مشروع البحث: CRASH SEVERITY ASSESSMENT USING BINARY LOGIT MODEL WITH DIFFERENT DATA AGGREGATION METHODS
تحميل...
المساهمين
الممولين
رقم التعريف
129
الباحث
عمر محمد ابوسيف
الوصف
ABSTRACT
Road traffic crashes (RTCs) have long been a substantial health problem for the public
and government agencies. Identifying factors influencing road traffic injury severity is
essential to saving human lives, especially in nations with high road traffic mortality
rates, such as Libya. Unfortunately, RTCs data is lacking in Libya, which imposes
restrictions on data analysis. The present study aims to fill the gap by conducting an
injury severity analysis employing reliable and detailed RTCs data. RTCs data for a
decade (2001–2010) was extracted directly from hard copy investigation reports stored
in Ajdabiya Traffic Police Department archive. More than 2,300 investigation reports
(urban and rural areas) were reviewed and converted into an electronic format to build
the RTCs database. Binary Logit Model (BLM) was applied to assess the severity of
crash injuries on the freeway in Ajdabiya