Feasibility of a time-resolved index of commuter comfort
Commuting using public transportation is often perceived to be difficult. In this work, we show the feasibility of an index for commuter comfort based on environmental factors (ambient temperature, relative humidity) and motion factors (acceleration). We obtain measurements from a microelectromechanical systems (MEMS) device. The algorithm can detect changes in the heat index, shakiness, and cadence within a trip, which is difficult to measure from traditional methods that employ surveys or interviews. The index is calibrated individually, reflecting the different tolerance levels in comfort of each individual. We demonstrate the technique by a door-to-door commute that includes riding a jeepney, riding the LRT 2, idle activity, and walking.
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