Examining Local Malls Disaster Mitigation and Preparedness Strategy Against Terror Attacks in Nairobi
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Date
2023Author
Mutungi, Everlyne M
Type
ThesisLanguage
enMetadata
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This study was carried out against the backdrop of the Westgate shopping mall attack in Nairobi
and an era of increasing terror attacks on soft targets globally. Notably, additional incidences in
Kenya include the Dusitd2 attack of January 2019. Despite the Westgate attack being a key
reference learning point for global disaster managers, few studies exist in Kenya on mitigation
and preparedness strategies against terror attacks in shopping malls. This study aimed at
contributing to knowledge on mitigation and preparedness for terror attacks in shopping malls
using the case study of one of the largest new malls in the city in an affluent neighborhood, by
examining the mitigation and disaster preparedness strategies against terror attacks. The study
was guided by the following objectives: the role of mitigation and preparedness strategy for city
malls; assess how the setup of security Management Systems of the Mall contributes to the
mitigation and preparedness strategy; determine the nature of training offered to the security
management team at the Mall and to assess the challenges faced by the mall disaster response
department in the implementation of the mitigation and preparedness strategy against terrorism,
and their key recommendations. The study used the Rational choice theory (RCT), and the circle
capacities theory as a basis for framing the significance of disaster preparedness and mitigation.
The study employed a descriptive research design targeting 262 security officers to whom
questionnaires were administered and 5 mall managers as KIIs. Stratified random sampling was
used to divide the security officers into strata based on role hierarchy from an existing employee
database and simple random sampling to select respondents from each strata. Observation
method was also used to observe the security management systems deployed at the mall.
Quantitative Data collected was analysed by coding and interpreting which was then presented
as frequencies, percentages tables, pie charts, histograms, and thematic discussion after content
analysis of the qualitative data. The study‘s major findings and recommendations were noted as
follows: The mall‘s strategy was adequate to mitigate and prepare against a terror attack since
the mall has in place an advanced security management system that comprises among others, a
large number of CCTV cameras that use revolutionary technology to offer security solutions,
and an X-ray screening system that detects any hidden weapons in vehicles and on pedestrians,
as well as retractable bollards that ensure that an individual cannot forcefully gain access. The
mall has deployed an adequate number of security guards that are complemented by armed
police officers to ensure the safety of their customers. The mall management regularly conducts
a comprehensive training program that is oriented toward terrorism. Joint emergency and
security drills between the mall and other emergency and security agents including international
security agents are conducted regularly to enhance the security and disaster response posture of
the mall. Some of the challenges noted in the implementation of the strategy include the need for
the mall to ensure gender equity in terms of the deployment of its security officers The high
turnover of guards poses a challenge to the training of security guards at the mall, who have to
be retrained regularly. The study recommends that city malls enhance the disaster and mitigation
strategy against terror attacks through measures such as conducting risk assessments, drafting
and implementing emergency plans, deployment of effective security management systems,
conducting continuous training and promoting collaboration with security state agents and
emergency responders
Publisher
University of Nairobi
Rights
Attribution-NonCommercial-NoDerivs 3.0 United StatesUsage Rights
http://creativecommons.org/licenses/by-nc-nd/3.0/us/Collections
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