TY  - SER
AU  - Sharma,Bibhuti
AU  - Thirayoot Limanond, 
AU  - Kunnawee Kanitpong, 
AU  - Nakatsuji,Takashi
ED  - Thailand (HM King), 
TI  - Analysis and projection of household private vehicle ownership in Kathmandu Valley
T2  - Thesis
PY  - 2012///
CY  - Pathum Thani, Thailand
PB  - Asian Institute of Technology
KW  - Automobile ownership
KW  - Nepal
KW  - Kathmandu Valley
KW  - Transportation
KW  - Energy consumption
N1  - A thesis submitted in partial fulfillment of the requirements for the  degree of Master of Engineering in Transportation Engineering, School of Engineering and Technology; Thesis (M. Eng.) - Asian Institute of Technology, 2011
N2  - The  study  aims  to  analyze  the  private  vehicle  ownership  pattern  in  the  Kathmandu  valley.  A questionnaire  survey  is  done  to  understand  the  household  vehicle  ownership  trend  and  it  is analyzed using MNL model.  The  results  revealed  that  motorcycle  dominates  over  private  cars  in  the  valley.  The  total vehicle  ownership  is  dependent  on  income,  number  of  licensed  drivers  and  road  density. According  to  the  study,  there  is  a  decrease  in  the no  vehicle  group  as  income  increases. Motorcycle  ownership  is  highly  influenced  by  the  number  of  licensed  drivers.  Also,  road density  variable  is  seen  to  affect  the  motorcycle  ownership  negatively.  Household  with  low road density are likely to own motorcycle. A projection of household vehicle ownership for the whole valley is also done. It is observed that  the  total  household  with  no  vehicle  is  43.2%, household  with  motorcycle  ownership  is 50% and household with both car and motorcycle (or car alone) are 6.8%.Also, a prediction is done for 2022  and it is observed that household  with no vehicle are likely  to be 32.1%, with motorcycle  are  likely  to  be  55.8%  and  with  both  car  and  motorcycle  are  likely  to  be  12.1%. Similarly,  for  2032  household  with  no  vehicle  are  likely  to  be  24.4%,  with  motorcycle  are likely to be 54.9% and with both car and motorcycle are likely to be 20.7%
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B04115 
ER  -