Adiv, A.1983: The structure of the work-trip based on analysis of trip diaries in the San Francisco Bay area. In Carpenter, S. and Jones, P., editors, Recent advances in travel demand analysis, Aldershot: Gower, 117-36.
2.
Adler, T. and Ben-Akiva, M.1979: A theoretical and empirical model of trip chaining behavior . Transportation Research B 13, 136-50.
3.
Anas, A.1982: Residential location markets and urban transportation: economic theory, econometrics and policy analysis with discrete choice models . New York: Academic Press.
4.
1983: Discrete choice theory, information theory and the multinomial logit and gravity models. Transportation Research B 17, 13-23.
5.
1984: Discrete choice theory and the general equilibrium of employment, housing and travel networks in a Lowry-type model of urban economy . Environment and Planning A 16,1489-502.
6.
Anderson, N.1974: Information integration theory: a survey. In Krantz, D., Atkinson, R. and Luce, R., editors, Contemporary developments in mathematical psychology, San Francisco: W.H. Freeman, 236-301.
7.
Avery, R., Hansen, L. and Hotz, V.1983: Multiperiod probit models and orthogonality condition estimation. International Economic Review24, 21-35.
8.
Batsell, R.1981: A multiattribute extension of the Luce model which simultaneously scales utility and substitutability. Working Paper from a Conference at Quail Roost.
9.
Bettman, J.1970: Information processing models of consumer behaviour. Journal of Marketing Research7, 370-76.
10.
Borgers, A., Van der Heijden, R. and Timmermans, H.1989: A variety seeking model of spatial choice behaviour. Environment and Planning A, forthcoming.
11.
Borgers, A. and Timmermans, H.1986a: A model of pedestrian route choice and demand for retail facilities within inner-city shopping areas. Geographical Analysis28, 115-28.
12.
1986b: City centre entry points, store locations patterns and pedestrian route choice behaviour: a micro-level simulation model. Socio-Economic Planning Sciences20, 25-31.
13.
1988 : A context-sensitive model of spatial choice behaviour. In Golledge, R. and Timmermans, H., editors, Behavioural modelling in geography and planning, London: Croom Helm , 159-78.
14.
Broom, D. and Wrigley, N.1983: Incorporating explanatory variables into stochastic panel-data models of urban shopping behaviour. Urban Geography4, 244-57.
15.
Burnett, P.1974: A three state Markov model of choice behaviour within spatial structures. Geographical Analysis6, 53-68.
16.
1975: A Bernoulli model of destination choice. Transportation Research Record527, 33-44.
17.
1977: Tests of a linear learning model of destination choice: applications to shopping travel by heterogeneous groups. Geografiska Annaler B 59, 95-108.
18.
1978: Markovian models of movement within urban spatial structures . Geographical Analysis110, 142-53.
19.
Cattin, P., Gelfland, A. and Danes, J.1983: A simple Bayesian procedure for estimation in a conjoint model. Journal of Marketing Research20, 29-36.
20.
Chatfield, C., Ehrenberg, A. and Goodhardt, G.1966: Progress on a simplified model of stationary purchasing behaviour. Journal of the Royal Statistical Society A 129, 317-67.
21.
Clark, W. and Smith, T.1985: Production system models of residential search behaviour: a comparison of computer-simulated and real-world environments. Environment and Planning A17, 555-68.
22.
Cohen, J., Fishbein, M. and Ahtola, O.1972: The nature and uses of expectancy-value models in consumer attitude research. Journal of Marketing Research9, 456-60.
23.
Coombs, C.1964: A theory of data. New York: John Wiley & Sons.
24.
Cooper, L. and Nakanishi, M.1983: Standardizing variables in multiplicative choice models . Journal of Consumer Research10, 96-108.
25.
Crouchley, R., Pickles, A. and Davies, R.1982: Dynamic models of shopping behaviour: testing the linear learning model and some alternatives. Geografiska Annaler B 63, 27-33.
26.
Daganzo, C.F.1979: Multinomial probit: the theory and its application to demand forecasting. New York: Academic Press.
27.
Daganzo, C. and Sheffi, Y.1982: Multinomial probit with time series data: unifying state dependence and serial correlation models. Environment and Planning A14, 1377-88.
28.
Damm, D.1982: Parameters of activity behaviour for use in travel analysis . Transportation Research A 16, 135-48.
29.
Davies, R.1984: A generalized beta-logistic model for longitudinal data . Environment and Planning A16, 1375-86.
30.
