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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Abbasi, M., Mamdoohi, A. R., Ciari, F., & Sierpiński, G. (2024). An investigation of perceived risk dimensions in acceptability of shared autonomous vehicles, a mediation-moderation analysis. Scientific Reports, 14, 23276 (16 pages). Available
Abbasi, M., Mamdoohi, A. R., Sierpiński, G., & Ciari, F. (2023). Usage Intention of Shared Autonomous Vehicles with Dynamic Ride Sharing on Long-Distance Trips. Sustainability, 15(2), 17 pages. External link
Abbasi, M., Farzin, I., & Mamdoohi, A. R. (2021). Influential Factors on Walking Choice in Discretionary Trips, Case of Heterogeneity in Travel Distance. Journal of Transportation Research, 18(4), 71-84. External link
Baghestani, A., Abbasi, M., Rastegar, S., Mamdoohi, A. R., Afaghpoor, A., & Saffarzadeh, M. (2023). Logistics Village Location with Capacity Planning Problem, an MILP Model Approach. Sustainability, 15(5), 4633 (14 pages). External link
Farzin, I., Abbasi, M., Macioszek, E., Mamdoohi, A. R., & Ciari, F. (2023). Moving toward a More Sustainable Autonomous Mobility, Case of Heterogeneity in Preferences. Sustainability, 15(1), 16 pages. External link
Farzin, I., Abbasi, M., & Mamdoohi, A. R. (2020). Socio-demographic factors impact on willingness to buy & use autonomous vehicles in Tehran. Traffic Management Studies, 55, 61-90. Unavailable
Kashani, M. A., Abbasi, M., Mamdoohi, A. R., & Sierpinski, G. (2023). The Role of Attitude, Travel-Related, and Socioeconomic Characteristics in Modal Shift to Shared Autonomous Vehicles with Ride Sharing. World Electric Vehicle Journal, 14(1), 23 (19 pages). Available
Mamdoohi, A. R., Khavari, F., & Abbasi, M. (2023). Comparative study and identification of effective factors in interurban mandatory trip generation. Journal of Transportation Research, 20(2), 115-128. External link
Mamdoohi, A. R., Shariati, M., Nazemi, M., & Abbasi, M. (2022). Dynamic Modeling of Management Policies for Emergency Evacuation. Journal of Transportation Research, 19(71), 135-148. Unavailable
Macioszek, E., Karami, A., Farzin, I., Abbasi, M., Mamdoohi, A. R., & Piccioni, C. (2022). The Effect of Distance Intervals on Walking Likelihood in Different Trip Purposes. Sustainability, 14(6), 3406 (17 pages). Available
Mamdoohi, A. R., Rezaei, H., Irannezhad, E., Saffarzadeh, A., & Abbasi, M. (2022). Hour and Period Based Congestion Pricing, Case of Tehran Mode Choice. Quarterly Journal of Transportation Engineering, 14(1), 2233-2247. External link
Mamdoohi, A. R., Nasiri, S., & Abbasi, M. (2022). Time of Day Model, a Different Approach to Identify Effective Factors in Mode Choice, Evidence from Mashhad. Amirkabir Journal of Civil Engineering, 53(11), 4599-4612. External link
