Firms are key drivers of urban growth along with households, yet data on businesses and commercial vehicle movements can be difficult to obtain. An understanding of firm behavior over time is critical in anticipating urban futures and addressing transportation, land use, and other concerns. Firm birth and death, migration, and location choice are defining events in a firm's life cycle, and a study of firm evolution requires estimating and applying models for each. Such an exercise is hindered primarily by a lack of quality microdata for businesses. A basic framework is proposed for modeling firm demographics by using a micro-simulation approach. Year 2005 employment point data for the Austin, Texas, region and 7 years of aggregate data from the Statistics of U.S. Businesses have been used to simulate firm entry, exit, and evolution over time and space. A Markov process is used to anticipate firm growth and contraction, along with logit and Poisson models for firm location choice. Austin's commercial vehicle survey data are used to estimate commercial trip generation and distribution models, and applications of these are tied to forecasts of firm counts by location over time. Simulation results for both low- and high-growth scenarios suggest an increasing movement of firms toward central zones.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Tracking Size, Location, and Interactions of Businesses


    Subtitle :

    Microsimulation of Firm Behavior in Austin, Texas


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2008-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Transportation Needs, Location Choice, and Perceived Accessibility for Businesses

    Kawamura, Kazuya | Transportation Research Record | 2004



    Storage location tracking method and storage location tracking system

    ZHANG LIYANG / SONG JIANMING / WANG XI | European Patent Office | 2021

    Free access

    Vehicle location tracking

    GILBERT-EYRES MATTHEW E / PATENAUDE RUSSELL A / HOSEY ERIC T | European Patent Office | 2019

    Free access