Generative design for walkable cities: A case study of Sofia

D. Kumalasari; M. N. Koeva; F. Vahdatikhaki; D. Petrova-Antonova; M. Kuffer

doi:10.5194/isprs-archives-XLVIII-4-W5-2022-75-2022

Generative design for walkable cities: A case study of Sofia

D. Kumalasari^*, M. N. Koeva, F. Vahdatikhaki, D. Petrova-Antonova, M. Kuffer

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

96 Downloads (Pure)

Abstract

The walkable city concept is an extent to which the built environment motivates people to walk by providing comforting pedestrian ways, linking people to various amenities in a fair amount of time and effort. Currently, the implementation of walkability is limited to something "nice to know about"rather than a "must-have"criterion for sustainable planning. To address this issue, an integration between walkability and mainstream design approach, such as generative design, can be a solution. In addition, walkability in the generative design domain only considers one primary indicator: "distance to amenities". While in fact, other dimensions could represent walkability, namely the comfort dimension. In this study, we tried to combine distance to amenities and urban greeneries to represent the comfort dimension. Since walkability is highly personal, we also incorporated the human perspective. Furthermore, develop a workflow to integrate walkability and parametric modelling based on comfort dimensions to create walkability-optimal-urban-plans.

Original language	English
Title of host publication	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Subtitle of host publication	7th International Conference on Smart Data and Smart Cities
Editors	C.C. Wang, S. Shirowzhan
Publisher	Copernicus
Pages	75-82
Number of pages	8
Volume	48
Edition	4/W5-2022
DOIs	https://doi.org/10.5194/isprs-archives-XLVIII-4-W5-2022-75-2022
Publication status	Published - 14 Oct 2022
Event	7th International Conference on Smart Data and Smart Cities, SDSC 2022 - Sydney, Australia Duration: 19 Oct 2022 → 21 Oct 2022 Conference number: 7

Publication series

Name	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Publisher	Copernicus
ISSN (Print)	1682-1750

Conference

Conference	7th International Conference on Smart Data and Smart Cities, SDSC 2022
Abbreviated title	SDSC 2022
Country/Territory	Australia
City	Sydney
Period	19/10/22 → 21/10/22

Keywords

Comfort Dimension
Generative Design
Parametric Modelling
Urban Planning
Walkability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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Kumalasari-2022-Generative-design-for-walkable-citiFinal published version, 1.11 MBLicence: CC BY

Cite this

Kumalasari, D., Koeva, M. N., Vahdatikhaki, F., Petrova-Antonova, D., & Kuffer, M. (2022). Generative design for walkable cities: A case study of Sofia. In C. C. Wang, & S. Shirowzhan (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 7th International Conference on Smart Data and Smart Cities (4/W5-2022 ed., Vol. 48, pp. 75-82). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus. https://doi.org/10.5194/isprs-archives-XLVIII-4-W5-2022-75-2022

Kumalasari, D. ; Koeva, M. N. ; Vahdatikhaki, F. et al. / Generative design for walkable cities : A case study of Sofia. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 7th International Conference on Smart Data and Smart Cities. editor / C.C. Wang ; S. Shirowzhan. Vol. 48 4/W5-2022. ed. Copernicus, 2022. pp. 75-82 (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives).

@inproceedings{6734b92bad974fbb9afaa317b330533e,

title = "Generative design for walkable cities: A case study of Sofia",

abstract = "The walkable city concept is an extent to which the built environment motivates people to walk by providing comforting pedestrian ways, linking people to various amenities in a fair amount of time and effort. Currently, the implementation of walkability is limited to something {"}nice to know about{"}rather than a {"}must-have{"}criterion for sustainable planning. To address this issue, an integration between walkability and mainstream design approach, such as generative design, can be a solution. In addition, walkability in the generative design domain only considers one primary indicator: {"}distance to amenities{"}. While in fact, other dimensions could represent walkability, namely the comfort dimension. In this study, we tried to combine distance to amenities and urban greeneries to represent the comfort dimension. Since walkability is highly personal, we also incorporated the human perspective. Furthermore, develop a workflow to integrate walkability and parametric modelling based on comfort dimensions to create walkability-optimal-urban-plans. ",

keywords = "Comfort Dimension, Generative Design, Parametric Modelling, Urban Planning, Walkability",

author = "D. Kumalasari and Koeva, {M. N.} and F. Vahdatikhaki and D. Petrova-Antonova and M. Kuffer",

