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Pedestrian route-choice and activity scheduling theory and models

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Substitution of running cost (9) yields the following contribution to the <strong>route</strong> cost (6)<br />

Z Ti<br />

Z Ti<br />

<br />

E L 1 ðs; xðsÞ; vðsÞÞds ¼ E c 1 ds ¼ c 1 E½T i tŠ ð10Þ<br />

t<br />

S.P. Hoogendoorn, P.H.L. Bovy / Transportation Research Part B 38 (2004) 169–190 177<br />

t<br />

Eq. (10) shows that the contribution of the running cost factor (9) is indeed equal to the expected<br />

travel time T i t, multiplied by the weight c 1 . This weight factor c 1 expresses time–pressure, which<br />

in turn depends on for instance the trip purpose.<br />

5.4.2. Discomfort due to walking too close to obstacles <strong>and</strong> walls<br />

Obstacles are described by areas O m X, for m ¼ 1; ...; M. For any obstacle m, we assume that<br />

the running cost component L 2 is given by a monotonically decreasing function g of the distance<br />

dðx; O m Þ between the location x of the pedestrian <strong>and</strong> the obstacle, i.e.<br />

L 2 ðt; x; vÞ ¼g m ðdðO m ; xÞÞ ¼ a m expð dðO m ; xÞ=b m Þ ð11Þ<br />

The distance is defined by the minimum distance between the pedestrian location x <strong>and</strong> obstacle m<br />

dðx; O m Þ¼min<br />

y2O m<br />

fjjx yjjg ð12Þ<br />

where jjzjj is the Euclidean length of a vector z. Eq. (11) is based on the specification of the repellent<br />

force term of obstacles proposed by Helbing (1997). The parameters a m > 0 <strong>and</strong> b m > 0 are<br />

scaling parameters, describing the region of influence of obstacle m. Both a m <strong>and</strong> b m are dependent<br />

on the type of obstacle that is considered, e.g. they are different for building faces with <strong>and</strong><br />

without a window, regular walls, trees, newsst<strong>and</strong>s, etc. (HCM, 2000).<br />

5.4.3. Walking at a certain speed (planned walking speed)<br />

To describe that the planned walking speed jjvjj is a trade-off between the time remaining to get<br />

to the <strong>activity</strong> area in time <strong>and</strong> the energy use due to walking at a particular speed, we assume that<br />

this energy consumption is a quadratic function of the pedestrian speed<br />

L 3 ðt; x; vÞ ¼ 1 2 jjvjj2 ¼ 1 2 v0 v<br />

ð13Þ<br />

It is interesting to see that in practice, energy consumption, walking speed, <strong>and</strong> time–pressure<br />

appear to be closely connected: Weidmann (1993) shows that the Ôoptimal energy levelÕ (e.g.<br />

minimal energy consumption per kilometer) is attained at walking speeds of 1.39 m/s, which is<br />

close to observed average speeds of 1.34 m/s.<br />

5.4.4. Expected number of pedestrian interactions (discomfort due to crowding) <strong>and</strong> level-of-service<br />

In including the cost of the expected pedestrian interactions, we consider the function f ¼ fðt; xÞ,<br />

describing the expected number of interactions with other pedestrians at ðt; xÞ. Note that for<br />

pedestrian flow operations, the frequency <strong>and</strong> the severity of interactions (or rather, physical<br />

contact) relates directly to the definition of the level-of-service (HCM, 2000). In the remainder, it is<br />

assumed that fðt; xÞ is some (non-linear) function of the density kðt; xÞ<br />

L 4 ðt; x; vÞ ¼fðkðt; xÞÞ ð14Þ

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