§ M/PhI ãóD—dZddlmZdZdZeZdZdZdZ dZ d „Z d „Z d „Z d S) zTravel Mode Choiceé)ÚutilsÚrestructuredtextzThis is public domain.a€ 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 z@Data used to study travel mode choice between Australian cities aCThe 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.aô:: 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 ($1000s). psize = traveling group size in mode chosen (number).có—t¦«S)ú¨ Load the data modechoice data and return a Dataset class instance. Returns ------- Dataset See DATASET_PROPOSAL.txt for more information. )Ú load_pandas©óúd/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/statsmodels/datasets/modechoice/data.pyÚloadr 6s€õ ‰=Œ=Ðr cóP—t¦«}tj|dgd¢¬¦«S)ré)éééééé)Ú endog_idxÚexog_idx)Ú _get_dataÚduÚprocess_pandas)Údatas r rrBs)€õ ‰;Œ;€DÝ Ô ˜T¨q¸=¸=¸=Ð IÑ IÔ IÐIr có<—tjtddd¬¦«S)Nzmodechoice.csvú;T)ÚsepÚ convert_float)rÚload_csvÚ__file__rr r rrOs€Ý Œ;•xÐ!1°sÈ$Ð OÑ OÔ OÐOr N)Ú__doc__Ústatsmodels.datasetsrrÚ __docformat__Ú COPYRIGHTÚTITLEÚSOURCEÚ DESCRSHORTÚ DESCRLONGÚNOTEr rrrr r úr)sˆðØÐØ,Ð,Ð,Ð,Ð,Ð,à"€ à (€ Ø€ð €ð€ ð /€ ðA€ð2 ð ð ð Jð Jð JðPðPðPðPðPr