Modelling Commuting Activities for the Simulation of Demand Responsive Transport in Rural Areas

Dytckov, Sergei; Lorig, Fabian; Davidsson, Paul; Holmgren, Johan; Persson, Jan

doi:10.5220/0009367000890097

Cited by 2 publications

(3 citation statements)

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“…The prototype was evaluated with a simulation experiment on the municipality of Sjöbo in southern Sweden. Travel demand for commuters (travellers going to the workplace and back with either home or work activities located in the target area) was modelled based on a regional Swedish survey of travel habits [14] with modified four-step modelling approach [9]. Trip attraction and production were modelled with a linear regression model.…”

Section: Methodsmentioning

confidence: 99%

“…This behaviour is different and individual for each of the agents and depends on socio-demographic factors (e.g. age, family status, employment, or income) but also on geographical factors such as the place of residence as described in [9]. Demand and mode choice are complex multilevel problems in real life and include long-term decisions on home and workplace locations.…”

Section: Simulation Approachmentioning

confidence: 99%

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An Individual-Based Simulation Approach to Demand Responsive Transport

Dytckov

Lorig

Holmgren

et al. 2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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This article demonstrates an approach to the simulation of Demand Responsive Transport (DRT) -a flexible transport mode that typically operates as a combination of taxi and bus modes. Travellers request individual trips and DRT is capable of adjusting its routes or schedule to the needs of travellers. It has been seen as a part of the public transport network, which has the potential to reduce operational costs of public transport services, to provide better service quality for population groups with limited mobility and to improve transport fairness. However, a DRT service needs to be thoroughly planned to target the intended user groups, attract a sufficient demand level and maintain reasonable operational costs. As the demand for DRT is dynamic and heterogeneous, it is difficult to simulate it with a macro approach. To address this problem, we develop and evaluate an individual-based simulation comprising models of traveller behaviour for both supply and demand sides. Travellers choose a trip alternative with a mode choice model and DRT vehicle routing utilises a model of travellers' mode choice behaviour to optimise routes. This allows capturing supply-side operational costs and demand-side service quality for every individual, what allows for designing a personalised service that can prioritise needy groups of travellers improving transport fairness. By simulating different setups of DRT services, the simulator can be used as a decision support tool.

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Section: Methodsmentioning

confidence: 99%

Section: Simulation Approachmentioning

confidence: 99%

An Individual-Based Simulation Approach to Demand Responsive Transport

Dytckov

Lorig

Holmgren

et al. 2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Self Cite

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“…Another predicting model was proposed by [10] in South Sweden: it showed that it can serve as a useful tool for public transport planners and policymakers in evaluating the potential demand for DRT services in rural areas. The authors recommended the model to be used in conjunction with other data sources, such as demographic and socioeconomic data, to provide a comprehensive understanding of the transport needs of rural communities.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

The Role of DRT in European Urban Public Transport Systems—A Comparison between Tampere, Braunschweig and Genoa

Pavanini

Liimatainen

Sievers

et al. 2023

Future Transportation

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Demand-Responsive Transport (DRT) is one of the most valid solutions to tackle the problems affecting public transport today, both in urban and rural areas. Despite its undoubted advantages, it still remains underdeveloped compared to its great potential. The purpose of this paper is to understand the role that on-demand transport plays in the strategic choices of public transport authorities (PTAs): to this end, this study examined the DRT services of three geographically distant European cities, in order to test different social, cultural and regulatory backgrounds, examining their main characteristics. Tampere, Braunschweig and Genoa were selected for the purposes of this work; data and information were collected by viewing the official websites of public transport companies and by direct contact via mail/telephone with the managers responsible for on-call transport. The data collected were then analyzed based on specific Key Performance Indicators (KPIs) identified in academic literature. The results of this paper show that the role of on-call service in the strategic decisions of PTAs depends on the cultural context of reference; some cities focus more on urban services, others on rural transport. In all three case studies examined, on-demand transport is an important aspect of local mobility and with wide room for growth.

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Modelling Commuting Activities for the Simulation of Demand Responsive Transport in Rural Areas

Cited by 2 publications

References 0 publications

An Individual-Based Simulation Approach to Demand Responsive Transport

An Individual-Based Simulation Approach to Demand Responsive Transport

The Role of DRT in European Urban Public Transport Systems—A Comparison between Tampere, Braunschweig and Genoa

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