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Identify and Evaluate the Green Transport Important Parameters in National University of Malaysia (UKM) and Determine Alternative Modes

Received: 5 August 2016     Accepted: 19 August 2016     Published: 3 November 2016
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Abstract

Considering the sustained and pervasive popularity of the private vehicle not only in UKM but in most of Malaysian Universities, what makes people use or prefer the car more than public transport? What will facilitate the use of public transport? An understanding of the factors that affect mode choice is essential to the promotion of more sustainable behavior and the achievement of the state's transport targets. A sustainable transport system must provide mobility and accessibility to all urban residents in a safe and environment friendly mode of transport. The survey data collected were used to develop the models. The explanatory variables included in the models were demographic, socio-economic characteristics of individuals, trip characteristics, and mode attributes. A binary logic model was used to identify factors that are significant in determining the choice of transport and to predict the probability of a change in bus and train rider ship with respect to various travel times and cost. Attention will be paid to sensitive factors that will facilitate the use of public transportation system as a tool for addressing congestion and air pollution. Strategies employed includes, increasing parking cost for private cars, increasing the driving age, increasing the toll fees for private cars, restriction the use of private cars in some strategic places, increasing the road tax, speed-monitoring strategy for private cars, restriction the use of old cars in the cities and campuses, redirecting the private cars to a specific route especially in the cities and campuses and ensuring that safety standard are met.

Published in International Journal of Transportation Engineering and Technology (Volume 2, Issue 3)
DOI 10.11648/j.ijtet.20160203.11
Page(s) 22-28
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

UKM Transport Sector, Private Car, Public Transportation

References
[1] Greene DL, Wegener M. Sustainable transport. J Transp Geogr 1997; 5:177–190.
[2] Ong HC, Mahlia TMI, Masjuki HH. A review on energy pattern and policy for transportation sector in Malaysia. Renew Sustain Energy Rev 2012; 16:532–542.
[3] Qureshi IA, Lu H. Urban transport and sustainable transport strategies: a case study of Karachi, Pakistan. Tsinghua Sci Technol 2007; 12:309–317.
[4] Colvile RN, Hutchinson EJ, Mindell JS, Warren RF. The transport sector as a source of air pollution. Atmos Environ 2001; 35:1537–1565.
[5] Kargarfard M, Shariat A, Shaw BS, Shaw I, Lam ETC, Kheiri A, et al. Effects of Polluted Air on Cardiovascular and Hematological Parameters After Progressive Maximal Aerobic Exercise. Lung 2015; 193:275–281.
[6] Downs A. Still stuck in traffic: coping with peak-hour traffic congestion. Brookings Institution Press; 2005.
[7] Odero W, Garner P, Zwi A. Road traffic injuries in developing countries: a comprehensive review of epidemiological studies. Trop Med Int Heal. 1997; 2:445–460.
[8] Masuri MG, Isa KAM, Tahir MPM. Children, youth and road environment: road traffic accident. Procedia-Social Behav Sci 2012; 38:213–218.
[9] Johnson DS, Rogers JM, Tan L. A Century of Family Budgets in the United States, Monthly Labour Rev. 2001; 124:128.
Cite This Article
  • APA Style

    Hassan M. Abdelsalam, Muhammad Nazri Borhan, Riza Atiq O. K. Rahmat. (2016). Identify and Evaluate the Green Transport Important Parameters in National University of Malaysia (UKM) and Determine Alternative Modes. International Journal of Transportation Engineering and Technology, 2(3), 22-28. https://doi.org/10.11648/j.ijtet.20160203.11

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    ACS Style

    Hassan M. Abdelsalam; Muhammad Nazri Borhan; Riza Atiq O. K. Rahmat. Identify and Evaluate the Green Transport Important Parameters in National University of Malaysia (UKM) and Determine Alternative Modes. Int. J. Transp. Eng. Technol. 2016, 2(3), 22-28. doi: 10.11648/j.ijtet.20160203.11

