Transportation Statistics
Transportation Information Sources
~~~~~~~~~~~~~~
Victoria Transport Policy
Institute
~~~~~~~~~~~~~~~~~~~~
Updated 10 March 2009
This chapter describes source of information about vehicle ownership, vehicle use, personal and freight transport and traffic crashes.
Accurate travel information is important for evaluating Transportation Demand Management. In recent years transportation statistical collection practices have improved and an increasing portion of this data has become available through the Internet. Sources of transportation statistics are described below.
|
Statistics Tips and Tricks Here are common
pitfalls when using transportation statistics, and ways to avoid them. Definitions Different data sets may use
different definitions that should be considered when making comparisons. For
example, transportation statistics may include total motor vehicles, total
roadway vehicles (including automobiles and trucks), total private vehicles,
total automobiles (which generally includes vans, light trucks and sport
utility vehicles), or cars. Similarly, there are variations in how crash
injuries and fatalities are defined, the types of pollution emissions
considered, and which public transport modes are considered. Check
definitions to be sure that you understand what they include. Transportation surveys
often undercount walking trips because they ignore short trips, non-commute
trips, travel by children, or non-motorized links of automobile and transit
trips. Always investigate the definitions of trips and the degree to which
certain modes (particularly walking trips) may be undercounted. Percentages Versus Percentage
Points There is often confusion
between changes measured as percentages and percentage points. For example,
below is a typical before-and-after shift of a TDM program. These changes can
either be described as a doubling in nonmotorized travel, a 20% increase in
transit trips, a 47% increase in alternative mode trips (7/15), an 8%
reduction in motorized (7/85), or as a 7-point mode shift. All are correct
statements, but they imply different magnitude of impacts and success. Mode Before After Nonmotorized 5% 10% Transit 10% 12% Motorized 85% 78% Always clearly distinguish
between changes percentage and percentage points. Reference units are measurement units normalized to help people
understand and compare impacts such as per capita, per mile, per trip, per
vehicle and per dollar. How these units are used and defined can affect
analysis results. For example, measuring impacts per unit of travel (such as
crash rates per 100 million vehicle-miles) implies that increased per capita
vehicle mileage reduces risks. For this reason, most impacts, such as
crashes, energy consumption and pollution emissions, should be measured per
capita rather than per mile or kilometer of travel. |
The Cross-National Time-Series Data Archive (CNTS) offers a comprehensive listing of international and national country data facts, going back to 1815. Variables and data may be accessed in the following areas: Area & Population, Industrial, & Labor Force, Size of Military, National Government Revenue & Expenditure, School Enrollment, Domestic Conflict Event Data, International Status Indicators, National Income & Currency, Telegraph & Telephone Data, Election Data, Legislative Process, Percent Annual Change Data, Trade Data, Energy Production & Consumption, Literacy, Physician Data, Urbanization, Highway vehicles, Mail Flow Data, Political Data, Industrial Production, Media (Radio, TV, Newspaper, Books) and Railroad Data.
The International Transport Forum is an inter-governmental organisation within the OECD family, previously the European Conference of Ministers of Transport (ECMT). Key figures from government and politics, business and industry, research and civil society meet annually to debate a transport topic of worldwide strategic importance. The forum maintains key statistics on transport infrastructure, vehicles, and personal and freight transport activity.
The EarthTrends database, produced by the World Resources Institute (www.wri.org), provides city- and country-level indicators on road networks, private vs. public transport use, vehicle fleets, road traffic, and fuel prices. This information is supplied by the International Road Federation (www.irfnet.org), the World Bank (www.worldbank.org/data) and the UNHabitat's Global Urban Indicators Database (www.unhabitat.org/programmes/guo/guo_indicators.asp).
The G-7 Transportation Highlights, published by the
U.S. Bureau of Transportation Statistics, is a summary statistical report on
transportation that covers the
The IRF publishes World Road Statistics, a global compilation of road and vehicle statistics compiled from official sources within national statistics offices and national road administrations in more than 200 countries.
