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Anselin L. Spatial Econometrics: Methods and Models.Dordrecht, The Netherlands: Kluwer Academic Publishers:1988.
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Tobler W. Cellular geography//Gale S, Olsson G. Philosophyin Geography. Dordrecht: Reidel Publishing Company,1979: 379-386.
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Miller H J. Potential contributions of spatial analysis togeographic information systems for transportation(GIS-T). Geographical Analysis, 1999, 31(4):373-399.
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Gilbert A, Chakraborty J. Using geographically weightedregression for environmental justice analysis: Cumulativecancer risks from air toxics in Florida. Social Science Research,2011, 40(1): 273-286.
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Kazuaki M, Varameth V, Naoki S, et al. Discrete choicemodel with structuralized spatial effects for location analysis.Transportation Research Record, 2004, 1898:183-190.
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Fotheringham A S, Charlton M E, Brunsdon C. Geographicallyweighted regression: A natural evolution of the expansionmethod for spatial data analysis. Environmentand Planning A, 1998, 30(11): 1905-1927.
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Fotheringham A S, Brunsdon C, Charlton M. GeographicallyWeighted Regression: The Analysis of SpatiallyVarying Relationships. Hoboken, NJ: Wiley, Chichester,West Sussex, 2002.
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Tu J, Xia Z. Examining spatially varying relationships betweenland use and water quality using geographicallyweighted regression I: Model design and evaluation. Scienceof the Total Environment, 2008, 407(1): 358-378.
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McMillen D P, McDonald J F. Land use before zoning.The case of 1920's Chicago. Regional Science and UrbanEconomics,1999, 29(4): 473-489.
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Luo J, Kanala N K. Modeling urban growth with geographicallyweighted multinomial logistic Regression//Liu L, Li X, Liu K, et al. Proceedings of Geoinformatics2008 and Joint Conference on GIS and Built Environment:The Built Environment and Its Dynamics. Guangzhou,China: SPIE, 2008, 71440:71440M-71440M-11.
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Tanaka K, Yoshida K, Kawase Y. Applying geographicallyweighted regression to conjoint analysis: Empiricalfindings from urban park amenities//American AgriculturalEconomics Association(New Name 2008: Agriculturaland Applied Economics Association), 2008.
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Orange County. Orange County 2010-2011 Annual Report.2011-08-16[2012-01-01].
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Fischer M M, Hewings G J D, Nijkamp P, et al. ResidentialLocation Choice: Models and Applications. New York: Springer, 2010.
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Tang K. Green CITYnomics: The Urban War against ClimateChange. Sheffield: Greenleaf Publishing, 2009.
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Guo J, Bhat C R. Operationalizing the concept of neighborhood:Application to residential location choice analysis.Journal of Transport Geography, 2007, 15(1): 31-45.
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Bhat C R. Quasi-random maximum simulated likelihoodestimation of the Mixed Multinomial Logit Model. TransportationResearch B, 2001, 35(7): 677-693.
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Timmermans H, Borgers A, Dijk J V. Residential choicebehaviour of Dual Earner households: A decompositionaljoint choice model. Environment and Planning A, 1992,24(4): 517-533.
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Sener I N, Pendyala R M, Bhat C R. Accommodating spatialcorrelation across choice alternatives in discretechoice models: An application to modeling residential locationchoice behavior. Journal of Transport Geography,2011, 19(2): 294-303.
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Xin Y, Karthik K, Ram P, et al. Methodology to MatchDistributions of Both Household and Person Attributes inGeneration of Synthetic Populations//Proceedings of the88th Annual Meeting of the Transportation ResearchBoard (DVD),Washington, D.C., 2009: 11-15.
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Bhat C R, Guo J. A mixed spatially correlated logit model:Formulation and application to residential choice modeling.Transportation Research Part B: Methodological,2004, 38(2):147-168.
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Guo J, Bhat C. Modifiable areal units: Problem or perceptionin modeling of residential location choice? TransportationResearch Board, 2004, 1898: 138-147.
Uyar B, Kenneth H B. Impact of local public services andtaxes on dwelling choice within a single taxing jurisdiction:A discrete choice model. Journal of Real Estate Research,2005, 27(4): 427-444.
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Guo J, Bhat C R. Operationalizing the concept of neighborhood:Application to residential location choice analysis.Journal of Transport Geography, 2007, 15(1): 31-45.
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Sermons M W, Koppelman F S. Representing the differencesbetween female and male commute behavior in residentiallocation choice models. Journal of Transport Geography,2001, 9(2): 101-110.
[59]
Bhat C R. Covariance Heterogeneity in nested logit models:Econometric structure and application to intercitytravel. Transportation Research B, 1997, 31(1): 11-21.
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Bhat C R. Quasi-random maximum simulated likelihoodestimation of the Mixed Multinomial Logit Model. TransportationResearch B, 2001, 35(7): 677-693.
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Timmermans H, Borgers A, Dijk J V. Residential choicebehaviour of Dual Earner households: A decompositionaljoint choice model. Environment and Planning A, 1992,24(4): 517-533.
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Ben-Akiva M, Bowman J. Integration of an activity-based model system and a residential location model.Urban Studies, 1998, 35(7):1131-1153.
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Wadell P A behavioral simulation model for metropolitanpolicy analysis and planning: Residential location andhousing markets components of UrbanSim. Environmentand Planning B, 2000, 27(2): 247-263.
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Sener I N, Pendyala R M, Bhat C R. Accommodating spatialcorrelation across choice alternatives in discretechoice models: An application to modeling residential locationchoice behavior. Journal of Transport Geography,2011, 19(2): 294-303.