Davies, R. and Pickles, A.1984: Accounting for omitted variables in the analysis of panel and other longitudinal data. Papers in Planning Research 77, University of Wales, Institute of Science and Technology , Cardiff.
31.
De Palma, A.1983: Incomplete information, expectation, and subsequent decision making. Environment and Planning A15, 123-30.
32.
De Palma, A. and Lefevre, C.1981: A probabilistic search model. Journal of MathematicalSociology8, 43-60.
33.
1983: Individual decision making in dynamic collective systems . Journal of Mathematical Sociology9, 103-24.
34.
Deneubourg, J., De Palma, A. and Kahn, D.1979: Dynamic models of competition between transportation modes . Environment and Planning11, 665-73.
35.
Desbarats, J.1983: Spatial choice and constraints on behaviour. Annals of the Association of American Geographers73, 340-57.
36.
Dieleman, F.1983: Tenure and allocation policy in the Tilburg housing market . Tijdschrift voor Economishe en Sociale Geografie74, 162-74.
37.
Dunn, R., Longley, P. and Wrigley, N.1984: Logit models of urban tenure choice: graphical methods for determining functional form. Paper presented at the Symposium of the IGU Working Group on Systems Analysis and Mathematical Models, Besanon.
38.
Dunn, R., Reader, S. and Wrigley, N.1983: An investigation of the assumptions of the NBD model as applied to purchasing at individual stores. Applied Statistics32, 249-59.
39.
Dunn, R. and Wrigley, N.1985: Beta-logistic models of urban shopping center choice. GeogfraphicalAnalysis17, 95-113.
40.
Eagle, T.1984: Parameter stability in disaggregate retail choice models: experimental evidence. Journal of Retailing60, 101-23.
41.
1988 : Context effects in consumer spatial behaviour. In Golledge, R. and Timmermans, H., editors, Behavioural modelling in geography and planning , London: Croom Helm, 299-324.
42.
Ehrenberg, A.1968: The practical meaning and usefulness of the NBD/LSD theory of repeat buying. Applied Statistics17, 17-32.
43.
1972 : Repeat buying: theory and application. Amsterdam: North Holland Publishing Company.
44.
Einhorn, H.1970: The use of nonlinear, noncompensatory models in decision making. Psychological Bulletin73, 221-30.
45.
1971: Use of nonlinear noncompensatory models as a function of task and amount of information, organizational behaviour and human performance . Psychological Bulletin6, 1-27.
46.
Einhorn, H. and Gonedes, N.1971: An exponential discrepancy model for attitude evaluation . Behavioural Science16, 152-57.
47.
Farquhar, P. and Rao, V.1976: A balance model of evaluating subsets of multiattribute items. Management Science22, 528-39.
48.
Fischer, M. and Aufhauser, E.1988: Housing choice in a regulated market: a nested multinomial logit analysis. Geographical Analysis20, 47-69.
49.
Fischer, M. and Maier, G.1984: Spatial discrete choice and labour supply modelling: some alternative probability choice structures. Paper presented at the Meeting of the IGU Working Group on Systems Analysis and Mathematical Models, Besancon.
50.
Fishbein, M.1967: Attitudes and prediction of behaviour. In Fishbein, M., editor, Readings in attitude theory and measurements, New York: John Wiley & Sons, 477-92.
51.
Foerster, J.1979: Mode choice decision process models: a comparison of compensatory and noncompensatory structures. Transportation Research B 13, 17-28.
52.
Fotheringham, A.1983a: A new set of spatial interaction models: the theory of competing destinations. Environment and Planning A15, 15-36.
53.
1983b: Some theoretical aspects of destination choice and their relevance to production-constrained gravity models. Environment and Planning A 15, 1121-32.
54.
1984: Spatial structure and the parameters of spatial interaction models. Geographical Analysis12, 33-46.
55.
1985: Spatial competition and agglomeration in urban modelling . Environment and Planning A 17, 213-30.
56.
Gaudry, M. and Dagenais, M.1979: The dogit model. Transportation Research B 13, 105-11.
57.
Gensch, D. and Svenstka, J.1979: An exact heirarchical algorithm for determining aggregate statistics from individual choice data. Management Science25, 939-52.
58.
Gilbert, G., Peterson, G. and Schofer, J.1972: Markov renewal model of linked trip travel behaviour. Transportation Engineering Journal3, 691-704.
59.
Givon, M.1984: Variety seeking through brand switching. Marketing Science3, 1-22.
60.
Golledge, R.1970: Some equilibrium models of consumer behaviour. Economic Geography Supplement 46, 417-24.
61.
