Synthesis of quantitative and qualitative evidence for accident analysis in risk-based highway planning

Lambert, James H.; Peterson, Kenneth D.; Joshi, Nilesh N.

doi:10.1016/j.aap.2006.03.003

Cited by 26 publications

(7 citation statements)

References 19 publications

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“…Furthermore, the analytic network process may not be amenable to handling combinatorial decision spaces such as those that occur in resource allocation. Lambert et al [ , 2005Lambert, Peterson, and Joshi, 2006] explore solutions to MOCO problems in part developing graphical decision aids that elicit tradeoffs among costs, benefits, and risks in the choices among project portfolios. The emphasis of this earlier work has been to integrate both the quantified and nonquantified aspects of system goals in the selection of transportation improvements.…”

Section: Related Literaturementioning

confidence: 99%

“…In particular, a relationship between the allocated resources and the broad and conceptual system goals was illuminated, complementing the traditional approaches of multiobjective optimization involving quantified objectives. Lambert et al [ , 2005Lambert, Peterson, and Joshi, 2006] stopped short of formalizing the developed approach, providing a point of departure for the current paper. in a similar philosophical direction quantified the diversification of project investments across goals, geography, and organizational units, complementing a traditional MOCO.…”

Section: Related Literaturementioning

confidence: 99%

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Diagramming qualitative goals for multiobjective project selection in large‐scale systems

Martinez¹,

Joshi²,

Lambert³

2011

Systems Engineering

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Allocating resources to competing projects is typically driven by multiple quantified objectives generated from the top-level goals of a large-scale system. Analytical tools to aid such allocations have a significant history with many existing methodologies, particularly for optimization and programming within a hierarchy of objective functions. However, the quantified objective functions are known to only partially represent the system goals, and significant challenges remain to preserve relevant considerations that resisted quantification. In particular, the patterns of allocation of resources across the goals may be important to decision-makers, since they could thereby address known, quantifiable issues with some consideration of unknown and emergent issues. This paper develops decision-aiding diagrams of toplevel goals and resources that complement the existing multiobjective combinatorial optimization models, to better refine and choose among the optimization-generated portfolios of projects. Adapting existing path diagrams from the social sciences, the newly developed methodology can be subordinate to the generation of Pareto-optimal solutions via the optimization model. The application of path diagrams is demonstrated through a case study of allocating resources to a large-scale system of airports.

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Section: Related Literaturementioning

confidence: 99%

Section: Related Literaturementioning

confidence: 99%

Diagramming qualitative goals for multiobjective project selection in large‐scale systems

Martinez¹,

Joshi²,

Lambert³

2011

Systems Engineering

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“…A potential outcome of the proposed analysis is the prevention of accidents in rural road network. Therefore, risk analysis can be followed during a road network planning by considering spatial and thematic data [22].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Direct Sun-Light on Rural Road Network through Solar Radiation Analysis Using GIS

Chalkias¹,

Faka²,

Kalogeropoulos³

2013

OJAppS

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The movement of vehicles on the roads, during summer, can sometimes hide risks involved in direct sunlight. In places where the relief is complicated, road network usually consists of a road complexity. This complexity in conjunction with the motion of a vehicle on a road and the position of the sun at the same time may result in the loss of vision in some sections of the road. This paper describes a GIS-based methodology of the spatiotemporal analysis of this phenomenon. Thus, for a given study area, in this case of Milos Island, Greece, the geometry of the road network, the terrain morphology and the solar radiation (in specific time intervals during summer) have been analyzed. The result of this procedure is a map illustrating the sections of the road where direct sunlight includes a serious amount of risk for the drivers. Applying this methodology for long periods of time may lead to prevention policies adoption related to accidents of direct exposure to sunlight. Moreover, this methodology could be an additional module in car navigation systems.

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“…This knowledge can be achieved when researchers use qualitative methods jointly with quantitative studies to accumulate and interpret possibly useful information regarding injuries. Qualitative methodology has recently gained more attention by injury researchers 8–10. However, the knowledge in this field, especially the methodological aspects of it, is limited in the literature.…”

Section: Introductionmentioning

confidence: 99%

Application of Haddon’s matrix in qualitative research methodology: an experience in burns epidemiology

Deljavan¹,

Bazargani²,

Fouladi³

et al. 2012

IJGM

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BackgroundLittle has been done to investigate the application of injury specific qualitative research methods in the field of burn injuries. The aim of this study was to use an analytical tool (Haddon’s matrix) through qualitative research methods to better understand people’s perceptions about burn injuries.MethodsThis study applied Haddon’s matrix as a framework and an analytical tool for a qualitative research methodology in burn research. Both child and adult burn injury victims were enrolled into a qualitative study conducted using focus group discussion. Haddon’s matrix was used to develop an interview guide and also through the analysis phase.ResultsThe main analysis clusters were pre-event level/human (including risky behaviors, belief and cultural factors, and knowledge and education), pre-event level/object, pre-event phase/environment and event and post-event phase (including fire control, emergency scald and burn wound management, traditional remedies, medical consultation, and severity indicators). This research gave rise to results that are possibly useful both for future injury research and for designing burn injury prevention plans.ConclusionHaddon’s matrix is applicable in a qualitative research methodology both at data collection and data analysis phases. The study using Haddon’s matrix through a qualitative research methodology yielded substantially rich information regarding burn injuries that may possibly be useful for prevention or future quantitative research.

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Synthesis of quantitative and qualitative evidence for accident analysis in risk-based highway planning

Cited by 26 publications

References 19 publications

Diagramming qualitative goals for multiobjective project selection in large‐scale systems

Diagramming qualitative goals for multiobjective project selection in large‐scale systems

Assessment of the Direct Sun-Light on Rural Road Network through Solar Radiation Analysis Using GIS

Application of Haddon’s matrix in qualitative research methodology: an experience in burns epidemiology

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Synthesis of quantitative and qualitative evidence for accident analysis in risk-based highway planning

Cited by 26 publications

References 19 publications

Diagramming qualitative goals for multiobjective project selection in large‐scale systems

Diagramming qualitative goals for multiobjective project selection in large‐scale systems

Assessment of the Direct Sun-Light on Rural Road Network through Solar Radiation Analysis Using GIS

Application of Haddon&rsquo;s matrix in qualitative research methodology: an experience in burns epidemiology

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Product

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Application of Haddon’s matrix in qualitative research methodology: an experience in burns epidemiology