实施智能行人网络系统的效益评估

IF 1.1 Q3 COMPUTER SCIENCE, THEORY & METHODS Open Computer Science Pub Date : 2021-01-01 DOI:10.1515/comp-2020-0127
George Papageorgiou, A. Ioannou, Athanasios Maimaris, Alexander N. Ness
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引用次数: 0

摘要

信息和通信技术(ICT)以及计算机科学的最新进展可以作为促进可持续交通方式的催化剂。通过信息通信技术的应用,可以促进主动出行,并将其确立为一种可行的交通方式。这可以通过提供有关信息来促进社会资本和促进身体活动,从而有助于提高生活质量来实现。此外,积极的流动性可以大大有助于减少空气污染和改善健康状况。为此,提出了智能行人网络(Smart Pedestrian Network, SPN)信息系统的实现方案。这种实施需要包括公众、地方当局和地方企业在内的各利益攸关方的合作。为了让利益相关者相信实施SPN的可行性,主动移动性的好处应该是明确的。本文提出了一个量化主动移动效益的框架,以便利益相关者可以评估实施SPN可以实现的投资。提出的框架利用了在不同市场条件下量化收益的方法。这些好处是显著的,非常有利于投资技术和实现设想的SPN系统。
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Evaluation of the Benefits of Implementing a Smart Pedestrian Network System
Abstract Information and Communication Technology (ICT), and recent advancements in Computer Science can serve as a catalyst for promoting sustainable means of transport. Through ICT applications, active mobility can be promoted and established as a viable transport mode. This can be achieved by providing relevant information for fostering social capital and promoting physical activity, thus contributing to a higher quality of life. Further, active mobility can greatly contribute to reducing air pollution and improving health status. For this purpose, the implementation of a Smart Pedestrian Network (SPN) information system is proposed. Such an implementation requires the collaboration of various stakeholders including the public, local authorities and local businesses. To convince stake-holders of the viability of implementing SPN, the benefits of active mobility should be clear. This paper proposes a framework to quantify active mobility benefits so that stake-holders can assess the investment that can be realized from implementing SPN. The proposed framework makes use of quantifying benefits in various market conditions. The benefits are shown to be significant and very much in favor of investing in technology and implementing the envisioned SPN system.
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来源期刊
Open Computer Science
Open Computer Science COMPUTER SCIENCE, THEORY & METHODS-
CiteScore
4.00
自引率
0.00%
发文量
24
审稿时长
25 weeks
期刊最新文献
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