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sampled population can be obtained. The insights provided can be extremely useful in assessing the extent to which positive and negative impacts of a proposed project would be experienced disproportionately by low-income and minority populations. RESOURCES 1) Carlstein, T. (Editor). 1978. Timing, Space and Spacing Time Volume 2: Human Activity and Time Geography. London: Edward Arnold. Of particular interest are Chapter One, "Human Time Allocation in the City" by F. Stuart Chapin, and Chapter Four, "Rhythms of Urban Activity" by Mary Shapcott and Phillip Steadman. Chapin uses a conditional response model of human behavior, noting the relationship between the necessity of activities and how they are prioritized in terms of choice and timing. Shapcott and Steadman discuss the interconnectivity, coordination, and routine of daily activity patterns. 2) Census 1990 and Census 2000 TIGER files for use in GIS-based analysis are available free for download at http://www.esri.com/data/download/census2000_tigerline/index.html. These files include useful demographic information for some census reporting units. 3) Census 2000 Summary File 1 and Summary File 3 data sets are available from the census bureau at http://www2.census.gov/census_2000/datasets/Summary_File_1/ and http://www2.census.gov/census_2000/datasets/Summary_File_3/. These files can be downloaded and used with spreadsheet, database, and GIS programs to calculate demographic variables useful in identifying protected populations. 4) Census 1990 Summary File 3 data sets are available from the census bureau at http://www2.census.gov/census_1990. The files are online copies of the Census Bureau's Summary Tape File 3 CDs. 5) Kitamura, Ryuichi, Patricia L. Mokhtarian, and Laura Laidet. 1997. "A Micro-analysis of Land Use and Travel in Five Neighborhoods in the San Francisco Bay Area." Transportation, Vol. 24, No. 2 (May), pp. 125-158. This article examines the effects of land uses, socio-demographic characteristics, and attitudinal characteristics on travel behavior for five diverse San Francisco Bay Area neighborhoods. It employs models for numerous measures of travel behavior and confirms that neighborhood characteristics add significant explanatory power when socio-economic differences are controlled for. 6) Kitamura, Ryuichi, Takamasa Akiyama, Toshiyuki Yamamoto, and Thomas F. Golob. 2001. "Accessibility in a Metropolis - Toward a Better Understanding of Land Use and Travel." Transportation Research Record 1780. Washington, DC: Transportation Research Board, National Research Council, pp. 64-75. This article uses several accessibility indices to determine how accessibility affects aspects of long-term and short-term travel behavior in an urban area. It uses data from the Kyoto- 55