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Spatial analysis of construction accidents in Kampala, Uganda
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management.
2014 (English)In: Safety Science, ISSN 0925-7535, E-ISSN 1879-1042, Vol. 64, 109-120 p.Article in journal (Refereed) Published
Abstract [en]

Construction work is one of the leading sources of occupational injuries and fatalities in Uganda. This paper set out to investigate the causes of construction accidents in Kampala, Uganda using ordinary least squares regression and spatial regression modeling. A cross-sectional survey of 201 large-size building projects commissioned by Kampala City Council in 2008 was undertaken. Data collected from the survey was supplemented by building records from Kampala City Council, safety statistics from the Department of Occupational Safety and Health, and accident investigation reports. The injury rate for Kampala is deduced to be 3797 per 100,000 workers and the fatality rate is 84 per 100,000 workers. The three most prevalent causes of accidents in Kampala are mechanical hazards (i.e. struck by machines, vehicles, hand tools, cutting edges, etc.), being hit by falling objects and falls from height. Congestion, a phenomenon which arises when there is evidence of high building density amidst many fulltime workers on site, is discussed. Through spatial statistical analysis, construction accidents that occur at one location were found to be related to those that occur in the neighborhood. To mitigate accidents occurrence, policies on regulating working hours, provision of safety equipment, equipment maintenance and on standards of acceptable building densities are suggested.

Place, publisher, year, edition, pages
2014. Vol. 64, 109-120 p.
Keyword [en]
Accident, Construction industry, Regression modeling, Spatial analysis
National Category
Construction Management
Identifiers
URN: urn:nbn:se:kth:diva-140789DOI: 10.1016/j.ssci.2013.11.024ISI: 000331485300012Scopus ID: 2-s2.0-84890853151OAI: oai:DiVA.org:kth-140789DiVA: diva2:693023
Note

QC 20140203

Available from: 2014-02-03 Created: 2014-01-31 Last updated: 2017-12-06Bibliographically approved
In thesis
1. Modelling of Construction Safety Performance and Housing Markets in Kampala, Uganda
Open this publication in new window or tab >>Modelling of Construction Safety Performance and Housing Markets in Kampala, Uganda
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The construction industry in Uganda is characterized by a high incidence rate of accidents. During the late 1990s, an annual average of 49 accidents were reported in the construction industry while during the period 2001 to 2005, the annual average for this sector was 103 cases. Between 2006 and 2010, more construction accidents were registered with a total of 49 fatalities reported in Kampala metropolitan area alone. This trend has continued up to the present date. Meanwhile, the demand for housing in Uganda exceeds supply resulting into a huge housing deficit. Rapid population growth without matching housing facilities has been cited as the main cause of the housing deficit. Land holding in Uganda is characterized by multiple rights of ownership, and high social costs including land conflicts and violent evictions. Reportedly, these developments are affecting the performance of the housing sector. Given the above background, the aim of this thesis is to propose policies and strategies for improvement of construction safety performance and the housing sector in Uganda.

The thesis is based on two broad themes i.e. construction safety performance and housing markets. Although the research themes are unique in their own right, they both address pertinent issues concerning the construction industry in Uganda. Whereas the first theme investigates accidents as events that affect the production of construction infrastructure (including housing), the second theme handles topical issues which affect the demand and supply for housing in Uganda. The study area is Kampala, the capital city of Uganda. In addition to the overview chapter, this thesis contains four research papers. The first two papers relate to theme on construction safety performance whereas the last two papers relate to theme on housing markets.

The first paper investigates the causes of construction accidents in Kampala, establishes the prevailing injury and fatality rates, examines spatial patterns in occurrence of accidents and thereafter, proposes strategies of mitigating accidents. The second paper investigates how undiscovered rework (defined as unnecessary effort of redoing a process or activity that is incorrectly implemented the first time) leads to accidents, develops a computer based model for simulating occurrence of accidents on projects and thereafter, proposes strategies of reducing rework related accidents. Evidently, the first paper is explorative investigating construction safety issues at industry level, whereas the second paper is more specific studying safety dynamics at project level. The third paper investigates how the choice of land tenure system affects housing values and thereafter, proposes strategies of mitigating the negative effects of land tenure on the housing market. Finally, the fourth paper examines how population changes affect the housing needs of a city, develops a computer based model for simulating the city population and housing needs, and experiments a plethora of housing policy proposals.

Overall, findings of this thesis such as the concept of spatial dependence in occurrence of construction accidents, where accidents at one location were found to be associated with those which occur in the neighborhood; the phenomenon of congestion, defined in this thesis as the existence of high building density amidst many fulltime workers on site, and its significant association with accidents occurrence; and the uniqueness of private mailo land tenure system and the 12% premium it offers in housing values amidst high social costs, are unique contributions to the existing body of knowledge.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2015. vii, 40 p.
Series
Trita-KTH-CEFIN-DT, 12
Keyword
accidents, construction industry, housing markets, spatial rgression modelling, system dynamics
National Category
Engineering and Technology
Research subject
Real Estate and Construction Management
Identifiers
urn:nbn:se:kth:diva-166816 (URN)
Public defence
2015-06-08, F3, Lindstedsvagen 26, KTH, Stockholm, 13:00 (English)
Opponent
Supervisors
Projects
None
Funder
Sida - Swedish International Development Cooperation Agency
Note

ISBN: 978-91-87111-05-01

QC 20150522

Available from: 2015-05-22 Created: 2015-05-18 Last updated: 2017-02-23Bibliographically approved

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