Tarrahan Parseh Transportation Research InstituteInternational Journal of Transportation Engineering2322-259X9220211001Role of built-environment, lifestyle, attitude and behavioral factors on mode choice-case of grocery shopping in Tehran53756012231110.22119/ijte.2021.171980.1460ENHamedOmraniResearcher, Tarrahan Parseh Transportation Research Institute, Tehran, Iran.Amir RezaMamdoohiTransportation Planning Dept., Civil &amp; Envi. Eng. Faculty, Tarbiat Modares University0000-0002-5339-9807MahdiehAllahviranloCivil Engineering,The City of College NewYorkJournal Article20190217Understanding the effective variables on mode choice of grocery shopping trips is very important, considering the high frequency of these trips. Although previous studies show that attitudes (personal preference) play an essential role in mode choice, few studies investigate the effect of heterogeneity of these factors in mode choice of grocery shopping. This research investigates the role of socioeconomic, built-environment, lifestyle, attitude, and behavioral variables on taste variation of individuals in mode choice of grocery shopping trips.<br /> 398 individuals are surveyed in chain grocery stores of Tehran in May 2016 and factor analysis is used to identify latent variable such as safety, pedestrian-oriented, mode flexibility. Furthermore, a mixed logit (MXL) model is employed to test heterogeneity among individuals. Results of MXL model show that several socioeconomic, mode attributes and attitude variables have significant effects on mode choice for grocery shopping activities. Besides, male variable in bus mode and travel time in walking mode is heterogeneous variables among parameters with random normal distribution coefficient for grocery shopping destinations. Moreover, the results of the random coefficient analysis show that the existence of a shopping center in the CBD without parking spaces for bus mode and household car ownership (two or more) for walking mode are the primary sources of heterogeneity of grocery shopping trips. Findings suggest that considering policies like parking management, especially in CBD and development of public transit stations, based consistent with the development of pedestrian facilities, increase the likelihood of using transit. Also, policies like optimal grocery shopping malls sitting in all areas of the city increase the likelihood of using walking mode.http://www.ijte.ir/article_122311_ed0ffe44fefcf1ae95176bd0c917d840.pdfTarrahan Parseh Transportation Research InstituteInternational Journal of Transportation Engineering2322-259X9220211001Study of the Relationship Between the Characteristics of Taxi Drivers and Driving Experience56157213826910.22119/ijte.2021.256999.1546ENAmirIzadiAssistant Professor, Civil - Road and Transportation, North University, Mazandaran, Amol, Iran0000-0002-1041-5707HamedAbgonAssistant Professor, Civil Engineering - Roads and Transportation, North University, Mazandaran, Amol, IranMohammadTagaviphD of Student, Civil Engineering - Roads and Transportation, North University, Mazandaran, Amol, Iran.Journal Article20201226Millions of people die in road accidents every year. This issue is more important for professional drivers as they are more likely to involve in a car accident due to the longer driving hours. The purpose of this study was to identify the most important manner or factors affecting traffic accidents as well as the taxi driver’s characters based on the Drivers' Behavior Questionnaire (DBQ) and Emotionality Activity Sociability (EAS) temperament survey, a total number of 420 taxi drivers in Tehran province were asked to participate in this study and the results indicated that there is a remarkable relationship between driving history and anger management. The results also shows that the more driving experience the drivers have, the better they can manage their anger along with long-term plans and psychological classes. Finally, the correlation between the main variables of the research were measured and the findings revealed that the highest correlation pertains to that between temperament (anger, activity, helplessness, anxiety, sociability) and errors (0.995), and temperament driving offences of taxi drivers (0.474).http://www.ijte.ir/article_138269_c18ea4a4ca65b6dfd4054761b3152c38.pdfTarrahan Parseh Transportation Research InstituteInternational Journal of Transportation Engineering2322-259X9220211001Developing a Model for the Risk of the Rail Vehicles Collision Using Bayesian Network57358213826810.22119/ijte.2021.248200.1534ENShahinShabaniDepartment of Civil Engineering, Payam e Noor University(PNU), P.O.BOX 19395-4697. Tehran, IranJabbar AliZakeriIran university of science and TechnologyVahidRezaei TabarDepartment of Statistics, Faculty of Mathematical Sciences and Computer, Allameh Tabataba'i University, Tehran, Iran.AzadehGhanbarpourPhD candidate for Highway and Transportation Engineering, Department of Civil Engineering, Payame Noor University, Tehran, Iran.0000-0002-1826-2661Journal Article20210126Risk analysis of the rail vehicles collision as one of the most important accidents with the rate of nearly 4 percent of the total accidents has always been of great interest especially for the railway safety decision makers. The reason might be revealed while considering the chain of causes and the scenarios of consequences. The superiority of modeling by Bayesian networks method for analyzing the risk of such accidents is that not only the conditional probability of each cause (hazard) as a variable is assessed but also with having any new evidence, the model can be updated subsequently and the consequences can be monitored. The methodology consists of two major categories of qualitative and quantitative parts while the concluded model is a mixture of the two methods. Main causes of a collision are grouped as environmental, signaling and human factors. Resulted model gives the highest probability to the shunting limit signal as a subdivision of the human errors. Evaluating the consequences resulted in the severity of “second degree” based on the Iranian railway accidents severity categorization guideline.http://www.ijte.ir/article_138268_270598c0bff7e95379d097b1b2bd8a4c.pdfTarrahan Parseh Transportation Research InstituteInternational Journal of Transportation Engineering2322-259X9220211001The Service Quality of Intra-city Transportation an Online Taxi Company Based in the 22 Districts of Tehran58359613827110.22119/ijte.2021.261060.1549ENYounosVakil