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All (3) ((3 results))

• 1. Passenger Bus and Urban Transit Statistics

  53C0001

  Description:

  The Passenger Bus and Urban Transit Survey is quarterly with an annual supplement. This service provided custom tabulations from this survey which covers bus companies with annual gross operating revenues (including subsidies) of $200,000 and more. The industries covered are urban transit, scheduled intercity carriers, school bus operations, charter, sightseeing bus services and limousine service to airports and stations. School bus companies with annual revenues less than $2 million are surveyed annually. Data collected on a quarterly basis include: operating revenues and expenses; service provided; employment, wage and salary information; and distance run and passengers carried. The annual survey collects information supplementary to that collected on a quarterly basis: statement of assets and liabilities; and equipment operated and fuel consumed.

  Release date: 2005-04-01

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• 2. Passenger Bus and Urban Transit Statistics Archived

  Table: 53-215-X

  Description:

  Investment, operating revenues, expenses, and other statistics on urban transit system, intercity, charter, sightseeing and shuttle services are outlined in this on-line publication. Also included are data analysis, methodologies, a glossary and an excerpt on data quality. Beginning in 1997 immediately following the presentation of data is a special analytical study.

  Release date: 2002-07-22

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• 3. Factors Affecting Urban Transit Ridership Archived

  Journals and periodicals: 53F0003X

  Geography: Canada

  Description:

  For several years, urban transit ridership in Canada has been declining. In the late 1990s, ridership began to stabilize but at a level well below the peaks reached in previous years. Many have postulated reasons for the decline, including the dominance of the automobile, changes in work locations and hours, increasing fares, decreasing subsidies and increasing suburbanization.

  Using data from approximately 85 Canadian urban transit service providers, over a period of 8 years, this paper outlines the empirical results of analysis to measure factors that have affected urban transit ridership. Among the key goals of this project was the development of measures of fare elasticity.

  Demographic, socio-economic and level of service variables were used in the research to explain changes in ridership. A variety of dummy variables was also used to account for structural differences.

  The paper concludes with an examination of major Canadian cities that carry the majority of all commuters in the country.

  Release date: 2000-06-06

Data (1) ((1 result))

• 1. Passenger Bus and Urban Transit Statistics Archived

  Table: 53-215-X

  Description:

  Investment, operating revenues, expenses, and other statistics on urban transit system, intercity, charter, sightseeing and shuttle services are outlined in this on-line publication. Also included are data analysis, methodologies, a glossary and an excerpt on data quality. Beginning in 1997 immediately following the presentation of data is a special analytical study.

  Release date: 2002-07-22

Analysis (1) ((1 result))

• 1. Factors Affecting Urban Transit Ridership Archived

  Journals and periodicals: 53F0003X

  Geography: Canada

  Description:

  For several years, urban transit ridership in Canada has been declining. In the late 1990s, ridership began to stabilize but at a level well below the peaks reached in previous years. Many have postulated reasons for the decline, including the dominance of the automobile, changes in work locations and hours, increasing fares, decreasing subsidies and increasing suburbanization.

  Using data from approximately 85 Canadian urban transit service providers, over a period of 8 years, this paper outlines the empirical results of analysis to measure factors that have affected urban transit ridership. Among the key goals of this project was the development of measures of fare elasticity.

  Demographic, socio-economic and level of service variables were used in the research to explain changes in ridership. A variety of dummy variables was also used to account for structural differences.

  The paper concludes with an examination of major Canadian cities that carry the majority of all commuters in the country.

  Release date: 2000-06-06

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