This website provides transport-related information for major economies in Europe, Asia and Latin America, including demographics and transport infrastructure, traffic and travel, vehicle stocks, safety, and energy and emissions. Visitors to the site can browse the information presented, search for specific data by country and topic, and analyze the complete data set by building their own tables and graphs online.
The International Association of Public Transport (www.uitp.com) has compiled the Millennium Cities Database for Sustainable Transport and the Mobility In Cities Database (www.uitp.com/rome2005/RMR/en/pics/MCD-en.pdf). In total, over 200 indicators have been collected for each of the 100 cities for various years. The collected data include:
·
Population.
·
The economy and the urban structure.
·
The number of road vehicles.
·
The road network.
·
Parking.
·
Public transport networks (offer, usage and cost).
·
Individual mobility and choice of transport mode.
·
Transport system efficiency and environmental impact (duration and cost
of transport, energy consumption, accidents, pollution, etc.)
The Global Urban Indicators Database maintained by the United Nations Centre for Human Settlements (Habitat) provides statistical information on cities throughout the world, including transportation and land use data.
This extensive database includes information on population, fertility, birth, deaths, education and employment, by age, gender and race, for different years and countries throughout the world.
This website presents information on transportation and transportation-related
activities among Canada, the United States and Mexico. This database, presented
in French, English, and Spanish, covers twelve thematic areas, including
transportation and the economy, transportation safety, transportation’s impact on
energy and the environment, passenger and freight activity, and transportation
and trade. It updates data first collected in the 1996r report North American Transportation in Figures
(www.bts.gov/itt/natf.html). The
Database is produced by the North American Transportation Statistics working
group within the North American Transportation Statistics Interchange, a
trilateral initiative among the transportation and statistical agencies of
Canada, the United States and Mexico.
Organization for Economic Cooperation and Development produces a variety of transportation statistics, including the OECD Factbook (www.sourceoecd.org/factbook), which provides information on passenger transport, freight transport and road accidents for 30 countries (www.oecd.org/document/62/0,2340,en_2825_497139_2345918_1_1_1_1,00.html), including transportation statistics in spreadsheet format (http://dx.doi.org/10.1787/353365538624), and the International Road Traffic and Accident Database (www.oecd.org/document/53/0,2340,en_2649_34351_2002165_1_1_1_1,00.html), which provides comprehensive information on vehicle crashes. The OECD Online Information Services (OLISnet) is a program to improve and broaden information flows among OECD countries (www.oecd.org/statsportal/0,2639,en_2825_293564_1_1_1_1_1,00.html), including a section on transportation statistics (www.oecd.org/topicstatsportal/0,2647,en_2825_497139_1_1_1_1_1,00.html).
The Victoria Transport Policy Institute has assembled this information into the OECD Country Data Summary Spreadsheet, available at www.vtpi.org/OECD2006.xls. Table 1 illustrates some information from this spreadsheet.
