A Community-Based Mobile Application to Reduce Waste from Un-used Bikes Using Social Media

IF 1.7 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2023-04-29 DOI:10.5121/csit.2023.130707
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Abstract

Around 15 million bikes are discarded annually, which poses an environmental risk [1]. The rubber from bike tires takes a long time to decompose, and toxic chemicals are released into the soil during this process [2]. Additionally, the popularity of e-bikes is increasing, and the lithium batteries they use harm the environment during extraction. To address this problem, a bike donation app is proposed, which reduces the number of bikes produced, minimizes waste, and benefits those in need [3]. By operating online, the cost of running the operation is minimal, and the project can reach and help anyone with internet access. However, the app's success relies on a user base, which may be a significant challenge. Furthermore, the app's design may need improvement to attract users. Blind spots in the program may include inaccurate bike donation recommendations and a lack of proper verification for donated bikes' safety and condition. An A/B test shows that personalized recommendations through the app increased the conversion rate for successful bike donations. The verification process for donated bikes was effective in ensuring the bikes' safety and quality. By developing a mobile app that provides personalized recommendations and addresses bike waste, the project contributes to sustainable transportation and reduces environmental harm [4].
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一个基于社区的移动应用程序,利用社交媒体减少未使用自行车的浪费
每年大约有1500万辆自行车被丢弃,这构成了环境风险[1]。自行车轮胎的橡胶需要很长时间才能分解,在这个过程中,有毒化学物质会释放到土壤中[2]。此外,电动自行车越来越受欢迎,它们使用的锂电池在提取过程中会损害环境。为了解决这一问题,我们提出了一款自行车捐赠app,它可以减少自行车的生产数量,最大限度地减少浪费,并使有需要的人受益[3]。通过在线运营,运营成本最低,该项目可以触及并帮助任何有互联网接入的人。然而,这款应用的成功依赖于用户基础,这可能是一个重大挑战。此外,应用程序的设计可能需要改进以吸引用户。该计划的盲点可能包括不准确的自行车捐赠建议,以及对捐赠自行车的安全性和状况缺乏适当的验证。A/B测试表明,通过该应用程序的个性化推荐提高了成功捐赠自行车的转化率。捐赠自行车的验证过程有效地确保了自行车的安全和质量。通过开发一款提供个性化建议并解决自行车浪费的移动应用程序,该项目为可持续交通和减少环境危害做出了贡献[4]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
22
审稿时长
4 weeks
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