Identifyingy the Utility Function of Transport Services From Stated Preferences

Andrejszki, Tamás; Török, Ádám; Csete, Mária Szalmáné

doi:10.1515/ttj-2015-0013

Cited by 9 publications

(11 citation statements)

References 9 publications

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“…The factors can also be defined as continuous variables or as a group of discrete variables. The stated preference method can also be used to test alternative hypotheses [17]. The utility function also contains a variable, ASC_"mode".…”

Section: Modal Splitmentioning

confidence: 99%

“…People who live in places with good accessibility tend to choose public transport and non-motorized means of transport; those who do not subsequently choose the car as "reluctant drivers or car passengers" [16]. Five passenger-focused key factors were identified in the stated modal split: travel time, cost, comfort, safety, and environmental friendliness [17].…”

Section: Introductionmentioning

confidence: 99%

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Traffic Volumes as a Modal Split Parameter

et al. 2020

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Traffic volume depends on several indicators. The most important are the degree of motorization, mobility, and especially the travel time and travel cost factor. The article presents an analysis of the possibility of using mobility surveys and traffic counts to achieve a balance between supply and demand. The frequency of congested traffic and over-capacity volumes are determined. By analyzing the trip information captured in the mobility surveys, we detected the strata causing the highest demand—economically active people with “job” as the purpose of their trip. The study area includes the Kysuce region and the city of Žilina in Slovakia. Three scenarios are processed in the article. Scenario 0 defines the current state, scenario 1 defines the situation with free-of-charge public transport, and scenario 2 represents a targeted modal split where saturation is not exceeded. The aim is to shift passengers to public transport and increase the share of public transport in the modal split. Scenario 2 is also presented in terms of saved emissions as an additional factor of relocating passengers from private to public transport. In terms of fare, we found a small change in the modal split with free-of-charge public transport.

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Section: Modal Splitmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Traffic Volumes as a Modal Split Parameter

et al. 2020

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“…In the broader literature (Bangsow 2012;Andrejszki et al 2015;Neradilova and Fedorko 2017;CeitGroup 2020), the creation of simulation models is the first step towards comprehensive automation and computerization of the Industry 4.0 concepts. Automotive companies are predominantly focused on the implementation of the Fourth Industrial Revolution, which has been mentioned in the literature (Bambura et al 2019;Cortes et al 2019;Villagomez et al 2019;Sujova et al 2020).…”

Section: Resultsmentioning

confidence: 99%

“…However, DF tools are also successfully implemented into production lines with smaller seriality and higher necessity to change or rebuild production lines. DF tools are frequently used in the unit production and are gradually set in other production types, e.g., mass or batch production with aim to increase productivity, reduce costs, and increase efficiency (Maslarić et al 2013;Andrejszki et al 2015;Nikolina et al 2015;CeitGroup 2020).…”

Section: Introductionmentioning

confidence: 99%

Utilization of computer simulation for optimization of furniture production system

Bambura

Sujová

Čierna

2020

BioRes

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Computer simulation methods are currently used to simulate production processes and optimize production systems. Computer simulation is one of the most effective tools for implementation of Industry 4.0 principles in industrial practice. This research focused on the optimization of production processes in furniture production using simulation, which is an innovative method of production optimization for furniture manufacturers. The aim of this research was to improve the production system of Slovak furniture manufacturing enterprise by creating a discrete event simulation model of production based on the analysis of its current state. Improvement indicators are specific parameters of the production system, which primarily include material flow, productivity, and workload utilization. First, with the use of Tecnomatix Plant Simulation software and the collected real production data, the original production system processes were simulated and analyzed. Second, the incorporation of more powerful devices was proposed to improve the production line. Third, the proposed improvements were simulated and analyzed. The result of this research was a statistical comparison of the parameters of the current production line and the proposed production improvements.

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“…The decision was made based on the utility of the choices. Utility refers to the total satisfaction received by an individual when using a product or service [28]. The basic assumption embodied in the random utility approach is that the decision maker is a utility maximizer, i.e., given a set of alternatives, the decision maker will choose the alternative that maximizes his utility.…”

Section: Discrete Choice Modelmentioning

confidence: 99%

Elasticity of Travel Time and Travel Cost of Private Vehicles and Public Transportation in Bandung, Indonesia

Helmmie

Joewono²

2022

ced

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Understanding mechanism of users in responding determinant variables to use mode of transport is beneficial to anticipate the effect of policy. This study aims to identify the elasticity value of travel time and travel cost of the users of private vehicles and public transportation. Using data from users of private vehicles and public transport in Bandung, Indonesia, the elasticity of travel time and travel cost was calculated based on estimated multinomial logit model (MNL) logit. The elasticity was calculated based on gasoline prices, parking fees, transfer fees, access times, travel times, and waiting times. Based on the results of the elasticity values for travel attribute, it was found that in access time and travel time, Trans Metro Bandung (TMB) Bus had the largest elasticity of -0,564 and -5,001, respectively, so TMB Bus was the most sensitive to changes in access time and travel time. In terms of waiting times and fixed costs/gasoline, conventional taxi has the highest elasticity values of -2,630 and -1,604, respectively, so conventional taxi is the most sensitive to changes in waiting time and fixed costs/gasoline.

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Identifyingy the Utility Function of Transport Services From Stated Preferences

Cited by 9 publications

References 9 publications

Traffic Volumes as a Modal Split Parameter

Traffic Volumes as a Modal Split Parameter

Utilization of computer simulation for optimization of furniture production system

Elasticity of Travel Time and Travel Cost of Private Vehicles and Public Transportation in Bandung, Indonesia

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