The multimodal transport user – a challenge for public transport?

Reichenbach, Max

doi:10.1016/j.trpro.2019.09.059

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…The European transport policy assumes that transport systems that are organised should respect the sustainability principles. Shifting to a more sustainable mobility system is perceived as the main challenge for the decades to come, if we want to avoid or at least mitigate the harm done by transport [88]. According to Dyr et al [89], applying alternative fuels on a wider scale may be the fundamental instrument of that policy.…”

Section: Literature Reviewmentioning

confidence: 99%

The Economic Effects of Electromobility in Sustainable Urban Public Transport

Pietrzak

2021

Energies

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This paper focuses on effects of implementing zero-emission buses in public transport fleets in urban areas in the context of electromobility assumptions. It fills the literature gap in the area of research on the impact of the energy mix of a given country on the issues raised in this article. The main purpose of this paper is to identify and analyse economic effects of implementing zero-emission buses in public transport in cities. The research area was the city of Szczecin, Poland. The research study was completed using the following research methods: literature review, document analysis (legal acts and internal documents), case study, ratio analysis, and comparative analysis of selected variants (investment variant and base variant). The conducted research study has shown that economic benefits resulting from implementing zero-emission buses in an urban transport fleet are limited by the current energy mix structure of the given country. An unfavourable energy mix may lead to increased emissions of SO2 and CO2 resulting from operation of this kind of vehicle. Therefore, achieving full effects in the field of electromobility in the given country depends on taking concurrent actions in order to diversify the power generation sources, and in particular on increasing the share of Renewable Energy Sources (RES).

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Section: Literature Reviewmentioning

confidence: 99%

The Economic Effects of Electromobility in Sustainable Urban Public Transport

Pietrzak

2021

Energies

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“…In his research work, Reichenbach [50] noted that more research is required to understand how public transport suppliers can assess the dynamics of multimodal behaviour at the user side and how synergies between modes can be enhanced.…”

Section: Multimodalitymentioning

confidence: 99%

Integrative analysis of multimodal traffic data: addressing open challenges using big data analytics in the city of Lisbon

Lemonde

Arsénio²,

Henriques

2021

Eur. Transp. Res. Rev.

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Worldwide cities are establishing efforts to collect urban traffic data from various modes and sources. Integrating traffic data, together with their situational context, offers more comprehensive views on the ongoing mobility changes and supports enhanced management decisions accordingly. Hence, cities are becoming sensorized and heterogeneous sources of urban data are being consolidated with the aim of monitoring multimodal traffic patterns, encompassing all major transport modes—road, railway, inland waterway—, and active transport modes such as walking and cycling. The research reported in this paper aims at bridging the existing literature gap on the integrative analysis of multimodal traffic data and its situational urban context. The reported work is anchored on the major findings and contributions from the research and innovation project Integrative Learning from Urban Data and Situational Context for City Mobility Optimization (ILU), a multi-disciplinary project on the field of artificial intelligence applied to urban mobility, joining the Lisbon city Council, public carriers, and national research institutes. The manuscript is focused on the context-aware analysis of multimodal traffic data with a focus on public transportation, offering four major contributions. First, it provides a structured view on the scientific and technical challenges and opportunities for data-centric multimodal mobility decisions. Second, rooted on existing literature and empirical evidence, we outline principles for the context-aware discovery of multimodal patterns from heterogeneous sources of urban data. Third, Lisbon is introduced as a case study to show how these principles can be enacted in practice, together with some essential findings. Finally, we instantiate some principles by conducting a spatiotemporal analysis of multimodality indices in the city against available context. Concluding, this work offers a structured view on the opportunities offered by cross-modal and context-enriched analysis of traffic data, motivating the role of Big Data to support more transparent and inclusive mobility planning decisions, promote coordination among public transport operators, and dynamically align transport supply with the emerging urban traffic dynamics.

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