Golob, T.1984: A descriptive analysis of trip-chaining behaviour in the Netherlands. Proceedings, Seminar H, PTRC Summer Annual Meeting, PTRC Education and Research Service, London.
62.
1986: A non-linear canonical correlation analysis of weekly trip chaining behaviour in the Netherlands. Transportation Research A 20, 385-99.
63.
Goodhardt, G., Ehrenberg, A. and Chatfield, C.1984: The Dirichlet: a comprehensive model of buying behaviour . Journal of the Royal Statistical Society A 147, 621-55.
64.
Green, P., Goldberg, S. and Montemayor, M.1981: A hybrid utility estimation model for conjoint analysis . Journal of Marketing45, 33-41.
65.
Halperin, W.1985: The analysis of panel data for discrete choices. In Nijkamp, P., Leitner, H. and Wrigley, N., editors, Measuring the unmeasurable, The Hague: Martinus Nijhoff Publishers, 561-86.
66.
Halperin, W. and Gale, N.1984: Towards behavioural models of spatial choice: some recent developments. In Pitfield, D., editor, Discrete choice models in regional science, London: Pion, 9-28.
67.
Hanson, S.1979: Urban-travel linkages: a review. In Henscher, D. and Stopher, P., editors, Behavioural travel modelling, London: Croom Helm, 81-100.
68.
1980: Spatial diversification and multi-purpose travel: implications for choice theory. Geographical Analysis12, 245-57.
69.
Hanson, S. and Hanson, P.1981: The travel activity patterns of urban residents: dimensions and relationships to socio-demographic characteristics. Economic Geography57, 332-47.
70.
Hauser, J. and Tversky, A.1981: Agendas and choice probabilities. Working Paper from a Conference at Quail Roost.
71.
Hausman, J. and Wise, D.1978: A conditional probit model for qualitative choice: discrete decisions recognizing interdependence and heterogeneous preferences. Econometrica46, 403-26.
72.
Heckman, J.1981: Statistical models for discrete panel data. In Manski, C. and McFadden, D., editors, Structural analysis of discrete data with econometric applications, Cambridge. MA: MIT Press, 114-78.
73.
Heckman, J. and Willis, R.1977: A beta-logistic model for the analysis of sequential labor force participation by married women. Journal of Political Economy85, 27-58.
74.
Hendriks, P.1985: Measurement of attractiveness of places of study. Tijdschrift voor Economische en Sociale Geografie76, 22-31.
75.
Hensher, D.1983: A sequential attribute dominance model of probabilistic choice. Transportation Research A 17, 215-18.
76.
1984 : Model specification for quasi-dynamic discrete-continuous choice automobile demand system in discrete time using panel data. Working Paper No. 11, School of Economic and Financial Studies , Macquarie University, North Ryde, Australia.
77.
Hensher, D. and Louviere, J.1979: Behavioural intentions as predictors of very specific behaviour. Transportation8, 167-72.
78.
Hensher, D. and Wrigley, N.1984: Statistical modelling of discrete choices with panel data . Working Paper No. 16, Dimensions of Automobile Demand Project, School of Economic and Financial Studies, Macquarie University, North Ryde, Australia.
79.
Herniter, J.1971: A probabilistic market model of purchase timing and brand selection. Management Science18, 102-13.
80.
Horowitz, J.1979: Disaggregate demand model for nonwork travel. Transportation Research Record673, 65-71.
81.
1980: A utility maximizing model of the demand for multidestination non-work travel . Transportation Research B 14, 369-86.
82.
Horton, F. and Schuldiner, P.1967: The analysis of land use linkages. Highway Research Record165, 96-107.
83.
Huber, G.1974: Multiattribute utility models: a review of field and field-like studies. Management Science20, 1393-402.
84.
Huber, G., Daneshgar, R. and Ford, D.1971: An empirical comparison of five utility models for predicting job preferences. Organizational Behaviour and Human Performance6, 167-282.
85.
Huber, G., Sahney, V. and Ford, D.1969: A study of subjective evaluation models. Behavioural Science14, 483-89.
86.
Huber, J.1982: The effect of set composition on item choice: separating attraction, edge aversion and substitution effects. Working Paper, Duke University.
87.
Huber, J., Payne, J. and Puto, C.1982: Adding asymmetrically dominated alternatives: violations of regularity and the similarity hypothesis. Journal of Consumer Research9, 90-98.
88.
Huber, J. and Puto, C.1983: Market boundaries and product choice: illustrating attraction and substitution effects. Journal of Consumer Research10, 31-44.
89.
Huber, J. and Sewall, M.1982: The effect of item similarity on aggregate choice: modelling dominance and substitution effects. Working Paper, Duke University.
90.
Huigen, P.1983: Access and settlement pattern in peripheral rural areas . Paper presented at a Dutch-Hungarian Workshop on Consequences of the Rural Developments in the Netherlands and Hungary, Utrecht.
91.
Jeuland, A., Bass, F. and Wright, G.1980: A multibrand stochastic model compounding heterogenous Erland timing and multinomial choice processes. Operations Research28, 255-77.
92.
Johnson, E. and Meyer, R.1984: Compensatory choice models of noncompensatory processes: the effect of varying context. Journal of Consumer Research11, 528-41.
93.
Johnson, E. and Payne, J.1985: Effort and accuracy in choice. Management Science31, 395-414.
94.
Johnson, L. and Hensher, D.1982: Application of multinomial probit to a two-period panel data set. Transportation Research A 16, 457-64.
95.
Jones, J. and Zufryden, F.1980: Adding explanatory variables to a consumer purchase behaviour model: an exploratory study. Journal of Marketing Research17, 323-34. 1982: An approach for assessing demographic and price influences on brand purchase behaviour. Journal of Marketing46, 36-46.
96.
Kamakura, W. and Srivastava, R.1984: Predicting choice shares under conditions of brand interdependence . Journal of Marketing Research21, 420-34.
97.
Kau, K. and Ehrenberg, A.1984: Patterns of store choice. Journal of Marketing Research21, 399-409.
98.
Kitamura, R.1983: A sequential, history dependent approach to trip chaining behaviour. Transportation Research Record944, 13-22.
99.
1984a: Incorporating trip chaining into analysis of destination choice. Transportation Research B 18, 67-82.
100.
1984b: A model of daily time allocation to discretionary out-of-home activities and trips. Transportation Research B 18, 255-66.
101.
Kitamura, R. and Kermanshah, M.1983: Identifying time and history dependencies of activity choice. Transportation Research Record944, 22-30.
102.
1984: A sequential model of interdependent activity and destination choice. Transportation Research Record987, 81-89.
103.
Kitamura, R. and Lam, T.1983: A time-dependent Markov renewal model of trip chaining . In Hardle, V., Hauer, E. and Steuart, G., editors, Proceedings of the Eighth International Symposium on Transportation and Traffic Theory, Toronto: University of Toronto Press, 376-402.
104.
Knight, R. and Menchik, M.1976: Conjoint preference estimation for residential policy land use evaluation. In Golledge, R. and Rushton, G., editors, Spatial choice and spatial behaviour, Columbus, OH: Ohio State University Press, 135-56.
105.
Kondo, K. and Kitamura, R.1987: Time space constraints and the formation of trip chains . Regional Science and Urban Economics17, 49-65.
106.
Koppelman, F. and Pas, E.1985: Travel activity behaviour in time and space: methods for representation and analysis. In Nijkamp, P. , Leitner, H. and Wrigley, N., editors, Measuring the unmeasurable , The Hague: Martinus Nijhoff, 587-628.
107.
Krishnan, K.1977: Incorporating thresholds of indifference in probabilistic choice models. Management Science23, 1224-33.
108.
Krishnan, K. and Beckmann, M.1979: Dynamic disaggregate choice models with an application in transportation. Decision Sciences10, 218-31.
109.
Lattin, J. and McAlister, L.1985: Using a variety seeking model to identify substitute and complementary relationships among competing products. Journal of Marketing Research22, 330-39.
110.
Lenntorp, B.1976: Paths in time-space environments: a time-geographic study of movement possibilities of individuals. Lund Series in Geography, Series B, Human Geography No. 44, University of Lund, Sweden.
111.
Leonardi, G.1983: An optimal control representation of a stochastic multistage multiactor choice process. In Griffith, D. and Lea, A., editors, Evolving geographical structures: mathematical models and theories for space-time processes, The Hague: Martinus Nijhoff , 62-73.
112.
Lerman, S. and Liu, T.1984: Microlevel econometric analysis of retail closure. In Pitfield, D., editor, Discrete choice models in regional science, London: Pion, 181-201.
113.
Lieber, S.1979: An experimental approach to the migration decision process . Tijdschrift voor Economische en Sociale Geografie70, 75-85.
114.
Lieber, S. and Fesenmaier, D.1984: Modelling recreational choice: a case study of management alternatives in Chicago. Regional Studies18, 31-43.
115.
Lioukas, S.1984: Thresholds and transitivity in stochastic consumer choice: a multinomial logit analysis. Management Science30, 110-22.
116.
Longley, P.1984: Comparing discrete choice models: some housing market examples. In Pitfield, D., editor, Discrete choice models in regional science, London: Pion, 163-81.
117.
Longley, P. and Wrigley, N.1984: Scaling residential preferences: a methodological note . Tijdschrift voor Economische en Sociale Geografie75, 292-99.
118.
Louviere, J.1979: Modelling individual residential preferences: a totally disaggregate approach. Transportation Research B 4, 1-15.
119.
1984 a: Hierarchical information integration: a new method for the design and analysis of complex multiattribute judgment problems. In Kinnear, T., editor, Advances in consumer research Volume xi. Provo, UT: Association for Consumer Research, 148-55.
120.
1984b: Using discrete choice experiments and multinomial logit choice models to forecast trial in a competitive retail environment: a fast food restaurant illustration. Journal of Retailing60, 81-107.
121.
1985: Conjoint judgment and choice models that allow correlated attributes without sacrificing orthogonal parameter estimation. Unpublished manuscript.
122.
Louviere, J. and Gaeth, G.1987: Decomposing the determinants of retail facility choice using the method of hierarchical information integration: a supermarket illustration . Journal of Retailing63, 25-48.
123.
Louviere, J. and Henley, D.1977: Information integration theory applied to student apartment selection decisions. Geographical Analysis9, 130-41.
124.
Louviere, J. and Hensher, D.1982: Design and analysis of simulated choices or allocation experiments in travel choice modeling. Transportation Research Record890, 11-17.
125.
Louviere, J. and Kocur, G.1983b: The magnitude of individual-level variations in demand coefficients: a Xenia, Ohio case example. Transportation Research A 17, 363-74.
126.
Louviere, J. and Meyer, R.1976: A model for residential impression formation. Geographical Analysis8, 479-86.
127.
1979: Behavioural analysis of destination choice. Technical Report 112, University of Iowa.
128.
1981: A composite attitude behavioural model of traveller decision making. Transportation Research B 15, 411-20.
129.
Louviere, J. and Timmermans, H.1987: A review of some recent advances in decompositional preference and choice models. Paper presented at the Fifth European Colloquium on Quantitative and Theoretical Geography, Bardonecchia, Italy.
130.
1989: Hierarchical information integration applied to recreation destination choice. (Forthcoming.)
131.
Louviere, J. and Wilson, E.1978: Predicting consumer response in travel analysis. Transportation Planning and Technology4, 1-19.
132.
Louviere, J. and Woodworth, G.1983: Design and analysis of simulated consumer choice and allocation experiments: an approach based on aggregate data. Journal of Marketing Research10, 350-67.
133.
Luce, R.1959: Individual choice behaviour. New York : John Wiley & Sons.
134.
1977: The choice axiom after twenty years. Journal of Mathematical Psychology15, 215-33.
135.
McAlister, L.1979: Choosing multiple items from a product class. Journal of Consumer Research6, 213-24.
136.
1982: A dynamic attribute satiation model of variety seeking behaviour. Journal of Consumer Research9, 141-51.
137.
1984 : A similarity based Markov model of variety seeking behaviour: its implications and a linear programming technique to estimate its parameters , MIT Working Paper 1593-84, A. P. Sloan School of Management , Cambridge, MA.
138.
McAlister, L. and Pessemier, E.1982: Variety-seeking behaviour: an interdisciplinary review . Journal of Consumer Research9, 311-22.
139.
McFadden, D.1978: Modelling the choice of residential location. In Karlqvist, A. et al., editors, Spatial interaction theory and planning models, Amsterdam : North Holland, 75-96.
140.
Manski, C. and Lerman, S.1977: The estimation of choice probabilities from choice based samples. Econometrica45, 1977-88.
141.
Marble, D.1964: A simple Markovian model of trip structures in a metropolitan region. Papers of theRegional Science Association, 150-56.
142.
Meyer, R. and Eagle, T.1981: A parsimonious multinomial choice model recognizing alternative interdependence and context-dependent utility functions. Working Paper 26-80-81, Graduate School of Industrial Administration, Carnegie Mellon University, Pittsburg.
143.
1982: Context-induced parameter instability in a disaggregate stochastic model of store choice. Journal of Marketing Research19, 62-71.
144.
Meyer, R. and Sathi, A.1985: A multiattribute model of consumer choice during product learning. Marketing Science4, 41-61.
145.
Miller, E. and Lerman, S.1981: Disaggregate modelling and decisions of retail firms: a case study of clothing retailers. Environment and Planning A13, 729-46.
146.
