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In addition to flat or linear weighting in pandana, we need logistic weighting. The previous DaySim data tools provided a logistic function for weighting, which was recommended because its shape is more representative of typical behavioral models that use logistic functions.
I approximated the logistic function using a series of flat aggregations in the attached Excel workbook. I did this using a stepwise flat weighting that calculates the buffer many times and then aggregates the result.
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