The Bike-Sharing Rebalancing Problem Considering Multi-Energy Mixed Fleets and Traffic Restrictions

Jia, Yunyi; Wang, Zeng; Xing, Yanting; Yang, Dong; Li, Jia

doi:10.3390/su13010270

Cited by 12 publications

(7 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are also three environmental factors clustered in this group: using renewable energy sources for charging public bike stations (E3), smartphone chargers in public bikes (E4), and low emission of harmful substances (E5). A similar analysis of renewable energy usage in BSSs was presented by Usama et al [99], Jia et al [100], Matias et al [101], carbon dioxide emissions by Chen et al [102], and Kou et al [103]. There are also two technological factors in this group: the extension and modernization of bicycle city routes (T2) and improvement of their markings (T5), which are naturally connected, and change as the network of bikesharing connections between the cities of the conurbation in the southern part of Poland grow.…”

Section: Discussionmentioning

confidence: 52%

External Environmental Analysis for Sustainable Bike-Sharing System Development

Macioszek

Cieśla

2022

Energies

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 52%

External Environmental Analysis for Sustainable Bike-Sharing System Development

Macioszek

Cieśla

2022

Energies

View full text Add to dashboard Cite

show abstract

“…They further proposed a chance constraint programming model, optimizing a bike-sharing network by implementing various genetic algorithms. Jia et al (2021) considered a mixed fleet of electric vehicles and internal combustion vehicles as well as the traffic restrictions to the traditional vehicles in some metropolises. The mixed-integer-programming model was 1st established to minimize the total rebalancing cost of the mixed fleet.…”

Section: Literature Reviewmentioning

confidence: 99%

Proposing a Mathematical Model of Balancing the Inventory of Multi-Zone Bicycle Sharing Systems With Mobile Stations and Applying Maintenance Constraints

et al. 2022

View full text Add to dashboard Cite

Regarding the necessity of developing transportation infrastructures and its increasing importance in urban issues, nowadays in different cities, bicycles are considered the main and sustainable vehicle along with walking and drawing more attention day by day. The case considers highly paramount since preservation of the environment, natural resources, and energy is one of the significant pillars of sustainable development, and urban transportation intensively influences it. Thus, Bicycle Sharing System (BSS) is recognized as an innovative urban transportation option that meets the citizens’ demand for commuting during the day. The BSS can highly affect the level of citizens’ health, and it can be counted as one of the leading health programs whether it’s added to the public transportation system, it can help the culture to be created to use bicycles instead of cars in most of the internal trips, and also it can be so influential in decreasing the air pollution and in the following its harmful effects on health issues. The mathematical model of rebalancing multi-zone BSS with mobile stations and applying maintenance constraints in a static status is considered in this research. The objective function of this research is a single-objective one, which is modeled with the aims of reducing the costs of traveled distances by the tracks within and outside the zones, reducing the costs of intact and defective bicycles transportation within and outside the zones, and eventually, reducing the costs of surplus bicycles depot at the stations. This issue is a multi-product one that includes different types of bicycles and balancing tracks. Computational results confirm the model’s efficiency. Also, sensitivity analysis has been done to prove that the model is affected by both parameters of storage costs of surplus bicycles and transportation costs within and outside the zones.

show abstract

“…Yongji Jia et al established the mixed integer programming model with the objective of minimizing the total rebalancing cost of the mixed fleet, which is a fleet of electric vehicles and internal combustion vehicles along with traffic restrictions to traditional vehicles [25]. Then, a simulated annealing algorithm enhanced with variable neighborhood structures is designed and applied to a set of randomly generated test instances.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The first is to undertake a life cycle assessment considering carbon emissions generated and reduced over the entire life cycle of public bikes [1,[22][23][24]. The second is to estimate the capability of reducing carbon emissions by reducing demand as travel is shifted to bikeshare [25][26][27][28]. The first approach or method considers carbon emissions more comprehensively, and the second analyzes the carbon emission reductions of bikeshare usage more deeply.…”

Section: Introductionmentioning

confidence: 99%

The Potential of Carbon Emissions Reductions of Public Bikes

Lu¹,

Xu²,

Chen³

et al. 2022

Sustainability

View full text Add to dashboard Cite

The reduction of carbon emissions has become a heated background topic in the context of climate change. This paper estimates the potential for carbon reduction from the use of public bikes, on the basis of a travel mode choice model and a carbon emission calculation model. A probability model for the travel mode choice is built to predict travel demands of different modes, and is based on the Logit-based stochastic user equilibrium model. According to this, the generalized travel cost of choosing to walk increases with distance, but the cost of choosing a taxi decreases with distance. When the trip distance is 1.4 km, the walk cost equals to that of the taxi, while if the trip distance is smaller than 1.4 km, the probability of the walk is larger than of a taxi, and vice versa. The case of Ningbo is analyzed. Based on the monthly travel data, the travel characteristics of the public bikes are first analyzed; these indicate that the medium travel distance is 1.44 km, and that the number of trips less than 1.6 km accounts for 70% of all trips. This reveals that the public bike trips are mainly short-distance and in workday rush hour. The related carbon emission reductions of Ningbo on average are 1.97 kg/person and 1.98 kg/km2, and the reductions are positively linearly related to the average hourly total turnover rate, which means the turnover rate is a great parameter to reflect the capability of carbon emission reductions.

show abstract

The Bike-Sharing Rebalancing Problem Considering Multi-Energy Mixed Fleets and Traffic Restrictions

Cited by 12 publications

References 33 publications

External Environmental Analysis for Sustainable Bike-Sharing System Development

External Environmental Analysis for Sustainable Bike-Sharing System Development

Proposing a Mathematical Model of Balancing the Inventory of Multi-Zone Bicycle Sharing Systems With Mobile Stations and Applying Maintenance Constraints

The Potential of Carbon Emissions Reductions of Public Bikes

Contact Info

Product

Resources

About