Modelling Reachability in Transport Networks: Using Alternative Visual Representations in Interactive Linked‐Views to Gain Valuable Insights

Author:

Ullah Rehmat1ORCID,Hasan Laiq1,Ullah Farman2,Khan Ajmal2,Cho You-Ze3ORCID

Affiliation:

1. Department of Computer Systems Engineering, University of Engineering and Technology Peshawar, Peshawar, Pakistan

2. Department of Electrical and Computer Engineering, COMSATS University Islamabad, Attock Campus, Attock, Pakistan

3. School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Republic of Korea

Abstract

Most people use maps for navigation. Geographic maps visually represent physical distance between locations. These maps sometimes provide a false impression of travel times. Two cities geographically close to each other might be “far apart” in terms of travel time because of slower connections, whereas two cities geographically distant might be “nearby” in terms of travel time because of faster connections. Under such circumstances, visualizing a transport network using time as a distance measure can make the transport network more understandable. This study integrates several (carto)graphic representations—a time line, a distance line, a time prism, a time cartogram, and a geographic map—in an interactive linked-views environment to model reachability in transport networks. A prototype is implemented in a web environment using D3.js. The implementation can be applied to any transport network. In this research, the approach is illustrated with railroad network data for the Dutch province of Overijssel. The solution provides an alternative and insightful perspective for analyzing the data. In addition to complementing a wide variety of methods to visualizing travel times, the approach could be applied in areas such as spatial analysis and transport planning.

Funder

Ministry of Education

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Reference42 articles.

1. Visual Analytics of Movement

2. GeoVA(t) – Geospatial visual analytics: focus on time

3. A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP)

4. LiX.The time wave in time space: a visual exploration environment for spatio-temporal data2010Enschede, NetherlandsUniversity of TwnetePh. D thesis

5. The Time Wave. A New Method of Visual Exploration of Geo-data in Time–space

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3