Catching up the Science of Problem Properties: The Microspatial Dynamics of Crime, Disorder, and Property Management
Catching up the Science of Problem Properties: The Microspatial Dynamics of Crime, Disorder, and Property Management
批准号:
1921281
负责人:
Daniel O'Brien
金额:
$30.07万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-01 至 2023-08-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Criminologists and police departments alike have long sought to understand and address the stark variation in crime across a given city. In recent years, this has given rise to an emerging law enforcement strategy that concentrates on "problem properties" that generate dramatically more crime and disorder than other properties on their street or in their neighborhood. Such efforts, however, have gone ahead of the science--at this time there is little foundational knowledge to guide their design and few evaluations of their effectiveness. This project will advance the science of problem properties and translate it into effective interventions by pursuing three questions. First, what are the microspatial dynamics of crime and disorder at addresses? Second, what are the implications of a law enforcement strategy that implicitly targets landowners and tenants for property management and use? Third, how do the answers to the first two questions interact with street and neighborhood factors?The project will leverage an existing partnership between the Boston Area Research Initiative (BARI), an NSF Research Coordination Network, and the City of Boston's Problem Properties Task Force (PPTF). It will comprise three components. (1) The analysis of archival data provided by BARI's Boston Data Portal, including 911 and 311 reports of crime and disorder, ownership information, and other administrative records and social media posts, will offer insights into the different types of problem properties, as well as factors that predict their emergence and persistence. (2) Observation at and nearby problem properties and matched non-problem properties and surveys of landowners and tenants will provide a richer view of local conditions, patterns of property management, and interactions with the neighborhood. (3) BARI and the PPTF will design and conduct an experimental evaluation of problem property interventions through a randomized control trial. The evaluation will be interpreted via the data products, analytic techniques, and theoretical insights generated in Parts 1 and 2 of the project with a focus on questions of crime displacement and impacts on the behavior of property owners.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1177/00224278221112839
发表时间:
2022
期刊:
Journal of Research in Crime and Delinquency
影响因子:
3.2
作者:
[O'Brien, Dan, Ciomek, Alex]
通讯作者:
Ciomek, Alex
The Emergence and Evolution of Problematic Properties: Onset, Persistence, Aggravation, and Desistance
问题性质的出现和演变:发作、持续、加重和停止
DOI:
10.1007/s10940-022-09542-z
发表时间:
2022
期刊:
Journal of Quantitative Criminology
影响因子:
3.6
作者:
[O’Brien, Daniel T., Ristea, Alina, Tucker, Riley, Hangen, Forrest]
通讯作者:
Hangen, Forrest
DOI:
10.1186/s40163-022-00165-0
发表时间:
2022-06-19
期刊:
CRIME SCIENCE
影响因子:
6.1
作者:
[O'Brien, Daniel T., Ristea, Alina, Tucker, Riley]
通讯作者:
Tucker, Riley
Collaborative Research: HNDS-I. Mobility Data for Communities (MD4C): Using Cell-Phone Records to Study Societal Dynamics
-
批准号:2218791
-
项目类别:Standard Grant
-
资助金额:$47.93万
-
财政年份:2023
-
负责人:Daniel O'Brien
-
依托单位:
SCC-IRG Track 1: Common SENSES (Standards for ENacting Sensor networks for an Equitable Society) : Community-Led, Science-Driven Climate Resilience in Boston, MA
-
批准号:2230036
-
项目类别:Standard Grant
-
资助金额:$249.95万
-
财政年份:2022
-
负责人:Daniel O'Brien
-
依托单位:
RAPID: Infection Transmission of COVID19 in Urban Neighborhoods
-
批准号:2032384
-
项目类别:Standard Grant
-
资助金额:$19.97万
-
财政年份:2020
-
负责人:Daniel O'Brien
-
依托单位:
RIDIR: Collaborative Research: Portal to Data and Analysis Tools (P->DAT): Enabling Data-Intensive Research in the Urban Sciences on Linked, Large-Scale Records
-
批准号:1637124
-
项目类别:Standard Grant
-
资助金额:$15.45万
-
财政年份:2016
-
负责人:Daniel O'Brien
-
依托单位:
国内基金
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