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SENSITIVITY OF TRANSPORT MODE CHOICE IN ALEXANDRIA, EGYPT

Published In: 9TH INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL AND MECHANICAL ENGINEERING
Author(s): AHMED MAHMOUD DARWISH AHMED ETTISH , ALY HASSAN , MOUNIR MAHMOUD MOGHAZZY ABDEL-AAL

Abstract: Transport mode choice in Alexandria has radically changed during the last decades, since many trips were shifted from public transport to private transport and informal public transport. This research aims at analyzing the sensitivity of transport mode choice in Alexandria under different transport policies and assess the impact on modal shift to public transport. For that aim, a Multinomial Logit Model for Alexandria has been developed, calibrated using Biogeme Software. Having validated the calibrated model, the behavior of modal split under different policies is analyzed. The proposed transport policies includes improving public transport attributes and/or increasing trip cost for other transport modes. The analyses results reveal that improving current public transport trip time and trip cost have moderate and minor effect on modal shift to public transport share respectively. Improving public transport utility constant has a significant effect, which can be achieved by introducing

  • Publication Date: 08-Dec-2019
  • DOI: 10.15224/978-1-63248-182-5-15
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SYSTEM DESIGN OF MULTI LINGUAL MOBILE RAPID SENTENCE READING

Published In: 9TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND INFORMATION TECHNOLOGY
Author(s): TOSHIYUKI MAEDA

Abstract: This paper presents a system design of multi-lingual enhanced Rapid Serial Visual Presentation (RSVP) system MulLinR, which supports languages written continuously (non-spaced) and spelled with nonalphabetic characters. Our prototype accepts Chinese and Japanese for the time being. We express the system design of our prototype. One of the features of the system is that it is fully written in JavaScript, and so it is a standalone application without a network connection. For the separation of words, we introduce TinySegmenter which use feature quantity of characters and their combinations as N-gram, character kinds such as Kanji, Kana, etc. We discuss the experiment with a variety of presentation time intervals depending on the word length.

  • Publication Date: 08-Dec-2019
  • DOI: 10.15224/978-1-63248-181-8-01
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