IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v6y2014i4p612-639d41626.html
   My bibliography  Save this article

From Raw Data to Meaningful Information: A Representational Approach to Cadastral Databases in Relation to Urban Planning

Author

Listed:
  • Francesc Valls Dalmau

    (Department of Architectural Representation and Visual Analysis I, Universitat Politècnica de Catalunya, 649 Diagonal Av., Barcelona 08028, Spain)

  • Pilar Garcia-Almirall

    (Department of Architectural Technology I, Universitat Politècnica de Catalunya, 649 Diagonal Av., Barcelona 08028, Spain)

  • Ernest Redondo Domínguez

    (Department of Architectural Representation and Visual Analysis I, Universitat Politècnica de Catalunya, 649 Diagonal Av., Barcelona 08028, Spain)

  • David Fonseca Escudero

    (Architecture Department, La Salle Campus Barcelona, Ramon Llull University, 2 Quatre Camins St., Barcelona 08022, Spain)

Abstract

Digesting the data hose that cities are constantly producing is complex; data is usually structured with different criteria, which makes comparative analysis of multiple cities challenging. However, the publicly available data from the Spanish cadaster contains urban information in a documented format with common semantics for the whole territory, which makes these analyses possible. This paper uses the information about the 3D geometry of buildings, their use and their year of construction, stored in cadastral databases, to study the relation between the built environment (what the city is) and the urban plan (what the city wants to become), translating the concepts of the cadastral data into the semantics of the urban plan. Different representation techniques to better understand the city from the pedestrians’ point of view and to communicate this information more effectively are also discussed.

Suggested Citation

  • Francesc Valls Dalmau & Pilar Garcia-Almirall & Ernest Redondo Domínguez & David Fonseca Escudero, 2014. "From Raw Data to Meaningful Information: A Representational Approach to Cadastral Databases in Relation to Urban Planning," Future Internet, MDPI, vol. 6(4), pages 1-28, October.
    • Handle: RePEc:gam:jftint:v:6:y:2014:i:4:p:612-639:d:41626
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/6/4/612/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/6/4/612/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Philip Salesses & Katja Schechtner & César A Hidalgo, 2013. "The Collaborative Image of The City: Mapping the Inequality of Urban Perception," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-12, July.
    2. Power, Anne, 2008. "Does demolition or refurbishment of old and inefficient homes help to increase our environmental, social and economic viability?," Energy Policy, Elsevier, vol. 36(12), pages 4487-4501, December.
    3. Daniel B. Carr & Denis White & Alan M. MacEachren, 2005. "Conditioned Choropleth Maps and Hypothesis Generation," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 95(1), pages 32-53, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ioanna Arkoudi & Carlos Lima Azevedo & Francisco C. Pereira, 2021. "Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance," Papers 2109.12042, arXiv.org, revised Sep 2021.
    2. Edward L. Glaeser & Scott Duke Kominers & Michael Luca & Nikhil Naik, 2018. "Big Data And Big Cities: The Promises And Limitations Of Improved Measures Of Urban Life," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 114-137, January.
    3. Been, Vicki & Ellen, Ingrid Gould & Gedal, Michael & Glaeser, Edward & McCabe, Brian J., 2016. "Preserving history or restricting development? The heterogeneous effects of historic districts on local housing markets in New York City," Journal of Urban Economics, Elsevier, vol. 92(C), pages 16-30.
    4. Galdo, Virgilio & Li, Yue & Rama, Martin, 2021. "Identifying urban areas by combining human judgment and machine learning: An application to India," Journal of Urban Economics, Elsevier, vol. 125(C).
    5. Shiyao Zhu & Dezhi Li & Haibo Feng & Tiantian Gu & Jiawei Zhu, 2019. "AHP-TOPSIS-Based Evaluation of the Relative Performance of Multiple Neighborhood Renewal Projects: A Case Study in Nanjing, China," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    6. Belotti, Alice, 2016. "Estate regeneration and community impacts: challenges and lessons for social landlords, developers and local councils," LSE Research Online Documents on Economics 121480, London School of Economics and Political Science, LSE Library.
    7. Hamza, Neveen & Gilroy, Rose, 2011. "The challenge to UK energy policy: An ageing population perspective on energy saving measures and consumption," Energy Policy, Elsevier, vol. 39(2), pages 782-789, February.
    8. Cem Çağrı Dönmez & Abdulkadir Atalan, 2019. "Developing Statistical Optimization Models for Urban Competitiveness Index: Under the Boundaries of Econophysics Approach," Complexity, Hindawi, vol. 2019, pages 1-11, November.
    9. Deakin, Mark & Campbell, Fiona & Reid, Alasdair, 2012. "The mass-retrofitting of an energy efficient-low carbon zone: Baselining the urban regeneration strategy, vision, masterplan and redevelopment scheme," Energy Policy, Elsevier, vol. 45(C), pages 187-200.
    10. Mohamed R Ibrahim & James Haworth & Tao Cheng, 2021. "URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision," Environment and Planning B, , vol. 48(1), pages 76-93, January.
    11. Jian Gao & Tao Zhou, 2017. "Quantifying China's Regional Economic Complexity," Papers 1703.01292, arXiv.org, revised Nov 2017.
    12. Spyridon Spyratos & Demetris Stathakis, 2018. "Evaluating the services and facilities of European cities using crowdsourced place data," Environment and Planning B, , vol. 45(4), pages 733-750, July.
    13. Nessa Winston, 2022. "Sustainable community development: Integrating social and environmental sustainability for sustainable housing and communities," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 191-202, February.
    14. Nikhil Naik & Scott Duke Kominers & Ramesh Raskar & Edward L. Glaeser & César A. Hidalgo, 2015. "Do People Shape Cities, or Do Cities Shape People? The Co-evolution of Physical, Social, and Economic Change in Five Major U.S. Cities," NBER Working Papers 21620, National Bureau of Economic Research, Inc.
    15. Laura Lane & Anne Power, 2010. "Housing Futures: our homes and communities. A report for the Federation of Master Builders," CASE Reports casereport63, Centre for Analysis of Social Exclusion, LSE.
    16. Michael Crilly & Mark Lemon & Andrew J Wright & Matthew B Cook & David Shaw, 2012. "Retrofitting Homes for Energy Efficiency: An Integrated Approach to Innovation in the Low-Carbon Overhaul of Uk Social Housing," Energy & Environment, , vol. 23(6-7), pages 1027-1055, October.
    17. Schwartz, Yair & Raslan, Rokia & Mumovic, Dejan, 2022. "Refurbish or replace? The Life Cycle Carbon Footprint and Life Cycle Cost of Refurbished and New Residential Archetype Buildings in London," Energy, Elsevier, vol. 248(C).
    18. Power, Anne, 2012. "Social inequality, disadvantaged neighbourhoods and transport deprivation: an assessment of the historical influence of housing policies," Journal of Transport Geography, Elsevier, vol. 21(C), pages 39-48.
    19. Zhaoya Gong & Qiwei Ma & Changcheng Kan & Qianyun Qi, 2019. "Classifying Street Spaces with Street View Images for a Spatial Indicator of Urban Functions," Sustainability, MDPI, vol. 11(22), pages 1-17, November.
    20. Hae Young Yun & Hyun-ah Kwon, 2023. "Neighborhood Identity Formation and the Changes in an Urban Regeneration Neighborhood in Gwangju, Korea," Sustainability, MDPI, vol. 15(15), pages 1-27, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:6:y:2014:i:4:p:612-639:d:41626. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.