Neural geo-spatial model: a strategic planning tool for urban transportation

被引：0

作者：

Dantas, A ^{[1
]}

Yamamoto, K ^{[1
]}

Lamar, MV ^{[1
]}

Yamashita, Y ^{[1
]}

机构：

[1] Nagoya Inst Technol, Dept Civil Engn, Nagoya, Aichi, Japan

来源：

URBAN TRANSPORT VI: URBAN TRANSPORT AND THE ENVIRONMENT FOR THE 21ST CENTURY | 2000年 / 6卷

关键词：

D O I：

暂无

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

A strategic planning model for urban transportation analysis is presented. This model is based on the incorporation and representation of the land use-transportation system interaction under a spatial-temporal approach to forecast travel demand within urban areas. This conception becomes possible due to the integration of Neural Networks (NN), Geographical Information Systems (GIS) and Remote Sensing (RS). A case study in Boston Metropolitan Area was conducted to verify the efficiency of the model and evaluate the best NN structure and also changes in the hidden and output layers were simulated. A recognition rate of 94% was reached expressing the successful definition of the NN. It does mean that the integration of techniques used in this model is appropriated.

引用

页码：257 / 265

页数：9

共 50 条

[31] Transportation policy as spatial planning tool; reducing urban sprawl by increasing travel costs and clustering infrastructure and public transportation
De Vos, Jonas
Witlox, Frank
JOURNAL OF TRANSPORT GEOGRAPHY, 2013, 33 : 117 - 125
[32] A General Geo-spatial Multi-scale Conceptual Model for Automatic Generalization
Yang, Yaoming
Tang, Xiaoan
Gan, Zhe
Jiang, Haiyan
2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY, VOL II, PROCEEDINGS, 2009, : 433 - +
[33] Hybrid ResNet152-EML model for Geo-spatial image classification
Ghotekar R.K.
Rout M.
Shaw K.
International Journal of Information Technology, 2024, 16 (2) : 659 - 673
[34] Running architecture of Grid GIS based on the Quadruple Geo-spatial Grids model
Wang, Jinxin
Su, Guozhong
REMOTE SENSING AND GIS DATA PROCESSING AND APPLICATIONS; AND INNOVATIVE MULTISPECTRAL TECHNOLOGY AND APPLICATIONS, PTS 1 AND 2, 2007, 6790
[35] Study of the information standard architecture and reference model of geo-spatial information engineering
Jing, DS
Bi, SW
Zhang, LY
Hu, XT
IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 4432 - 4435
[36] Applying geo-spatial analysis in community needs assessment: Implications for planning and prioritizing based on data
Baig, Kamran
Shaw-Ridley, Mary
Munoz, Oscar J.
EVALUATION AND PROGRAM PLANNING, 2016, 58 : 42 - 48
[37] Tool for computer-assisted geo-spatial registration and truthing of images of differing dimensionality and resolution
Williams, B
Amphay, S
Stansbery, S
Hulsey, D
AUTOMATED GEO-SPATIAL IMAGE AND DATA EXPLOITATION, 2000, 4054 : 75 - 82
[38] Progressing Green Infrastructure planning: understanding its scalar, temporal, geo-spatial and disciplinary evolution
Mell, Ian
Clement, Sarah
IMPACT ASSESSMENT AND PROJECT APPRAISAL, 2020, 38 (06) : 449 - 463
[39] A Geo-Spatial Analysis for Characterising Urban Sprawl Patterns in the Batticaloa Municipal Council, Sri Lanka
Seevarethnam, Mathanraj
Rusli, Noradila
Ling, Gabriel Hoh Teck
Said, Ismail
LAND, 2021, 10 (06)
[40] Strategic Model Canvas: A Proposed Tool for Optimizing Strategic Planning
de Abreu Mancini de Azevedo, Pedro Henrique Dutra
Reis Filho, Pompilio Guimaraes
Freitas, Frederico Cordeiro
Silva, Simone Vasconcelos
REVISTA DE GESTAO E PROJETOS, 2018, 9 (03): : 17 - 32

← 1 2 3 4 5 →