This three-part article surveys the contributions of microeconomic analysis to urban transportation planning. Part One focuses on our understanding of the behavioral determinants of urban travel demand, including traditional qualitative choice models, and the more recent hierarchical extensions. The second part examines the direct and external costs of urban transportation, while the third considers models integrating demand and supply considerations.
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References
1.
Ben-Akiva, M.1979. Issues in transferring and updating travel-behavior models. In New horizons in travel-behavior research, P. R. Stopher, A. H. Meyburg, and W. Brog, eds. Lexington, Ma.: D.C. Heath.
2.
Ben-Akiva, M.
, and S. R. Lerman. 1977. Disaggregate travel and mobility models and measures of accessibility. Paper presented at the Third International Conference on Behavioral Travel Modelling, Tanenda, Australia.
3.
Berkson, J.1955. Maximum likelihood and minimum chi-square estimates of the logistic function. Journal of the American Statistical Association50: 130-161.
4.
Berkson, J.1951. Why I prefer logits to probits. Biometrics7: 327-339.
5.
Brady, C. R.
, and M. J. Betz. 1971. An evaluation of regression analysis and the gravity model in the Phoenix urban area. Journal of Transport Economics and Policy5, 1: 76-90.
6.
Brand, D.
, and M. D. Cheslow. 1979. Spatial, temporal and cultural transferability of travel-choice models. In New horizons in travel-behavior research, P. R. Stopher, A. H. Meyburg, and W. Brog, eds. Lexington, Ma.: D.C. Heath.
7.
Cardell, N. S.1977. Multinomial logit with correlated stochastic terms. Working paper, Charles River Associates, Boston, Ma.
8.
Charles River Associates
. 1979. Policy evaluation with travel behavior models: Methodological issues and case studies. Washington, D.C.: Office of Transportation Economic Analysis, U.S. Department of Transportation, Report DOT-P-30-79-14.
9.
Clark, C.1961. The greatest of a finite set of random variables. Operations Research9: 145-162.
10.
Coslett, S. R.1981. Efficient estimation of discretechoice models. In Structural analysis of discrete data with econometric applications, C. F. Manski and D. McFadden, eds. Cambridge, Ma.: MIT Press.
11.
Coslett, S. R. 1978. Efficient estimation of discrete choice models from choice-based samples. Ph.D. diss., Department of Economics, University of California, Berkeley.
12.
Daganzo, C.1979. Multinomial probit: The theory and its applications to demand forecasting. New York: Academic Press.
13.
Daganzo, C.
, F. Bouthelier, and Y. Sheffi. 1977. Multinomial probit and qualitative choice: A computationally efficient algorithm. Transportation Science11: 338-358.
Daly, A. J.
, and W. Zachary. 1979. Improved multiple choice models. In Identifying and measuring the determinants of mode choice, D. Hensher and Q. Dalvi, eds. London: Teakfield.
16.
Debreu, G.1960. Review of R. D. Luce, Individual choice behavior. American Economic Review50: 156-185.
17.
Delaware Valley Regional Planning Commission
. 1974. Final environmental impact statement: Center city commuter connection (January). Philadelphia, Pa.: DVRPC.
18.
Demetsky, M. J.
, and L. A. Hoel. 1972. Modal demand: A user perception model. Transportation Research6, 4: 293-308.
19.
Domencich, T.
, and D. McFadden. 1975. Urban travel demand: A behavioral analysis. New York: North-Holland.
20.
Earl, P.1983. The economic imagination. New York: M. E. Sharpe.
21.
Finney, D.1952. Probit analysis. Cambridge: Cambridge University Press.
22.
Frankena, M. W.1978. The demand for urban bus transit in Canada. Journal of Transport Economics and Policy12, 3: 280-303.
23.
Galbraith, R. A.
, and D. A. Hensher. 1982. Intrametropolitan transferability of mode choice models. Journal of Transport Economics and Policy16, 2: 7-29.
24.
Gillen, D. W.1977. Estimation and specification of the effects of parking costs on urban transportation mode choice. Journal of Urban Economics4, 2: 186-199.
25.
