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Examples of travel speed values while walking or driving on a flat surface are presented in the following two tables. 

Example of travel speed estimation on a flat surface per land cover type for walking scenario

Example of maximum travel speed for different types of roads (extracted from Toxopeus (1996) and Nelson (2000))

In AccessMod, the scenario table allows for the attribution of a traveling mode (walking, motorized, and bicycling) and speed to each of the classes, and therefore each cell in which movement is allowed, contained in the merged land cover distribution grid (see Section 5.5.2).

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The travelling scenario table can either be created in Excel and then imported in AccessMod (see Section 5.4.1) or manually, created in AccessMod (see Sections 5.5.3, 5.5.4, 0 5.5.2 and 5.5.7). In both cases, the table is composed of the following four columns (see example in the Table below):

1. class: Merged land cover class
2. label: Merged land cover label
3. speed: Travel speed (in km/h) on flat surfaces. The value must be greater or equal to zero (see below for the latter)
4. mode: transportation mode considered for the given land cover class to be chosen from the following list:

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• MOTORIZED: the mode being applied to motorized vehicles when no corrections are being applied on the travelling speed, even if a DEM is used in the analysis.

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• WALKING: the mode applied when the population walks. In this case, a slope-based correction is applied to the indicated speed. This correction is based on Tobler’s formula (Tobler, 1993), which basically decreases or increase the effective walking speed depending on the steepness of the slope and this differently for up or down movements.

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• BICYCLING:

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• the mode applied when the population uses bikes. A slope-based correction is applied to the indicated speed. See below for details.

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Example of a travelling scenario excel file

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A graphical representation of this relation is shown in

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Speed correction for the bicycling model

This correction uses a physical biking model based on air resistance, gravity and frictional force. If the user selects the travelling mode "bicycling" within an anisotropic analysis, AccessMod estimates the power needed to achieve the velocity (and therefore, speed) entered by the user in the travelling scenario. Using this power, along with the slope derived from the DEM, AccessMod can predict the final speed at which the cyclist will cross a given cell.

The model implemented in AccessMod assumes that the increased speed due to negative slope does not exceed twice the speed obtained on a flat surface. A realistic mean value for the speed on flat surface can be around 12 km/h, but note that this can vary greatly with physical condition of the biker, the type of bike, and the road conditions.

The bicycle formula is based on a complex physical model in which several parameters were fixed in AccessMod (which cannot be changed by the user), as follows:

• Weight of the cyclist : 80 kg
• Weight of the bicycle : 15 kg
• Rolling resistance coefficient : 0.012
• Frontal area : 0.445 m2
• Wind velocity : 0 km/h
• Temperature : 20°C
• Elevation : 500m
• Transmission resistance coefficient : 0.9

A simplified description of the formula used can read as follows:

power = (velocity * resistanceBike + velocity * velocityTotal * velocityTotal * resistanceAir) / efficiencyTransmission

With:

• velocity =  velocity of the cyclist on a flat surface
• velocityTotal = velocity of the wind + velocity
• resistanceBike = Resistance of the tires and the gravity
• resistanceAir = Frontal area * air density
• efficiencyTransmission = Transmission resistance coefficient
• power = power necessary to have the bike move at the given velocity on flat surface

The final velocity (Velocity, below) is estimated by resolving a non-linear equation with the Newton's method. The non-linear equation is defined with the following: 

Tv = Velocity + Wind velocity

F   = Velocity * (resistanceAir * Tv² + resistanceBike) – efficiencyTransmission * power

F'  = resistanceAir * (3.0* Velocity + Wind velocity) * Tv + resistanceBike

For the Newton technique, we used a maximum tolerance of 0.05 and maximum 10 iterations. If there is no convergence, the result is set to 0.0 km/h. A graphical example of the corrected speeds in function of the slope for that particular speed is shown in the figure below.

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