Effects of Land Use Characteristics on Residence and Employment Location and Travel Behavior of Urban Adult Workers

Author:

Silva João de Abreu e1,Golob Thomas F.2,Goulias Konstadinos G.3

Affiliation:

1. Center of Urban and Regional Studies, IST, Technical University of Lisbon, Avenida Rovisco Pais, 1049-001 Lisbon, Portugal.

2. Institute of Transportation Studies, University of California, Irvine, 522 Social Science Tower, Irvine, CA 92697-3600.

3. Department of Geography, University of California at Santa Barbara, 3611 Ellison Hall, Santa Barbara, CA 93106.

Abstract

The relationships between socioeconomic and demographic characteristics, land use characteristics around the residence and work locations, and a variety of travel behavior indicators are examined by using a structural equations model. This simultaneous equations system allows one to model the effects of land use characteristics on travel behavior while controlling for self-selection bias: certain types of persons choose to live and work in areas that suit their lifestyles and resources. In the model, travel behavior choices are multidimensional; total time away from home, trips and trip distances by three types of modes, car ownership, and possession of a transit pass are included. Land use is captured in geographic information system–based measures of land use and transport supply variables centered on both home and work locations. These measures are reduced to eight land use factors. The analysis provides strong evidence in favor of using land use and urban form designs and planning both around residential neighborhoods and workplace areas. Results provide quantitative evidence of the extent to which workers living in denser, central, compact, and mixed zones make more intense use of transit and non-motorized modes and tend to have lower car ownership levels. Workers in areas well served by freeways tend to make more intense use of their cars, although this does not inhibit use of transit. The results show that land use measures differ in their ability to explain different travel demands even when controlling for socioeconomic and demographic effects.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

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