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    AMA Style

    Hassan M. Abdelsalam, Muhammad Nazri Borhan, Riza Atiq O. K. Rahmat. Identify and Evaluate the Green Transport Important Parameters in National University of Malaysia (UKM) and Determine Alternative Modes. Int J Transp Eng Technol. 2016;2(3):22-28. doi: 10.11648/j.ijtet.20160203.11

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  • @article{10.11648/j.ijtet.20160203.11,
      author = {Hassan M. Abdelsalam and Muhammad Nazri Borhan and Riza Atiq O. K. Rahmat},
      title = {Identify and Evaluate the Green Transport Important Parameters in National University of Malaysia (UKM) and Determine Alternative Modes},
      journal = {International Journal of Transportation Engineering and Technology},
      volume = {2},
      number = {3},
      pages = {22-28},
      doi = {10.11648/j.ijtet.20160203.11},
      url = {https://doi.org/10.11648/j.ijtet.20160203.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtet.20160203.11},
      abstract = {Considering the sustained and pervasive popularity of the private vehicle not only in UKM but in most of Malaysian Universities, what makes people use or prefer the car more than public transport? What will facilitate the use of public transport? An understanding of the factors that affect mode choice is essential to the promotion of more sustainable behavior and the achievement of the state's transport targets. A sustainable transport system must provide mobility and accessibility to all urban residents in a safe and environment friendly mode of transport. The survey data collected were used to develop the models. The explanatory variables included in the models were demographic, socio-economic characteristics of individuals, trip characteristics, and mode attributes. A binary logic model was used to identify factors that are significant in determining the choice of transport and to predict the probability of a change in bus and train rider ship with respect to various travel times and cost. Attention will be paid to sensitive factors that will facilitate the use of public transportation system as a tool for addressing congestion and air pollution. Strategies employed includes, increasing parking cost for private cars, increasing the driving age, increasing the toll fees for private cars, restriction the use of private cars in some strategic places, increasing the road tax, speed-monitoring strategy for private cars, restriction the use of old cars in the cities and campuses, redirecting the private cars to a specific route especially in the cities and campuses and ensuring that safety standard are met.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Identify and Evaluate the Green Transport Important Parameters in National University of Malaysia (UKM) and Determine Alternative Modes
    AU  - Hassan M. Abdelsalam
    AU  - Muhammad Nazri Borhan
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    T2  - International Journal of Transportation Engineering and Technology
    JF  - International Journal of Transportation Engineering and Technology
    JO  - International Journal of Transportation Engineering and Technology
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    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.ijtet.20160203.11
    AB  - Considering the sustained and pervasive popularity of the private vehicle not only in UKM but in most of Malaysian Universities, what makes people use or prefer the car more than public transport? What will facilitate the use of public transport? An understanding of the factors that affect mode choice is essential to the promotion of more sustainable behavior and the achievement of the state's transport targets. A sustainable transport system must provide mobility and accessibility to all urban residents in a safe and environment friendly mode of transport. The survey data collected were used to develop the models. The explanatory variables included in the models were demographic, socio-economic characteristics of individuals, trip characteristics, and mode attributes. A binary logic model was used to identify factors that are significant in determining the choice of transport and to predict the probability of a change in bus and train rider ship with respect to various travel times and cost. Attention will be paid to sensitive factors that will facilitate the use of public transportation system as a tool for addressing congestion and air pollution. Strategies employed includes, increasing parking cost for private cars, increasing the driving age, increasing the toll fees for private cars, restriction the use of private cars in some strategic places, increasing the road tax, speed-monitoring strategy for private cars, restriction the use of old cars in the cities and campuses, redirecting the private cars to a specific route especially in the cities and campuses and ensuring that safety standard are met.
    VL  - 2
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Author Information
  • Sustainable Urban Transport Research Centre, Faculty of Engineering, Universiti Kebangsaan Malaysia, Bangi Selangor, Malaysia

  • Sustainable Urban Transport Research Centre, Faculty of Engineering, Universiti Kebangsaan Malaysia, Bangi Selangor, Malaysia

  • Department of Civil & Structural Engineering, Faculty of Engineering, Universiti Kebangsaan Malaysia, Bangi Selangor, Malaysia

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