| Literature DB >> 31847399 |
Mardelle Shepley1, Naomi Sachs1,2, Hessam Sadatsafavi3, Christine Fournier4, Kati Peditto1.
Abstract
Can the presence of green space in urban environments reduce the frequency of violent crime? To ascertain the evidence on this topic, we conducted an in-depth literature review using the PRISMA checklist. The search parameters included US articles written in English and published since 2000. More than 30,000 potential paper titles were identified and ultimately, 45 papers were selected for inclusion. Green spaces typically comprised tree cover, parks and ground cover. Criminal behaviors typically included murder, assault, and theft. The majority of the research reviewed involved quantitative methods (e.g., comparison of green space area to crime data). We extracted multiple mechanisms from the literature that may account for the impact of green space on crime including social interaction and recreation, community perception, biophilic stress reduction, climate modulation, and spaces expressing territorial definition. Recommendations are made for future research, such as meta-analysis of existing data and the development of grounded theory through qualitative data-gathering methods. By providing evidence that access to nature has a mitigating impact on violence in urban settings, city governments and communities are empowered to support these interventions.Entities:
Keywords: green space; greenspace; literature review; scoping review; systematic review; urban parks; violent crime
Mesh:
Year: 2019 PMID: 31847399 PMCID: PMC6950486 DOI: 10.3390/ijerph16245119
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow chart.
Literature Review Matrix by Predictors and Outcomes.
| All Violent Crime | Violent Crime | Homicide Only | Gun Violence | ||
|---|---|---|---|---|---|
|
| Abu-Lughod (‘06) ° ↑ | Lee (‘13) ° ~ | Boessen et al. (‘18) ° ~ | Culyba et al. (‘16) ° ↓ | DeMotto et al. (‘06) ° ~ |
|
| Blair (‘14) † ♦ ~ | Kondo et al. (‘16) Δ ↓ | Culyba et al. (‘16) ° ~ | Branas et al. (‘11) Δ ↓ | |
|
| Auchincloss (‘19) † ~ | Harris (‘18) † ♦ ↓ | Crewe (‘01) † ♦ ↓ | ||
|
| Donahue et al. (‘11) ° ~ | Li (‘08) ° ~ | Deng (‘15) ° ~ | Troy et al. (‘12) ° ↓ | |
|
| Sparks (‘11) ° ~ | Kondo et al. (‘15) Δ ~ | |||
Study Design: ° Correlational, † Quasi-experimental (pre-post or control group); Δ Greening intervention; ♦ Included a qualitative component; Findings: ↓ Negative relationship between green space and crime; ↑ Positive relationship between green space and crime; ~ Inconclusive or no significant relationship found; Strictly qualitative studies excluded from this matrix but included in Appendix A.
Figure 2Green space and crime variable relationships.
Literature Review Summary Table.
| Paper | Study Location; Time | Sample Size; Units | Predictor: Type of Green | Outcome: Type of Crime |
|---|---|---|---|---|
| Abu-Lughod (2006) [ | Highest populated cities in US; 2000 | n/a | P | H, A, T |
| Auchincloss et al. (2019) [ | Philadelphia, PA; 2009–2014 | n/a | V | H, A, T |
| Blair (2014) [ | Cincinnati, OH; 1997–2011 | 5 gardens | G | H, A, T |
| Blair et al. (2017) [ | Cincinnati, OH; 2013–2014 | 12 parks and playgrounds; 10 gardens | P, G | H, A, T |
| Boessen & Hipp (2018) [ | Nine US cities; n.d. | 109,808 blocks | P | H, A, T |
| Branas et al. (2011) [ | Philadelphia, PA; 1999–2008 | 4436 city lots | G | A, T * |
| Branas et al. (2016) [ | Philadelphia, PA; 1999–2008 | 676 buildings | G | A * |
| Branas et al. (2018) [ | Philadelphia, PA; 2011–2013 | 541 vacant lots | G | A, T * |
| Brown (2018) [ | Philadelphia, PA and Detroit, MI; 2011–2015 | 384 and 297 crimes | P | H, A, T |
