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1986•Transportation Research Record Journal of the Transportation Research BoardRequires access

A DYNAMIC MODEL OF URBAN RETAIL LOCATION AND SHOPPING TRAVEL

Norbert Oppenheim

Open publisher page 1 citations

Abstract

The evolution of the distribution of urban retail locations and the resultant shopping travel over time is simulated. The dynamic model developed incorporates a standard gravity formulation for interzonal travel demand with a linear programming formulation for the determination of the incremental zonal retail spaces that maximize net aggregate profits from retail sales. From one time period to the next link travel costs are updated as a function of the current flow, and zonal retail space development costs are updated as a function of the level of sales performance of the zone. The results of the simulations are in some cases counterintuitive, and illustrate the varied impacts urban development and transportation policies have on the spatial patterns of shopping activity and travel. Further possible extensions of the model, as well as practical applications, are discussed in conclusion.

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What this paper is about

The evolution of the distribution of urban retail locations and the resultant shopping travel over time is simulated. The dynamic model developed incorporates a standard gravity formulation for interzonal travel demand with a linear programming formulation for the determination of the incremental zonal retail spaces that maximize net aggregate profits from retail sales. From one time period to the next link travel costs are updated as a function of the current flow, and zonal retail space development costs are updated as a function of the level of sales performance of the zone. The results of the simulations are in some cases counterintuitive, and illustrate the varied impacts urban development and transportation policies have on the spatial patterns of shopping activity and travel. Further possible extensions of the model, as well as practical applications, are discussed in conclusion.

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Available abstract

The evolution of the distribution of urban retail locations and the resultant shopping travel over time is simulated. The dynamic model developed incorporates a standard gravity formulation for interzonal travel demand with a linear programming formulation for the determination of the incremental zonal retail spaces that maximize net aggregate profits from retail sales. From one time period to the next link travel costs are updated as a function of the current flow, and zonal retail space development costs are updated as a function of the level of sales performance of the zone. The results of the simulations are in some cases counterintuitive, and illustrate the varied impacts urban development and transportation policies have on the spatial patterns of shopping activity and travel. Further possible extensions of the model, as well as practical applications, are discussed in conclusion.

Key concepts: Counterintuitive, Function (biology), Aggregate (composite), Travel time, Transport engineering, Computer science, Space (punctuation), Operations research

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