Impacts of Digital Transformation on Mobility and Transportation Sector

2021 ◽  
Vol 2 (2) ◽  
pp. 116-128
Author(s):  
Malak Shatnawi ◽  
Zoltan Rajnai
Keyword(s):  
Public Transport ◽  
Digital Transformation ◽  
Transport Sector ◽  
Online Questionnaire ◽  
The Public ◽  
Transportation Sector ◽  
Transportation Modes ◽  
Transportation Sustainability ◽  
Decisive Action ◽  
And Behavior

It is indeed a fact that the digital transformation has been changed rapidly in the last few years, and the appearance of the COVID-19 pandemic played a significant role in accelerating the wheel toward intelligent and digital transformation in all sectors; some countries have been recovered quickly from the pandemic and managed to eliminate most of the obstacles while others still struggling. The public transport sector PT during COVID-19 pandemic was affected directly, which is an inevitable result that disrupted the system. This paper will investigate through an online questionnaire survey the effect of the COVID-19 pandemic and the digital transformation on transportation modes and activities by evaluating the current situation and assessing future transportation sustainability and whether it will continue to recover appropriately. The research will identify user's awareness, attitude, and behavior toward PT before and during COVID-19, as the trend has been in favor of private vehicles and avoidance of PT, therefore increasing confidence in PT requires decisive action from governments, policymakers, and planners to keep pace with the intelligent transformation. Keywords; COVID19, transportation, sustainability, digital transformation, transportation modes, and activities.

scholarly journals Comparative TCO Analysis of Battery Electric and Hydrogen Fuel Cell Buses for Public Transport System in Small to Midsize Cities

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4384
Author(s):  
Hanhee Kim ◽  
Niklas Hartmann ◽  
Maxime Zeller ◽  
Renato Luise ◽  
Tamer Soylu
Keyword(s):  
Fuel Cell ◽  
Transport System ◽  
Public Transport ◽  
Transport Sector ◽  
Hydrogen Fuel Cell ◽  
Hydrogen Fuel ◽  
Fuel Cost ◽  
The Public ◽  
Public Transport System ◽  
Bus Body

This paper shows the results of an in-depth techno-economic analysis of the public transport sector in a small to midsize city and its surrounding area. Public battery-electric and hydrogen fuel cell buses are comparatively evaluated by means of a total cost of ownership (TCO) model building on historical data and a projection of market prices. Additionally, a structural analysis of the public transport system of a specific city is performed, assessing best fitting bus lines for the use of electric or hydrogen busses, which is supported by a brief acceptance evaluation of the local citizens. The TCO results for electric buses show a strong cost decrease until the year 2030, reaching 23.5% lower TCOs compared to the conventional diesel bus. The optimal electric bus charging system will be the opportunity (pantograph) charging infrastructure. However, the opportunity charging method is applicable under the assumption that several buses share the same station and there is a “hotspot” where as many as possible bus lines converge. In the case of electric buses for the year 2020, the parameter which influenced the most on the TCO was the battery cost, opposite to the year 2030 in where the bus body cost and fuel cost parameters are the ones that dominate the TCO, due to the learning rate of the batteries. For H2 buses, finding a hotspot is not crucial because they have a similar range to the diesel ones as well as a similar refueling time. H2 buses until 2030 still have 15.4% higher TCO than the diesel bus system. Considering the benefits of a hypothetical scaling-up effect of hydrogen infrastructures in the region, the hydrogen cost could drop to 5 €/kg. In this case, the overall TCO of the hydrogen solution would drop to a slightly lower TCO than the diesel solution in 2030. Therefore, hydrogen buses can be competitive in small to midsize cities, even with limited routes. For hydrogen buses, the bus body and fuel cost make up a large part of the TCO. Reducing the fuel cost will be an important aspect to reduce the total TCO of the hydrogen bus.

