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1995•Transportation Research Record Journal of the Transportation Research BoardRequires access

TRIP GENERATION FOR SHOPPING TRAVEL

Kwaku Agyemang-Duah, William Anderson, Fred L. Hall

Open publisher page 29 citations

Abstract

The effect of the geographic location of households on weekday, home-based shopping trips in the greater Toronto area (GTA) is reported. Five zones within the GTA were chosen to reflect different types of location and accessibility. An ordered response model, which maintains the ordinal nature in trip-making decisions, was used in the analysis. The statistical results show that, after controlling for a household's sociodemographic characteristics, a household's location within the metropolitan area has some effect on its weekday, home-based shopping trip generation. In particular, households located in the older urban area are likely to make fewer trips than those living in the suburbs.

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What this paper is about

The effect of the geographic location of households on weekday, home-based shopping trips in the greater Toronto area (GTA) is reported. Five zones within the GTA were chosen to reflect different types of location and accessibility. An ordered response model, which maintains the ordinal nature in trip-making decisions, was used in the analysis. The statistical results show that, after controlling for a household's sociodemographic characteristics, a household's location within the metropolitan area has some effect on its weekday, home-based shopping trip generation. In particular, households located in the older urban area are likely to make fewer trips than those living in the suburbs.

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OpenAlex reports 29 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The effect of the geographic location of households on weekday, home-based shopping trips in the greater Toronto area (GTA) is reported. Five zones within the GTA were chosen to reflect different types of location and accessibility. An ordered response model, which maintains the ordinal nature in trip-making decisions, was used in the analysis. The statistical results show that, after controlling for a household's sociodemographic characteristics, a household's location within the metropolitan area has some effect on its weekday, home-based shopping trip generation. In particular, households located in the older urban area are likely to make fewer trips than those living in the suburbs.

Key concepts: TRIPS architecture, Metropolitan area, Trip generation, Geography, Transport engineering, Travel behavior, Statistical analysis, Location

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