How Far to Travel? A Multilevel Analysis of the Residence-to-Crime Distance
Objectives This study investigates whether individual- and area-level factors explain variation in the residence-to-crime distances (RC distance) for 10 offense types. Methods Five years of police data from Dallas, Texas, are analyzed using multilevel models (hierarchical-linear/multi-level modeling...
| Autor principal: | |
|---|---|
| Otros Autores: | |
| Tipo de documento: | Electrónico Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2015
|
| En: |
Journal of quantitative criminology
Año: 2015, Volumen: 31, Número: 2, Páginas: 237-262 |
| Acceso en línea: |
Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |
| Journals Online & Print: | Gargar...
|
| Verificar disponibilidad: | HBZ Gateway |
| Palabras clave: |
MARC
| LEADER | 00000naa a22000002c 4500 | ||
|---|---|---|---|
| 001 | 1764275934 | ||
| 003 | DE-627 | ||
| 005 | 20210725061641.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 210725s2015 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s10940-014-9232-7 |2 doi | |
| 035 | |a (DE-627)1764275934 | ||
| 035 | |a (DE-599)KXP1764275934 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 2,1 |2 ssgn | ||
| 100 | 1 | |a Ackerman, Jeffrey M. |e VerfasserIn |4 aut | |
| 109 | |a Ackerman, Jeffrey M. |a Ackerman, Jeff | ||
| 245 | 1 | 0 | |a How Far to Travel? A Multilevel Analysis of the Residence-to-Crime Distance |
| 264 | 1 | |c 2015 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a Objectives This study investigates whether individual- and area-level factors explain variation in the residence-to-crime distances (RC distance) for 10 offense types. Methods Five years of police data from Dallas, Texas, are analyzed using multilevel models (hierarchical-linear/multi-level modeling). Results Residence-to-crime distances for Dallas offenders varied notably across offense types. Although several area characteristics such as residential instability and concentrated immigration were associated with the overall variance in RC distance, neither these nor the individual-level characteristics used in our models explained the offense-type variance in the RC distance. Conclusions Although individual- and neighborhood-level factors did not explain substantial variation in RC distance across the various offenses, neighborhood-level factors explained a significant portion of neighborhood-level variance. Other finding included a curvilinear effect of age on RC distance. The salience of these findings and their implications for future research and offender travel theory are discussed. | ||
| 650 | 4 | |a Journey to crime | |
| 650 | 4 | |a Crime Pattern Theory | |
| 650 | 4 | |a Routine Activity Theory | |
| 700 | 1 | |a Rossmo, D. Kim |e VerfasserIn |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Journal of quantitative criminology |d New York, NY [u.a.] : Springer Science + Business Media B.V., 1985 |g 31(2015), 2, Seite 237-262 |h Online-Ressource |w (DE-627)320578003 |w (DE-600)2017241-2 |w (DE-576)104082321 |x 1573-7799 |7 nnas |
| 773 | 1 | 8 | |g volume:31 |g year:2015 |g number:2 |g pages:237-262 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s10940-014-9232-7 |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 856 | 4 | 0 | |u http://link.springer.com/openurl/fulltext?id=doi:10.1007/s10940-014-9232-7 |x Verlag |z lizenzpflichtig |3 Volltext |
| 935 | |a mkri | ||
| 951 | |a AR | ||
| ELC | |a 1 | ||
| LOK | |0 000 xxxxxcx a22 zn 4500 | ||
| LOK | |0 001 3957448875 | ||
| LOK | |0 003 DE-627 | ||
| LOK | |0 004 1764275934 | ||
| LOK | |0 005 20210725061641 | ||
| LOK | |0 008 210725||||||||||||||||ger||||||| | ||
| LOK | |0 035 |a (DE-2619)KrimDok#2021-07-24#C183E6F0C73F834EBDCCEBB0DC1395C989B08E8E | ||
| LOK | |0 040 |a DE-2619 |c DE-627 |d DE-2619 | ||
| LOK | |0 092 |o n | ||
| LOK | |0 852 |a DE-2619 | ||
| LOK | |0 852 1 |9 00 | ||
| LOK | |0 935 |a zota | ||
| ORI | |a SA-MARC-krimdoka001.raw | ||
