Scenarios for the Development of Polish Passenger Transport Services in Pandemic Conditions

Cieśla, M.; Kuśnierz, Sandra; Modrzik, Oliwia; Niedośpiał, Sonia; Sosna, Patrycja

doi:10.3390/su131810278

Cited by 7 publications

(5 citation statements)

References 63 publications

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“…Many authors have focused on the integration of sharing services with public transport in their research. For example, Izdebski and Jacyna [66], Jacyna et al [67], Barcha ński et al [68], and others [69,70] proposed a model for the integration of different transport services in the decision-making process. Usually, researchers treat transport-sharing services as a complement to public transport on short and medium trips.…”

Section: Discussionmentioning

confidence: 99%

Future Development of an Energy-Efficient Electric Scooter Sharing System Based on a Stakeholder Analysis Method

2023

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E-scooters as a new form of mobility are gaining more and more popularity. This popularity results from the flexibility of this mode of transport, but above all from the positive impact on the natural environment through the much higher energy efficiency of an e-scooter compared to a motor vehicle (according to the literature the rate is 2 km per kWh equivalent for a motor vehicle and the range is 90–100 km per kWh in the case of an e-scooter). This paper introduces a discussion on the future development of an energy-efficient electric scooter sharing system based on stakeholder analysis methods. The implementation of the e-scooter sharing system involves linking several areas of human activity, including social activity. This, in turn, relates to the interactions and building of relationships with entities, particularly those influencing the provision of services and their effects. The large number of entities and the complexity of the relations between them make it a challenge both to identify stakeholders in the development of the public e-scooter system and to indicate their roles in shaping the sustainable development strategy for urban mobility. The following study was based on the methodological foundations of stakeholder theory and social network analyses. The main research objective of the article is to identify and assign to different groups the stakeholders influencing the sustainable development of energy-efficient e-scooter sharing systems based on Polish cities. An evaluation was carried out using expert methods with a stakeholder analysis, based on matrix and mapping methods, and with the MACTOR application. Relationships and cooperation suggestions were established for each of the stakeholder groups, which could become an important part of the strategic approach to supporting public transport service providers and organizers, as well as allowing for further reductions in energy consumption in the city by introducing such services on a large scale. The cooperation of the entities participating in the implementation of bike-sharing services can contribute to their greater sustainable development and assurance using the new mobility modes, which consume less energy and at the same time make the city energy-efficient.

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Section: Discussionmentioning

confidence: 99%

Future Development of an Energy-Efficient Electric Scooter Sharing System Based on a Stakeholder Analysis Method

2023

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“…Several studies have used human mobility data to analyze emerging travel activities and travel behavior in Asia and Europe during the COVID-19 pandemic [8][9][10][11][12]. The results show that the strict control measures implemented by the government mitigated the spread of COVID-19 and significantly reduced the proportion of travel activities.…”

Section: Literature Reviewmentioning

confidence: 99%

Estimating Mode of Transport in Daily Mobility during the COVID-19 Pandemic Using a Multinomial Logistic Regression Model

Mazanec

Harantová

Štefancová

et al. 2023

IJERPH

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At the beginning of 2020 there was a spinning point in the travel behavior of people around the world because of the pandemic and its consequences. This paper analyzes the specific behavior of travelers commuting to work or school during the COVID-19 pandemic based on a sample of 2000 respondents from two countries. We obtained data from an online survey, applying multinomial regression analysis. The results demonstrate the multinomial model with an accuracy of almost 70% that estimates the most used modes of transport (walking, public transport, car) based on independent variables. The respondents preferred the car as the most frequently used means of transport. However, commuters without car prefer public transport to walking. This prediction model could be a tool for planning and creating transport policy, especially in exceptional cases such as the limitation of public transport activities. Therefore, predicting travel behavior is essential for policymaking based on people’s travel needs.

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“…Cieśla et al (2021) [50] proposed four scenarios for passenger transport services (i.e., pessimistic, optimistic, most likely, and surprising (or unexpected)) in Poland during pandemic situations. Key factors that should be controlled (e.g., controlling the number of passengers inside vehicles) and that should be improved (e.g., provision of disinfectants) in order to enhance the quality of passenger transport services were identified and discussed in this study.…”

Section: Impact Of Mobility-restricting Policies On Travel Behaviormentioning

confidence: 99%

Influence of COVID-19 Mobility-Restricting Policies on Individual Travel Behavior in Malaysia

et al. 2021

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The COVID-19 pandemic has resulted in new postpandemic travel patterns as a result of the stay-at-home policies and restricted movement orders imposed by the Malaysian government. The purpose of this study was to investigate the changes in individual travel behavior after the government imposed a series of lockdowns, also known as movement control orders (MCO). From March to April 2021, a questionnaire survey was distributed throughout Malaysia, and 435 complete responses were collected. Results indicated that the respondents predominantly chose private cars for various traveling purposes during the pandemic. When choosing a travel mode during the pandemic, married respondents and essential workers placed a significantly higher priority on pandemic-related - items such as cleanliness, infection concern, social distance, and wearing face masks, compared to single respondents and nonessential workers. Binary logistic regression models were developed to estimate individuals’ propensity to make trips for different purposes, i.e., work/study, social activities, recreational activities, and religious activities. Results indicated that essential workers were nearly three times more likely than the general population to make a work trip during the pandemic. Regarding social and recreational trips, males were more likely to make such types of trips as compared to females. Furthermore, those who perceived a higher risk of infection were less likely to make social and recreational trips. Regarding religious trips, males were significantly more likely to make such trips during the pandemic as compared to females. In addition, Muslims had significantly higher odds of making a trip for religious purposes during the pandemic. The findings of this study could be useful in transportation planning when considering travel restrictions during pandemics based on peoples’ travel purposes and mode choices.

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Scenarios for the Development of Polish Passenger Transport Services in Pandemic Conditions

Cited by 7 publications

References 63 publications

Future Development of an Energy-Efficient Electric Scooter Sharing System Based on a Stakeholder Analysis Method

Future Development of an Energy-Efficient Electric Scooter Sharing System Based on a Stakeholder Analysis Method

Estimating Mode of Transport in Daily Mobility during the COVID-19 Pandemic Using a Multinomial Logistic Regression Model

Influence of COVID-19 Mobility-Restricting Policies on Individual Travel Behavior in Malaysia

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