AlroaiaEntrepreneurship and Commercialization Research Center, Department of Management, Semnan Branch, Islamic Azad University, Semnan, Iran0000-0003-3249-6509SamiraNazari GhazviniPhD student in Business Management, Entrepreneurship and Commercialization Research Center, Semnan Branch, Islamic Azad University, Semnan, Iran ,HossinRahimi JafariPhD student in Business Management, Entrepreneurship and Commercialization Research Center, Semnan Branch, Islamic Azad University, Semnan, Iran ,Journal Article20201223Organizations that provide intercity online taxi services are interested in clustering the community based on the car request rate to increase their service quality and examine all factors affecting this quality. Managers of online taxi systems are concerned about intercity service quality. Hence, they permanently update their knowledge of online taxi requests and their service quality. Managers became aware of service quality rates in different city districts based on their experiences, especially in Tehran, so that they decided to examine this issue. Accordingly, the purpose of this study is to examine the intercity transportation service quality of an online taxi company in 22 districts of Tehran, Iran. Using semi-structured and unstructured interviews with senior managers, the main variables were identified. The community clustering was also done using the K-means method and IBM[1] Software. Results showed that the classification of senior managers of this company regarding their service qualities, as well as the experiences and platforms of similar foreign companies, could not be used as an appropriate reference to examine intercity service quality in different districts. Therefore, driver rating, driver performance, and accepted request volume were the most important issues in district clustering followed by passenger rating. However, the variables mentioned were previously ignored.http://www.ijte.ir/article_138271_5645e4287ebe63adb4f1bfbf44793d47.pdfTarrahan Parseh Transportation Research InstituteInternational Journal of Transportation Engineering2322-259X9220211001Application of a Hill-Climbing Algorithm to Public Transportation Routes Design in Grid Networks59761213977310.22119/ijte.2021.285454.1569ENAmiraliZarrinmehrAssistant Professor of Transportation Planning at University of MazandaranHanieMoloukzadeUniversity of mazandaranJournal Article20210509Transit Routes Design (TRD) problem deals with optimizing the configuration of transit routes to satisfy a given objective, such as maximizing network coverage, while holding the budget constraint. In its discrete form, TRD is recognized as a computationally interactive problem. A review of the literature reveals that, despite extensive research on this problem, the number of studies on specific urban network configurations has remained limited. Among these studies, many have applied simplifying assumptions such as continuous design variables which may not be applicable to real-world settings. The present study focuses on a discrete version of the TRD problem for an urban “grid” network and aims to maximize the service coverage through the network. To this end, a local search Hill-Climbing (HC) heuristic algorithm is proposed and evaluated. The proposed HC algorithm performs several replications in which it starts with a combination of randomly selected routes and iteratively improves them by moving to the “best neighbour” until it reaches a local optimum solution. Our results for a 6×10 grid network for three budget levels (i.e. low, medium, and high budget levels) indicate that, in much shorter run-times than the exact algorithm, the proposed HC algorithm can produce high-quality solutions with 0.12%, 4.16%, and 2.22% difference from global optimums.http://www.ijte.ir/article_139773_1986a62503dd12e812e46a21ea4d9c56.pdfTarrahan Parseh Transportation Research InstituteInternational Journal of Transportation Engineering2322-259X9220211001Simulation of Route Direction Reconfiguration for Traffic Management in Medium-Sized Cities (Case Study: Central District of Yazd)61363313827310.22119/ijte.2021.285218.1568ENHamidDehghan BanadakiPh.D. candidate, Department of Civil Engineering, faculty of civil and earth resources engineering, Centeral Tehran Branch, Islamic Azad University, Tehran, Iran.0000-0003-3652-8272MahmoudSaffarzadehProfessor, Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran0000-0002-9713-2776HassanZoghiAssociate Professor, Dept. of Technical and Engineering, Karaj Branch, Islamic Azad University, Alborz, Iran.0000-0003-2055-3748MasoudShahsavariPh.D. candidate, School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran.0000-0001-7977-3193Journal Article20210508One way to change the allocation of road resources to traffic demand is to convert two-way roads into one-way streets. This conversion can be done for a variety of reasons such as insufficient street width for two-way traffic, reducing delay at intersections, increasing safety and reducing congestion. In the city of Yazd, the urban road network has very few one-way thoroughfares and its traffic flow directions have not been optimally configured to solve the traffic problems of this city. Converting two-way streets into one-way routes may therefore serve as a means of better traffic management in the central district of this city. In this research, after a review of the literature, the physical and traffic characteristics of main roads in the central district of Yazd were investigated through a field study in order to identify the two-way roads that are technically and practically eligible for conversion into one-way. The results of the field study, which were obtained from 78 data collection stations, were then used to build a simulation model in the Aimsun software. The network was then calibrated and prepared for the execution of the scenarios. The results indicated that as long as the number of trips ending in or passing through the area remains the same, these streets cannot be made one-way and All scenarios have worse results than the current situation.<br />Finally, the proposed scenarios were re-simulated with the assumption of a 30% decrease in travel demand in the area.<br />It was found that scenario 6 offers better outcomes than other options and it is practically impossible to make the streets one-way without reducing the demand for private transport.http://www.ijte.ir/article_138273_b081bf96d11a4887c6f334a14c3d9afb.pdf