Discussion Thread: State Farm: Dangerous Intersections

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Discussion Thread: State Farm:
Dangerous Intersections
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Due Nov 17, 2022

50 points

49 Replies, 15 Unread

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Discussion Topic: Discussion Thread: State
Farm: Dangerous IntersectionsDiscussion
Thread: State Farm: Dangerous
Intersections
From the State Farm: Dangerous Intersections case, answer the following
questions:
1. Identify the various constructs and concepts involved in the study.
2. What hypothesis might drive the research of one of the cities on the
top 10 dangerous intersection list?
3. Evaluate the methodology for State Farm’s research.
4. If you were State Farm, how would you address the concerns of
transportation engineers?
5. If you were State Farm, would you use traffic volume counts as part
of the 2003 study? What concerns, other than those expressed by
Nepomuceno, do you have?
Discussion: State Farm: Dangerous Intersections Resources

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Leal Makaroff

Dec 1, 2022 11:59pmLast reply Dec 1, 2022 11:59pm

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Reply from Leal Makaroff




State Farm “Dangerous Intersections” Case-Study Response


Léal Makaroff
School of Business, Liberty University

,Author Note
Léal Makaroff
I have no known conflict of interest to disclose.
Correspondence concerning this article should be addressed to Léal
Makaroff.
Email:




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LW

Lance Wallace

Nov 19, 2022 11:43amLast reply Dec 13, 2022 9:43am

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Reply from Lance Wallace
Case study. State farm intersection
busi 600 business research methods
Liberty university
Lance wallace


A construct is a philisophical concept called or constructed to depict a.
Circumstance Based on the case study, the construct includes dangerous
intersection.In this case, State Farm relies on durables

, causing the mishaps to depict the constructs,including dangerous
intersection, accident hardness, transit count, transit
c pattern, and volume. Onthe other hand, concepts are philsophical images
used to sumup similar observations (Akbulut &Kesdi, 2017). From the case
study, concepts include intertwined roads that could result in fewer. Mishaps
while minimizing the number of cases being filed. Other concepts include
mishap reports, intertwined, accident fault, police report, roadway access, or
exit ramp.The hypothesis might drive the analysis of one of the cities on the
dangeroincludeiinterrsecton?Hypothesis testing is used to measure an
assumption about the population from theory(Scheel et al., 2020).
Nonetheless, the method used to define a hypothesis. Bank on data. Inmost
c
instances, ranalyzerss use random community specimens to test null and
substitute hypotheses.From the case study, the hypothesis that might drive
metropolises to the top ten dangerous intertwined sections will be to reduce
the number of crashes at a specific intertwined and how to reduce such
crashes.For example, the null hypothesis would be to determine whether
lessinging approach speed will minimize the perilous intertwined's mishap
rate. Using the explanatory hypothesis, State Farms
abolished intertrwineds to receive grants and reduce the incidence of mishap
on dangerous. intertwined. Therefore, analyzers can asses the issue and
implement breadth to addressthe issue by analyzing


Look


the number of crashes in a specific intertwi ne. Similarly, Proverbs: 19:
2highlights that disregard and haste ca hurt accomplishments. In other
words not paying attention to detail can cause problems
The methodology for State Farm’s research
Methodology convuluted deep assembledge of data from police report,
engineer’s geometric review, space figures of intersections transport study,
and benefit pricet analysis. Choice of instance and ranking the ten dangerous
intersection listen adds highly to realistic findings. This enabled the
intersection program to release grants according to the accident rate and
transport conflicts. Sorting and categorization according to accident rates
and transport volume proved beneficial in implementing short-term or long-
term improvements (Crundwell 200
The methodology was significant in drawing patterns of problems leading to
intersection features. As such, improving the ability to efficiently undertake
loss prevention programs in the roads sector. However, the danger codes
were narrowed down to No/with personal injury. This focused on property
damages. If the methodology had included a regression analysis on property