Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/diw/diwsop/diw_sp1067.html
   My bibliography  Save this paper

Inferring Floor Area Ratio Thresholds for the Delineation of City Centers Based on Cognitive Perception

Author

Listed:
  • Michael Wurm
  • Jan Goebel
  • Gert G. Wagner
  • Matthias Weigand
  • Stefan Dech
  • Hannes Taubenböck
Abstract
The morphology of today’s cities is the result of historic urban developments and ongoing urban transformation resulting in complex urban spatial structures. While functionally as well as spatially, cities are structured into sub-units such as the city center, business districts, residential areas or industrial and commercial zones, their precise localization in the geographic space is sometimes difficult. City centers in particular are difficult to grasp because they stand for many different urban functions. Generally, they are characterized as areas of high densities, such as employment, population or commerce, but also as areas of high structural densities. In past studies, various approaches, data and cut-off values have been presented to separate city centers from the surrounding transition zones in geographical information systems based on density values. To overcome the difficulty in defining the right density threshold, the current study presents an approach which integrates the subjective perception of citizens on the urban spatial structure and relate it to the floor area ratio to delineate city centers to infer a characteristic density threshold. In a large empirical study for 67 monocentric cities in Germany we observe a decreasing floor area ratio gradient towards the urban fringes. The result of the study reveals a relative threshold for city centers at around 30% of the density of the ‘central place’

Suggested Citation

  • Michael Wurm & Jan Goebel & Gert G. Wagner & Matthias Weigand & Stefan Dech & Hannes Taubenböck, 2020. "Inferring Floor Area Ratio Thresholds for the Delineation of City Centers Based on Cognitive Perception," SOEPpapers on Multidisciplinary Panel Data Research 1067, DIW Berlin, The German Socio-Economic Panel (SOEP).
  • Handle: RePEc:diw:diwsop:diw_sp1067
    as