| Burley (2018) [ | Portland, OR; 2011–2015 | 93 neighborhoods | V | H, A, T |
| Crewe (2001) [ | Boston, MA; 1996-1998 | 2 neighborhoods | V | A, T |
| Culyba et al. (2016) [ | Philadelphia, PA; 2008–2014 | 143 crimes | P, G | H |
| DeMotto & Davies (2006) [ | Kansas City, KS; 2002 | 40 parks | P | H, A * |
| Deng (2015) [ | Milwaukee, WI; 2005–2010 | 1 city | T | A, T |
| Donahue (2011) [ | New York, NY; 2001–2008 | 59 NYC communities (and 200+ other cities) | T | H, A, T |
| Donovan & Prestemon (2012) [ | Portland, OR; 2005–2007 | 2813 households | T | A, T |
| Garvin et al. (2013) [ | Philadelphia, PA; 2011 | 21 lots | G | A, T * |
| Gilstad-Hayden et al. (2015) [ | New Haven, CT; 2008–2012 | 106 census tracts | T | H, A, T |
| Gorham et al. (2009) [ | Houston, TX; 2005 | 11 community gardens | G | T |
| Harris, Larson, & Ogletree (2018-B) [ | Chicago, IL; 2011-2015 | 138 (Study 1) and 62 (Study 2) census tracts | V | H, A, T |
| Harris (2018) [ | Chicago, IL; 2011–2015 | (see above) | V | H, A, T |
| Heinze et al. (2018) [ | Flint, MI; 2009–2013 | 216 treated lots | G | H, A, T |
| Kim & Hipp (2018) [ | Southern CA; 2010 | 218 cities | P | A, T |
| Kondo et al. (2015) [ | Philadelphia, PA; 2000–2012 | 238 census tracts | U | H, A, T * |
| Kondo et al. (2016) [ | Youngstown, OH; 2010–2014 | 5126 crimes | G | H, A, T |
| Kondo et al. (2017-A) [ | Cincinnati, OH; 2005–2014 | 307 blocks | T | H, A, T |
| Kondo et al. (2017-B) [ | Philadelphia, PA; 2008–2011 | 309 (Study 1) 135 (Study 2) individual victims | T | A * |
| Kuo & Sullivan (2001) [ | Chicago, IL; n.d. | 98 apartment buildings | T | H, A, T |
| Lee (2013) [ | Chicago, IL; 2010 | 150 parks | P | H, A, T |
| Li (2008) [ | Oakland, CA; 2006–2007 | 234 neighborhoods | T | H, A, T |
| Lim (2005) [ | Dallas, TX; n.d. | 1683 blocks | T | H, A, T |
| Locke et al. (2017) [ | New Haven, CT; 1996–2007 | 1193 blocks | V | H, A, T |
| Luke (2013) [ | Cleveland, OH; 2012 | 105 gardeners; 92 non-gardeners; 3 community gardens | G | Safety; sense of community |
| McCord & Houser (2017) [ | Philadelphia, PA and Louisville, KY; 2005–2010 | 307 parks | P | H, A, T |
| Nitkowski (2017) [ | Milwaukee, WI; 2013–2015 | 210 census tracts | P | H, A, T |
| Sadler et al. (2017) [ | Flint, MI; 2005–2014 | 1800 lots | G | H, A, T |
| Schusler et al. (2018) [ | Chicago, IL; 2009–2013 | 801 census tracts | T | H, A, T |
| Seymour et al. (2010) [ | Los Angeles, CA; 2007 | 39 individuals | G | Utilitarian relationships with green alleys |
| Snelgrove et al. (2004) [ | Austin, TX; 1995 | 1170 crimes | T | H, A, T |
| Sparks (2011) [ | San Antonio, TX; 2003–2006 | 235 census tracts | U | H, A |
| Stodolska et al. (2011) [ | Chicago, IL; 2007 | 26 crimes | P | Benefits, concerns of parks |
| Troy et al. (2012) [ | Baltimore, MD; 2007–2010 | 1208 census tracts | T | H, T * |
| Troy et al. (2016) [ | Baltimore, MD; 2007 | 999 households | T | H, A, T * |
| Wilcox et al. (2003) [ | Seattle, WA; 1989–1990 | 100 census tracts | G | Impact of parks and playgrounds on crime perceptions |
| Wolfe & Mennis (2012) [ | Philadelphia, PA; 2005 | 363 census tracts | T | A, T |
TYPE OF GREEN: P Parks (larger than community or neighborhood), G Community greening (alleys, urban gardens, small green space, greening vacant lots), V Vegetated streets and walkways (elevated trails and street tree planting), T Trees and ground cover (grass, tree upgrades), U Less developed green areas (stormwater upgrades, croplands, wetlands, natural spaces, diverse landscaping); TYPE OF CRIME: H Homicide—General, A Assault, Sexual Assault, T Theft, Robbery, Burglary, * Specifies gun crimes.