测量访问不平等:尼泊尔物理偏远的建模

Robert Banick, Yasuhiro Kawasoe
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引用次数: 6

摘要

在尼泊尔,崎岖的地形、不发达的交通基础设施和多样的植被严重影响了有利的旅行路线,因此出发地和目的地之间的简单线性距离很难描述旅行。在这种情况下,预期旅行时间比地理距离更能解释起始地点的远近。应用于服务设施,这些基于时间的偏远程度度量相当于服务的物理可达性度量。然而,传统的基于调查的时间度量存在报告不准确和标准调查误差的问题。相反,本研究建立了一个基于地理信息系统的旅行成本时间模型,使可达性评估更加准确和通用。在验证了通用模型并将其与其他流行的度量标准进行比较之后,本研究通过向模型中输入各种服务来证明其价值。本文在国家、省、市和地理尺度上对这些服务的可及性趋势进行了描述性分析,并提出了这样一个通用模型所开启的研究可能性。论文最后提出了一些想法,即数据和分析都是免费提供的公共产品,如何能够促进更多的研究和更好的政策制定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Inequality of Access: Modeling Physical Remoteness in Nepal
Simple linear distances between origin and destination poorly describe travel in Nepal, where rugged terrain, underdeveloped transportation infrastructure, and diverse vegetation heavily influence favorable travel routes. In this context, expected travel times explain more about the remoteness of starting locations than geographic distance. Applied to service facilities, these time‐based measures of remoteness amount to measures of physical accessibility to services. However, traditional survey‐based measures of time suffer from problems of inaccurate reporting and standard survey error. Instead, this study built a geographic information system–based cost time model of travel that enables more accurate and generalizable assessment of accessibility. Having validated the generic model and compared it with other popular metrics, the study demonstrates its value by inputting a variety of services into it. This paper provides descriptive analyses of accessibility trends to these services at national, provincial, municipal, and geographic scales and suggests research possibilities unlocked by such a general purpose model. The paper concludes with thoughts for how the data and analysis, both freely available public goods, can enable additional research and better policy making.
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