Road Traffic Congestion and Crash Severity: Econometric Analysis Using Ordered Response Models

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Crash Injury Severity Analysis Using Bayesian Ordered Probit Models

Understanding the underlying relationship between crash injury severity and factors such as driver’s characteristics, vehicle type, and roadway conditions is very important for improving traffic safety. Most previous studies on this topic used traditional statistical models such as ordered probit OP , multinomial logit, and nested logit models. This research introduces the Bayesian inference an...

متن کامل

Predicting Severity of Road Traffic Congestion Using Semantic Web Technologies

Predictive reasoning, or the problem of estimating future observations given some historical information, is an important inference task for obtaining insight on cities and supporting efficient urban planning. This paper, focusing on transportation, presents how severity of road traffic congestion can be predicted using semantic Web technologies. In particular we present a system which integrat...

متن کامل

Determinant of Road Traffic Crash Fatalities in Iran: A Longitudinal Econometric Analysis.

BACKGROUND Injuries and deaths from road traffic crashes are one of the main public health problems throughout the world. This study aimed to identify determinants of fatality traffic accident in Iran for the twenty-span year from 1991 to 2011. METHODS A time series analysis (1991-2011) was used to examine the effects of some of the key explanatory factors (GDP per capita, number of doctors p...

متن کامل

Analysis of large truck crash severity using heteroskedastic ordered probit models.

Long-combination vehicles (LCVs) have significant potential to increase economic productivity for shippers and carriers by decreasing the number of truck trips, thus reducing costs. However, size and weight regulations, triggered by safety concerns and, in some cases, infrastructure investment concerns, have prevented large-scale adoption of such vehicles. Information on actual crash performanc...

متن کامل

Investigating the Effects of Underreporting of Crash Data on Three Commonly Used Traffic Crash Severity Models: Multinomial Logit, Ordered Probit and Mixed Logit Models

Although a lot of work has been devoted to developing crash severity models to predict the probabilities of crashes for different severity levels, very few studies have considered the underreporting issue in the modeling process. Inferences about a population of interest will be biased if crash data are treated as a random sample coming from the population without considering the different unre...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Transportation Engineering

سال: 2010

ISSN: 0733-947X,1943-5436

DOI: 10.1061/(asce)te.1943-5436.0000044