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Integrating subsurface data into urban planning for climate adaptation using land administration domain model part 5.

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Title: Integrating subsurface data into urban planning for climate adaptation using land administration domain model part 5.
Authors: Tarozzo Kawasaki, Maria Luisa1 (AUTHOR) maria_luisa.tarozzokawasaki@tno.nl, Thomas, Laura2 (AUTHOR), Hackauf, Ulf2 (AUTHOR), van der Krogt, Rob1 (AUTHOR), Visser, Wilfred1 (AUTHOR), van Oosterom, Peter2 (AUTHOR)
Source: Survey Review. Nov2025, Vol. 57 Issue 405, p523-538. 16p.
Subjects: Climate change adaptation, Urban planning, Environmental protection planning, Digital technology, Information sharing, Standardization, Land management, Geospatial data
Geographic Terms: Netherlands
Abstract: In 2022, the Netherlands introduced 'water and soil' as a guiding principle for spatial planning, aiding the country's goal for climate resilience by 2050. Applying it requires integrating subsurface data, spatial planning, and climate adaptation. Despite existing subsurface models, no cohesive approach links them to spatial planning. This paper assesses current models and identifies data requirements. Key barriers include data accessibility and standardization. To address this, plan information was standardized using a proposed Land Administration Domain Model (LADM) Part 5 climate adaptation profile. Additionally, a digital tool, CLIMACAT, was developed to make relevant subsurface data accessible for climate adaptation design. [ABSTRACT FROM AUTHOR]
Copyright of Survey Review is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 189686148
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Integrating subsurface data into urban planning for climate adaptation using land administration domain model part 5.
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  Data: <searchLink fieldCode="AR" term="%22Tarozzo+Kawasaki%2C+Maria+Luisa%22">Tarozzo Kawasaki, Maria Luisa</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> maria_luisa.tarozzokawasaki@tno.nl</i><br /><searchLink fieldCode="AR" term="%22Thomas%2C+Laura%22">Thomas, Laura</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hackauf%2C+Ulf%22">Hackauf, Ulf</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+der+Krogt%2C+Rob%22">van der Krogt, Rob</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Visser%2C+Wilfred%22">Visser, Wilfred</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+Oosterom%2C+Peter%22">van Oosterom, Peter</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Survey+Review%22">Survey Review</searchLink>. Nov2025, Vol. 57 Issue 405, p523-538. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Climate+change+adaptation%22">Climate change adaptation</searchLink><br /><searchLink fieldCode="DE" term="%22Urban+planning%22">Urban planning</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+protection+planning%22">Environmental protection planning</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Information+sharing%22">Information sharing</searchLink><br /><searchLink fieldCode="DE" term="%22Standardization%22">Standardization</searchLink><br /><searchLink fieldCode="DE" term="%22Land+management%22">Land management</searchLink><br /><searchLink fieldCode="DE" term="%22Geospatial+data%22">Geospatial data</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Netherlands%22">Netherlands</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: In 2022, the Netherlands introduced 'water and soil' as a guiding principle for spatial planning, aiding the country's goal for climate resilience by 2050. Applying it requires integrating subsurface data, spatial planning, and climate adaptation. Despite existing subsurface models, no cohesive approach links them to spatial planning. This paper assesses current models and identifies data requirements. Key barriers include data accessibility and standardization. To address this, plan information was standardized using a proposed Land Administration Domain Model (LADM) Part 5 climate adaptation profile. Additionally, a digital tool, CLIMACAT, was developed to make relevant subsurface data accessible for climate adaptation design. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Survey Review is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/00396265.2025.2539606
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 523
    Subjects:
      – SubjectFull: Climate change adaptation
        Type: general
      – SubjectFull: Urban planning
        Type: general
      – SubjectFull: Environmental protection planning
        Type: general
      – SubjectFull: Digital technology
        Type: general
      – SubjectFull: Information sharing
        Type: general
      – SubjectFull: Standardization
        Type: general
      – SubjectFull: Land management
        Type: general
      – SubjectFull: Geospatial data
        Type: general
      – SubjectFull: Netherlands
        Type: general
    Titles:
      – TitleFull: Integrating subsurface data into urban planning for climate adaptation using land administration domain model part 5.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Tarozzo Kawasaki, Maria Luisa
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          Name:
            NameFull: Thomas, Laura
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            NameFull: Hackauf, Ulf
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            NameFull: van der Krogt, Rob
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            NameFull: Visser, Wilfred
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            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
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              Value: 57
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              Value: 405
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            – TitleFull: Survey Review
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