The combination of e-bike-sharing and demand-responsive transport systems in rural areas: A case study of Velenje

Bruzzone, Francesco; Scorrano, Mariangela; Nocera, Silvio

doi:10.1016/j.rtbm.2020.100570

Cited by 38 publications

(20 citation statements)

References 63 publications

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“…Equipping the stations with e-bikes is a bit of a challenge compared to traditional BBSs. E-bikes are popular among BBS users due to the lack of physical effort while driving, especially in mountainous areas, but they are, nevertheless, sensitive to travel speed, journey length, and duration of the activity, as these parameters determine the endurance of the batteries [46]. In turn, the need to charge the batteries requires access to a reliable source of energy, which to some extent complicates the choice of the location of BSS stations [47].…”

Section: Trip Records Of the Bssmentioning

confidence: 99%

External Environmental Analysis for Sustainable Bike-Sharing System Development

Macioszek

Cieśla

2022

Energies

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The paper introduces a discussion regarding the development of a public bike-sharing system, considering random factors, based on selected external environmental analysis methods. The global energy crisis is forcing scientists to continuously improve energy-efficient sustainable methods and scientific solutions. It is particularly important in transportation since transport activities and the constant increase in the number of vehicles have a large share in global energy consumption. The following study investigates the social, technological, economic, environmental, and political aspects of bike-sharing systems in cities. The research purpose of the article is to select the most important macro-environmental factors and their mutual interaction influencing the sustainable development of bike-sharing systems based on the Polish cities case study. The evaluation was carried out through expert methods with STEEP environmental analysis, evaluation of factors with the weighted score, and structural analysis method with MICMAC computer application. The classification of key factors influencing the development of a bike-sharing system has divided them into five groups. It can support public transport service providers and organizers. This can optimize the planning process with decision-making based on future environmental trends.

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Section: Trip Records Of the Bssmentioning

confidence: 99%

External Environmental Analysis for Sustainable Bike-Sharing System Development

Macioszek

Cieśla

2022

Energies

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“…Indeed, a previous report showed that the line or mobile source contribute 21.2% of PM2.5 in Taiwan [45]. Therefore, transportation systems should be discussed, including electronic transport tools [51][52][53].…”

Section: Limitationsmentioning

confidence: 99%

County-Wide Mortality Assessments Attributable to PM2.5 Emissions from Coal Consumption in Taiwan

Chio

Tsuang

et al. 2022

IJERPH

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Over one-third of energy is generated from coal consumption in Taiwan. In order to estimate the health impact assessment attributable to PM2.5 concentrations emitted from coal consumption in Taiwan. We applied a Gaussian trajectory transfer-coefficient model to obtain county-wide PM2.5 exposures from coal consumption, which includes coal-fired power plants and combined heat and power plants. Next, we calculated the mortality burden attributable to PM2.5 emitted by coal consumption using the comparative risk assessment framework developed by the Global Burden of Disease study. Based on county-level data, the average PM2.5 emissions from coal-fired plants in Taiwan was estimated at 2.03 ± 1.29 (range: 0.32–5.64) μg/m3. With PM2.5 increments greater than 0.1 mg/m3, there were as many as 16 counties and 66 air quality monitoring stations affected by coal-fired plants and 6 counties and 18 monitoring stations affected by combined heat and power plants. The maximum distances affected by coal-fired and combined heat and power plants were 272 km and 157 km, respectively. Our findings show that more counties were affected by coal-fired plants than by combined heat and power plants with significant increments of PM2.5 emissions. We estimated that 359.6 (95%CI: 334.8–384.9) annual adult deaths and 124.4 (95%CI: 116.4–132.3) annual premature deaths were attributable to PM2.5 emitted by coal-fired plants in Taiwan. Even in six counties without power plants, there were 75.8 (95%CI: 60.1–91.5) deaths and 25.8 (95%CI: 20.7–30.9) premature deaths annually attributable to PM2.5 emitted from neighboring coal-fired plants. This study presents a precise and effective integrated approach for assessing air pollution and the health impacts of coal-fired and combined heat and power plants.

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“…The on-demand high-capacity ride-sharing is an instant of such kind of service, which is proved to be effective for intensive urban transport [21,22]. Varied forms and shapes of DRT emerge in many cases recently such as [23], [24], and [25]. These cases mainly focus on vehicle routings, while some cope with the demandvehicle matching problem [26,27].…”

Section: A Demand-responsive Transit Operationmentioning

confidence: 99%

“…The pricing and service area could influence the users' choices towards multi-modes [37]. Integrating bike-sharing with DRT operation can also increase the attractiveness and divert demand from other transportation modes [24]. However, the incentive approach is useful for mode splitting at the macroscopic level and at the microscopic level to induce passengers and redistribute their trips and paths.…”

Section: B User Incentive Approachmentioning

confidence: 99%

Integrating Passenger Incentives to Optimize Routing for Demand-Responsive Customized Bus Systems

Wang

Zeng

et al. 2021

IEEE Access

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The customized bus (CB) is an alternative public transportation mode that extends the flexibility and coverage of the fixed-route transit networks. It allows passengers to make reservations for trips and arranges vehicles to serve shared rides. However, the operation performance is limited to vehicle routing, the number of stops, and the length of detour times. Extra detours and stops would not be significantly avoided if deploying high-capacity vehicles. The demand control aspect is a possible way out. Releasing incentives to passengers can attract them to aggregated locations and reduce the vehicle detour times. How to determine an appropriate incentive scheme for passengers is the critical problem. This paper presents an approach to integrating the disaggregated trip choice model with the vehicle routing model to determine incentive schemes. First, the discrete choice model is established to bridge the passengers' trip choice probabilities with the influence of monetary incentives, walking time, and travel time. A vehicle routing model based on the pickups and deliveries problem is then adopted to generate the routes and schedules of vehicles to serve the influenced passengers. The result shows that the proposed approach can reduce the total running kilometers, shorten the onboard time, and increase the profits. The analysis also suggests that passengers' sensitivity towards incentives is decisive to the result.

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The combination of e-bike-sharing and demand-responsive transport systems in rural areas: A case study of Velenje

Cited by 38 publications

References 63 publications

External Environmental Analysis for Sustainable Bike-Sharing System Development

External Environmental Analysis for Sustainable Bike-Sharing System Development

County-Wide Mortality Assessments Attributable to PM2.5 Emissions from Coal Consumption in Taiwan

Integrating Passenger Incentives to Optimize Routing for Demand-Responsive Customized Bus Systems

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