Hansen, S.1979. In favor of cross-cultural transferability of travel-demand models. In New horizons in travel-behavior research, P. R. Stopher, A. H. Meyburg, and W. Brog, eds. Lexington, Ma.: D.C. Heath.
26.
Hausman, J.1981. Exact consumer's surplus and deadweight loss. American Economic Review71, 4: 662-676.
27.
Hausman, J. 1978. Alternative specifications of probit models in qualitative choice. Department of Economics, Massachussetts Institute of Technology. Mimeo.
28.
Hausman, J.
, and D. McFadden. 1984. Specification tests for the multinomial logit model. Econometrica52: 1219-1240.
29.
Hausman, J.
, and D. Wise. 1978. A conditional probit model for qualitative choice: Discrete decisions recognizing independence and heterogeneous preferences. Econometrica48, 2: 403-426.
30.
Hensher, D. A.
, and R. G. Bullock. 1979. Price elasticity of commuter mode choice. Transportation Research13A, 3: 193-202.
31.
Johnson, N. L.
, and S. Kotz. 1970. Distributions in statistics: Continuous univariate distributions, 2. New York: Houghton Mifflin.
32.
Just, R. E.
, D. L. Hueth, and A. Schmitz. 1982. Applied welfare economics and public policy. Englewood Cliffs, N.J.: Prentice-Hall.
33.
Keefer, L. J.1966. Urban travel patterns for airports, shopping centers, and industrial plants. National Cooperative Highway Research Project Report No. 24. Washington, D.C.: Highway Research Board.
34.
Lave, L. B.
, and K. E. Train. 1979. A disaggregate model of auto-type choice. Transportation Research13A, 1: 1-9.
35.
Lerman, S. R.
, and C. F. Manski. 1981. On the use of simulated frequencies to approximate choice probabilities. In Structural analysis of discrete data with econometric applications, C. F. Manski and D. McFadden, eds. Cambridge, Ma.: MIT Press.
36.
Lerman, S. R.
, and C. F. Manski. 1979. Sample design for discrete choice analysis of travel behavior: The state of the art. Transportation Research13A, 1: 29-44.
37.
Lioukas, S. K.1982. Choice of travel mode and value of time in Greece. Journal of Transport Economics and Policy16, 2: 161-179.
38.
Lisco, T. 1967. The value of commuters' travel time: A study in urban transportation. Ph.D. diss., Department of Economics, Northwestern University.
39.
Louviere, J. J.1979. Some comments on premature expectations regarding spatial, temporal and cultural transferability of travel-choice models. In New horizons in travel-research behavior, P. R. Stopher, A. H. Meyburg, and W. Brog, eds. Lexington, Ma.: D.C. Heath.
40.
Luce, R. D.1959. Individual choice behavior. Next York: John Wiley and Sons.
41.
Luce, R. D.
, and P. Suppes. 1965. Preference, utility and subjective probability. In Handbook of mathematical psychology, III, R. D. Luce, R. Bush, and E. Galanter, eds. New York: John Wiley and Sons.
42.
McDonough, C. C.1973. The demand for commuter rail transport. Journal of Transport Economics and Policy7, 2: 134-143.
43.
McFadden, D.1981. Econometric models of probabilistic choice. In Structural analysis of discrete data with econometric applications, C. F. Manski and D. McFadden, eds. Cambridge, Ma.: MIT Press.
44.
McFadden, D
. 1976. The revealed preferences of a government bureaucracy: Empirical evidence. Bell Journal of Economics7, 1: 55-72.
45.
McFadden, D.1975. The revealed preferences of a government bureaucracy: Theory. Bell Journal of Economics6, 2: 401-416.
46.
McFadden, D.1973. Conditional logit analysis of qualitative choice behavior. In Frontiers of econometrics, P. Zarembka, ed. New York: Academic Press.
47.
McFadden, D.
, A. Talvitie, et al. 1977. Demand model estimation and validation. Berkeley: Institute of Transportation Studies, University of California. Special Report UCB-ITS-SR-77-9.
48.
McFadden, D.
, K. Train, and W. Tye. 1976. An application of diagnostic tests for the independence from irrelevant alternatives property of the multinomial logit model. Transportation Research Board Record, No. 637: 39-45.
