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Microcycles of Terrorist Violence in Turkey: a Spatio-temporal Analysis of the PKK Attacks

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Abstract

Geography and time are the two constraints on illegal acts. The extant research on terrorism suggests that terrorists make an expected cost-benefit analysis, and thus make bounded, rational choices regarding their attacks. They carry out attacks that are likely to benefit their organizational goals, and they commit attacks choosing the easiest way with the least effort. This assumption leads to the conclusion that their attacks are likely to be clustered over space and time, and hence predictable. The purpose of this study is to examine whether the attacks of the PKK—a separatist terrorist organization—form microcycles in Turkey. In this study, we use the Global Terrorism Database (GTD) to examine 1261 terrorist attacks of which locations are known and attributed to the PKK. Our research findings suggest significant evidence to conclude that a pattern exists over both space and time regarding distribution of the terrorist attacks. Results from our logistic regression model demonstrate that non-lethal attacks or those occurring in Istanbul or Ankara are more likely to be contagious. We argue that our research findings and policy implications could be useful to create more effective terrorism prevention strategies and policies.

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Notes

  1. We used data from the Global Terrorism Database (GTD) that attributes 2025 incidents between 1984 and 2016 only to the PKK.

  2. Behlendorf et al. (2012) studied the FMLN and ETA as two of the most prolific terrorist organizations in the GTD. The PKK is similar to both FMLN and ETA in that sense, because it has the ninth highest number of terrorist attacks in the GTD.

  3. In the present study, we found the same exact percentage as LaFree and Dugan (2017); 84% of all attacks by the PKK are bombings, armed assaults, and assassinations in our dataset (see Table 3).

  4. START Center, Global Terrorism Database Codebook (http://www.start.umd.edu/gtd/downloads/Codebook.pdf, 2015)

  5. The terrorist group’s name in the GTD is stored in three fields: gname, gname2, and gname3. If the group name in any of these three fields included the following names, the attack was assumed to be PKK’s:

    1. 1.

      Kurdish Marxist Separatists—1 incident

    2. 2.

      Kurdish Militants—4 incidents

    3. 3.

      Kurdish Rebels—3 incidents

    4. 4.

      Kurdish Separatists—7 incidents

    5. 5.

      Kurdish guerrillas—2 incidents

    6. 6.

      Kurdistan Freedom Hawks (TAK)—17 incidents

    7. 7.

      Kurdistan Workers’ Party (PKK)—1983 incidents

    8. 8.

      Kurds—7 incidents

    9. 9.

      Patriotic Union of Kurdistan (PUK)—1 incident

  6. If the number in the actual Knox table is larger than the numbers in 99% of the simulated Knox tables, then it means the number in the actual Knox table is larger than expected at the p level of about 0.01. If the number in the actual Knox table is larger than the numbers in 99.9% of the simulated Knox tables, then it means the number in the actual Knox table is larger than expected at the p level of about 0.001.

  7. Nine different attack types were recorded in the GTD, including armed assault, assassination, bombing/explosion, facility/infrastructure attack, hijacking, hostage taking (barricade incident), hostage taking (kidnapping), unarmed assault, and unknown. However, very few of the attacks by the PKK involved hijackings (N = 2), barricade incidents (N = 6), or unarmed assaults (N = 2). Therefore, dummy variables were not created for these three attack types. In addition, there were five attack type fields in the GTD (attackty_1, attackty_2, attackty_3, attackty_4, and attackty_5). If the value in any of these fields was, for example, “armed assault,” then the “armed assault” variable was coded as 1.

  8. There are three target type fields in the GTD (targtype1_, targtype2_, and targtype3_). If the value in any of these fields was, for example, “police,” then the “police” variable was coded as 1.

  9. Istanbul is the most populous city of Turkey and it is an economic and cultural capital. Ankara is the capital city of Turkey. Diyarbakir is the most populous city in the southeastern region of Turkey that can be considered a regional capital.

  10. OHAL stands for Olaganustu Hal (i.e., State of Emergency in Turkish language). From 1987 to 2002, 14 of the provinces in the southeastern region of Turkey were under a State of Emergency rule. These provinces were known as OHAL provinces. They were highly populated with ethnic Kurds and the PKK had (still has) a higher level of popular support in these provinces. Thus, they can be considered “defended spaces” according to Behlendorf et al.’s (2012) definition.

  11. This is interesting because nearly 49% of the attacks in the GTD are bombings/explosions and 24% of the attacks are armed assaults. In the PKK case, the proportion of bombings (34%) is smaller and the proportion of armed assaults (43%) is much larger than the proportions of these types of attacks in the GTD. This may be because of the nature of the PKK violence; namely, because it is mainly a rural insurgency.

