Abstract:

The overall aim of this study was to determine the predictors of disaster preparedness and resilience towards future hydrocarbon (oil spill) disasters, among individuals residing in Gulf of Mexico communities. This dataset contains in-person surveys data that were collected with a total of 326 residents from the Gulf Coast communities of Galliano, Louisiana; Port Sulphur, Louisiana; and Bayou La Batre, Alabama between June and November of 2017. The survey collected data on social networks, oil spill associations, past disaster exposure, protective action decision making, perceived oil spill consequences, interdependence questions, resilience attributes, and demographics. This dataset supports the publication: Patel, M., Saltzman, L., Ferreira, R., & Lesen, A. (2018). Resilience: Examining the Impacts of the Deepwater Horizon Oil Spill on the Gulf Coast Vietnamese American Community. Social Sciences, 7(10), 203. doi:10.3390/socsci7100203

Suggested Citation:

Amy Lesen. 2019. In-person disaster preparedness and resilience survey in three Gulf Coast communities. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/n7-h9ty-ce44

Publications:

Patel, M., Saltzman, L., Ferreira, R., & Lesen, A. (2018). Resilience: Examining the Impacts of the Deepwater Horizon Oil Spill on the Gulf Coast Vietnamese American Community. Social Sciences, 7(10), 203. doi:10.3390/socsci7100203

Lesen, A., Tucker, C., Olson, M., & Ferreira, R. (2019). “Come Back at Us”: Reflections on Researcher-Community Partnerships during a Post-Oil Spill Gulf Coast Resilience Study. Social Sciences, 8(1), 8. doi:10.3390/socsci8010008

Liddell, J. L., Saltzman, L. Y., Ferreira, R. J., & Lesen, A. E. (2020). Cumulative disaster exposure, gender and the protective action decision model. Progress in Disaster Science, 5, 100042. doi:10.1016/j.pdisas.2019.100042

Lightfoot, E. S., Lesen, A. E., & Ferreira, R. J. (2020). Gender and resilience in Gulf Coast communities: Risk and protective factors following a technological disaster. International Journal of Disaster Risk Reduction, 50, 101716. doi:10.1016/j.ijdrr.2020.101716

Finucane, M., Clark-Ginsberg, A., Parker, A., Becerra-Ornelas, A., Clancy, N., Ramchand, R., … Black, A. B. (2020). Building Community Resilience to Large Oil Spills: Findings and Recommendations from a Synthesis of Research on the Mental Health, Economic, and Community Distress Associated with the Deepwater Horizon Oil Spill. doi:10.7249/rra409-1

Purpose:

Collection of information on individual members of Gulf Coast communities preparedness for disasters, social network experiences, and specific experience of identified disasters.

Data Parameters and Units:

All_data_final_Tulane_RAND.csv.txt: Column A (serial number), DATECOL (Data collection date and time; mm/dd/yyyy tt:ss), Site (1 = Galliano, LA; 2 = Port Sulphur, LA; 3 = Bayou La Batre, AL), SurveyID (Participant ID), Column E-GV (SOCNET1A-SOCNET108B6; data on social network), Column GW-HB (IMAGERY1-VALENCE3; data related to oil spill imagery/associations of respondents from their past experiences), Column HC-JG (DIS1-DIS6YES99; data on respondent's past disaster experience), Column JH-JW (PROTECT1-PRISK3; data on Protective Action Decision Model-PADM), Column JX-KB (RETRAINING1-RELOCATION2; data related to Interdependence regarding views and experiences on education and work), Column KC-KL (RES1-RES10; data on Connor-Davidson Resilience Scale based on their response to change and stress), Column KM-MD (SEX1-GENERATIONS1; data on demographics, mainly the information related to respondent themselves and their households). Please note this file can be opened with delimiter and with a semicolon, and all the codes used in this data file are defined in Preparedness and Resilience Codebook V7_061118_AEL.docx file. SURVEY plain text.txt: Includes questionnaire that was used for interviews during the survey. Preparedness and Resilience Codebook V7_061118_AEL.docx: This is a survey codebook and includes the variable, variable label, value, value label, and notes regarding disaster preparedness and resilience survey data that are included in All_data_final_Tulane_RAND.csv.txt file. Note: 99 = Not Applicable/Data Missing/Unknown/None.

Methods:

Data were collected via 60 minute in-person surveys that were administered to a total of 326 residents from the Gulf Coast communities of Port Sulphur, Louisiana, Galliano, Louisiana, and Bayou La Batre, Alabama from June 6 to November 13, 2017.

Instruments:

Statistical analysis was with STATA (version 13.1).

Individual Files: