Effect of the Built Environment on Motorized and Non-Motorized Trip Making: Substitutive, Complementary, or Synergistic?

At the time of publication J.Y. Guo was at the University of Wisconsin-Madison; and C.R. Bhat and R.B. Copperman were at the University of Texas at Austin.It has become well recognized that non-motorized transportation is beneficial to a community's health as well as its transportation system performance. In view of the limited public resources available for improving public health and/or transportation, the present study aims to (a) assess the expected impact of built environment improvements on the substitutive, complementary, or synergistic use of motorized and non-motorized modes; and (b) examine how the effects of built environment improvements differ for different population groups and for different travel purposes. The bivariate ordered probit models estimated in this study suggest that few built environment factors lead to the substitution of motorized mode use by non-motorized mode use. Rather, factors such as increased bikeway density and street network connectivity have the potential of promoting more non-motorized travel to supplement individuals' existing motorized trips. Meanwhile, the heterogeneity found in individuals' responsiveness to built environment factors indicates that built environment improvements need to be sensitive to the local residents' characteristics.Civil, Architectural, and Environmental Engineerin

Activity-based travel-demand analysis for metropolitan areas in Texas: CEMDAP models, framework, software architecture and application results

210 p.This report describes the modeling and software enhancements of the earlier version of CEMDAP (the activity-travel simulator that simulates the detailed activity-travel patterns of the population), and presents the application results for the Dallas-Fort Worth region

Population updating system structures and models embedded within the comprehensive econometric microsimulator for urban systems (CEMUS)

At the time of publication N. Eluru, A.R. Pinjari, I.N. Sener, R.B. Copperman and C.R. Bhat were at the University of Texas at Austin; J.Y. Guo was at the University of Wisconsin-Madison; and S. Srinivasan was at the University of Florida.This paper describes the development of a population update modeling system as part of the development of the Comprehensive Econometric Microsimulator for SocioEconomics, Land-use, and Transportation Systems (CEMSELTS). CEMSELTS itself is part of the Comprehensive Econometric Microsimulator for Urban Systems (CEMUS) under development at The University of Texas at Austin. The research in the paper recognizes that modeling the linkages among demographics, land use, and transportation is important for realistic travel demand forecasting. The population update modeling system focuses on the modeling of events and actions of individuals and households in the urban region. An analysis framework is proposed to predict the future-year population characteristics by modeling the changes to all relevant attributes of the households and individuals. The models identified in the analysis framework are estimated for the Dallas-Fort Worth region. The econometric structures used include deterministic models, rate-based probability models, binary logit models, multinomial logit models, and ordered response probit models. To verify the outputs from these models, the predicted results for the year 2000 are compared against observed 2000 Census data.Civil, Architectural, and Environmental Engineerin