  12. Whether or not an incident is in a microcycle depends on what date it happened. Some incidents had approximate dates in the GTD, and we initially used the approximate date in the analyses as if it was the exact date of the incident. Then, we excluded the incidents with approximate dates and reconducted the same analysis. The results were virtually the same. Therefore, we present the results for which we used all available data, those with exact and with approximate dates, for the analyses.

  13. The coefficient for the defended space variable is close to statistical significance; see the z value in Table 2.

References

  • Akyuz, K., & Armstrong, T. (2011). Understanding the sociostructural correlates of terrorism in Turkey. International Criminal Justice Review, 21(2), 134–155.

    Article  Google Scholar 

  • Barabási, A.-L. (2005). The origin of bursts and heavy tails in human dynamics. Nature, 435(7039), 207–211.

    Article  Google Scholar 

  • Basibuyuk, O. (2008). Social (dis) organization and terror related crimes in Turkey. Unpublished doctoral dissertation, University of North Texas.

  • Behlendorf, B., LaFree, G., & Legault, R. (2012). Microcycles of violence: evidence from terrorist attacks by ETA and the FMLN. Journal of Quantitative Criminology, 28, 49–75.

    Article  Google Scholar 

  • Benmelech, E., Berrebi, C., & Klor, E. F. (2012). Economic conditions and the quality of suicide terrorism. The Journal of Politics, 74(1), 113–128.

    Article  Google Scholar 

  • Berrebi, C., & Klor, E. F. (2006). On terrorism and electoral outcomes: theory and evidence from the Israeli-Palestinian conflict. The Journal of Conflict Resolution, 50(6), 899–925.

    Article  Google Scholar 

  • Berrebi, C., & Lakdawalla, D. (2007). How does terrorism risk vary across space and time? An analysis based on the Israeli experience. Defense and Peace Economics, 18(2), 113–131.

    Article  Google Scholar 

  • Bilgel, F., & Karahasan, B. C. (2017). The economic costs of separatist terrorism in Turkey. Journal of Conflict Resolution, 61(2), 457–479.

    Article  Google Scholar 

  • Blomberg, B. S., Gaibulloev, K., & Sandler, T. (2011). Terrorist group survival: ideology, tactics, and base of operations. Public Choice, 149(3–4), 441–463.

    Article  Google Scholar 

  • Bohorquez, J. C., Gourley, S., Dixon, A. R., Spagat, M., & Johnson, N. F. (2009). Common ecology quantifies human insurgency. Nature, 462(17), 911–914.

    Article  Google Scholar 

  • Braithwaite, A., & Johnson, S. D. (2012). Space–time modeling of insurgency and counterinsurgency in Iraq. Journal of Quantitative Criminology, 28(1), 31–48.

    Article  Google Scholar 

  • Braithwaite, A., & Johnson, S. D. (2015). The battle for Baghdad: testing hypotheses about insurgency from risk heterogeneity, repeat victimization, and denial policing approaches. Terrorism and Political Violence, 27(1), 112–132.

    Article  Google Scholar 

  • Braithwaite, A., & Li, Q. (2007). Transnational terrorism hotspots: identification and impact evaluation. Conflict Management and Peace Science, 24, 281–296.

    Article  Google Scholar 

  • Brandt, P. T., & Sandler, T. (2010). What do transnational terrorists target? Has it changed? Are we safer? Journal of Conflict Resolution, 54(2), 214–236.

    Article  Google Scholar 

  • Buhaug, H., & Gates, S. (2002). The geography of civil war. Journal of Peace Research, 39(4), 417–433.

    Article  Google Scholar 

  • Buhaug, H., & Rod, K. J. (2006). Local determinants of African civil wars, 1970-2001. Political Geography, 25, 315–335.

    Article  Google Scholar 

  • Ciftci, I., & Kula, S. (2015). The evaluation of the effectiveness of counterterrorism policies on the PKK-inflicted violence during the democratization process of Turkey. Journal of Terrorism Research, 6(1), 27–42.

    Article  Google Scholar 

  • Clark, R. V., & Newman, G. R. (2006). Outsmarting the terrorists. New York: Preager.

    Google Scholar 

  • Clarke, R. V., & Cornish, D. B. (1985). Modeling offenders’ decisions: a framework for research and policy. Crime and Justice, 6, 147–185.

    Article  Google Scholar 

  • Clauset, A., & Gleditsch, K. S. (2012). The developmental dynamics of terrorist organizations. PLoS One, 7(11), e48633. https://doi.org/10.1371/journal.pone.0048633.

