National Transport Library Research Database

Utveckling av en modell för inköpsresor med förbättrad målpunktsbeskrivning (Development of a model for shopping trips using an enhanced description of shopping facilities)

  • Algers, Staffan
  • Kungliga tekniska högskolan, Universitet eller högskola, 202100-3054
Sponsors, duration, budget: Energimyndigheten, Trafikverket ; 2011-10-01 -- 2012-09-30 ; 602074 kronorRegistration number:
  • Energimyndigheten
  • Trafikverket 34050-1
Subject(s): Online resources: Abstract: Idag beskrivs inköpsresor och lokalisering av inköpsställen på ett relativt grovt sätt, och med data som inte är tillräckligt relevanta. Inköpsresorna i det nationella modellsystemet Sampers ingår i en större grupp service- och andra resor, och utbudet beskrivs främst av antal anställda i detaljhandel och förekomsten av stormarknader. Tillämpningar av Sampers i samband med lokalisering av nya stormarknader visar att mer nyanserade data behövs för att beskriva ett områdes attraktivitet. Projektets övergripande mål är att ta fram en mer specifik inköpsresemodell som kan ersätta nuvarande modell i Sampers så att olika åtgärders energi- och klimateffekter kan beräknas.Abstract: In order to plan for sustainability, there is a need for knowledge on how individuals choose to travel, and how producers choose to locate their activities. Current planning models describe shopping trips and the location of retail business in a rather crude way, based on data which do not characterize retail supply very well. In the national Swedish forecasting system Sampers, shopping trips is treated mixed with other trip purposes like service trips, and supply is mainly described as number of employees in the retail sector and the existence of supermarkets. Model application in context with location analysis of new shopping centers shows that more detailed descriptions of the attractiveness of a traffic model zone with respect to shopping activities is needed. This kind of data is available in registers managed by the retail sector (HUI). The result of this project will be a model for shopping trips which is based on more detailed information of shopping facilities, which can be implemented in the Sampers system. The model will describe shopping trips as a function of travel costs, travel times, variables describing the attractiveness of shopping facilities and socioeconomic variables. The model will allow forecasting of effects of measures related to travel times and travel cost by different modes as well as measures related to the location of shopping facilities. By doing this, the consequences for energy and climate can also be calculated.
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