Statistical analysis and accident prediction models leading to pedestrian injuries and deaths on rural roads in Iran

N Kamboozia, M Ameri… - International journal of …, 2020 - Taylor & Francis
The purpose of this study was to develop models to predict the severity of pedestrian
accidents on rural roads of Guilan, Iran. Therefore, the probability of occurrence of any type …

Application of Artificial Neural Network Approaches for Predicting Accident Severity on Rural Roads (Case Study: Tehran‐Qom and Tehran‐Saveh Rural Roads)

M Habibzadeh, M Ameri… - Mathematical …, 2022 - Wiley Online Library
Traffic accidents occur due to a combination of factors that lead to casualties and injuries. By
identifying the most effective factors, it is possible for safety authorities to provide appropriate …

Forecasting urban travel demand with geo-AI: a combination of GIS and machine learning techniques utilizing uber data in New York City

S Haery, A Mahpour, A Vafaeinejad - Environmental Earth Sciences, 2024 - Springer
Presently, online ride-hailing firms and municipal transportation systems substantially
influence urban traffic management. Considering the increasing use of these services, it is …

The lasting legacy of COVID-19 on individual shopping decisions: tracing the evolution of online shopping habits and its stability

A Mahpour, A Baghestani… - … Planning and Technology, 2024 - Taylor & Francis
Societies are witnessing a significant increase in online shopping frequency, which has
become a viable alternative to in-store shopping, a common aspect of people's daily trips …

Providing an appropriate prediction model for traffic accidents: A case study on accidents in Golestan, Mazandaran, Guilan, and Ardebil provinces

MR Omidi, M Jafari Eskandari, S Raissi… - فصلنامه سلامت در حوادث …, 2019‎ - hdq.uswr.ac.ir
Background: Road traffic accidents in Iran are a critical issue that hinders economic
development and one of the main threats to the health and safety of people in the …

[PDF][PDF] Use of econometric techniques to estimate the traumatic trend of road accidents

H Asgari, MR Omidi, N Omidi - Journal of safety promotion and …, 2019 - journals.sbmu.ac.ir
Abstract Background and Objectives: Road traffic accidents in Iran are a very important issue
that limits economic development and is one of the main threats to the health and safety of …

[PDF][PDF] Research Article Application of Artificial Neural Network Approaches for Predicting Accident Severity on Rural Roads (Case Study: Tehran-Qom and Tehran …

M Habibzadeh, M Ameri, SMS Haghighi, H Ziari - 2022 - academia.edu
Traffic accidents occur due to a combination of factors that lead to casualties and injuries. By
identifying the most effective factors, it is possible for safety authorities to provide appropriate …

Providing a Model for Port-Hinterland Fright Mode Choice (Case Study: Imam Khomeini Port)

A Mahpour, A Jashnian - Road, 2024 - road.bhrc.ac.ir
The design of the transportation network connecting land and sea and the identification of
effective factors in this relationship is an important factor in improving the performance of the …

Providing a Model for Port-Hinterland Fright Mode Choice (Case Study: Imam Khomeini Port)

A Mahpour, A Jashnian - Road, 2024 - road.bhrc.ac.ir
The design of the transportation network connecting land and sea and the identification of
effective factors in this relationship is an important factor in improving the performance of the …

استفاده از تکنيک‌هاي اقتصادسنجي جهت تخمين روند مصدومان تصادفات جاده‌اي

حشمت اله عسگری, محمدرضا امیدی, نبی امیدی - ارتقای ایمنی و پیشگیری از …‎ - journals.sbmu.ac.ir
سابقه و هدف: حوادث ترافيکي جاده‌اي در ايران، مسئله بسيار مهمي است که توسعه اقتصادي را محدود و
از عوامل اصلي تهديد سلامت و امنيت افراد جامعه مي‌باشد. آمارهاي ارائه‌شده نشان مي‌دهد که پس از …