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Abstract<br />

The distribution of demand in public transport during the course of a day is subject to high<br />

fluctuations which are even more distinctive than in individual motorised transport. Usually, peaks<br />

in demand occur in the morning, in the afternoon and frequently also at noon. Morning peaks are<br />

primarily caused by a high concentration of job-related or educational trips, and afternoon peaks by<br />

a high concentration of job-related or recreational trips. Peaks at noon are mainly generated by<br />

journeys with educational purposes. In peak-times public transport vehicles often operate at their<br />

full capacity or are overloaded. However, in off-peak times demand often is very low and the<br />

provided capacities are not used adequately.<br />

Besides the lack of comfort that can possibly occur in peak times in overloaded vehicles, economic<br />

aspects are relevant in this context. Public transport companies must hold a fleet that is<br />

dimensioned for the peaks in demand that are limited to few hours per day. Yet, these capacities<br />

remain unused most of the time. The same applies accordingly to staff requirements. The capacities<br />

in off-peak times that possibly cannot be adjusted to demand, e. g. because of requirements in<br />

public transport plans, are not utilised sufficiently to achieve an acceptable revenue-to-cost-ratio. As<br />

a consequence, the efficiency of public transport is compromised by the fluctuations in demand<br />

during the course of the day.<br />

For a long time the adjustment of capacities to demand has been the common reaction to changes<br />

in demand. Most recently, influencing the demand by means of traffic management measures has<br />

gained importance because an adjustment of capacities in the future is regarded as difficult in terms<br />

of financing. Influencing the time choice of public transport users can be part of a solution to the<br />

problem.<br />

The substantial influencing factors of the high demand in peak times can be classified into<br />

transport-related and transport-unrelated factors. Transport-unrelated factors on the one hand can<br />

be – from the passengers’ point of view – other-determined restrictions due to working hours,<br />

teaching hours or opening hours. On the other hand there are self-determined restrictions caused by<br />

agreements with members of the household, private activities, or personal habits. Traffic related<br />

factors are mostly related to tariffing, level of service, transport quality, and communication with<br />

passengers. Restrictions due to working and teaching hours are very relevant for the problem of<br />

peaks in demand, habits are of high relevance, tariffs of average relevance. The other factors have a<br />

low importance. The transport-related factors can be directly influenced by public transport players<br />

as opposed to the transport-unrelated factors.<br />

The main goal of influencing the time choice of public transport users is the temporal shift of<br />

journeys from peak times to off-peak times, flattening peaks and filling up valleys. This can be<br />

achieved by reduction of the temporal restrictions of public transport users in peak times (shift,<br />

transition to flexibility or even abolition of restrictions) and by improving the attractiveness of<br />

public transport in off-peak times (monetary incentives in tariffs, improvement of the level of<br />

service and the transport quality, appropriate communication with passengers that are flexible<br />

regarding time choice).<br />

Organisational, financial, operational and informational measures that contribute to balancing the<br />

fluctuations during the course of the day can be deducted from these goals. Whereas organisational<br />

measures can be used to influence transport-unrelated factors and their implementation can be<br />

encouraged by the public transport players only, financial, operational und informational measures<br />

Beeinflussung der Zeitwahl von ÖPNV-Nutzern

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