Miller, E. and O'Kelly, M.1983: Estimating shopping destination models from travel diary data. The Professional Geographer35, 440-49.
147.
Miller, G., Galanter, A. and Pribam, K.1960: Plans and the structure of behaviour. New York: Holt, Rinehart & Winston.
148.
Montgomery, H. and Svenson, O.1976: On decision rules and information processing strategies for choices among multiattribute alternatives. Scandinavian Journal of Psychology17, 283-91.
149.
Nishii, K. and Sasaki, T.1986: An analysis of travel pattern and modal split in a business trip chaining. Paper Presented at the World Conference on Transport Research, Vancouver.
150.
O'Brien, L. and Wrigley, N.1984: A generalized linear model approach to categorical data analysis: theory and applications in geography and regional science. In. Bahrenberg, G., Fischer, M. and Nijkamp, P., editors, Recent developments in spatial data analysis: methodology, measurement, models, Gower: Aldershot , 231-52.
151.
O'Kelly, M.1981: A model of the demand for retail facilities incorporating multistop, multipurpose trips. Geographical Analysis13, 134-48.
152.
O'Kelly, M. and Miller, E.1984: Characteristics of multistop multipurpose travel: an empirical study of trip length. Transportation Research Record976, 33-39.
153.
Op't Veld, A., Timmermans, H. and Starmans, J.1987: Decision nets and housing choice processes. Paper presented at the Fifth European Colloquium on Quantitative and Theoretical Geography, Bardonecchia, Italy.
154.
Onaka, J.1983: A multiple-attribute housing disequilibrium model of residential mobility. Environment and Planning A15, 751-65.
155.
Onaka, J. and Clark, W.1983: A disaggregate model of residential mobility and housing choice. Geographical Analysis15, 287-304.
156.
Ortuzar, J.1983: Nesting logit models for mixed-mode travel in urban corridors . Transportation Research A 17, 283-99.
157.
Oster, C.1979: The second role of the work trip: visiting non-work destination . Transportation Research Record728, 79-81.
158.
Park, C., Hughes, R., Thurkal, V. and Friedman, R.1981: Consumer decision plans and subsequent choice behaviour . Journal of Marketing45, 33-47.
159.
Paull, A.1978: A generalized compound Poisson model for consumer purchase panel data analysis. Journal of the American Statistical Association73, 706-13. Pessemier , E.1985: Varied individual behaviour: some theories, measurement and models. Multivariate Behavioural Research20, 69-94.
160.
Peterson, G., Dwyer, J. and Darragh, A.1983: A behavioural urban site choice model. Leisure Sciences6, 61-81.
161.
Phipps, A. and Laverty, W.1983: Optimal shopping and residential search behaviour. Geographical Analysis15, 187-204.
162.
Phipps, A. and Meyer, R.1985: Normative versus heuristic models of residential search behaviour: an empirical comparison. Environment and Planning A17, 761-76.
163.
Recker, W. and Golob, T.1979: A noncompensatory model of transportation behaviour based on a sequential consideration of attributes. Economic Geography57, 373-83.
164.
Recker, W., McNally, M. and Root, G.1986a: A model of complex travel behaviour: part I: theoretical development. Transportation Research A 20, 307-18.
165.
1986b: A model of complex travel behaviour: part II: an operational model. Transportation Research A 20, 319-30.
166.
Recker, W. and Schuler, H.1981: Destination choice and processing spatial information: some empirical tests with alternative constructs. Economic Geography57, 373-83.
167.
Root, G. and Recker, W.1983: Towards a dynamic model of individual activity pattern formation. In Carpenter, S. and Jones, P., editors, Recent advances in travel demand analysis, Aldershot: Gower .
168.
Rosenberg, M.1956: Cognitive structure and attitudinal effect. Journal of Abnormal and Social Psychology53, 367-72.
169.
Scholten, H.1984: Residential mobility and loglinear modelling. In Bahrenberg, G., Fischer, M. and Nijkamp, P., editors, Recent developments in spatial data analysis: methodology, measurement, models, Aldershot: Gower, 271-88.
170.
Scholten, H. and Hooimeyer, P.1984: The use of vacancy chains and loglinear models to analyze relationships among housing submarkets. Tijdschrift voor Economische en Sociale Geografie75, 202-13.
171.
Smith, T.E. and Yu, W.1982: A prominence theory of context-sensitive choice behaviour. Journal of MathematicalSociology8, 225-49.
172.
Smith, T.R.1983: Computational process models of individual decision making behaviour. In Crosby, R., editor, Cities and regions as non-linear decision systems, Colorado : Westview Press, 175-210.
173.
Smith, T.R., Clark, W. and Cotton, J.1984: Deriving and testing production system models of sequential decision-making behaviour. Geographical Analysis16, 191-222.
174.
Smith, T.R. and Lundberg, C.1984: Psychological foundations of individual choice behaviour and a new class of decision making models. In Bahrenberg, G., Fischer, M. and Nijkamp, P., editors, Recent developments in spatial data analysis: methodology, measurement, models, Aldershot: Gower, 355-74.
175.
Smith, T.R., Pellegrino, J. and Golledge, R.1982: Computational process modelling of spatial cognition and behaviour. Geographical Analysis14, 305-25.
176.
Smith, T.R. and Slater, P.1981: A family of spatial interaction models incorporating information flows and choice set constraints applied to U.S. interstate labor flows. International Regional Science Review6, 15-31.
177.
Southworth, F.1981: Calibration of multinomial logit models of mode and destination choice. Transportation Research A 15, 315-25.
178.
Strauss, D.1981: Choice by features: an extension of Luce's choice model to account for similarities. British Journal of Mathematical and Statistical Psychology34, 50-61.
179.
Svenson, O.1979: Process descriptions of decision making. Organizational Behaviour and Human Performance23, 86-112.
180.
Swiderski, D.1983: A model for simulating spatially and temporally coordinated activity sequences on the basis of mental maps. In Carpenter, S. and Jones, P., editors, Recent advances in travel demand analysis, Aldershot: Gower, 313-34.
181.
Swinth, R.1976: A decision process model for predicting job preferences . Journal of Applied Psychology61, 242-45.
182.
Tardiff, T.1979: Definition of alternatives and representation of dynamic behavior in spatial choice models. Transportation Research Record723, 25-30.
183.
Thurstone, L.1927: A law of comparative judgment. Psychological Review34, 273-86.
1980b: Consumer spatial choice strategies: a comparative study of some alternative behavioural spatial shopping models. Geoforum11, 123-31.
186.
1982: Consumer choice of shopping center: an information integration approach. Regional Studies16, 171-82.
187.
1983: Noncompensatory decision rules and consumer spatial choice behaviour: a test of predictive ability. The Professional Geographer35, 449-85.
188.
1984a: Decompositional multiattribute preference models in spatial choice analysis: a review of some recent developments. Progress in Human Geography8, 189-221.
189.
1984 b: Decision models for predicting preferences among multiattribute choice alternatives. In Bahrenberg, G., Fischer, M. and Nijkamp, P., editors, Recent developments in spatial data analysis: methodology, measurement, models, Aldershot: Gower, 337-54.
190.
1984 c: Discrete choice models versus decompositional multiattribute preference models: a comparative analysis of model performance in the context of spatial shopping behaviour. In Pitfield, D., editor, Discrete choice models in regional science, London: Pion, 88-102.
191.
1985 : Variety seeking models and recreational choice behaviour. Paper presented at the Pacific Regional Science Conference, Molokai, Hawaii.
192.
1988 : Hierarchical information integration applied to residential choice processes. Paper presented at the Annual Meeting of the Association of American Geographers, Phoenix , Arizona.
193.
Timmermans, H. and Borgers, A.1985: Choice set constraints and spatial decision-making processes . Sistemi Urbani3, 211-20. 1989:
194.
Timmermans, H. and Van der Heijden, R.1984: The predictive ability of alternative decision rules in decompositional multiattribute preference models. Sistemi Urbani5,89-101.
195.
1987: Uncovering spatial decision-making processes: a decision net approach applied to recreational choice behaviour. Tijdschrift voor Economische en Sociale Geografie78, 297-304.
196.
Timmermans, H., Van der Heijden, R. and Westerveld, H.1984: Decision-making between multiattribute choice alternatives: a model of spatial shopping behaviour using conjoint measurements. Environment and Planning A 16, 377-87.
197.
Tversky, A.1972a: Elimination-by-aspects: a theory of choice. Psychological Review79, 281-99.
198.
1972b: Choice by elimination. Journal of Mathematical Psychology9, 341-67. 1977: Features of similarity. Psychological Review84, 327-52.
199.
Tversky, A. and Sattath, S.1979: Preference trees. Psychological Review86, 542-73.
200.
Van der Hoorn, T.1983a: Development of an activity model using a one-week activity diary data base. In Carpenter, S. and Jones, P., editors, Recent advances in travel demand analysis, Aldershot: Gower, 335-49.
201.
1983b: Experiments with an activity-based travel model. Transportation12, 61-77.
202.
