Factors affecting bike-sharing behaviour in Beijing: price, traffic congestion, and supply chain

Li, Lei; Liu, Yue; Song, Yanwu

doi:10.1007/s10479-019-03293-0

Cited by 11 publications

(13 citation statements)

References 16 publications

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“…In another study, Zeynali et al (2020) found that the presence of plug-in electric vehicles substantially contributes to sustainable transport. The prediction of the bike-distributing behaviour can facilitate building a modern sustainable SC model to attain the SDGs (Li et al, 2019).…”

Section: Sdgs In Transportation and Distribution Networkmentioning

confidence: 99%

Attaining sustainable development goals (SDGs) through supply chain practices and business strategies: A systematic review with bibliometric and network analyses

Agrawal

Majumdar

et al. 2022

Bus Strat Env

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Sustainable development goals (SDGs), adopted by the United Nations in 2015, are gaining importance in all the industrial sectors. The attainment of SDGs will lead to simultaneous betterment of human lives, environment and economic prosperity. Therefore, the adoption and implementation of SDGs in the supply chain (SC) activities is the need of the hour. In this regard, there is a need to analyse the extant SC literature focussing on SDGs. This study reviews the articles on SDGs in SC published in last 6 years (2015–2021). A total of 144 articles are shortlisted for the analysis. Bibliometric and network analyses are performed to create an intellectual map of the field and to visualise the network among authors and keywords, respectively. Various emerging research themes are identified using bibliometric coupling analysis. The content analysis of the articles has been performed by considering different activities and stages of SC. Articles are also mapped on various dimensions of SDGs. The strategies associated with adopting sustainable practices in SC to achieve SDGs have also been elucidated. Finally, future research propositions have been presented which can help in achieving SDGs in the SC.

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Section: Sdgs In Transportation and Distribution Networkmentioning

confidence: 99%

Attaining sustainable development goals (SDGs) through supply chain practices and business strategies: A systematic review with bibliometric and network analyses

Agrawal

Majumdar

et al. 2022

Bus Strat Env

View full text Add to dashboard Cite

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“…The sharing economy created by BDA is based on the above premise, where people do not own products but only utilize services according to their requirements. This leads to anti-consumerism and optimization of resources (Gan et al, 2018; Li et al, 2019). Dynamic tariffs based on real-time demand reduce the peaks in travel, thereby leading to optimal utilization of resources.…”

Section: Tangibilitymentioning

confidence: 99%

“…BDA could aid in the creation of media solutions to nudge the behaviour of consumers through increasing the number of awareness campaigns (Cambra et al, 2019). Li et al (2019) used BD to accurately evaluate bike sharing behaviour and determined the factors responsible for increasing bike sharing for better environmental sustainability. Behaviour mapping of users and daily-routine analysis can be deployed to develop flood-resilient spatial plans using BD (Goličnik Marušić & Praper Gulič, 2018).…”

Section: Keyword Analysismentioning

confidence: 99%

Big Data and Sustainable Consumption: A Review and Research Agenda

Chandra

Verma

2021

Vision: The Journal of Business Perspective

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Big data (BD) is making advances in promoting sustainable consumption behaviour and has attracted the attention of researchers worldwide. Despite the increased focus, the findings of studies on this topic are fragmented, and future researchers need a systematic understanding of the existing literature for identification of the research scope. This study offers a systematic review of the role of BD in promoting sustainable-consumption behaviour with the help of a bibliometric analysis, followed by a thematic analysis. The findings suggest that businesses deploy BD to create sustainable consumer experiences, predict consumer buying patterns, design and alter business models and create nudges for sustainable consumption, while consumers are forcing businesses to develop green operations and supply chains to reduce the latter’s carbon footprint. The major research gaps for future researchers are in the following areas: the impact of big data analytics (BDA) on consumerism, the role of BD in the formation of sustainable habits and consumer knowledge creation for sustainable consumption and prediction of green consumer behaviour.

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“…Salkuti & Kim (2019) managed congestion using a multi-objective glowworm swarm optimization algorithm. Li et al (2019) took into account factors affecting bike-sharing behavior in Beijing, involving price, traffic congestion, and supply chain. addressed a timedependent vehicle routing problem with time windows of city logistics with a congestion avoidance approach.…”

Section: Literature Reviewmentioning

confidence: 99%

Solving a new bi-objective multi-echelon supply chain problem with a Jackson open-network issue under uncertainty

2021

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In today's world, changes in the economic and industrial sectors are taking place more quickly than in the past. Based on today's competitive market, considering the needs and desires of the customer is very important. Thus, designing the supply chain network to minimize the costs and improve the system efficiency, the service facility, and attention to the timely service delivery to the customer should be considered. Also, deployment costs to determine the number and position of facilities are regarded as another strategic issue. Therefore, to become closer to the real-world application, by considering the Jackson network model (queuing theory), the present study aims to design a closedloop supply chain (CLSC) network to reduce the waiting time in the queue. Two objectives, namely minimizing the cost and waiting time incurred in queues formed in producers and distributors, are investigated. Queuing mathematical expressions are used both in dealing with objectives and constraints. To develop a model, which is close to real by considering uncertainty, the parameters, including demand rate and shipping cost of products, were considered as a trapezoidal fuzzy number. Also, we crisp this fuzzy uncertainty using both Jimenez and chance-constrained programming approaches. Due to the suggested model's complexity and nonlinearity, we linearized the mathematical model as much as possible, then two meta-heuristic algorithms, namely multiobjective particle swarm optimization (MOPSO) and non-dominated sorted genetic algorithm (NSGA-II), are used to solve the model. First, the structural parameters of these algorithms are tuned by the Taguchi method. Then, numerous numerical test problems ranging from small to large scales are used to compare these algorithms considering Pareto front measuring indexes and various hypothesis tests.

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Factors affecting bike-sharing behaviour in Beijing: price, traffic congestion, and supply chain

Cited by 11 publications

References 16 publications

Attaining sustainable development goals (SDGs) through supply chain practices and business strategies: A systematic review with bibliometric and network analyses

Attaining sustainable development goals (SDGs) through supply chain practices and business strategies: A systematic review with bibliometric and network analyses

Big Data and Sustainable Consumption: A Review and Research Agenda

Solving a new bi-objective multi-echelon supply chain problem with a Jackson open-network issue under uncertainty

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