Microspatial urban analysis: how to better understand addresses, streets, and neighborhoods II

Type: Paper
Sponsor Groups:
Poster #:
Day: 4/9/2020
Start / End Time: 3:20 PM / 4:35 PM
Room: Tower Court A, Sheraton, IM Pei Tower, Second Floor Level
Organizers: Alina Ristea
Chairs: Alina Ristea

Call for Submissions

If you are interested in presenting your work in this session, please send your Presenter Identification Number (PIN) - AAG PIN and the following information to Alina Ristea (a.ristea@northeastern.edu) no later than November 15th, 2019: Paper title, your name, affiliation, and abstract.


The conceptualization of spatial relationships depends on what is measured. Concerns have been raised in previous work about the level of spatial aggregation and its effect on research results. A large body of literature has focused only on one spatial level and thus underestimated the relations between the macro- and micro- scale. This brings into discussion the Modifiable Areal Unit Problem (MAUP), which has been documented in many studies. The effects on the scale by aggregating to larger or smaller spatial units, and moving the boundaries of selected areas, can have significant differences in precision and evaluation.

The knowledge of urban areas on the micro-scale can be powerful for a more targeted geographical approach. Large amounts of geolocated user-generated data (e.g. social media) are actively produced every day and can be used in the context of cities and urban environment. To study the interactions between these data and other urban elements we need to understand which geographical scale(s) analysis are appropriate and the interactions between levels of organization.
For example, how can we delineate discrete cells when analyzing disaster damage? How are social media and mobile phone data aggregated for data ethics and privacy?

Big data (e.g. user-generated) can be unstructured and biased, thus they require pre-processing to get a usable structure and geographical locations. At the same time, these data are dynamic in comparison with administrative and other more traditional data. Thus, is the neighborhood representative for the study purpose using dynamic and traditional data? Can we understand the impact of micro areas on the whole neighborhood? (e.g. for safety and security)

This paper session aims to gather current research on applications that deal with geographical scale constraints not only from a technical perspective but also for sociological, economic, urban planning and other views. Moreover, the discussion about the concept of place and fuzzy boundaries in contrast to geographies and crisp boundaries would be a nice fit for this session.

Sessions organized at the 2020 AAG aim on exchanging new ideas and presenting innovative research, methods, and applications in the microscale urban analysis. Appropriate topics include, but are not limited to:

Neighborhood analysis
Physical and social characteristics of neighborhoods
Big Data and Urban Informatics
Smart Cities
Urban Mobility
Administrative data and the role for urban analysis
Segregation in urban environments
Measuring resilience
Gentrification at scale
User-generated data applications for cities
Disaster damage and recovery at scale
Administrative border precision versus grid data
Interactions between geography levels
Geography of place


Type Details Minutes Start Time
Presenter Yalin Yang*, University of Texas At Dallas, Interpreting spatial heterogeneous of Housing rent in Dallas using open textual data 15 3:20 PM
Presenter Cédric Brunelle*, Institut National de la Recherche Scientifique - Centre Urbanisation Culture Société (INRS-UCS), Jean Dubé, Université Laval, Modelling the spatio-temporal diffusion of short-term rentals in Montreal, Quebec, Toronto, and Vancouver metropolitan areas: a spatial statistics approach. 15 3:35 PM
Presenter Chiamaka Chimah*, Georgia Southern University, Examining Spatial Inequalities of Green Spaces across an Urban Suburban Gradient 15 3:50 PM
Presenter Melissa Barrientos*, The Bartlett School of Planning, University College London, (Over) designed layouts and urban complexity: uncovering disurban spatial patterns in later urban growths and their impact on the city’s part-whole structure. 15 4:05 PM
Presenter Jason Karpman*, UCLA Luskin Center For Innovation, Sam Lau, UCLA Luskin School of Public Affairs, Emma French, UCLA Luskin School of Public Affairs, Housing affordability and sustainable development: Assessing the effects of announcement and early implementation of sustainability investments on advertised rental housing prices at the neighborhood-scale 15 4:20 PM

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