ó áp7]c@sbdZddlmZdZdZeZdZdZdZ dZ d d „Z d „Z d „Zd S( sTravel Mode Choiceiÿÿÿÿ(tutilstrestructuredtextsThis is public domain.s€ Greene, W.H. and D. Hensher (1997) Multinomial logit and discrete choice models in Greene, W. H. (1997) LIMDEP version 7.0 user's manual revised, Plainview, New York econometric software, Inc. Download from on-line complements to Greene, W.H. (2011) Econometric Analysis, Prentice Hall, 7th Edition (data table F18-2) http://people.stern.nyu.edu/wgreene/Text/Edition7/TableF18-2.csv s@Data used to study travel mode choice between Australian cities sCThe data, collected as part of a 1987 intercity mode choice study, are a sub-sample of 210 non-business trips between Sydney, Canberra and Melbourne in which the traveler chooses a mode from four alternatives (plane, car, bus and train). The sample, 840 observations, is choice based with over-sampling of the less popular modes (plane, train and bus) and under-sampling of the more popular mode, car. The level of service data was derived from highway and transport networks in Sydney, Melbourne, non-metropolitan N.S.W. and Victoria, including the Australian Capital Territory.sô:: Number of observations: 840 Observations On 4 Modes for 210 Individuals. Number of variables: 8 Variable name definitions:: individual = 1 to 210 mode = 1 - air 2 - train 3 - bus 4 - car choice = 0 - no 1 - yes ttme = terminal waiting time for plane, train and bus (minutes); 0 for car. invc = in vehicle cost for all stages (dollars). invt = travel time (in-vehicle time) for all stages (minutes). gc = generalized cost measure:invc+(invt*value of travel time savings) (dollars). hinc = household income ($1000s). psize = traveling group size in mode chosen (number).cCstjtƒd|ƒS(sn Load the data modechoice data and return a Dataset class instance. Parameters ---------- as_pandas : bool Flag indicating whether to return pandas DataFrames and Series or numpy recarrays and arrays. If True, returns pandas. Returns ------- Dataset instance: See DATASET_PROPOSAL.txt for more information. t as_pandas(tdutas_numpy_datasett load_pandas(R((sClib/python2.7/site-packages/statsmodels/datasets/modechoice/data.pytload6sc Cs4tƒ}tj|ddddddddd gƒS( s² Load the data modechoice data and return a Dataset class instance. Returns ------- Dataset instance: See DATASET_PROPOSAL.txt for more information. t endog_idxitexog_idxiiiiii(t _get_dataRtprocess_pandas(tdata((sClib/python2.7/site-packages/statsmodels/datasets/modechoice/data.pyRHs cCstjtddddtƒS(Nsmodechoice.csvtsept;t convert_float(Rtload_csvt__file__tTrue(((sClib/python2.7/site-packages/statsmodels/datasets/modechoice/data.pyR UsN(t__doc__tstatsmodels.datasetsRRt __docformat__t COPYRIGHTtTITLEtSOURCEt DESCRSHORTt DESCRLONGtNOTEtNoneRRR (((sClib/python2.7/site-packages/statsmodels/datasets/modechoice/data.pyts