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If you mean the length of the required curbside to serve the demand, then you will have to first determine the peak hour traffic by mode, the average dwell time of each mode and the length of each mode. Once you get this information you will have to statistically determine the arrival rate of the traffic and hence find the highest curbside occupancy in terms of number of vehicles at any time during the peak hour. Once you get this length, you will multiply it my the length of each mode to gain the length of the required curbside.
When data is grouped and each of the intervals or categories has the same relative frequency, then no mode can be calculated. This can happen when the dataset is very limited. If all numbers in a dataset are the same, then it is impossible to calculate a mode, no matter how the data is grouped. Sometimes the level of variation is so much less than our measurement capability that we can not detect variations in variables.
The mode need not be unique. Furthermore, it may not exist.
The mode is the most probable value. Often, you determine the mode by plotting the experimental probability distribution, and finding the peak value. The mode is not necessarily the same as the mean nor the median, unless the distribution is symmetrical.
Calculate the mean, median, and range with the outlier, and then again without the outlier. Then find the difference. Mode will be unaffected by an outlier.