    Download full text from publisher

    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.725359.de/diw_sp1067.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Yu, Wenhao & Ai, Tinghua & Shao, Shiwei, 2015. "The analysis and delimitation of Central Business District using network kernel density estimation," Journal of Transport Geography, Elsevier, vol. 45(C), pages 32-47.
    2. Alex Anas & Richard Arnott & Kenneth A. Small, 1998. "Urban Spatial Structure," Journal of Economic Literature, American Economic Association, vol. 36(3), pages 1426-1464, September.
    3. Daniel P. McMillen, 2004. "Employment Densities, Spatial Autocorrelation, and Subcenters in Large Metropolitan Areas," Journal of Regional Science, Wiley Blackwell, vol. 44(2), pages 225-244, May.
    4. Camille Roth & Soong Moon Kang & Michael Batty & Marc Barthélemy, 2011. "Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows," PLOS ONE, Public Library of Science, vol. 6(1), pages 1-8, January.
    5. Martijn Burger & Evert Meijers, 2012. "Form Follows Function? Linking Morphological and Functional Polycentricity," Urban Studies, Urban Studies Journal Limited, vol. 49(5), pages 1127-1149, April.
    6. Goebel Jan & Grabka Markus M. & Liebig Stefan & Kroh Martin & Richter David & Schröder Carsten & Schupp Jürgen, 2019. "The German Socio-Economic Panel (SOEP)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 345-360, April.
    7. Barr, Jason & Cohen, Jeffrey P., 2014. "The floor area ratio gradient: New York City, 1890–2009," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 110-119.
    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. Chen Zhong & Markus Schläpfer & Stefan Müller Arisona & Michael Batty & Carlo Ratti & Gerhard Schmitt, 2017. "Revealing centrality in the spatial structure of cities from human activity patterns," Urban Studies, Urban Studies Journal Limited, vol. 54(2), pages 437-455, February.
    2. Juan Zhu & Xinyi Niu & Yao Wang, 2024. "Polycentric Urban Spatial Structure Identification Based on Morphological and Functional Dimensions: Evidence from Three Chinese Cities," Sustainability, MDPI, vol. 16(6), pages 1-22, March.
    3. Cats, Oded & Wang, Qian & Zhao, Yu, 2015. "Identification and classification of public transport activity centres in Stockholm using passenger flows data," Journal of Transport Geography, Elsevier, vol. 48(C), pages 10-22.
    4. Juan Zhu & Xinyi Niu & Cheng Shi, 2019. "The Influencing Factors of a Polycentric Employment System on Jobs-Housing Matching—A Case Study of Hangzhou, China," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    5. Ilenia Epifani & Rosella Nicolini, 2013. "On The Population Density Distribution Across Space: A Probabilistic Approach," Journal of Regional Science, Wiley Blackwell, vol. 53(3), pages 481-510, August.
    6. Josep Roca Cladera & Carlos R. Marmolejo Duarte & Montserrat Moix, 2009. "Urban Structure and Polycentrism: Towards a Redefinition of the Sub-centre Concept," Urban Studies, Urban Studies Journal Limited, vol. 46(13), pages 2841-2868, December.
    7. Jaume Masip Tresserra, 2012. "Identifying the Employment and Population Centers at regional and metropolitan scale: The Case of Catalonia and Barcelona," ERSA conference papers ersa12p70, European Regional Science Association.
    8. Zuo, Jialing & Zheng, Wei & Hong, Jingke, 2024. "Interactions between centrality and commuting costs in a mountainous city: Implications for jobs-housing relationships and land use policies," Land Use Policy, Elsevier, vol. 137(C).
    9. Rafael Henrique Moraes Pereira & Vanessa Nadalin & Leonardo Monasterio & Pedro Henrique Melo Albuquerque, 2012. "Quantifying Urban Centrality: A Simple Index Proposal And International Comparison," Discussion Papers 1675, Instituto de Pesquisa Econômica Aplicada - IPEA.
    10. Peng Ji & Lilin Yuan, 2023. "Whether polycentric spatial structure is conducive to regional coordinated development: A study on urban agglomerations in China," Growth and Change, Wiley Blackwell, vol. 54(4), pages 940-961, December.
    11. Sadia Afrose & Ahmad Mojtoba Riyadh & Afsana Haque, 2019. "Cores of Dhaka city: area delimitation and comparison of their characteristics," Asia-Pacific Journal of Regional Science, Springer, vol. 3(2), pages 521-560, June.
    12. Jifei Ban & Richard Arnott & Jacob L. Macdonald, 2017. "Identifying Employment Subcenters: The Method of Exponentially Declining Cutoffs," Land, MDPI, vol. 6(1), pages 1-33, March.
    13. Emilie ARNOULT & Florent SARI, 2016. "Analyse Spatiale De L’Espace Urbain : Le Cas De L’Agglomération Lyonnaise," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 43, pages 77-110.
    14. Yeran Sun & Hongchao Fan & Ming Li & Alexander Zipf, 2016. "Identifying the city center using human travel flows generated from location-based social networking data," Environment and Planning B, , vol. 43(3), pages 480-498, May.
    15. Antti Vasanen, 2012. "Functional Polycentricity: Examining Metropolitan Spatial Structure through the Connectivity of Urban Sub-centres," Urban Studies, Urban Studies Journal Limited, vol. 49(16), pages 3627-3644, December.
    16. Garcia-López, Miquel-Àngel, 2010. "Population suburbanization in Barcelona, 1991-2005: Is its spatial structure changing?," Journal of Housing Economics, Elsevier, vol. 19(2), pages 119-132, June.
    17. Antti Vasanen, 2013. "Spatial Integration and Functional Balance in Polycentric Urban Systems: A Multi-Scalar Approach," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 104(4), pages 410-425, September.
    18. Wenzheng Li & Stephan Schmidt, 2024. "The spatial‐temporal evolution of urban development patterns in Chinese cities: Dynamics and interpretations," Growth and Change, Wiley Blackwell, vol. 55(2), June.
    19. Paolo VENERI & David BURGALASSI, 2011. "Spatial Structure and Productivity in Italian NUTS-3 Regions," Working Papers 364, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    20. Angelika Münter & Kati Volgmann, 2021. "Polycentric regions: Proposals for a new typology and terminology," Urban Studies, Urban Studies Journal Limited, vol. 58(4), pages 677-695, March.

    More about this item

    Keywords

    city center; cognitive perception; urban spatial structure; density; floor area ratio;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:diw:diwsop:diw_sp1067. 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: Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/sodiwde.html .

    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.