763/ghgmm.2010.0001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002824866
258 rdf:type schema:CreativeWork
259 https://doi.org/10.4324/9780203219256 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027699580
260 rdf:type schema:CreativeWork
261 https://www.grid.ac/institutes/grid.410675.1 schema:alternateName International University Of Catalonia
262 schema:name School of Architecture, Universitat Internacional de Catalunya (UIC), Carrer de la Immaculada 22, 08017, Barcelona, Spain
263 rdf:type schema:Organization
264 https://www.grid.ac/institutes/grid.418142.a schema:alternateName Asian Institute of Technology
265 schema:name Department of Energy, Environment & Climate Change, Asian Institute of Technology (AIT), 12120, Klong Luang, Pathumthani, Thailand
266 rdf:type schema:Organization
267 https://www.grid.ac/institutes/grid.6906.9 schema:alternateName Erasmus University Rotterdam
268 schema:name Global Green Growth Institute (GGGI), 21 -15 Jeongdong-gil, Jung-gu, Seoul, South Korea
269 Institute for Housing and Urban Development Studies (IHS), Erasmus University Rotterdam (EUR), Burgemeester Oudlaan 50, Rotterdam, The Netherlands
270 rdf:type schema:Organization
271 https://www.grid.ac/institutes/grid.75276.31 schema:alternateName International Institute for Applied Systems Analysis
272 schema:name Arctic Centre, University of Lapland, Pohjoisranta 4, 96101, Rovaniemi, Finland
273 International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria
274 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...