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The importance of human effort in planning networks

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Gradient band (%) 11. 5 The application. 12. 13. 6 Implications. Effort and time ... Hence, effort varies significantly and in a way independent of journey time ... – PowerPoint PPT presentation

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Title: The importance of human effort in planning networks


1
The importance of human effort in planning
networks
Dr John Parkin Reader in Transport Engineering
Planning j.parkin_at_bolton.ac.uk
2
  • 1 Effort the forgotten component
  • 2 The effort of cycling
  • 3 Hypotheses concerning effort
  • The experiment
  • 5 The application
  • 6 Implications

3
1 Effort the forgotten component
  • Transport models traditionally based on utility.
  • Recent have included activity based approaches
    and social psychological approaches.
  • Motive power for cycling and walking provided by
    the traveller.
  • But effort has received scant attention in any
    modelling paradigm, despite it being an easily
    measurable cost.
  • Observations are used to model the effort of
    cycling to identify energy consumption.

4
2 The effort of cycling
where W power (w) Cv
speed of the bicycle (m/s) ?mech
mechanical efficiency of the bicycle ?m
mass of rider and machine (kg) g
acceleration due to gravity (m/s2) Cr
coefficient of rolling resistance s
gradient () a acceleration of
the bicycle (m/s2) mw effective
rotational mass of the wheels and the tyres
(kg) CD aerodynamic drag
coefficient A frontal area of rider
and machine (m2) ? density of air
(kg/m3) Cw headwind (m/s)
Main source Whitt, F.R. and Wilson, D.G. (1982)
Bicycling Science. 2nd Edition. The MIT Press.
Cambridge, Massachusetts.
5
Pictorial representation of gradient effect
6
Pictorial representation of stops effect
2 stops per kilometre
4 kilometres
6 stops per kilometre
7
3 Hypotheses concerning effort
  • For starts
  • Hypothesis 1 the cyclist maintains a constant
    acceleration until normal cruising speed is
    reached. This would require additional energy
    relative to the case with no pauses and, as the
    average power output is therefore higher, would
    create additional stress and heat to the point of
    discomfort.
  • Hypothesis 2 the cyclists average power output
    during the journey is the same as if the cyclist
    maintained normal cruising speed throughout, this
    results in a cruising speed less than would be
    the case without pauses.
  • Hypothesis 3 power output is constant so that
    normal cruising speed is reached asymptotically.
  • Graham (1998)

8
  • For hills
  • 1 Increase power to above normal and maintain
    speed at some level less than normal flat
    gradient speed.
  • 2 As (1), but reduce additional power over time
    depending on hill length and gradient.
  • 3 Maintain power output as on the flat, hence
    speed reduces to new lower constant.

9
4 The experiment
  • Time-stamped x, y and z coordinates
  • 16 volunteers (four female)
  • 100 minutes of commuting data
  • Summer 2008 in Leeds, UK
  • 38 aged 30 and under
  • 16 were aged over 50
  • The types of bicycle used included touring (6),
    mountain (5), town/city (5), folding (1) and
    racing (1) bicycles.
  • All bar one either experienced or very
    experienced
  • 13 had either frequent or very frequent recent
    cycling activity.

10
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11
5 The application
12
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13
6 Implications
  • Effort and time
  • Gradients have a significantly disproportionate
    effect on total energy consumption as compared
    with their effect on journey time. Junctions
    requiring a stop serve to increase total energy
    consumption on a typical urban journey by as much
    as 10.
  • Hence, effort varies significantly and in a way
    independent of journey time
  • Hence, effort is a factor which needs to be
    considered in planning and engineering for cycle
    traffic.

14
  • On the one hand
  • All that is required to calculate the metrics
    presented are link length, height differences
    across the link, and whether or not there is a
    stop required at the upstream end of the link.
  • On the other hand
  • Added sophistication could include different
    rolling resistances, average prevailing wind
    conditions, and probabilities of being stopped at
    junctions and other points of dislocation in the
    journey.

15
  • Also
  • Behavioural perception of the effort required to
    cycle may not vary linearly with an objectively
    determined measure of effort.
  • Important to balance the perceived disutility of
    energy required for a journey against the
    ambience of the journey.
  • Finally
  • Interchanges require effort (to carry, park,
    pack, unpack etc.) and energy requirements of
    interchange may provide a good measure of the
    disutility of interchange.

16
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