Towards understanding real-estate ownership in New York City: Opportunities and challenges

Tuan Anh Hoang-Vu, Vicki Been, Ingrid Gould Ellen, Max Weselcouch, Juliana Freire

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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).

Original languageEnglish (US)
Title of host publicationProceedings of the 1st International Workshop on Data Science for Macro-Modeling, DSMM 2014
PublisherAssociation for Computing Machinery
ISBN (Print)9781450330121
DOIs
StatePublished - Jun 22 2014
Event1st International Workshop on Data Science for Macro-Modeling, DSMM 2014 - In Conjunction with the ACM SIGMOD/PODS Conference - Snowbird, United States
Duration: Jun 27 2014Jun 27 2014

Other

Other1st International Workshop on Data Science for Macro-Modeling, DSMM 2014 - In Conjunction with the ACM SIGMOD/PODS Conference
CountryUnited States
CitySnowbird
Period6/27/146/27/14

Fingerprint

Zoning
Taxation
Sewers
Land use
Water

ASJC Scopus subject areas

  • Software
  • Information Systems

Cite this

Hoang-Vu, T. A., Been, V., Ellen, I. G., Weselcouch, M., & Freire, J. (2014). Towards understanding real-estate ownership in New York City: Opportunities and challenges. In Proceedings of the 1st International Workshop on Data Science for Macro-Modeling, DSMM 2014 [2630746] Association for Computing Machinery. https://doi.org/10.1145/2630729.2630746

Towards understanding real-estate ownership in New York City : Opportunities and challenges. / Hoang-Vu, Tuan Anh; Been, Vicki; Ellen, Ingrid Gould; Weselcouch, Max; Freire, Juliana.

Proceedings of the 1st International Workshop on Data Science for Macro-Modeling, DSMM 2014. Association for Computing Machinery, 2014. 2630746.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hoang-Vu, TA, Been, V, Ellen, IG, Weselcouch, M & Freire, J 2014, Towards understanding real-estate ownership in New York City: Opportunities and challenges. in Proceedings of the 1st International Workshop on Data Science for Macro-Modeling, DSMM 2014., 2630746, Association for Computing Machinery, 1st International Workshop on Data Science for Macro-Modeling, DSMM 2014 - In Conjunction with the ACM SIGMOD/PODS Conference, Snowbird, United States, 6/27/14. https://doi.org/10.1145/2630729.2630746
Hoang-Vu TA, Been V, Ellen IG, Weselcouch M, Freire J. Towards understanding real-estate ownership in New York City: Opportunities and challenges. In Proceedings of the 1st International Workshop on Data Science for Macro-Modeling, DSMM 2014. Association for Computing Machinery. 2014. 2630746 https://doi.org/10.1145/2630729.2630746
Hoang-Vu, Tuan Anh ; Been, Vicki ; Ellen, Ingrid Gould ; Weselcouch, Max ; Freire, Juliana. / Towards understanding real-estate ownership in New York City : Opportunities and challenges. Proceedings of the 1st International Workshop on Data Science for Macro-Modeling, DSMM 2014. Association for Computing Machinery, 2014.
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