Table 1 Fuel Price, Consumption, Travel And Risk (OECD, 2006; Metschies, 2005)
|
|
Fuel Prices |
Annual Transport Energy Use |
Annual Vehicle Travel |
Road Fatalities |
||||
|
|
US Cents Per Liter |
Per Capita Tonnes Petrol Equivalent |
Kms/Cap. |
Per 100,000 Population |
||||
|
|
|
To U.S. |
|
To U.S. |
|
To U.S. |
|
To U.S. |
|
|
$0.85 |
54% |
1.47 |
67% |
NA |
|
8.6 |
59% |
|
|
$1.32 |
85% |
0.96 |
44% |
NA |
|
10.8 |
74% |
|
|
$1.50 |
96% |
1.00 |
46% |
11,885 |
51% |
10.9 |
75% |
|
|
$0.68 |
44% |
1.72 |
79% |
15,169 |
66% |
8.7 |
60% |
|
|
$1.08 |
69% |
0.60 |
27% |
7,516 |
33% |
13.6 |
93% |
|
|
$1.51 |
97% |
0.94 |
43% |
13,058 |
57% |
7.4 |
51% |
|
|
$1.54 |
99% |
0.91 |
42% |
12,977 |
56% |
9.2 |
63% |
|
|
$1.42 |
91% |
0.88 |
40% |
12,865 |
56% |
7.2 |
49% |
|
|
$1.46 |
94% |
0.78 |
36% |
10,186 |
44% |
7.1 |
49% |
|
|
$1.14 |
73% |
0.73 |
33% |
3,812 |
17% |
13.5 |
93% |
|
|
$1.30 |
83% |
0.38 |
18% |
6,428 |
28% |
12.9 |
89% |
|
|
$1.64 |
105% |
1.14 |
52% |
16,217 |
70% |
7.9 |
55% |
|
|
$1.29 |
83% |
1.14 |
52% |
NA |
|
9.5 |
66% |
|
|
$1.53 |
98% |
0.77 |
35% |
15,453 |
67% |
10.3 |
71% |
|
|
$1.26 |
81% |
0.73 |
34% |
6,602 |
29% |
7.5 |
52% |
|
|
$1.35 |
87% |
0.72 |
33% |
NA |
|
14.7 |
101% |
|
|
$0.59 |
38% |
0.93 |
43% |
9,961 |
43% |
4.9 |
34% |
|
|
$1.62 |
104% |
1.38 |
63% |
NA |
|
9.9 |
68% |
|
|
$0.77 |
49% |
1.05 |
48% |
12,301 |
53% |
5.6 |
39% |
|
|
$1.61 |
103% |
0.30 |
14% |
5,256 |
23% |
15.0 |
103% |
|
|
$1.20 |
77% |
0.70 |
32% |
9,180 |
40% |
12.4 |
85% |
|
Russian Fed. |
$0.45 |
83% |
NA |
|
- |
0% |
24.1 |
166% |
|
|
$1.17 |
217% |
0.41 |
19% |
6,128 |
27% |
11.3 |
78% |
|
|
$1.21 |
224% |
0.90 |
41% |
9,270 |
40% |
11.5 |
79% |
|
|
$1.51 |
280% |
0.94 |
43% |
11,619 |
50% |
5.3 |
37% |
|
|
$1.29 |
239% |
0.96 |
44% |
12,409 |
54% |
6.9 |
48% |
|
|
$1.44 |
267% |
0.19 |
9% |
2,305 |
10% |
8.0 |
55% |
|
|
$1.56 |
289% |
0.90 |
41% |
11,614 |
50% |
5.7 |
39% |
|
|
$0.54 |
100% |
2.18 |
100% |
23,095 |
100% |
14.5 |
100% |
This table compares transportation fuel prices, energy
consumption, vehicle travel and traffic fatalities of various countries. Italic
values show each factor relative to those in the
The World Health Organization Statistical Information System (WHOSIS) provides 70 core health statistics for 193 WHO Member States. It can be searched by major categories, or through user-defined tables. The data are also published annually in the World Health Statistics Report released in May.
The World Bank Development Indicators provides some information on transportation (road networks, vehicle ownership, freight transport) as available for all countries in the world. It also includes other data on population and productivity in the World Development Indicators (www.worldbank.org/data/wdi2003/index.htm) and various specialized databases (http://econ.worldbank.org/resource.php?type=18).
The Worldwide Transportation Directory is a compilation of transportation contact points in over 180 countries. Data are organized by regional area and are restricted primarily to government and quasi-government agencies and organizations. Contact information includes country, government transportation agencies and quasi-government agencies, contact person, telephone numbers, and addresses.
CoMET and NOVA
are railway benchmarking programs through which members share information for
comparisons and analysis. The Railway Technology Strategy Centre (RTSC),
at Imperial College London, acts as the administrator, facilitates the process
and provides the research resources. CoMET (the
Community of Metros) consists of twelve
of the world’s largest metropolitan railways (metros): Berlin BVG, Hong Kong
MTR, London Underground Ltd, Metro de Madrid, Mexico City STC, Moscow MoM,
Paris Metro (RATP), Paris RER, New York City Transit, Metro de Santiago, São
Paulo MSP and Shanghai SMOC. NOVA consists of fifteen medium sized metro
systems from around the world - Bangkok, Barcelona, Buenos Aires, Delhi,
Glasgow, Lisbon, Milan, Montréal, Naples, Newcastle, Rio de Janeiro, Singapore,
Taipei, Toronto and Sydney.