scholarly journals TRANSIÇÕES INSTITUCIONAIS NOS TRANSPORTES PÚBLICOS: A EXPERIÊNCIA BRITÂNICA DE DESREGULAMENTAÇÃO

TRANSPORTES ◽  
1995 ◽  
Vol 3 (2) ◽  
Author(s):  
Joaquim Jose Guilherme de Aragão
Keyword(s):  
Market Orientation ◽  
Public Transport ◽  
Transport Sector ◽  
British Government ◽  
Passenger Transport ◽  
Present Contribution ◽  
The Public ◽  
Direct Operation ◽  
The Common

<p>Na presente contribuição, analisa-se a experiência britânica de desregulamentação do transporte publico de passageiro. Inicialmente, retomam-se as discussões que colocaram em questão o padrão comum de envolvimento do Estado nesses serviços, que é de regulamentá-lo fortemente, subsidiá-lo e até de operá-lo. Descrevem-se as medidas colocadas em prática pelo governo britânico para reintroduzir a pura lógica de mercado no setor, assim como as justificativas por ele declaradas. Em seguida, são resumidas as avaliações por parte de diversas fontes, da dita experiência, sendo esse resumo sistematizado nos submodos transporte urbano, transporte rodoviário interurbano e transporte rural. Após esse relato, retoma-se o confronto de discussões, desta vez das realizadas depois da implantação do processo. Por fim, a luz dessas análises e a título de conclusão, algumas indagações sobre a estrutura econômica e institucional do setor de transporte publico são colocadas pelo autor.</p><p><strong>Abstract:</strong></p><p>In the present contribution, the British public passenger transport deregulation experience is analyzed. Initially, the discussions which put into question the common role of State with respect to these services (strong regulation, subsidies and even direct operation by government) are resumed. The measures taken by the British Government in order to reintroduce market orientation into the sector and also their justifications are then described. In a further section, the evaluations made by several studies on deregulation experience are systemized with respect to urban, intercity rural transport. After this description, the opinions and positions put after the ion of the deregulation experiation are resumed. Finally and conclusively, the author puts some questions on the economic and institutional structure of the public transport sector.</p>

Customer-centered knowledge management: challenges and implications for knowledge-based innovation in the public transport sector

2015 ◽  
Vol 19 (3) ◽  
pp. 559-578 ◽  
Author(s):  
Stavros Sindakis ◽  
Audrey Depeige ◽  
Eleni Anoyrkati
Keyword(s):  
Knowledge Management ◽  
Public Transport ◽  
Management Practices ◽  
Transport Systems ◽  
Transport Sector ◽  
Content Type ◽  
The Public ◽  
Knowledge Based ◽  
Knowledge Management Practices

Purpose – This study aims to explore the role of knowledge management practices in supporting current and emerging passengers’ and customer needs, aiming to create value. Specifically, the research examines the importance of customer-centred knowledge management in the delivery of innovative services and practices in the public transport sector, promoting the role of interactions between mobility stakeholders and travellers. Design/methodology/approach – A theoretical framework is developed and supported by the background literature on customer-centric knowledge management approaches, business model innovation, as well as on inter-organisational and network co-operations. Findings – Results show that the development of sustainable innovation and technologies in the transport sector requires knowledge management practices, which enable the access to knowledge about users’ needs, the mapping and evaluation of innovative knowledge, the promotion of knowledge-based innovation through collective approaches, as well as the acquisition and integration of new knowledge. Research limitations/implications – The conceptual framework developed in the paper remains limited to a theoretical understanding. Further research should empirically examine knowledge issues related to the intangible character and intellectual capital intensiveness of innovation in the transport sector. Practical implications – Researchers, public transport companies and public transport authorities are expected to benefit from this research, by developing mechanisms for customer-centred knowledge management, which is found to lead to innovative services and practices in the public transport sector. Another practical implication regards the adoption of knowledge management practices, leading to technological innovations in public transport, and advancing the level of sustainability in transport systems. Originality/value – The originality of this study lies in the development of a customer-focussed knowledge management framework, which provides a novel perspective of value creation in an attempt to engage researchers and practitioners from the transport industry in the conceptualisation and development of innovative solutions.

scholarly journals BUCHAREST PUBLIC TRANSPORT: CHALLENGES DURING THE COVID-19 PANDEMIC

