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Demand Responsive Transport Service of ‘Dead-End Villages’ in Interurban Traffic

Authors: Lakatos, András; Tóth, János; Mándoki, Péter;

Demand Responsive Transport Service of ‘Dead-End Villages’ in Interurban Traffic

Abstract

Providing a sustainable public transport service for areas with several small villages or hamlets is a challenge for the whole of Europe. To serve ‘dead-end villages’, vehicles must make a to-and-fro detour to each village, which requires considerable performance from the operator, and the service must also be ordered from the responsible bodies. The number of inhabitants in rural areas is constantly decreasing, and the remaining residents are aging. This process is due to the fact that economically active people in the country tend to move into towns offering jobs and public institutions instead of commuting to work. The performance requirement of serving low transport demand areas like ‘dead-end villages’ is high, while the number of passengers is very low. Furthermore, passengers are economically less active, and thus their transport must largely be subsidized. The present study hypothesizes that replacing traditional public transport with demand responsive transport (DRT) can make the service of rural areas with less public transport service and low demand sustainable. To prove this hypothesis, a generally applicable, innovative method of analysis based on performance–allocation is introduced, and the application of this method is illustrated by a case study conducted in northeastern Hungary. The number of ‘dead-end villages’ is high in the surveyed area; consequently, the results are impressive. The mathematical model applied here uses several parameters (e.g., population, traffic surveys, trip distance, operational costs), thus the analysis is highly complex.

Keywords

public transport, sustainable transport, Environmental effects of industries and plants, TJ807-830, TD194-195, dead-end villages, Renewable energy sources, Environmental sciences, GE1-350, demand responsive transport

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Average
Top 10%
gold