The International Energy Agency provides information on international energy supply, demand, prices and conservation opportunities.
The report, International Fuel Prices 2005 provides information on gasoline and diesel prices of 172 countries, including time series of prices from 1991 – 2004, fuel tax rates, fuel tax revenue (as a portion of total national tax revenue), fuel purchasing power (relative to the cost of chicken eggs), plus estimates of total vehicle ownership, annual vehicle travel and fuel consumption, fuel subsidies, and fuel contraband. Table 2 shows some of the report price data.
Table 2 Selected Country Gasoline Prices (www.international-fuel-prices.com)
|
Country |
2004
Super Gasoline Price Per Liter |
|
|
$0.03 |
|
|
$0.04 |
|
|
$0.24 |
|
|
$0.24 |
|
|
$0.27 |
|
|
$0.28 |
|
|
$0.37 |
|
|
$0.48 |
|
|
$0.52 |
|
|
$0.54 |
|
|
$0.59 |
|
|
$0.68 |
|
|
$0.77 |
|
|
$0.81 |
|
|
$0.84 |
|
|
$0.85 |
|
|
$1.14 |
|
|
$1.20 |
|
|
$1.21 |
|
|
$1.21 |
|
|
$1.35 |
|
|
$1.44 |
|
|
$1.51 |
|
|
$1.54 |
|
|
$1.56 |
|
|
$1.62 |
This table indicates average 2004 gasoline retail prices in some of the 172 countries listed in the 2005 International Fuel Prices report. This report also provides data on diesel prices, taxes, and other information.
The U.S. DOE’s Energy Information Administration’s International Fact Sheets (www.eia.doe.gov/emeu/international/fact.html) provide information on energy supply, demand, prices and alternative fuels in various parts of the world. The The International Energy Outlook (www.eia.doe.gov/oiaf/ieo) provides information on energy production, consumption, trade, stocks, and prices.
The Asian Development Bank (ADB) produces the Urban Indicators for Managing Cities: Cities Data Book (www.adb.org/Documents/Books/Cities_Data_Book/default.asp) which provides demographic, economic and infrastructure data on various Asian cities. Tables 3 and 4 indicate examples of data from this book.
Table 3 Mode
|
|
Private Automoible |
Train, Tram, Light Rail |
Bus |
Motorcycle or Three-Wheeler |
Bicycle, including pedi-cab |
Walking |
Others, including Boat, Taxi, Animal, etc. |
|
|
11% |
7% |
38% |
18% |
11% |
16% |
0% |
|
Bishkek |
10% |
60% |
20% |
2% |
1% |
7% |
0% |
|
|
4% |
0% |
60% |
0% |
0% |
0% |
36% |
|
|
4% |
4% |
71% |
13% |
0% |
6% |
2% |
|
|
3% |
0% |
9% |
3% |
1% |
60% |
24% |
|
|
NAV |
NAV |
9% |
59% |
29% |
4% |
0% |
|
|
2% |
0% |
2% |
4% |
91% |
1% |
0% |
|
|
8% |
34% |
53% |
0% |
0% |
0% |
5% |
|
|
NAV |
NAV |
4% |
33% |
0% |
0% |
63% |
|
|
18% |
NAV |
15% |
19% |
19% |
17% |
12% |
|
Mandaluyong |
22% |
1% |
7% |
17% |
3% |
13% |
37% |
|
|
5% |
NAV |
86% |
8% |
0% |
0% |
0% |
|
|
55% |
40% |
2% |
1% |
1% |
1% |
1% |
|
Naga |
19% |
0% |
58% |
19% |
4% |
0% |
0% |
|
|
10% |
0% |
15% |
60% |
2% |
3% |
10% |
|
|
20% |
32% |
29% |
NAV |
NAV |
NAV |
19% |
|
|
11% |
7% |
38% |
18% |
11% |
16% |
0% |
|
Bishkek |
10% |
60% |
20% |
2% |
1% |
7% |
0% |
NAV – not available