2021 ◽  
Vol 11 (S.I.2) ◽  
Author(s):  
Andreea Daniela TUDOR
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Transport Sector ◽  
Research Database ◽  
Safety Measures ◽  
The Public ◽  
The People ◽  
To Come ◽  
Main Barrier ◽  
The Impact

The COVID-19 pandemic had and it’s still having a big impact on mobility since the end of 2018, when it started. Public transportation was already facing issues in all the big metropolitan cities where many people are in the same space at the same time. If we add the COVID-19 consequences and rules, public transit is the main barrier for community members to go back to their daily routines being safe and comfortable. This paper presents the changes in the public transport sector since COVID-19 started and aims to explore the consequences and possible alternatives to mitigate the impact of the pandemic crisis. As research method I decided to analyze and summarize numerous primary sources along with the public transport operators’ official websites. Both quantitative and qualitative data were used by doing a comprehensive research in ProQuest Central, Coronavirus Research Database, Elsevier ScienceDirect and Web of Science. The results suggest that reduction of mobility has been the first measure to slow the growth of the worldwide COVID-19 cases. However, the transport limitations don’t have the same impact for all modes of transport, public transport having one of the most considerable decline so far. In Bucharest, the public transport operators have imposed safety measures such as mask wearing, periodic cleaning, transparency and access to the information. Those aspects are important, but sometimes not sufficient to fight against the pandemic. What this research does is to come and complete the set of safety measures focusing on mitigating the spread of the SARS-CoV-2 virus and increase the safety of the people while using public transport vehicles.

scholarly journals A Real-Time Machine Learning Based Public Transport Bus-Passenger Information System

2021 ◽  
Author(s):  
Menzi Skhosana ◽  
Absalom Ezugwu
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Public Transport ◽  
Public Transportation ◽  
Web Application ◽  
Predictive Analytics ◽  
Current Status ◽  
Transport Sector ◽  
The Public ◽  
Cost Efficient

The era of Big Data and the Internet of Things is upon us, and it is time for developing countries to take advantage of and pragmatically apply these ideas to solve real-world problems. Many problems faced daily by the public transportation sector can be resolved or mitigated through the collection of appropriate data and application of predictive analytics. In this body of work, we are primarily focused on problems affecting public transport buses. These include the unavailability of real-time information to commuters about the current status of a given bus or travel route; and the inability of bus operators to efficiently assign available buses to routes for a given day based on expected demand for a particular route. A cloud-based system was developed to address the aforementioned. This system is composed of two subsystems, namely a mobile application for commuters to provide the current location and availability of a given bus and other related information, which can also be used by drivers so that the bus can be tracked in real-time and collect ridership information throughout the day, and a web application that serves as a dashboard for bus operators to gain insights from the collected ridership data. These were integrated with a machine learning model trained on collected ridership data to predict the daily ridership for a given route. Our novel system provides a holistic solution to problems in the public transport sector, as it is highly scalable, cost-efficient and takes full advantage of the currently available technologies in comparison with other previous work in this topic.

scholarly journals Public Transport Mode Model Selection for public Transport Users in the City of Makassar Based on the Change of Speed Travel Variables

2021 ◽  
Vol 7 (2) ◽  
pp. 133
Author(s):  
Syahlendra Syahlendra
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Stated Preference ◽  
Multinomial Logit Model ◽  
Travel Speed ◽  
The Public ◽  
Transportation Modes ◽  
Public Transportation System ◽  
Selection For ◽  
The City

The increasing number of private vehicles shows that the public transportation system in Makassar has not been maximized. this is also due to the absence of other alternative public transportation modes that can be used by the community in their activities. This study aims to determine the preference of public modes of choice if offered other alternatives, especially public transport with greater capacity. Public transportation offered in this study is busway and monorail. In this study the community was faced with 3 modes of choice namely city transportation, monorail, and busway. The data collection method used was a survey with stated preference based questionnaires, which reviewed nine conditions for variable change in travel speed. The construction of the model was carried out using STATA software and city transportation was used as the base outcome. The model is based on discrete selection models and is analyzed by the multinomial logit model. The results showed that in the nine conditions of change in travel speed, the mode of city transportation was still more dominantly chosen by the community.

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