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_c6257 _d6257 |
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| 005 | 20210105160405.0 | ||
| 008 | 040220s2004 dcua b 001 0 eng | ||
| 020 | _a0815719299 (pbk. : alk. paper) | ||
| 041 | _aeng | ||
| 082 | 0 | 0 | _a388.4/13142/0973 |
| 100 | 1 |
_aDowns, Anthony. _938086 |
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| 245 | 1 | 0 |
_aStill stuck in traffic : _bcoping with peak-hour traffic congestion / _cAnthony Downs. |
| 260 |
_aWashington, D.C. : _bBrookings Institution Press, _c2004. |
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| 300 | _axi, 455 p. : | ||
| 440 | 0 |
_aJames A. Johnson metro series _938081 |
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| 500 | _aRev. ed. of: Stuck in traffic. 1992. | ||
| 505 | _a1.Introduction -- 2.The benefits of peak-hour traffic congestion -- 3.How bad is traffic congestion? -- 4.Causes of recent increases in peak-hour traffic congestion -- 5.Incidents and accidents as causes of congestion -- 6.Strategies for reducing congestion and four basic principles of traffic -- 7.Reducing incident-caused congestion -- 8.Increasing road-carrying capacity -- 9.Creating more public transit capacity -- 10.Peak-hour and other road pricing -- 11.Demand-side behavioral tactics -- 12.Remedies that increase densities -- 13.Changing the jobs-housing balance -- 14.Concentrating jobs in large clusters -- 15.Local growth management policies -- 16.Traffic congestion around the world -- 17.Regional anticongestion policies -- Summary and conclusions -- Appendixes: A. The dynamics of traffic congestion. B. Graphic analysis of peak-hour road pricing. C. Translating gross residential densities into net residential densities. D.A spatial model for simulating changes. E. Clustering high-density housing near transit stops -- Notes -- | ||
| 650 | 0 |
_aTraffic congestion _zUnited States. _938087 |
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| 650 | 0 |
_aTraffic flow _zUnited States. _938088 |
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| 650 | 0 |
_aLand use, Urban _zUnited States. _938089 |
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| 700 | 1 |
_aDowns, Anthony. _tStuck in traffic. _938090 |
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| 856 | 4 | 1 | _uhttp://www.loc.gov/catdir/toc/ecip0415/2004004190.html |
| 942 | _cBK | ||