Table 4 Transport
Indicators In Selected Asian Cities (ADB 2001)
|
|
Median Travel Time |
Road Infrastructure Expenditures |
Road Congestion |
Auto Ownership |
Cost Recovery Fees |
Commercial Ships |
Aviation – National |
Aviation – Internat. |
|
|
Minutes |
Annual US$ Per Capita |
% |
Per 1,000 residents |
Annual US$ Per Capita |
Per Month |
Flights Per Month |
Flights Per Month |
|
|
40 |
3.17 |
100 |
231 |
102 |
0 |
690 |
52 |
|
Bishkek |
45 |
0.94 |
70 |
109 |
1 |
0 |
386 |
269 |
|
|
NAV |
NAV |
NAV |
25 |
NAV |
68,823 |
2,900 |
19 |
|
|
35 |
11.88 |
NAV |
7 |
NAV |
NAV |
NAV |
NAV |
|
|
50 |
NAV |
NAV |
2 |
NAV |
NAV |
NAV |
NAV |
|
|
25 |
4.42 |
NAV |
NAV |
57 |
0 |
2,645 |
245 |
|
|
30 |
9.80 |
NAV |
1 |
NAV |
0 |
155 |
8 |
|
Hong |
Kong |
47 |
99.00 |
47 |
106 |
107 |
19,278 |
0 |
|
|
35 |
1.93 |
NAV |
279 |
60 |
0 |
1,905 |
395 |
|
|
40 |
2.22 |
3 |
240 |
100 |
0 |
977 |
244 |
|
Mandaluyong |
90 |
3.49 |
1 |
248 |
NAV |
2,495 |
1,170 |
4,110 |
|
|
30 |
1.38 |
15-25 |
48 |
7 |
4,487 |
567 |
87 |
|
|
20 |
106.00 |
0 |
341 |
NAV |
3,050 |
10,064 |
1,449 |
|
Naga |
30 |
23.65 |
NAV |
87 |
NAV |
0 |
76 |
NAP |
|
Phnom |
Penh |
25 |
0.83 |
NAV |
8 |
NAV |
2,265 |
NAV |
|
|
44 |
171.22 |
NAV |
290 |
NAV |
NAP |
6,452 |
8,311 |
|
|
35 |
NAV |
NAV |
115 |
NAV |
42 |
240 |
28 |
|
|
25 |
1.69 |
0 |
33 |
79 |
0 |
121 |
42 |
NAV – not available
A study by Bassett, et al. (2008) uses various data sources to calculate overall travel (mileage) and mode split (percentage of trips) by walking, cycling and public transit for various countries.
Table 5 Personal
Travel Mode Split of Various Countries (Bassett, et al. 2008)
|
Country |
Year |
Transit |
Bike |
Walk |
|
Latvia |
2003 |
32% |
5% |
30% |
|
Switzerland |
2005 |
12% |
5% |
45% |
|
Netherlands |
2006 |
5% |
25% |
22% |
|
Spain |
2000 |
12% |
|
35% |
|
Sweden |
2006 |
11% |
9% |
23% |
|
Austria |
2005 |
17% |
4% |
21% |
|
Germany |
2002 |
8% |
9% |
23% |
|
Finland |
2005 |
8% |
9% |
22% |
|
Denmark |
2003 |
8% |
15% |
16% |
|
Norway |
2001 |
10% |
4% |
22% |
|
UK |
2006 |
9% |
2% |
24% |
|
France |
1994 |
8% |
3% |
19% |
|
Belgium |
1999 |
6% |
8% |
16% |
|
Ireland |
2006 |
11% |
2% |
13% |
|
Canada |
2001 |
11% |
1% |
7% |
|
Australia |
2006 |
8% |
1% |
5% |
|
USA |
2001 |
2% |
1% |
9% |
EU (2006), Energy and Transport in Figures 2006, European Union (http://ec.europa.eu/dgs/energy_transport/ s/pocketbook/2006_en.htm) provides energy and transport statistics for the Member States of the European Union and other European countries (the countries that have applied to join the European Union and the countries of the European Free Trade Association). Data are available in spreadsheet format. The Online Database – Transport, (http://epp.eurostat.ec.europa.eu/portal/page?_pageid=0,1136228,0_45572945&_dad=portal&_schema=PORTAL) includes detailed statistics on passenger and freight transport by air and sea for the EU Member States, Candidate and EEA countries.