note = "Funding Information: This research work has been supported by GATE project, funded by the Horizon 2020 WIDESPREAD-2018-2020 TEAMING Phase 2 programme under grant agreement no. 857155, by Operational Programme Science and Education for Smart Growth under Grant Agreement No. BG05M2OP001-1.003-0002-C01. Publisher Copyright: {\textcopyright} 2022 International Society for Photogrammetry and Remote Sensing. All rights reserved.; 7th International Conference on Smart Data and Smart Cities, SDSC 2022, SDSC 2022 ; Conference date: 19-10-2022 Through 21-10-2022",

year = "2022",

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doi = "10.5194/isprs-archives-XLVIII-4-W5-2022-75-2022",

language = "English",

volume = "48",

series = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives",

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Kumalasari, D, Koeva, MN , Vahdatikhaki, F, Petrova-Antonova, D & Kuffer, M 2022, Generative design for walkable cities: A case study of Sofia. in CC Wang & S Shirowzhan (eds), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 7th International Conference on Smart Data and Smart Cities. 4/W5-2022 edn, vol. 48, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Copernicus, pp. 75-82, 7th International Conference on Smart Data and Smart Cities, SDSC 2022, Sydney, Australia, 19/10/22. https://doi.org/10.5194/isprs-archives-XLVIII-4-W5-2022-75-2022

Generative design for walkable cities: A case study of Sofia. / Kumalasari, D.; Koeva, M. N.; Vahdatikhaki, F. et al.
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 7th International Conference on Smart Data and Smart Cities. ed. / C.C. Wang; S. Shirowzhan. Vol. 48 4/W5-2022. ed. Copernicus, 2022. p. 75-82 (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Generative design for walkable cities

T2 - 7th International Conference on Smart Data and Smart Cities, SDSC 2022

AU - Kumalasari, D.

AU - Koeva, M. N.

AU - Vahdatikhaki, F.

AU - Petrova-Antonova, D.

AU - Kuffer, M.

N1 - Conference code: 7

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N2 - The walkable city concept is an extent to which the built environment motivates people to walk by providing comforting pedestrian ways, linking people to various amenities in a fair amount of time and effort. Currently, the implementation of walkability is limited to something "nice to know about"rather than a "must-have"criterion for sustainable planning. To address this issue, an integration between walkability and mainstream design approach, such as generative design, can be a solution. In addition, walkability in the generative design domain only considers one primary indicator: "distance to amenities". While in fact, other dimensions could represent walkability, namely the comfort dimension. In this study, we tried to combine distance to amenities and urban greeneries to represent the comfort dimension. Since walkability is highly personal, we also incorporated the human perspective. Furthermore, develop a workflow to integrate walkability and parametric modelling based on comfort dimensions to create walkability-optimal-urban-plans.

AB - The walkable city concept is an extent to which the built environment motivates people to walk by providing comforting pedestrian ways, linking people to various amenities in a fair amount of time and effort. Currently, the implementation of walkability is limited to something "nice to know about"rather than a "must-have"criterion for sustainable planning. To address this issue, an integration between walkability and mainstream design approach, such as generative design, can be a solution. In addition, walkability in the generative design domain only considers one primary indicator: "distance to amenities". While in fact, other dimensions could represent walkability, namely the comfort dimension. In this study, we tried to combine distance to amenities and urban greeneries to represent the comfort dimension. Since walkability is highly personal, we also incorporated the human perspective. Furthermore, develop a workflow to integrate walkability and parametric modelling based on comfort dimensions to create walkability-optimal-urban-plans.

KW - Comfort Dimension

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KW - Parametric Modelling

KW - Urban Planning

KW - Walkability

U2 - 10.5194/isprs-archives-XLVIII-4-W5-2022-75-2022

DO - 10.5194/isprs-archives-XLVIII-4-W5-2022-75-2022

M3 - Conference contribution

AN - SCOPUS:85140654768

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T3 - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

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PB - Copernicus

Y2 - 19 October 2022 through 21 October 2022

ER -

Kumalasari D, Koeva MN , Vahdatikhaki F, Petrova-Antonova D, Kuffer M. Generative design for walkable cities: A case study of Sofia. In Wang CC, Shirowzhan S, editors, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 7th International Conference on Smart Data and Smart Cities. 4/W5-2022 ed. Vol. 48. Copernicus. 2022. p. 75-82. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). doi: 10.5194/isprs-archives-XLVIII-4-W5-2022-75-2022

Generative design for walkable cities: A case study of Sofia

Abstract

Publication series

Conference

Keywords

UN SDGs

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