Overall, the majority of people with disabilities (62 percent) and those without disabilities (88 percent) leave the home five to seven days a week. More than half of the homebound, 1.9 million, are people with disabilities. There are 3.5 million people in this country who never leave their homes Р’вЂ“ a national homebound percentage of over one percent (see figure 2 and appendix table 1, table 2, table 3, table 4, table 5, table 6, table 7, table 8 and table 9.). 1 The disability prevalence rate among children under the age of 5 years is approximately 3 percent. resident (noninstitutionalized) population aged 5 years or older have a disability (see figure 1). Disability Information and Travel Outside the HomeР”Р„ccording to the 2000 decennial census, approximately 49.5 million people (19 percent) of the U.S. Other factors, such as the specific type of disability (e.g., vision, hearing, or physical disability), age, and severity, are not explored in this report. The purpose of this Data Analysis section is to provideР”В«ased on a distinction between the disabled and nondisabled groups, as classified by the Census definition. Personal Motor Vehicle Ownership and Use.Р”Вetailed data tables showing weighted percents and standard errors for disabled and nondisabled individuals are contained in the Appendix. Local and Long-Distance Personal Travel, and It is divided into three sections:Р”Вisability Information and Travel Outside the Home This section contains a summary of the disability survey data.

Advisory Council on Transportation Statistics.

National Transportation Knowledge Network.National Transportation Library Main - Library.Vehicle Inventory and Use Survey (VIUS).Transportation Statistics Annual Reports.Local Area Transportation Characteristics (LATCH dataset).

Government Transportation Financial Statistics.

Statistical Products and Data Main - Statistical 1.

Transportation Maps and Geospatial Data.

Introduction to Transportation Statistics.

Coverage includes: Completely new chapters on winding functions and machine design that add a significant dimension not found in any other text A new formulation of machine equations for improving analysis and modeling of machines coupled to power electronic circuits Simplified techniques throughout, from the derivation of torque equations and synchronous machine analysis to the analysis of unbalanced operation A unique generalized approach to machine parameters identification A first-rate resource for engineers wishing to master cutting-edge techniques for machine analysis, Analysis of Electric Machinery and Drive Systems is also a highly useful guide for students in the field. Focusing on reference frame theory that has been at the core of this work since the first edition, this volume goes a step further, introducing new material relevant to machine design along with numerous techniques for making the derivation of equations more direct and easy to use. The authors draw on their own extensive research efforts, bringing all topics up to date and outlining a variety of new approaches they have developed over the past decade. Introducing a new edition of the popular reference on machine analysis Now in a fully revised and expanded edition, this widely used reference on machine analysis boasts many changes designed to address the varied needs of engineers in the electric machinery, electric drives, and electric power industries.

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