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Title: Replication data for: Group Segregation and Urban Violence      
dateReleased:
03-31-2015
downloadURL: http://hdl.handle.net/1902.1/20652
ID:
hdl:1902.1/20652
description:
How does segregation shape inter-group violence in contested urban spaces? Should nominal rivals be kept separate, or instead more closely integrated? We develop an empirically grounded agent-based model to understand the sources and patterns of violence in urban areas, employing Jerusalem as a demonstration case and seeding our model with micro-level, geocoded data on settlement patterns. An optimal set of parameters is selected to best fit the observed spatial distribution of violence in the city, with the calibrated model used to assess how different levels of segregation, reflecting various proposed “virtual futures” for Jerusalem, would shape violence. Our results suggest that besides spatial proximity, social distance is key to explaining conflict over urban areas: arrangements conducive to reducing the extent of inter-group interactions—including localized segregation, limits on mobility and migration, partition, and differentiation of political authority—can be expected to dampen violence, although the effect of these structural changes depends decisively on social distance.
description:
Bhavnani, Ravi; Donnay, Karsten; Miodownik, Dan; Mor, Maayan; Helbing, Dirk, 2013, "Replication data for: Group Segregation and Urban Violence", http://hdl.handle.net/1902.1/20652, Harvard Dataverse, V2
name:
Bhavnani, Ravi
Donnay, Karsten
Miodownik, Dan
Mor, Maayan
Helbing, Dirk
homePage: http://www.harvard.edu/
name:
Harvard University
ID:
SCR:011273
abbreviation:
DataVerse
homePage: http://thedata.org/
name:
Dataverse Network Project
ID:
SCR:001997

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