    Article  Google Scholar 

  • Cornish, D. B., & Clarke, R. V. (1987). Understanding crime displacement: an application of rational choice theory. Criminology, 25(4), 933–947.

    Article  Google Scholar 

  • Cornish, D. B., & Clarke, R. V. (2008). The rational choice perspective. In R. Wortley & L. Mazerolle (Eds.), Environmental Criminology and Crime Analysis. Uffculme: Willan Publishing.

    Google Scholar 

  • Cothren, J., Smith, B. L., Roberts, P., & Damphousse, K. R. (2008). Geospatial and temporal patterns of preparatory conduct among American terrorists. International Journal of Comparative and Applied Criminal Justice, 32(1), 23–41.

    Article  Google Scholar 

  • Cubukcu, S., & Forst, B. (2018). Measuring terrorism. Homicide Studies, 22(1), 94–116.

    Article  Google Scholar 

  • Dahlman, C. (2002). The political geography of Kurdistan. Eurasian Geography and Economics, 43(4), 271–299.

    Article  Google Scholar 

  • de Mesquita, E. B., & Dickson, E. S. (2007). The propaganda of the deed: terrorism, counterterrorism, and mobilization. American Journal of Political Science, 51(2), 364–381.

    Article  Google Scholar 

  • Demirci, S., & Suen, S. I. (2007). Spatial pattern analysis of PKK-KONGRA GEL terror incidents in Turkey: 2003–2004. In O. Nikbay & S. Hancerli (Eds.), Understanding and Responding to the Terrorism Phenomenon: A MultiDimensional Perspective (pp. 153–163).

    Google Scholar 

  • Drake, C. J. M. (1998). The role of ideology in terrorists’ target selection. Terrorism and Political Violence, 10(2), 53–85.

    Article  Google Scholar 

  • Dugan, L., LaFree, G., & Piquero, A. R. (2005). Testing a rational choice model of airline hijackings. Criminology, 43(4), 1031–1065.

    Article  Google Scholar 

  • Eder, M. (2016). Turkey. In E. Lust (Ed.), The Middle East. Thousand Oaks: SAGE.

    Google Scholar 

  • Ekici, N., Ozkan, M., Celik, A., & Maxfield, M. G. (2008). Outsmarting terrorists in Turkey. Crime Prevention and Community Safety, 10, 126–139.

    Article  Google Scholar 

  • Felson, M., & Eckert, M. A. (2016). Crime and everyday life (5th ed.). Thousand Oaks: SAGE Publications.

    Google Scholar 

  • Findley, M. G., Braithwaite, A., Young, J. K., Marineau, J. F., and Pascoe, H. (2015). The local geography of transnational terrorism. In International Studies Association Annual Meeting, New Orleans, Louisiana.

  • Griffiths, G., Johnson, S. D., & Chetty, K. (2017). UK-based terrorists’ antecedent behavior: a spatial and temporal analysis. Applied Geography, 86, 274–282.

    Article  Google Scholar 

  • Grove, L. E., Farrell, G., Farrington, D. P., & Johnson, S. D. (2012). Preventing repeat victimization: a systematic review. Stockholm: Swedish National Council for Crime Prevention.

    Google Scholar 

  • Grubb, J. A., & Nobles, M. R. (2016). A spatiotemporal analysis of arson. Journal of Research in Crime and Delinquency, 53(1), 66–92.

    Article  Google Scholar 

  • Grubesic, T. H., & Mack, E. A. (2008). Spatio-temporal interaction of urban crime. Journal of Quantitative Criminology, 24(3), 285–306.

    Article  Google Scholar 

  • Haberman, C. P., & Ratcliffe, J. H. (2012). The predictive policing challenges of near repeat armed street robberies. Policing: A Journal of Policy and Practice, 6(2), 151–166.

    Article  Google Scholar 

  • International Crisis Group. (2017). Managing Turkey’s PKK conflict: the case of Nusaybin. Europe Report N°243, Brussels, 2 May 2017. Retrieved from https://d2071andvip0wj.cloudfront.net/243-managing-turkey-s-pkk-conflict-the-case-of-nusaybin.pdf. Accessed Apr 2019.

  • Johnson, S. D., & Bowers, K. J. (2014). Near repeats and crime forecasting. In G. Bruinsma & D. Weisburd (Eds.), Encyclopedia of criminology and criminal justice (pp. 3242–3254). New York: Springer.

    Chapter  Google Scholar 

  • Johnson, S. D., Summers, L., & Pease, K. (2009). Offender as forager? A direct test of the boost account of victimization. Journal of Quantitative Criminology, 25(2), 181–200.

