Modeling urban intersection form: Measurements, patterns, and distributions

Abstract Intersections appear where one street crosses another, acting as fundamental nodes embedded in the network of urban public space. Though discussed in configurational and perceptive studies, limited attention has been paid to the morphological aspects of intersections. This study proposes and tested a new approach to modeling the urban intersection form. First, effective cylinder was introduced to define the related space for each intersection based on its scale. Second, a set of morphological indicators were presented to measure the physical properties of the intersection form. Third, the affinity propagation algorithm was used to examine the patterns of intersection form. Using the Old City of Nanjing, China as the study area, 844 intersections were analyzed to test this new method. As a result, we were able to classify the intersections into eight types. This study shows that the intersection can be modelled as a volumetric and integral spatial unit of urban form, which may demand more attention from urban designers and architects in the future for shaping the built environment. The quantitative nature of our method could also open more possibilities for intersection-based studies.

[1]  Sophia Psarra,et al.  Social and Physical Characterization of Urban Contexts: Techniques and Methods for Quantification, Classification and Purposive Sampling , 2018 .

[2]  Lei Wang,et al.  City profile: Suzhou - a Chinese city under transformation , 2015 .

[3]  Ying Long,et al.  Measuring visual quality of street space and its temporal variation: Methodology and its application in the Hutong area in Beijing , 2019, Landscape and Urban Planning.

[4]  Christian Früh,et al.  Google Street View: Capturing the World at Street Level , 2010, Computer.

[5]  M. Barthelemy,et al.  A typology of street patterns , 2014, Journal of The Royal Society Interface.

[6]  Kay W. Axhausen,et al.  A multiscale classification of the urban morphology , 2016 .

[7]  Meta Berghauser Pont,et al.  Spacematrix: Space, Density and Urban Form , 2010 .

[8]  Yasushi Asami,et al.  The relation between block size and building shape , 2019 .

[9]  M. Conzen Alnwick, Northumberland : a study in town-plan analysis , 1960 .

[10]  Geoff Boeing A multi-scale analysis of 27,000 urban street networks: Every US city, town, urbanized area, and Zillow neighborhood , 2017, ArXiv.

[11]  Ivor Samuels,et al.  From description to prescription: reflections on the use of a morphological approach in design guidance , 1997 .

[12]  Mattia Zanella,et al.  On the origin of spaces: Morphometric foundations of urban form evolution , 2019 .

[13]  Karl S. Kropf,et al.  Bridging configurational and urban tissue analysis , 2017 .

[14]  Saverio Muratori,et al.  Studi per una operante storia urbana di venezia , 1959 .

[15]  Lars Marcus,et al.  Development of urban types based on network centrality, built density and their impact on pedestrian movement , 2019, Environment and Planning B: Urban Analytics and City Science.

[16]  Hasan Al-Mosawe,et al.  Impact of urban morphological changes on traffic performance of Jadriyah intersection , 2020 .

[17]  G. Fusco,et al.  From the street to the metropolitan region: Pedestrian perspective in urban fabric analysis , 2019, Environment and Planning B: Urban Analytics and City Science.

[18]  Martin Fleischmann,et al.  momepy: Urban Morphology Measuring Toolkit , 2019, J. Open Source Softw..

[19]  C. Ren,et al.  Sky view factor analysis of street canyons and its implications for daytime intra‐urban air temperature differentials in high‐rise, high‐density urban areas of Hong Kong: a GIS‐based simulation approach , 2012 .

[20]  Lisa Aultman-Hall,et al.  Streetscape skeleton measurement and classification , 2017 .

[21]  M. Berghauser Pont,et al.  Towards analytical typologies of plot systems: Quantitative profile of five European cities , 2019, Environment and Planning B: Urban Analytics and City Science.

[22]  Yi Lu,et al.  Measuring daily accessed street greenery: A human-scale approach for informing better urban planning practices , 2019, Landscape and Urban Planning.

[23]  A. Vialard,et al.  A typology of block-faces , 2013 .

[24]  Long Zhao,et al.  The evolution of George Town's urban morphology in the Straits of Malacca, late 18th century-early 21st century , 2019 .

[25]  A. Moudon Urban Morphology as an emerging interdisciplinary field , 2022, Urban Morphology.

[26]  J. Sallis,et al.  Urban Form Relationships with Walk Trip Frequency and Distance among Youth , 2007, American journal of health promotion : AJHP.

[27]  Jorge Gil,et al.  Street network analysis “edge effects”: Examining the sensitivity of centrality measures to boundary conditions , 2017 .

[28]  Delbert Dueck,et al.  Clustering by Passing Messages Between Data Points , 2007, Science.

[29]  B. Hillier,et al.  The Social Logic of Space , 1984 .

[30]  Yan Song,et al.  Quantitative analysis of urban form: a multidisciplinary review , 2008 .

[31]  Weixing Zhang,et al.  Urban Forestry & Urban Greening , 2015 .

[32]  Bill Hillier,et al.  Space is the machine: A configurational theory of architecture , 1996 .