Assessing Risk-Based Policies for Pretrial Release and Split Sentencing in Los Angeles County Jails.
Court-mandated downsizing of the CA prison system has led to a redistribution of detainees from prisons to CA county jails, and subsequent jail overcrowding. Using data that is representative of the LA County jail system, we build a mathematical model that tracks the flow of individuals during arrai...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4694647?pdf=render |
id |
doaj-a62b704406bf40cf8542dff7aaf28c0c |
---|---|
record_format |
Article |
spelling |
doaj-a62b704406bf40cf8542dff7aaf28c0c2020-11-25T01:35:14ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011012e014496710.1371/journal.pone.0144967Assessing Risk-Based Policies for Pretrial Release and Split Sentencing in Los Angeles County Jails.Mericcan UstaLawrence M WeinCourt-mandated downsizing of the CA prison system has led to a redistribution of detainees from prisons to CA county jails, and subsequent jail overcrowding. Using data that is representative of the LA County jail system, we build a mathematical model that tracks the flow of individuals during arraignment, pretrial release or detention, case disposition, jail sentence, and possible recidivism during pretrial release, after a failure to appear in court, during non-felony probation and during felony supervision. We assess 64 joint pretrial release and split-sentencing (where low-level felon sentences are split between jail time and mandatory supervision) policies that are based on the type of charge (felony or non-felony) and the risk category as determined by the CA Static Risk Assessment tool, and compare their performance to that of the policy LA County used in early 2014, before split sentencing was in use. In our model, policies that offer split sentences to all low-level felons optimize the key tradeoff between public safety and jail congestion by, e.g., simultaneously reducing the rearrest rate by 7% and the mean jail population by 20% relative to the policy LA County used in 2014. The effectiveness of split sentencing is due to two facts: (i) convicted felony offenders comprised ≈ 45% of LA County's jail population in 2014, and (ii) compared to pretrial release, split sentencing exposes offenders to much less time under recidivism risk per saved jail day.http://europepmc.org/articles/PMC4694647?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mericcan Usta Lawrence M Wein |
spellingShingle |
Mericcan Usta Lawrence M Wein Assessing Risk-Based Policies for Pretrial Release and Split Sentencing in Los Angeles County Jails. PLoS ONE |
author_facet |
Mericcan Usta Lawrence M Wein |
author_sort |
Mericcan Usta |
title |
Assessing Risk-Based Policies for Pretrial Release and Split Sentencing in Los Angeles County Jails. |
title_short |
Assessing Risk-Based Policies for Pretrial Release and Split Sentencing in Los Angeles County Jails. |
title_full |
Assessing Risk-Based Policies for Pretrial Release and Split Sentencing in Los Angeles County Jails. |
title_fullStr |
Assessing Risk-Based Policies for Pretrial Release and Split Sentencing in Los Angeles County Jails. |
title_full_unstemmed |
Assessing Risk-Based Policies for Pretrial Release and Split Sentencing in Los Angeles County Jails. |
title_sort |
assessing risk-based policies for pretrial release and split sentencing in los angeles county jails. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2015-01-01 |
description |
Court-mandated downsizing of the CA prison system has led to a redistribution of detainees from prisons to CA county jails, and subsequent jail overcrowding. Using data that is representative of the LA County jail system, we build a mathematical model that tracks the flow of individuals during arraignment, pretrial release or detention, case disposition, jail sentence, and possible recidivism during pretrial release, after a failure to appear in court, during non-felony probation and during felony supervision. We assess 64 joint pretrial release and split-sentencing (where low-level felon sentences are split between jail time and mandatory supervision) policies that are based on the type of charge (felony or non-felony) and the risk category as determined by the CA Static Risk Assessment tool, and compare their performance to that of the policy LA County used in early 2014, before split sentencing was in use. In our model, policies that offer split sentences to all low-level felons optimize the key tradeoff between public safety and jail congestion by, e.g., simultaneously reducing the rearrest rate by 7% and the mean jail population by 20% relative to the policy LA County used in 2014. The effectiveness of split sentencing is due to two facts: (i) convicted felony offenders comprised ≈ 45% of LA County's jail population in 2014, and (ii) compared to pretrial release, split sentencing exposes offenders to much less time under recidivism risk per saved jail day. |
url |
http://europepmc.org/articles/PMC4694647?pdf=render |
work_keys_str_mv |
AT mericcanusta assessingriskbasedpoliciesforpretrialreleaseandsplitsentencinginlosangelescountyjails AT lawrencemwein assessingriskbasedpoliciesforpretrialreleaseandsplitsentencinginlosangelescountyjails |
_version_ |
1725067622006915072 |