面向暴露优化主动出行的绿色路径路径规划软件

Q1 Social Sciences
Joose Helle, Age Poom, Elias Willberg, Tuuli Toivonen
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引用次数: 0

摘要

Green Paths是一个路线规划软件的原型,用于为主动旅行寻找暴露优化路线。它将环境暴露的外部数据(包括交通噪音水平、空气质量和街道绿化)整合到OpenStreetMap项目生成的街道和路径网络中。该软件用Python编程语言编写,在成本最低的路径路由中应用了一种新的环境阻抗函数,以找到暴露优化的路径。外部定义的始发目的地对的路由可以通过RESTful API查询。该API返回带有丰富暴露数据的替代路由。已出版的软件版本已应用于人口水平的环境暴露评估,并应用于设计用于赫尔辛基都市地区的面向最终用户的网络路线规划应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Green Paths Route Planning Software for Exposure-Optimised Active Travel
Green Paths is a prototype of route planning software for finding exposure-optimised routes for active travel. It incorporates external data on environmental exposures, including traffic noise levels, air quality, and street-level greenery into the street and paths network produced by the OpenStreetMap project. Written in the Python programming language, the software applies a novel environmental impedance function in the least cost path routing to find exposure-optimised routes. Routes for externally defined origin-destination pairs can be queried via a RESTful API. The API returns alternative routes equipped with rich exposure data. The published version of the software has been applied in population level environmental exposure assessment and in an end-user-oriented web-based route planner application designed for use in the Helsinki Metropolitan Area.
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来源期刊
Journal of Open Research Software
Journal of Open Research Software Social Sciences-Library and Information Sciences
CiteScore
6.50
自引率
0.00%
发文量
7
审稿时长
21 weeks
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