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The demand for personal travel in developing countries (Inglês)

Due to a general lack of knowledge concerning personal and rural travel in poor countries which creates difficulties in assessing transport projects, this study attempts to dispel some of the ignorance surrounding this subject. The study attempts to answer questions about such travel including the major observable determinants of personal travel, the choice of transport mode, the impact of transport price and subsidy policy on the poor and determinants of transport ownership. The study bases its answers on household expenditure surveys from Hong Kong, Sri Lanka, Thailand, Tunisia and two Indian travel surveys. The study finds that the major factors in trip generation are: travel to work; sale from and purchases for production; and travel to the place of education. Modal choice appears to vary essentially with expenditure per head and trip purpose. The mediating variable, however, appears to be the demand for speed. A substantial proportion of the poorer groups spend nothing on transport. Travel subsidies are either unlikely to reach these groups, or, if large, are unlikely to raise their welfare significantly. Lastly, the study finds that after incomes have been controlled for, rural households are more likely to own vehicles for travel than urban households.

Detalhes

  • Autor

    Deaton, Angus, Thomas, Duncan, Neelin, Janet, Bhattacharya, Nikhilesh, INU

  • Data do documento

    1987/08/31

  • TIpo de documento

    Documento de trabalho departamental

  • No. do relatório

    INU1

  • Nº do volume

    1

  • Total Volume(s)

    1

  • Data de divulgação

    2002/03/30

  • Disclosure Status

    Disclosed

  • Nome do documento

    The demand for personal travel in developing countries

  • Palavras-chave

    vehicle ownership;travel survey;personal travel;travel expenditure;price change;budget share;rural travel;household expenditure;household characteristic;travel pattern;expenditure survey;choice of transport mode;consequences of price increases;market good;household expenditure survey;household income;household budget survey;types of trip;Public Transport;living standard;private transport;household survey;cost of living;expenditure on travel;infrastructure and services;travel to work;cost of travel;effect of price;modal split model;modal split analysis;urban travel behavior;trip generation;rural area;analysis of expenditure;consumer price index;amount of travel;number of workers;repair and maintenance;information on expenditures;means of transportation;share of income;household expenditure data;data on expenditures;household survey data;allocation of responsibility;impact of transport;effect on people;provision of infrastructure;town and country;household production function;mode of trip;mode of travel;rate of change;numbers of travellers;per capita expenditure;cost materials;elasticity of travel;household travel survey;mode of transport;household survey instrument;city transport system;pattern of expenditures;choice of mode;total travel;modal choice;expenditure elasticity;transport facility;empirical result;urban trip;travel data;trip characteristic;regression results;income class;urban household;survey design;demand analysis;expenditure pattern;welfare change;household composition;work trip;utility function;price vector;trip distance;motor car;individual household;transport service;price elasticity;cash outlays;mode choice;regression function;rural income;transit vehicle;equivalent variation;transport cost;endogenous variable;survey period;household welfare;poor household;bus trip;simple model;passenger survey;private vehicle;bus fare;price control;

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