research-article

Smart Geo-Spatial Analytical Tool for Urban Development and Management

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Chundeli Faiz AhmedAuthors Info & Claims

ICEGOV '17: Proceedings of the Special Collection on eGovernment Innovations in India

Pages 76 - 81

https://doi.org/10.1145/3055219.3055238

Published: 07 March 2017 Publication History

Abstract

Urbanization and especially suburbanization are increasing challenges to urban planner around the world. These processes occur at faster pace than regulatory bodies can manage and the use of smart geo-spatial tools and techniques has become a must if we want to have any chance for a rational planning process. In this paper, a part of a broader question "can a 3D geo-spatial tool support urban planners in obtaining a greater understanding of a given urban problem and manage urban development efficiently?" is explored. A 3D information rich model (3D-IRM) of case area (Kannadasan Nagar, Chennai) is generated using ArcGIS and ArcScene with the information such as, land-use, road width, permissible floor space index (FSI), height of the building, setbacks, building use etc. 3D-IRM is then classified based on local zoning regulation to check for the development code compliance three-dimensionally. Upon strict adherence with local codes of development and zoning regulation, the buildings of the case area can be classified under three types, ordinary buildings (OB-77%), special buildings (SB-20%) and multi-storied buildings (MSB-3%), whereas the primary survey carried out shows the actual development as OB-75%, SB-4% and MSB-21%. More than 20,000m2 of built-up area is added under MSB typology which has gone unnoticed by the development authority. With growing technological advancement, urban planners and decision makers must be equipped with smart proactive decision support tool so as to enable desired development. Results suggest that smart advanced geo-spatial tool such as 3D GIS can help urban planner in enhancing the decision making processes and the implementation of zoning regulations.

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Cited By

Chundeli FRamamurthy A(2023)Approaches for District‐Scale Urban Energy Quantification and Rooftop Solar Photovoltaic Energy Potential AssessmentUrban Energy Systems10.1002/9781119847595.ch4(47-64)Online publication date: 30-Aug-2023
https://doi.org/10.1002/9781119847595.ch4
Lata KAhmed Chundeli FRamamurthy A(2022)Smart Master Plan and 3D GIS Planning Support system—A Case of Chennai City, Tamil Nadu, IndiaSmart Master Planning for Cities10.1007/978-981-19-2564-1_3(111-143)Online publication date: 4-Jun-2022
https://doi.org/10.1007/978-981-19-2564-1_3
Lata KSaha SRamamurthy AChundeli F(2021)Smart Global Megacity: Chennai Sustainable Development FrameworkSmart Global Megacities10.1007/978-981-16-2023-2_4(193-246)Online publication date: 14-Jun-2021
https://doi.org/10.1007/978-981-16-2023-2_4

Smart Geo-Spatial Analytical Tool for Urban Development and Management
1. Information systems
  1. Information systems applications

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ICEGOV '17: Proceedings of the Special Collection on eGovernment Innovations in India

March 2017

160 pages

ISBN:9781450349307

DOI:10.1145/3055219

Copyright © 2017 ACM.

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Published: 07 March 2017

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ICEGOV '17

ICEGOV '17: 10th International Conference on Theory and Practice of Electronic Governance

March 7 - 9, 2017

New Delhi AA, India

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Cited By

Chundeli FRamamurthy A(2023)Approaches for District‐Scale Urban Energy Quantification and Rooftop Solar Photovoltaic Energy Potential AssessmentUrban Energy Systems10.1002/9781119847595.ch4(47-64)Online publication date: 30-Aug-2023
https://doi.org/10.1002/9781119847595.ch4
Lata KAhmed Chundeli FRamamurthy A(2022)Smart Master Plan and 3D GIS Planning Support system—A Case of Chennai City, Tamil Nadu, IndiaSmart Master Planning for Cities10.1007/978-981-19-2564-1_3(111-143)Online publication date: 4-Jun-2022
https://doi.org/10.1007/978-981-19-2564-1_3
Lata KSaha SRamamurthy AChundeli F(2021)Smart Global Megacity: Chennai Sustainable Development FrameworkSmart Global Megacities10.1007/978-981-16-2023-2_4(193-246)Online publication date: 14-Jun-2021
https://doi.org/10.1007/978-981-16-2023-2_4

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