49.
McKenzie, G. W.
, and I. F. Pearce. 1982. Welfare measurement-A synthesis. American Economic Review72, 4: 669-682.
50.
Manski, C. F.
, and S. R. Lerman. 1977. The estimation of choice probabilities from choice-based samples. Econometrica45: 1977-1978.
51.
Manski, C. F.
, and D. McFadden. 1981. Alternative estimators and sample designs for discrete choice analysis. In Structural analysis of discrete data with econometric applications, C. F. Manski and D. McFadden, eds. Cambridge, Ma.: MIT Press.
52.
Morlok, E. K.1978. Introduction to transportation engineering and planning. New York: Mc Graw Hill.
53.
Morlok, E. K.
, and P. A. Viton. 1980. Self-sustaining public transportation services. Transport Policy and Decision-Making1: 169-194.
54.
National Cooperative Highway Research Board
. 1978. Quick response urban travel estimation techniques and transferable parameters. Report No. 187. Washington, D.C.: National Cooperative Highway Research Board.
55.
Ortuzar, J. de D.1983. Nested logit models of mixedmode travel in urban corridors. Transportation Research17A, 4: 283-298.
56.
Peltzman, S.1975. The effects of automobile safety regulations. Journal of Political Economy83: 677-725.
57.
Schmenner, R. W.1976. The demand for urban bus transit: A route-by-route analysis. Journal of Transport Economics and Policy10, 1: 68-86.
58.
Small, K. A.
, and C. Hsiao. 1985. Multinomial logit specification tests. International Economic Review26, 3: 619-627.
59.
Small, K. A.
, and H. S. Rosen. 1981. Applied welfare economics with discrete choice models. Econometrica49: 105-130.
60.
Stopher, P. R.
, A. H. Meyburg, and W. Brog, eds. 1981. New horizons in travel-behavior research. Lexington, Ma.: D.C. Heath.
61.
Theil, H.1971. Principles of econometrics. New York: John Wiley and Sons.
62.
Thobani, M.1984. A nested logit model of travel to work and auto ownership. Journal of Urban Economics15, 3: 287-301.
63.
Train, K. E.1986. Qualitative choice analysis. Cambridge, Ma.: MIT Press.
64.
Train, K. E.1980a. The potential demand for electric vehicles. Transportation Research14A, 5-6: 405-414.
65.
Train, K. E.1980b. A structured logit model of auto ownership and mode choice. Review of Economic Studies47: 357-370.
66.
Train, K. E.1979. A comparison of the predictive ability of mode choice models with various levels of complexity. Transportation Research13A, 1: 11-16.
67.
Tversky, A.1972a. Choice-by-elimination. Journal of Mathematical Psychology9: 341-367.
68.
Tversky, A.1972b. Elimination-by-aspects: A theory of choice. Psychological Review79: 281-299.
69.
Tversky, A.
, and S. Sattath. 1979. Preference trees. Psychological Review86: 542-573.
70.
van der Goot, D.1982. A model to describe the choice of parking places. Transportation Research16A, 3: 109-116.
71.
Viton, P. A.1990. On exact welfare evaluation in discrete-choice models. Transportation Research (forthcoming).
72.
Viton, P. A.1980. The possibility of profitable bus service. Journal of Transport Economics and Policy14, 3: 295-314.
73.
Vorhees, A. M.1955. A general theory of traffic movement. Proceedings of the Institute of Traffic Engineers, pp. 46-56.
74.
Warner, S. L.1962. Stochastic choice of mode in urban travel: A study in binary choice. Evanston: Northwestern University Press.
75.
Watson, P. L.1974. Homogeneity of models of transport mode choice: The dimensions of trip length and journey purpose. Journal of Regional Science14, 2: 247-257.
76.
Willig, R. D.1976. Consumer's surplus without apology. American Economic Review66, 3: 589-597.
77.
Winston, C. M.
, and F. Mannering. 1984. Consumer demand for auto safety. American Economic Review74, 2: 316-319.
78.
Winston, C. M.
, et al. 1987. Blind intersection: Policy and the automobile industry. Washington, D.C.: The Brookings Institution.
