CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
id ecaade2016_023
authors Olascoaga, Carlos Sandoval, Xu, Wenfei and Flores, Hector
year 2016
title Crowd-Sourced Neighborhoods - User-Contextualized Neighborhood Ranking
source Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 19-30
summary Finding an attractive or best-fit neighborhood for a new resident of any city is not only important from the perspective of the resident him or herself, but has larger implications for developers and city planners. The environment or mood of the right neighborhood is not simply created through traditional characteristics such as income, crime, or zoning regulations - more ephemeral traits related to user-perception also have significant weight. Using datasets and tools previously unassociated with real-estate decision-making and neighborhood planning, such as social media and machine learning, we create a non-deterministic and customized way of discovering and understanding neighborhoods. Our project creates a customizable ranking system for the 195 neighborhoods in New York City that helps users find the one that best matches their preferences. Our team has developed a composite weighted score with urban spatial data and social media data to rank all NYC neighborhoods based on a series of questions asked to the user. The project's contribution is to provide a scientific and calibrated understanding of the impact that socially oriented activities and preferences have towards the uses of space.
wos WOS:000402064400001
keywords Textual Semantic analysis; machine learning; participatory planning; community detection; neighborhood definition
series eCAADe
full text file.pdf (8,104,549 bytes)
references Content-type: text/plain
Details Citation Select
100%; open Blei, D., Ng, A. and Jordan, M. (2003) Find in CUMINCAD Latent dirichlet allocation , J. Mach. Learn, 3, pp. 993-1022

100%; open Blei, D. (2012) Find in CUMINCAD Probabilistic Topic Models , ACM, 55, pp. 77-84

100%; open Chang, J and Sun, E (2011) Find in CUMINCAD Location3: How Users Share and Respond to Location-Based Data on Social , ICSMW

100%; open Chrisman, N (2006) Find in CUMINCAD Charting the Unknown: How computer mapping at Harvard became GIS , ESRI Press

100%; open Cranshaw, J, Schwartz, R, Hong, J and Sadeh, N (2012) Find in CUMINCAD The Livelihoods Project: Utilizing Social Media to Understand the Dynamics of the City , Assoc. Adv. Artif. Intell

100%; open Frias-Martinez, V and Frias-Martinez, E (2014) Find in CUMINCAD Spectral Clustering for Sensing Urban Land Use Using Twitter Activity , Engineering Applications of Artificial Intelligence, 35, pp. 237-245

100%; open Jacobs, J (1961) Find in CUMINCAD The Death and Life of Great American Cities , Vintage Books

100%; open Light, J (2003) Find in CUMINCAD From Warfare to Welfare: Defense Intellectuals and Urban Problems in Cold War America , John Hopkins University Press

100%; open Loecher, M and Jebara, T (2009) Find in CUMINCAD CitySense: Multiscale space time clustering of gps points and trajectories , Proceedings of the Joint Statistical Meeting

100%; open McHarg, I (1971) Find in CUMINCAD Design with Nature , Natural History Press

100%; open Norvig, R (2003) Find in CUMINCAD Artificial Intelligence: A Modern Approach , Prentice Hall

100%; open Noulas, A, Scellato, S, Mascolo, C and Pontil, M (2011) Find in CUMINCAD Exploiting Semantic Annotations for Clustering Geographic Areas and Users in Location-Based Social Networks , SMW Workshop at ICWSM

100%; open Townsend, A (2013) Find in CUMINCAD Smart cities: Big data, civic hackers, and the quest for a new utopia , WW Norton & Company

100%; open Vaca, C, Quercia, D, Bonchi, F and Fraternali, P (2015) Find in CUMINCAD Taxonomy-Based Discovery and Annotation of Functional Areas in the City , AAAI Conference on Web and Social Media

100%; open Zhang, A, Noulas, A, Scellato, S and Mascolo, C (2013) Find in CUMINCAD Modeling and Recomending Neighborhoods in Location-based Social Networks , Hum J, 2, pp. 1-15

last changed 2017/06/28 08:46
pick and add to favorite papersHOMELOGIN (you are user _anon_973915 from group guest) CUMINCAD Papers Powered by SciX Open Publishing Services 1.002