    Article  Google Scholar 

  • Johnson, N., Carran, S., Botner, J., Fontaine, K., Laxague, N., Nuetzel, P., Turnley, J., & Tivnan, B. (2011). Pattern in escalations in insurgent and terrorist activity. Science, 333, 81–84.

    Article  Google Scholar 

  • Kibris, A. (2011). Funerals and elections: the effects of terrorism on voting behavior in Turkey. Journal of Conflict Resolution, 55(2), 220–247.

    Article  Google Scholar 

  • Klein, B. R., Gruenewald, J., & Smith, B. L. (2017). Opportunity, group structure, temporal patterns, and successful outcomes of far-right terrorism incidents in the United States. Crime and Delinquency, 63(10), 1224–1249.

    Article  Google Scholar 

  • Knox, G. (1964). Group epidemiology of childhood leukaemia in Northumberland and Durham. British Journal of Preventive and Social Medicine, 18(1), 17–24.

    Google Scholar 

  • Koseli, M. (2006). Poverty, inequality and terrorism relationship in Turkey. Unpublished doctoral dissertation, Virginia Commonwealth University Richmond, Virginia.

  • Kydd, A. H., & Walter, B. F. (2006). The strategies of terrorism. International Security, 31(1), 49–80.

    Article  Google Scholar 

  • LaFree, G., & Bersani, B. E. (2014). County-level correlates of terrorist attacks in the United States. Criminology & Public Policy, 13(3), 455–481.

    Article  Google Scholar 

  • LaFree, G., & Dugan, L. (2017). Trends in global terrorism, 1970-2008. In Hewitt JJ, Wilkenfeld J, Gurr TR (eds) Peace and Conflict 2012 (pp. 39–52). Routledge.

  • LaFree, G., Morris, N. A., & Dugan, L. (2010). Cross-national patterns of terrorism: comparing trajectories for total, attributed and fatal attacks 1970-2006. British Journal of Criminology, 50, 622–649.

    Article  Google Scholar 

  • LaFree, G., Dugan, L., Xie, M., & Singh, P. (2012). Spatial and temporal patterns of terrorist attacks by ETA, 1970 to 2007. Journal of Quantitative Criminology, 28(1), 7–29.

    Article  Google Scholar 

  • LaFree, G., Dugan, L., & Miller, E. (2015). Putting terrorism in context: insights from the Global Terrorism Database. London: Routledge.

    Google Scholar 

  • Lockwood, B. (2012). The presence and nature of a near-repeat pattern of motor vehicle theft. Security Journal, 25(1), 38–56.

    Article  Google Scholar 

  • Lyall, J. (2009). Does indiscriminate violence incite insurgent attacks? Evidence from Chechnya. Journal of Conflict Resolution, 53(3), 331–362.

    Article  Google Scholar 

  • Marchione, E., & Johnson, S. D. (2013). Spatial, temporal and spatio-temporal patterns of maritime piracy. Journal of Research in Crime and Delinquency, 50(4), 504–524.

    Article  Google Scholar 

  • Marchment, Z., Bouhana, N., & Gill, P. (2018). Lone actor terrorists: a residence-to-crime approach. Terrorism and Political Violence, 1–26. https://doi.org/10.1080/09546553.2018.1481050.

  • Martens, A., Sainudiin, R., Sibley, C. G., Schimel, J., & Webber, D. (2014). Terrorist attacks escalate in frequency and fatalities preceding highly lethal attacks. PLoS One, 9(4), e93732. https://doi.org/10.1371/journal.pone.0093732.

    Article  Google Scholar 

  • Midlarsky, M. I., Crenshaw, M., & Yoshida, F. (1980). Why violence spreads: the contagion of international terrorism. International Studies Quarterly, 24(2), 262–298.

    Article  Google Scholar 

  • Morris, N. A., & Slocum, L. A. (2012). Estimating country-level terrorism trends using group-based trajectory analyses: latent class growth analysis and general mixture modeling. Journal of Quantitative Criminology, 28, 103–139.

    Article  Google Scholar 

  • Nemeth, S. C., Mauslein, J. A., & Stapley, C. (2014). The primacy of the local: identifying terrorist hot spots using geographic information systems. The Journal of Politics, 76(2), 304–317.

    Article  Google Scholar 

  • North, B. V., Curtis, D., & Sham, P. C. (2002). A note on the calculation of empirical p values from Monte Carlo procedures. American Journal of Human Genetics, 71(2), 439–441.

    Article  Google Scholar 

  • Öcal, N., & Yildirim, J. (2010). Regional effects of terrorism on economic growth in Turkey: a geographically weighted regression approach. Journal of Peace Research, 47(4), 477–489.