Van Lierop, W.1981: Towards a new disaggregate model for the housing market . Research Memorandum 1981-1, Department of Economics, Free University, Amsterdam.
203.
1985 : Spatial interaction modelling and residential choice analysis . PhD dissertation, University of Amsterdam.
204.
Van Lierop, W. and Nijkamp, P.1984: Perspectives of disaggregate choice models in the housing market. In Pitfield, D., editor, Discrete choice models in regional science, London: Pion, 141-63.
205.
Van Lierop, W. and Rima, A.1985: Trends and prospects of qualitative disaggregate spatial choice models. In Nijkamp, P., Leitner, H. and Wrigley, N., editors, Measuring the unmeasurable: the analysis of qualitative spatial data, The Hague: Martinus Nijhoff, 393-408.
206.
Veldhuisen, J.1984: An application of a linear logit regression model to residential mobility. In Bahrenberg, G., Fischer, M. and Nijkamp, P., editors, Recent developments in spatial data analysis: methodology, measurement, models, Aldershot: Gower, 289-303.
207.
1985 : The use of biproportional fitting and logit models to estimate the demand for different dwellings by populations of small areas. In Bahrenberg, G. and Deiters, J., editors, Methodology, models and methods in regional science, OSG-Materialien Nr. 5, Osnabruck.
208.
Veldhuisen, J. and Timmermans, H.1984: Specification of individual residential utility functions: a comparative analysis of three measurement procedures. Environment and Planning A16, 1573-82.
209.
Westelius, O.1973: The individual's way of choosing between alternative outlets . Stockholm: Svensk Byggtjanst.
210.
Wheeler, J.1972: Trip purpose and urban activity linkages. Annals of the Association of American Geographers62, 641-54.
211.
Willekens, F.1983: Specification and calibration of spatial interaction models: a contingency-table perspective and an application to intra-urban migration in Rotterdam. Tijdschrift voor Economische en Sociale Geografie74, 239-52.
212.
Willekens, F. and Shah, M.1984: A note on loglinear modelling of rates and proportions . In Bahrenberg, G., Fischer, M. and Nijkamp, P., editors, Recent developments in spatial data analysis: methodology, measurement, models, Aldershot: Gower, 253-71.
213.
Wilson, A.1974: Urban and regional models in geography and planning. London: John Wiley & Sons.
214.
Wrigley, N.1980: An approach to the modelling of shop-choice patterns: an explanatory analysis of purchasing patterns in a British city. In Herbert, D. and Johnston, R., editors, Geography and the urban environment: progress in research and applications, Chichester, Sussex: John Wiley & Sons, 45-87.
215.
1985 : Categorical data analysis for geographers and environmental scientists. London: Longman.
216.
Wrigley, N. and Dunn, R.1984a: Diagnostics and resistant fits in logit choice models . In Pitfield, D., editor, Discrete choice models in regional science, London: Pion, 44-67.
217.
1984b: Stochastic panel-data models of urban shopping behaviour: 1. purchasing at individual stores in a city. Environment and Planning A 16, 629-50.
218.
1984c: Stochastic panel data models of urban shopping behaviour: 2. multi-store purchasing and the Dirichlet model. Environment and Planning A 16, 759-78.
219.
1984d: Stochastic panel-data models of urban shopping behaviour: 3. the interaction of store choice and brand choice. Environment and Planning A 16, 1221-36.
220.
1985: Stochastic panel-data models of urban shopping behaviour: 4. incorporating independent variables into the NBD and Dirichlet models. Environment and Planning A 17, 319-32.
221.
Young, W.1984: A non-trade-off decision-making model of residential location choice. Transportation Research A 18, 1-12.
222.
Young, W. and Brown, H.1983: A revealed importance elimination-by-aspects model of mode choice. Paper presented at the PTRC Summer Conference, Sussex.
223.
Young, W. and Ogden, K.1983: Analysis of freight-facility location choice using an elimination-by-aspects model. Paper presented at the Australian Transportation Research Conference, Canberra .
224.
Young, W., Richardson, A., Ogden, K. and Rattray, A.1982: Road and rail freight mode choice: the application of an elimination-by-aspects model. Transportation Research Record838, 38-44.
225.
Yu, W.1978: Contributions to applications of linear logit models in transportation research. PhD Dissertation, University of Pennsylvania, Philadelphia, PA.
226.
Zufryden, F.1977: A composite heterogeneous model of brand choice and purchase timing behaviour. Management Science24, 121-36.
227.
1978: An empirical evaluation of a composite heterogeneous model of brand choice and purchase timing behaviour. Management Science24, 761-73.
