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The Scales and Structures of Intra-Urban Spaces

The Scales and Structures of Intra-Urban Spaces

Bernd Resch (ORCID: 0000-0002-2233-6926)
  • Grant DOI 10.55776/P29135
  • Funding program Principal Investigator Projects
  • Status ended
  • Start November 3, 2016
  • End November 2, 2021
  • Funding amount € 208,953
  • Project website

Disciplines

Geosciences (30%); Human Geography, Regional Geography, Regional Planning (60%); Psychology (10%)

Keywords

    Cities, Urban Structure, Distance Decay Functions,

Abstract Final report

Content This project will address the structure of intra-urban spaces from both theoretical and empirical perspectives, and in doing so will provide a foundational reference both for the scales at which urban science may most productively be directed, and for understanding inter-relationships between properties observed across multiple scales. Hypotheses The primary hypotheses addressed by the project are: 1. That similarity between places decays with spatial proximity in a functionally defined manner able to be both theoretically described and empirically quantified; 2. That relationships between proximity and similarity are partly subjective; 3. That spatial interaction models can be improved by considering the full covariance between all spatial points, rather than quantifying each point in terms of simple sums of contributions of all other points; 4. That cities are complex spatial systems in which path dependence implies place dependence, and which must thus manifest discernible spatial discontinuities. Methods Methods developed in this project will build on a novel theoretical foundation to describe how functional relationships between proximity and similarity arise within urban spaces. Resultant theoretical models will inform empirical methods used to quantify empirical proximity--similarity relationships from several large cities of the global north, with both theories and methods incorporating consideration of the potential subjectivity of proximity--similarity relationships. A second component will extend spatial interaction models to describe the statistical properties of spatial covariance matrices, and will use these models to empirically discern spatial discontinuities between urban regions. Discontinuities will be quantified though adapting maximum-entropy descriptions successfully used to quantify the spatial extent of ecosystems. Novel Contributions The first of three primary novel contributions of the project will be to provide a theoretical foundation for the `First Law` of geography, through developing the first fundamental description for the origin of proximity--similarity relationships. Consideration of the potential subjectivity of such relationships forms an equally important and novel aspect. The second component will extend spatial interaction models to enable description of how relationships between any two spatial points will be shared by any pairs of nearby points. Finally, the third component will use these extended models of spatial structure to discern discontinuities between spatial regions, and so allow quantification both of neighbourhood boundaries, and of hierarchical relationships between intra-urban neighbourhoods. 1

This project will address the structure of intra-urban spaces from both theoretical and empirical perspectives, and in doing so will provide a foundational reference both for the scales at which urban science may most productively be directed, and for understanding inter-relationships between properties observed across multiple scales. The primary hypotheses addressed by the project are: 1. That similarity between places decays with spatial proximity in a functionally defined manner able to be both theoretically described and empirically quantified; 2. That relationships between proximity and similarity are partly subjective; 3. That spatial interaction models can be improved by considering the full covariance between all spatial points, rather than quantifying each point in terms of simple sums of contributions of all other points; 4. That cities are complex spatial systems in which path dependence implies place dependence, and which must thus manifest discernible spatial discontinuities. Methods developed in this project will build on a novel theoretical foundation to describe how functional relationships between proximity and similarity arise within urban spaces. Resultant theoretical models will inform empirical methods used to quantify empirical proximity--similarity relationships from several large cities of the global north, with both theories and methods incorporating consideration of the potential subjectivity of proximity--similarity relationships. A second component will extend spatial interaction models to describe the statistical properties of spatial covariance matrices, and will use these models to empirically discern spatial discontinuities between urban regions. Discontinuities will be quantified though adapting maximum-entropy descriptions successfully used to quantify the spatial extent of ecosystems. The first of three primary novel contributions of the project will be to provide a theoretical foundation for the `First Law' of geography, through developing the first fundamental description for the origin of proximity--similarity relationships. Consideration of the potential subjectivity of such relationships forms an equally important and novel aspect. The second component will extend spatial interaction models to enable description of how relationships between any two spatial points will be shared by any pairs of nearby points. Finally, the third component will use these extended models of spatial structure to discern discontinuities between spatial regions, and so allow quantification both of neighbourhood boundaries, and of hierarchical relationships between intra-urban neighbourhoods.

