Identification of trip generators using remote sensing and geographic information system-Reference-Cited by-同舟云学术

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Identification of trip generators using remote sensing and geographic information system

Published:2019-12 Issue: Volume:3 Page:100069
ISSN:2590-1982
Container-title:Transportation Research Interdisciplinary Perspectives
language:en
Short-container-title:Transportation Research Interdisciplinary Perspectives

Author:

Soares Machado Cláudia A.,Quintanilha José Alberto

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference56 articles.

1. Up-scaling approach for a multi-series object based classification using CORINE typology;Achbun;Eur. J. Sci. Res.,2015

2. Integrated use of GIS and remote sensing for monitoring landslides in transportation pavements: the case study of Paphos area in Cyprus;Alexakis;Nat. Hazards,2014

3. Spatial–temporal analysis of urban growth and transportation in Jeddah City, Saudi Arabia;Aljoufie;Cities,2013

4. Kernel density estimation and K-means clustering to profile road accident hotspots;Anderson;Accid. Anal. Prev.,2009

5. Land use classification from combined use of remote sensing and social sensing data;Anugraha;International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2018

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Trip Generation Based on Land Use Characteristics: A Review of the Techniques Used in Recent Years;Transportation Research;2023-12-19

2. Modeling Trip-generation and Distribution using Census, Partially Correct Household Data, and GIS;Civil Engineering Journal;2022-09-01

3. A comprehensive review of trip generation models based on land use characteristics;Transportation Research Part D: Transport and Environment;2022-08

4. An integrated solution to identify pedestrian-vehicle accident prone locations: GIS-based multicriteria decision approach;Journal of Transportation Safety & Security;2022-03-12

5. Remote sensing for identification of trip generating territories in support of urban mobility planning and monitoring;GeoJournal;2022-02-11

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