UNECU (2008), Annual Bulletin Of Transport Statistics For Europe And North America, Economic Commission For Europe (www.unece.org); at www.unece.org/trans/main/wp6/pdfdocs/ABTS2008.pdf; data spreadsheets at www.unece.org/trans/main/wp6/pdfdocs/ABTS2008_tables.zip. This report provides data on transport activity; transport equipment and transport infrastructure by mode (rail, road, inland waterway, maritime, intermodal and oil pipeline). This publication , as well as the Bulletin on Statistics of Road Traffic Accidents in Europe and North America, are produced by the Working Party on Transport Statistics, which administers an annual collection of data from member countries and aims to harmonize transport statistics at the international level. Additional economic, social and environmental statistics at http://w3.unece.org/pxweb/Dialog.
Eurostat provides statistical information on European countries, including vehicle ownership, personal and freight travel, population and income. The report, Passenger Mobility in Europe (http://epp.eurostat.ec.europa.eu/cache/ITY_OFFPUB/KS-SF-07-087/EN/KS-SF-07-087-EN.PDF) summarizes and compared passenger transport data from twenty European countries. Table 6 presents three main indicators for measuring
passenger mobility. The Transport Theme page (http://epp.eurostat.ec.europa.eu/pls/portal/url/page/SHARED/PER_TRANSP) includes statistics and recent reports.
Table
6 Passenger Mobility in
Europe (Eurostat, Passenger
Mobility in
|
Country |
Average
number of trips/person/day |
Average
travel distance (km)/person/day |
Average
travel time (minutes)/person/day |
|
|
3.0 |
: |
: |
|
|
: |
21.9 |
: |
|
|
3.0 |
37.3 |
: |
|
|
3.3 |
36.9 |
80.0 |
|
|
: |
37.3 |
: |
|
|
1.8 |
: |
44.4 |
|
France (FR) |
2.9 |
35.3 |
58.2 |
|
|
1.9 |
8.7 |
13.0 |
|
|
3.1 |
31.9 |
59.9 |
|
|
3.0 |
28.1 |
68.8 |
|
|
2.9 |
41.8 |
70.7 |
|
|
2.7 |
44.1 |
62.6 |
|
|
2.9 |
31.8 |
63.3 |
|
|
3.6 |
37.1 |
84.5 |
|
|
3.3 |
37.9 |
68.2 |
The ADONIS report, Analysis And Development Of New Insight Into Substitution Of Short Car Trips By Cycling And Walking, includes information on travel mode split in various European cities, as summarized in Table 7.
Table 7 Mode
Split In Selected European Cities (ADONIS, 1998)
|
City |
Foot and
Cycle |
Public
Transport |
Car |
Inhabitants |
|
|
47 % |
16 % |
34 % |
718,000 |
|
|
58 % |
6 % |
36 % |
170,000 |
|
Delf (NL) |
49 % |
7 % |
40 % |
93,000 |
|
Copenhague (DK) |
47 % |
20 % |
33 % |
562,000 |
|
|
32 % |
15 % |
51 % |
280,000 |
|
|
34 % |
8 % |
57 % |
1,983,000 |
|
|
32 % |
39 % |
29 % |
1,643,000 |
|
L’Hospitalet ( |
35 % |
36 % |
28 % |
273,000 |
|
|
48 % |
8 % |
43 % |
102,000 |
|
|
66 % |
16 % |
17 % |
215,000 |
|
|
10 % |
26 % |
54 % |
952,000 |
|
|
17 % |
17 % |
56 % |
226,000 |
|
Brujas (BE) |
27 % |
11 % |
53 % |
116,000 |
This table summarizes mode split in various European cities.