Research institution(s)
  • Universität Salzburg - 100%
International project participants
  • Yanguang Chen, Peking University - China
  • Benedikt Graeler, Universität Münster - Germany
  • Martin Austwick, University College London
  • Michael Batty, University College London

Research Output

  • 673 Citations
  • 33 Publications
  • 2 Software
  • 3 Fundings
Publications
  • 2021
    Title #AllforJan: How Twitter Users in Europe Reacted to the Murder of Ján Kuciak—Revealing Spatiotemporal Patterns through Sentiment Analysis and Topic Modeling
    DOI 10.3390/ijgi10090585
    Type Journal Article
    Author Kovács T
    Journal ISPRS International Journal of Geo-Information
    Pages 585
    Link Publication
  • 2021
    Title Evaluating the Representativeness of Socio-Demographic Variables over Time for Geo-Social Media Data
    DOI 10.3390/ijgi10050323
    Type Journal Article
    Author Petutschnig A
    Journal ISPRS International Journal of Geo-Information
    Pages 323
    Link Publication
  • 2021
    Title An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time
    DOI 10.1126/sciadv.abd6989
    Type Journal Article
    Author Kogan N
    Journal Science Advances
    Link Publication
  • 2021
    Title Applying Spatial Video Geonarratives and Physiological Measurements to Explore Perceived Safety in Baton Rouge, Louisiana
    DOI 10.3390/ijerph18031284
    Type Journal Article
    Author Ristea A
    Journal International Journal of Environmental Research and Public Health
    Pages 1284
    Link Publication
  • 2022
    Title TraceBERT—A Feasibility Study on Reconstructing Spatial–Temporal Gaps from Incomplete Motion Trajectories via BERT Training Process on Discrete Location Sequences
    DOI 10.3390/s22041682
    Type Journal Article
    Author Crivellari A
    Journal Sensors
    Pages 1682
    Link Publication
  • 2022
    Title An eDiary App Approach for Collecting Physiological Sensor Data from Wearables together with Subjective Observations and Emotions
    DOI 10.3390/s22166120
    Type Journal Article
    Author Petutschnig A
    Journal Sensors
    Pages 6120
    Link Publication
  • 2022
    Title Investigating functional consistency of mobility-related urban zones via motion-driven embedding vectors and local POI-type distributions
    DOI 10.1007/s43762-022-00049-8
    Type Journal Article
    Author Crivellari A
    Journal Computational Urban Science
    Pages 19
    Link Publication
  • 2022
    Title Measuring Urban Quality of Life by Analyszing Geotagged Emotions Extracted from Social Media Feeds
    Type Other
    Author Mollow R
  • 2022
    Title Investigating Functional Consistency of Mobility-related Urban Zones via Motion-driven Embedding Vectors and Local POI-type Distributions
    Type Journal Article
    Author Crivellari A
    Journal Computational Urban Science
  • 2021
    Title Commuter Mobility Patterns in Social Media: Correlating Twitter and LODES Data
    DOI 10.3390/ijgi11010015
    Type Journal Article
    Author Petutschnig A
    Journal ISPRS International Journal of Geo-Information
    Pages 15
    Link Publication
  • 2021
    Title geodist: Fast, Dependency-Free Geodesic Distance Calculations
    Type Other
    Author Padgham M
    Conference CRAN R Package
    Link Publication
  • 2017
    Title A statistical test on the local effects of spatially structured variance
    DOI 10.1080/13658816.2017.1402914
    Type Journal Article
    Author Westerholt R
    Journal International Journal of Geographical Information Science
    Pages 571-600
    Link Publication
  • 2017
    Title bikedata
    DOI 10.21105/joss.00471
    Type Journal Article
    Author Padgham M
    Journal The Journal of Open Source Software
    Pages 471
    Link Publication
  • 2018
    Title Estimating Cycling Potential on Route Networks in Accra and Kathmandu
    Type Other
    Author Lovelace R
    Conference Report, University of Leeds, UK
    Link Publication
  • 2020
    Title An Early Warning Approach to Monitor COVID-19 Activity with Multiple Digital Traces in Near Real-Time
    DOI 10.48550/arxiv.2007.00756
    Type Preprint
    Author Kogan N
  • 2020
    Title An Interdisciplinary Mixed-Methods Approach to Analyzing Urban Spaces: The Case of Urban Walkability and Bikeability
    DOI 10.3390/ijerph17196994
    Type Journal Article
    Author Resch B
    Journal International Journal of Environmental Research and Public Health
    Pages 6994
    Link Publication
  • 2020
    Title Urban Emotion Sensing Beyond ‘Affective Capture’: Advancing Critical Interdisciplinary Methods
    DOI 10.3390/ijerph17239003
