Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Modeling for the Compactness of Urban Spatial Form

Authors
Rui Wang
Corresponding Author
Rui Wang
Available Online May 2017.
DOI
10.2991/msmee-17.2017.176How to use a DOI?
Keywords
Compact design, land utilization, urban spatial form.
Abstract

With the continuous development of social modernization, the requirements for urban land resources become increasingly urgent. Considering that there is no specific measurement of the compactness of urban spatial form, this paper set up a new model, which graphically defines the concept of population layers to simulate the average height of the city. In this way, when the urban population grows, the city will ease the pressure on land resources by increasing the height rather than outward expansion. This is an idealized model, but it can be used to evaluate the urban compactness efficiently to a certain extent.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
10.2991/msmee-17.2017.176
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.176How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Rui Wang
PY  - 2017/05
DA  - 2017/05
TI  - Modeling for the Compactness of Urban Spatial Form
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 914
EP  - 916
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.176
DO  - 10.2991/msmee-17.2017.176
ID  - Wang2017/05
ER  -