This website provides information on various European Commission transportation improvement programs, including planning and evaluation which includes statistics on transportation system performance in different cities.
The European Commission, DGVII, web page contains transport
statistics for EU countries, some countries in Eastern Europe, with comparisons
with the
The European Conference of Ministers of Transport website provides information on various forms of transportation, including time series data on road, rail and marine transport networks and use, and transport safety.
This international organization provides information on European vehicle emissions and emission reduction strategies.
Provides European travel data and information on transportation planning activities.
The Bureau of Transportation Statistics (BTS), a diversion
of the US Department of Transportation, which serves as the lead agency in
developing and coordinating intermodal transportation statistics. It provides
comprehensive data collection, analysis, and reporting for a variety of
The American Public Transportation Association (APTA) has a Transit Statistics webpage (www.apta.com/research/stats) and the annual Public Transportation Fact Book (www.apta.com/research/stats/factbook/index.cfm) which includes information on transit ridership, service, funding, operating costs, investments and revenues, by transit mode. The Federal Transit Administration supports the National Transit Database (NTD), which includes standard data reported by more than 600 transit agencies (www.ntdprogram.gov). This information is provided for individual agencies, and in national summaries. A special section of the website provides datasets for previous years (www.ntdprogram.gov/ntdprogram/archives.htm). The data include:
TransStats is a searchable index maintained by the Bureau of Transportation statistics with more than 100 transportation-related databases of various modes ― with many social and demographic data sets that are commonly used in transportation analysis.
This Bureau of Transportation annual report provides information on Mobility and Access to Transportation, Safety and Security, Global Connectivity, and Energy and Environment.
The U.S. Federal Highway Administration’s annual Highway Statistics reports provide comprehensive information on roadway conditions, travel and expenditures in the U.S. The major sections are listed below, with most data provided by state and national totals.
· Section I: Motor Fuel: consumption of petroleum and alternative fuels, prices and taxes.
· Section II: Motor Vehicles: registrations, mileage, fuel efficiency and taxes.
· Section III: Driver Licensing: driver licenses by age group.
· Section IV: Highway Finance: vehicle user fee receipts, roadway expenditures, toll revenues, and transit expenditures, each grouped by local, state and federal level of government.
· Section V: Roadway Extent, Characteristics, and Performance: public road supply, vehicle traffic and fatalities by roadway category (highway, arterial, collector, local, etc.) and geographic location (urban or rural).
·
Section VI: International Comparison: compares
various transportation data with
The Metropolitan Travel Survey Archives is
a special project by the University of Minnesota, funded by the U.S. Bureau of
Transportation Statistics and the Federal Highway Administration, to store,
preserve, and make publicly available, via the internet, travel surveys
conducted by U.S. metropolitan areas, states and localities. As of 2006 the archive hosts about 58 surveys from
28 different agencies spanning over 40 years. Of these surveys, 44 have been
converted to a standardized format to facilitate comparison and analysis.
The San Francisco Bay Area Metropolitan
Transportation Commission’s Census
Data & Reports website (www.mtc.ca.gov/maps_and_data/datamart/census)
provides an excellent example of transportation-related statistics for a
specific metropolitan region
The U.S. Census Bureau collects and distributes a variety of
data about the people and economy of the
Government agencies are estimated to spend approximately $600 million annually to collect environmental statistics, but these efforts are inefficient and the resulting data are often poor quality due to inadequate coordination (GAO, 2004; Bullock, 2006).
The
The Bureau of Labor Statistics produces the Consumer Expenditure Survey, which provides information on consumer expenditures on vehicles and other transportation related goods. It also provides price indices that are useful for adjusting prices to acc