Estimation of sample size to forecast travel demand in urban public transport

Horváth, Balázs; Horváth, Richárd

doi:10.1109/mtits.2015.7223271

Cited by 6 publications

(6 citation statements)

References 1 publication

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“…In our model, we try to update a travel demand models using mobile data. Work [2] presented an alternative solution of counting and surveying to clarify the demand data. The paper dealt with the issue of needed sample size to produce reliable results.…”

Section: Related Workmentioning

confidence: 99%

Clustering of Mobile Subscriber’s Location Statistics for Travel Demand Zones Diversity

Luckner

Rosłan

Krzemińska

et al. 2017

Computer Information Systems and Industrial Management

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Part 4: Engineering of Enterprise Software ProductsInternational audienceCurrent knowledge on travel demand is necessary to keep a travel demand model up to date. However, the data gathering is a laborious and costly task. One of the approaches to this issues can be the utilisation of mobile data. In this work, we used mobile subscriber’s location statistics to define a daily characteristic of mobile events occurrences registered by Base Transceiver Stations (BTS). For types of preprocessed data were tested to create stable clusters of BTS according to registered routines. The obtained results were used to find similar travel demand zones from the Warsaw public transport demand model according to a daily activity of the citizens. The obtained results can be used to update the model or to plan a cohesive strategy of public transport development

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Section: Related Workmentioning

confidence: 99%

Clustering of Mobile Subscriber’s Location Statistics for Travel Demand Zones Diversity

Luckner

Rosłan

Krzemińska

et al. 2017

Computer Information Systems and Industrial Management

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show abstract

“…It is essential to provide information not only in the pre-trip phase, but also during the trip (e.g. alerts), thus supporting selection of alternative routes in case of accidents or traffic jams (Horváth, 2012). Alerts can be shown directly on the mobile phone or on VMS tables or screens in the stops (Patten et al, 2003).…”

Section: Trends Of Developmentmentioning

confidence: 99%

Multicriteria Analysis of Hungarian Journey Planners

Esztergár-Kiss

Csiszár

2016

Period. Polytech. Transp. Eng.

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“…DRT users provide information for road operators, e.g. the information about their choice in reference to DRT service instead of individual transport let the short-term change in modal-split be dynamically estimated (Horváth 2012). From the road users' point of view DRT can cause a reduction in the level of traffic, while from a social point of view it brings on an indirect improvement of living standards (pollution, noise, and decrease in the number of accidents).…”

Section: Pricing Systemsmentioning

confidence: 99%

New pricing theory of intelligent flexible transportation

Andrejszki

Török

2015

Transport

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Abstract. In the paper, possible pricing structures of flexible transport systems have been investigated. After a brief introduction into demand responsive systems, the currently used pricing systems have been analysed. Having reviewed the conventional pricing methodologies -in line with the average cost and marginal cost based methods -the advantages and the disadvantages of particular systems are presented. What is more, that traditional pricing theory enabled to order costs of flexible transportation systems only approximately to passengers in proportion to their demanded transportation performance, thus traditional pricing framework is not able to fully meet the principle of fairness. For reaching the highest level of fairness loops a fictive unit of individual trips is introduced as the base of pricing. When applying individual loops is gives a unique approach to describe unit cost of the operators especially considering that empty runs are taken into account in a fair way. Beside fairness, it is also an essential objective to represent economies of scale and the preference of early bookings in the pricing methodology. Accordingly, the below presented 'mixed price system' had good results in the reduction of average fares related to new travellers and also in the improvement of attraction related to 'early birds' . Therefore, the goal of this research was to define the direction and the aspects of the development process related to the pricing methods of flexible transportation.

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Estimation of sample size to forecast travel demand in urban public transport

Cited by 6 publications

References 1 publication

Clustering of Mobile Subscriber’s Location Statistics for Travel Demand Zones Diversity

Clustering of Mobile Subscriber’s Location Statistics for Travel Demand Zones Diversity

Multicriteria Analysis of Hungarian Journey Planners

New pricing theory of intelligent flexible transportation

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