摘要: |
The United States of America is a diverse nation. According to the 2000 U.S. Census, minorities constitute about 30% of the population. Between 2002 and 2012, the number of minorities in the U.S. labor force is projected to increase faster than the number of whites (Occupational Outlook Quarterly, p. 28, Bureau of Labor Statistics, Summer 2004). Moreover, women's share of the labor force will also continue to increase, reaching 47.5% by 2012 (Minority Labor Review, February 2004). The impact of these trends on the employment composition of some U.S. industries remains largely unknown. Despite the availability of many reports on workforce challenges facing the U.S. transportation industry, the representational data available on its employees by gender and race are limited. Such data are needed by state departments of transportation (DOTs) and transit agencies to assess the current diversity of their workforce; to establish a benchmark against which to measure and track efforts to recruit, promote, and retain a diverse workforce; and to identify successful practices being applied throughout the industry. As a starting point, this first phase of a potential two-phase study focuses on identifying, analyzing, and determining the quality of existing data for state DOTs, transit agencies, and contract employees of public transit agencies, leading to the establishment of a benchmark to measure diversity of this labor force in Phase II. The objective of Phase I is to produce a report that (1) identifies sources of existing data on the race and gender of employees of state DOTs, transit agencies, and contract employees of public transit agencies; (2) assesses the quality of the data in terms of their comprehensiveness, validity, and reliability; (3) identifies gaps discovered in the existing data and what additional data need to be collected in order to establish a credible benchmark; (4) establishes a baseline reflecting the current status of racial and gender diversity in state DOTs and transit agencies based on existing data; and (5) recommends a comprehensive work plan for Phase II. |