    Article  Google Scholar 

  • Onat, I. (2016). An analysis of spatial correlates of terrorism using risk terrain modeling. Terrorism and Political Violence, 1–26. https://doi.org/10.1080/09546553.2016.1215309.

  • Onat, I., & Çubukçu, S. (2019). Unresolved conflict, urban insurgency and devastating consequences in Turkey between 2015 and 2016b. Journal of Policing, Intelligence and Counter Terrorism, 14(2), 164–182.

    Article  Google Scholar 

  • Onat, I., & Gul, Z. (2018). Terrorism risk forecasting by ideology. European Journal on Criminal Policy and Research, 24, 1–17. https://doi.org/10.1007/s10610-017-9368-8.

    Article  Google Scholar 

  • Ozer, M., & Akbas, H. (2011). The application of situational crime prevention to terrorism. Turkish Journal of Police Studies, 13(2), 179–194.

    Google Scholar 

  • Pape, R. A. (2003). The strategic logic of suicide terrorism. The American Political Science Review, 97(3), 343–361.

    Article  Google Scholar 

  • Piza, E. L., & Carter, J. G. (2018). Predicting initiator and near repeat events in spatiotemporal crime patterns: an analysis of residential burglary and motor vehicle theft. Justice Quarterly, 35(5), 842–870.

    Article  Google Scholar 

  • Ratcliffe, J. H., & Rengert, G. F. (2008). Near-repeat patterns in Philadelphia shootings. Security Journal, 21(1–2), 58–76.

    Article  Google Scholar 

  • Rieber-Mohn, J. H., & Tripathi, K. (2019). An investigation into microcycles of violence by the Taliban. Security Journal, 1–22.

  • Rossmo, K. D., & Harries, K. (2011). The geospatial structure of terrorist cells. Justice Quarterly, 28(2), 221–248.

    Article  Google Scholar 

  • Rusnak, D. M., Kennedy, L. W., Eldivan, I. S., & Caplan, J. M. (2012). Analyzing terrorism using spatial analysis techniques: a case study of Turkish cities. In C. Lum & L. W. Kennedy (Eds.), Evidence-based counterterrorism policy (pp. 167–185). New York: Springer.

    Chapter  Google Scholar 

  • Savitch, H. V. (2014). Cities in a time of terror: space, territory, and local resilience. New York: Routledge.

    Book  Google Scholar 

  • Savitch, H. V., & Ardashev, G. (2001). Does terror have an urban future? Urban Studies, 38(13), 2515–2533.

    Article  Google Scholar 

  • Sturup, J., Rostami, A., Gerell, M., & Sandholm, A. (2018). Near-repeat shootings in contemporary Sweden 2011 to 2015. Security Journal, 31(1), 73–92.

    Article  Google Scholar 

  • Tezcür, G. M. (2010). When democratization radicalizes: the Kurdish nationalist movement in Turkey. Journal of Peace Research, 47(6), 775–789.

    Article  Google Scholar 

  • Townsley, M., & Oliveira, A. (2015). Space-time dynamics of maritime piracy. Security Journal, 28(3), 217–229.

    Article  Google Scholar 

  • Townsley, M., Homel, R., & Chaseling, J. (2003). Infectious burglaries. A test of the near repeat hypothesis. British Journal of Criminology, 43(3), 615–633.

    Article  Google Scholar 

  • Townsley, M., Johnson, S. D., & Ratcliffe, J. H. (2008). Space time dynamics of insurgent activity in Iraq. Security Journal, 21, 139–146.

    Article  Google Scholar 

  • Webb, J. J., & Cutter, S. L. (2009). The geography of US terrorist incidents, 1970–2004. Terrorism and Political Violence, 21(3), 428–449.

    Article  Google Scholar 

  • Weisburd, D. (2015). The law of crime concentration and the criminology of place. Criminology, 53(2), 133–157.

    Article  Google Scholar 

  • Wilson, M. A., Scholes, A., & Brocklehurst, E. (2010). A behavioral analysis of terrorist action: The assassination and bombing campaigns of ETA between 1980 and 2007. British Journal of Criminology, 50, 690–707.

    Article  Google Scholar 

  • Wortley, R., & Mazerolle, L. (2008). Environmental criminology and crime analysis. New York: Routledge.

    Google Scholar 

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Duru, H., Onat, I., Akyuz, K. et al. Microcycles of Terrorist Violence in Turkey: a Spatio-temporal Analysis of the PKK Attacks. Asian J Criminol 16, 235–256 (2021). https://doi.org/10.1007/s11417-020-09326-z

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