Towards Dynamic Isochrone Mapping Accounting for Uncertainty

Q3 Social Sciences GI_Forum Pub Date : 2021-01-01 DOI:10.1553/giscience2021_02_s193
David Li, Matthias Budde, Julian Bruns
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引用次数: 0

Abstract

Isochrone Mapping has been used since the late 19th century as a planning and visualization tool in various domains, such as transport planning and hydrology. In the past, isochrone calculation was based mainly on static properties and therefore also yielded static maps. This resulted in a potentially significant — and at the same time unquantifiable — degree of uncertainty. Today however, advances both in information technology and in the availability of input data allow much more nuanced views on the subject. This paper gives an overview of work on dynamic factors that contribute to uncertainty in isochrone calculation and mapping. Various application scenarios and their constraints are discussed, and open research challenges and possibilities identified. Finally, we present preliminary results from a practical approach to quantifying uncertainties in isochrone calculation for motorized individual transport based on Monte Carlo simulations and data from open routing APIs.
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考虑不确定性的动态等时线映射
自19世纪后期以来,等时线制图已被用作各种领域的规划和可视化工具,如交通规划和水文学。在过去,等时线计算主要基于静态属性,因此也产生静态图。这导致了潜在的重大不确定性,同时也无法量化。然而,今天,信息技术的进步和输入数据的可用性使得对这个问题的看法更加细致入微。本文概述了在等时线计算和制图中造成不确定性的动态因素的研究工作。讨论了各种应用场景及其限制,并确定了开放研究的挑战和可能性。最后,我们提出了基于蒙特卡罗模拟和开放路由api数据的机动个人运输等时线计算中量化不确定性的实用方法的初步结果。
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
GI_Forum
GI_Forum Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
1.10
自引率
0.00%
发文量
9
审稿时长
23 weeks
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