    Type Journal Article
    Author Pykett J
    Journal International Journal of Environmental Research and Public Health
    Pages 9003
    Link Publication
  • 2020
    Title From Urban Stress to Neurourbanism: How Should We Research City Well-Being?
    DOI 10.1080/24694452.2020.1736982
    Type Journal Article
    Author Pykett J
    Journal Annals of the American Association of Geographers
    Pages 1936-1951
    Link Publication
  • 2018
    Title Beyond Spatial Proximity—Classifying Parks and Their Visitors in London Based on Spatiotemporal and Sentiment Analysis of Twitter Data
    DOI 10.3390/ijgi7090378
    Type Journal Article
    Author Kovacs-Györi A
    Journal ISPRS International Journal of Geo-Information
    Pages 378
    Link Publication
  • 2018
    Title Correction: Abundant Topological Outliers in Social Media Data and Their Effect on Spatial Analysis
    DOI 10.1371/journal.pone.0209722
    Type Journal Article
    Author Westerholt R
    Journal PLOS ONE
    Link Publication
  • 2018
    Title Privacy Threats and Protection Recommendations for the Use of Geosocial Network Data in Research
    DOI 10.3390/socsci7100191
    Type Journal Article
    Author Kounadi O
    Journal Social Sciences
    Pages 191
    Link Publication
  • 2017
    Title Are Cities Complex?
    Type Conference Proceeding Abstract
    Author Padgham M
    Conference 25th GIS Research UK Conference, 18-21 April 2017, Manchester, UK
    Link Publication
  • 2017
    Title Scale-Free Relationships between Social and Landscape Factors in Urban Systems
    DOI 10.3390/su9010084
    Type Journal Article
    Author Wei C
    Journal Sustainability
    Pages 84
    Link Publication
  • 2017
    Title osmdata
    DOI 10.21105/joss.00305
    Type Journal Article
    Author Padgham M
    Journal The Journal of Open Source Software
    Pages 305
    Link Publication
  • 2016
    Title Abundant Topological Outliers in Social Media Data and Their Effect on Spatial Analysis
    DOI 10.1371/journal.pone.0162360
    Type Journal Article
    Author Westerholt R
    Journal PLOS ONE
    Link Publication
  • 2019
    Title dodgr: An R package for network flow aggregation
    DOI 10.32866/6945
    Type Journal Article
    Author Padgham M
    Journal Transport Findings
    Link Publication
  • 2019
    Title stats19: A package for working with open road crash data
    DOI 10.21105/joss.01181
    Type Journal Article
    Author Lovelace R
    Journal Journal of Open Source Software
    Pages 1181
    Link Publication
  • 2019
    Title dodgr: Distances on Directed Graphs
    Type Other
    Author Padgham M
    Conference CRAN R Package
    Link Publication
  • 2019
    Title Human-Centric Data Science for Urban Studies
    DOI 10.3390/ijgi8120584
    Type Journal Article
    Author Resch B
    Journal ISPRS International Journal of Geo-Information
    Pages 584
    Link Publication
  • 2019
    Title Assessing and Representing Livability through the Analysis of Residential Preference
    DOI 10.3390/su11184934
    Type Journal Article
    Author Kovacs-Györi A
    Journal Sustainability
    Pages 4934
    Link Publication
  • 2019
    Title Evaluating Urban Bicycle Infrastructures through Intersubjectivity of Stress Sensations Derived from Physiological Measurements
    DOI 10.3390/ijgi8060265
    Type Journal Article
    Author Werner C
    Journal ISPRS International Journal of Geo-Information
    Pages 265
    Link Publication
  • 2019
    Title Composition of place: towards a compositional view of functional space
    DOI 10.1080/15230406.2019.1598894
    Type Journal Article
    Author Papadakis E
    Journal Cartography and Geographic Information Science
    Pages 28-45
    Link Publication
  • 0
    Title Integrated Analysis of Geographic and Relational Space
    Type Journal Article
    Author Arifi D
    Journal Information
Software
  • 2020 Link
    Title ropensci/osmdata: CRAN release 0.1.4
    DOI 10.5281/zenodo.4244651
    Link Link
  • 2017 Link
    Title Ropensci/Bikedata: V0.1.0.099
    DOI 10.5281/zenodo.1089207
    Link Link
Fundings
  • 2020
    Title POSITIM
    Type Research grant (including intramural programme)
    Start of Funding 2020
  • 2019
    Title SINUS
    Type Research grant (including intramural programme)
    Start of Funding 2019
  • 2022
    Title MUSIG - Multi-sensor Information Generation to Support Crisis Management and Prevention
    Type Research grant (including intramural programme)
    Start of Funding 2022

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+43 1 505 67 40

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