Research Article
A Customized Deep Neural Network Approach to Investigate Travel Mode Choice with Interpretable Utility Information
Table 1
Fields of the traffic mode choice dataset.
| Index | Field |
| f1 | Observation of mode choice | f2 | Length level of trip | f3 | Departure time interval | f4 | House price of origin | f5 | Bus travel time | f6 | Taxi travel time | f7 | Private car travel time | f8 | Subway travel time | f9 | Bus ticket | f10 | Taxi price | f11 | Private car fare | f12 | Subway ticket | f13 | Bus travel time fluctuation | f14 | Taxi travel time fluctuation | f15 | Private car travel time fluctuation | f16 | Subway travel time fluctuation | f17 | No. of origin rings | f18 | No. of destination rings | f19 | Distance between ODs | f20 | Index of origin | f21 | Index of destination |
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