Urban transportation systems and traffic management
A. Edrisi; N. Javanbakht; H. Ganjipour
Abstract
In this study, the manner of private taxis drivers has been investigated for choosing passenger and destination from a fixed point. Therefore, two models called Multinomial and Nested Logit Models have been utilized. The information gained by scrolling in 2016 is the input data, which are in the format ...
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In this study, the manner of private taxis drivers has been investigated for choosing passenger and destination from a fixed point. Therefore, two models called Multinomial and Nested Logit Models have been utilized. The information gained by scrolling in 2016 is the input data, which are in the format of revealed preference, acquired by the verbal interview in Vanak Square in Tehran (Iran). Based on data resulted by 120 questionnaires the selection modeling of passenger and destination was done. The results of the descriptive analysis show that 96.7% of respondents are men and only 3.3% are women. In addition, 15% of them are illiterate, 16.7% have under Diploma degree, 52.5% have Diploma degree and 15.8% have Bachelor degree or higher. On average, the verification was 44%, and the results achieved by this research show that the parameters consisting of searching time, the working time of drivers and the traveling time were the most important factors resulted from the calibration of the Logit models. Nested Logit model has a better performance compared with the Multinomial Logit model. The Nested Logit Model has ρ2=0.45 while this value is 0.35 for the Multinomial Logit Model. Finally, the suitable decision has been made in the various path based on gained results.
Urban health, safety and environment (HSE)
Z. Yaghoubpour; S. Givehchi; M.A. Tabrizi; F. Masoudi; L. Nourian
Abstract
This study focused on the public transport risk assessment in District one of Tehran through Fault Tree Analysis involving the three criteria of human, vehicle and road in Haddon matrix. In fact, it examined the factors contributing to the occurrence of road accidents at several urban black spots ...
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This study focused on the public transport risk assessment in District one of Tehran through Fault Tree Analysis involving the three criteria of human, vehicle and road in Haddon matrix. In fact, it examined the factors contributing to the occurrence of road accidents at several urban black spots within District 1. Relying on road safety checklists and survey of experts, this study made an effort to help urban managers to assess the risks in the public transport and prevent road accidents. Finally, the risk identification and assessment of public transport in District one yielded several results to answer the research questions. The hypotheses analysis suggested that safety issues involved in public transport are concerned by urban managers. The key reactive measures are investigation of accidents, identification of causes and correction of black spots. In addition to high costs, however, the reactive measures give rise to multiple operational problems such as traffic navigation and guaranteeing user safety in every operation. The case study highlighted the same fact. The macro-level management in the metropolis of Tehran is critical. The urban road casualties and losses can be curtailed by preventive measures such as continuous assessment of road safety.
