TY - GEN
T1 - Towards understanding real-estate ownership in New York City
T2 - 1st International Workshop on Data Science for Macro-Modeling, DSMM 2014 - In Conjunction with the ACM SIGMOD/PODS Conference
AU - Hoang-Vu, Tuan Anh
AU - Been, Vicki
AU - Ellen, Ingrid Gould
AU - Weselcouch, Max
AU - Freire, Juliana
PY - 2014/6/22
Y1 - 2014/6/22
N2 - Understanding who is investing in real estate, and the patterns of their investments, is critical both for assessing the need for, and the effects of, policy interventions by governments, lenders, and non-profit community development organizations. If we knew more about patterns of ownership, for example, we could target buildings that seem to "produce" disproportionate numbers of homeless families seeking housing in the City's shelter system. Many other policies could also be made more effective, including policies related the city's property tax assessment, water and sewer lien practices, outreach to small property owners for energy upgrades, enforcement of rent regulation rules and policies to encourage investment through tax subsidies and zoning changes. Not only is understanding these patterns critical for deciding how to target interventions, but they may have significant implications for the effectiveness of interventions ranging from policing to the opening or closing of schools to land use policies such as inclusionary zoning. Copyright is held by the owner/author(s).
AB - Understanding who is investing in real estate, and the patterns of their investments, is critical both for assessing the need for, and the effects of, policy interventions by governments, lenders, and non-profit community development organizations. If we knew more about patterns of ownership, for example, we could target buildings that seem to "produce" disproportionate numbers of homeless families seeking housing in the City's shelter system. Many other policies could also be made more effective, including policies related the city's property tax assessment, water and sewer lien practices, outreach to small property owners for energy upgrades, enforcement of rent regulation rules and policies to encourage investment through tax subsidies and zoning changes. Not only is understanding these patterns critical for deciding how to target interventions, but they may have significant implications for the effectiveness of interventions ranging from policing to the opening or closing of schools to land use policies such as inclusionary zoning. Copyright is held by the owner/author(s).
UR - http://www.scopus.com/inward/record.url?scp=84920031542&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84920031542&partnerID=8YFLogxK
U2 - 10.1145/2630729.2630746
DO - 10.1145/2630729.2630746
M3 - Conference contribution
AN - SCOPUS:84920031542
T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data
BT - Proceedings of the 1st International Workshop on Data Science for Macro-Modeling, DSMM 2014
PB - Association for Computing Machinery
Y2 - 27 June 2014 through 27 June 2014
ER -