Filters

1982 - 198912000 - 20092
Reset filters

Settings

Subject: Transport industry ×

Search Results

Now showing 1 - 3 of 3
  • ItemRestricted
    The double decker bus in the transport industry
    (1982-03-19) Salonga, Maribel A.; Valencia, E. M.
  • ItemRestricted
    The impact of transport system on income: an economic-geographic approach
    (2009-10) Agustin, Miriam B.; Gutierrez, Terrylou M.; Arcenas, Agustin L.
    Due to the increasing public transportation facilities in our country, interests in studying the interrelations of these road networks to growth and development potential, and economic activities have become extensive for the past years. This paper reviews and discusses the impact of municipal/city distance from nearest NLEX exit point on municipal/city income, and uses instrumental variables to establish causality. The review includes approaches based on the transport system interface and one of the common geography theories. The fields of Economics and Geography are employed to view the over-all impact of road networks and municipality structure on income. In the Philippines, one of its outstanding road transport systems is the North Luzon Expressway (NLEX). The economic model derives the criticality of the proximity of the NLEX to any municipality/city using concepts from welfare economics and geography. To derive approximate insights into assessing critical components, a model based on economic geography is developed. This model describes the effect of distance on spatial interactions, considering the importance of transport system. The authors conclude that proximity to a transport system is significantly related to locality income.
  • ItemRestricted
    Spending for vehicle congestion in Metro Manila
    (2009-10) Estopin, Danica Loy; Umlas, Anna Jennifer L.; Solon, Orville
    Vehicular congestion is a serious problem faced by urban cities because it increases transportation expenditures. In this study, we try to estimate the vehicular congestion cost per household in the National Capital Region (NCR). The Family Income and Expenditure Survey (FIBS) in 2003 is used. However, the FIBS does not have a direct measure of vehicular congestion. As an alternative we use NCR relative to other regions as a proxy variable for congestion. Because the sample contains households with zero private transportation expenditures, the Heckman Selection model is used to regress the household private transportation expenditure with respect to its socio- demographic characteristics. The vehicular congestion cost is computed by getting the partial derivative with respect to NCR. The results show that congestion costs are highest among postgraduates.