Quantifying Life Quality as Walkability on Urban Networks: The Case of Budapest

Luis Guillermo Natera Orozco; David Deritei; Anna Vancso; Orsolya Vasarhelyi

doi:10.1007/978-3-030-36683-4_72

Quantifying Life Quality as Walkability on Urban Networks: The Case of Budapest

Luis Guillermo Natera Orozco^*
, David Deritei
, Anna Vancso
, Orsolya Vasarhelyi

^*Corresponding author for this work

Central European University
Corvinus University of Budapest

Research output: Contribution to Book/Report types › Conference contribution › peer-review

Abstract (may include machine translation)

Life quality in cities is deeply related to the mobility options, and how easily one can access different services and attractions. The pedestrian infrastructure network provides the backbone for social life in cities. While there are many approaches to quantify life quality, most do not take specifically into account the walkability of the city, and rather offer a city-wide measure. Here we develop a data-driven, network-based method to quantify the liveability of a city. We introduce a life quality index (LQI) based on pedestrian accessibility to amenities and services, safety and environmental variables. Our computational approach outlines novel ways to measure life quality in a more granular scale, that can become valuable for urban planners, city officials and stakeholders. We apply data-driven methods to Budapest, but as having an emphasis on the online and easily available quantitative data, the methods can be generalized and applied to any city.

Original language	English
Title of host publication	Complex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019
Editors	Hocine Cherifi, Sabrina Gaito, José Fernendo Mendes, Esteban Moro, Luis Mateus Rocha
Publisher	Springer
Pages	905-918
Number of pages	14
ISBN (Print)	9783030366827
DOIs	https://doi.org/10.1007/978-3-030-36683-4_72
State	Published - 2020
Externally published	Yes
Event	8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 - Lisbon, Portugal Duration: 10 Dec 2019 → 12 Dec 2019

Publication series

Name	Studies in Computational Intelligence
Volume	882 SCI
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019
Country/Territory	Portugal
City	Lisbon
Period	10/12/19 → 12/12/19

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

Life quality
Urban development
Urban networks
Walkability

Access to Document

10.1007/978-3-030-36683-4_72

Cite this

Natera Orozco, L. G., Deritei, D., Vancso, A., & Vasarhelyi, O. (2020). Quantifying Life Quality as Walkability on Urban Networks: The Case of Budapest. In H. Cherifi, S. Gaito, J. F. Mendes, E. Moro, & L. M. Rocha (Eds.), Complex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019 (pp. 905-918). (Studies in Computational Intelligence; Vol. 882 SCI). Springer. https://doi.org/10.1007/978-3-030-36683-4_72

Natera Orozco, Luis Guillermo ; Deritei, David ; Vancso, Anna et al. / Quantifying Life Quality as Walkability on Urban Networks : The Case of Budapest. Complex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019. editor / Hocine Cherifi ; Sabrina Gaito ; José Fernendo Mendes ; Esteban Moro ; Luis Mateus Rocha. Springer, 2020. pp. 905-918 (Studies in Computational Intelligence).

@inproceedings{49dd2317671545d4af6b538b32a7a27b,

title = "Quantifying Life Quality as Walkability on Urban Networks: The Case of Budapest",

abstract = "Life quality in cities is deeply related to the mobility options, and how easily one can access different services and attractions. The pedestrian infrastructure network provides the backbone for social life in cities. While there are many approaches to quantify life quality, most do not take specifically into account the walkability of the city, and rather offer a city-wide measure. Here we develop a data-driven, network-based method to quantify the liveability of a city. We introduce a life quality index (LQI) based on pedestrian accessibility to amenities and services, safety and environmental variables. Our computational approach outlines novel ways to measure life quality in a more granular scale, that can become valuable for urban planners, city officials and stakeholders. We apply data-driven methods to Budapest, but as having an emphasis on the online and easily available quantitative data, the methods can be generalized and applied to any city.",

keywords = "Life quality, Urban development, Urban networks, Walkability",

author = "\{Natera Orozco\}, \{Luis Guillermo\} and David Deritei and Anna Vancso and Orsolya Vasarhelyi",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 ; Conference date: 10-12-2019 Through 12-12-2019",

year = "2020",

doi = "10.1007/978-3-030-36683-4\_72",

language = "English",

isbn = "9783030366827",

series = "Studies in Computational Intelligence",

publisher = "Springer",

pages = "905--918",

editor = "Hocine Cherifi and Sabrina Gaito and Mendes, \{Jos{\'e} Fernendo\} and Esteban Moro and Rocha, \{Luis Mateus\}",

booktitle = "Complex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019",

}

Natera Orozco, LG, Deritei, D, Vancso, A & Vasarhelyi, O 2020, Quantifying Life Quality as Walkability on Urban Networks: The Case of Budapest. in H Cherifi, S Gaito, JF Mendes, E Moro & LM Rocha (eds), Complex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019. Studies in Computational Intelligence, vol. 882 SCI, Springer, pp. 905-918, 8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019, Lisbon, Portugal, 10/12/19. https://doi.org/10.1007/978-3-030-36683-4_72

Quantifying Life Quality as Walkability on Urban Networks: The Case of Budapest. / Natera Orozco, Luis Guillermo; Deritei, David; Vancso, Anna et al.
Complex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019. ed. / Hocine Cherifi; Sabrina Gaito; José Fernendo Mendes; Esteban Moro; Luis Mateus Rocha. Springer, 2020. p. 905-918 (Studies in Computational Intelligence; Vol. 882 SCI).

Research output: Contribution to Book/Report types › Conference contribution › peer-review

TY - GEN

T1 - Quantifying Life Quality as Walkability on Urban Networks

T2 - 8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019

AU - Natera Orozco, Luis Guillermo

AU - Deritei, David

AU - Vancso, Anna

AU - Vasarhelyi, Orsolya

PY - 2020

Y1 - 2020

N2 - Life quality in cities is deeply related to the mobility options, and how easily one can access different services and attractions. The pedestrian infrastructure network provides the backbone for social life in cities. While there are many approaches to quantify life quality, most do not take specifically into account the walkability of the city, and rather offer a city-wide measure. Here we develop a data-driven, network-based method to quantify the liveability of a city. We introduce a life quality index (LQI) based on pedestrian accessibility to amenities and services, safety and environmental variables. Our computational approach outlines novel ways to measure life quality in a more granular scale, that can become valuable for urban planners, city officials and stakeholders. We apply data-driven methods to Budapest, but as having an emphasis on the online and easily available quantitative data, the methods can be generalized and applied to any city.

AB - Life quality in cities is deeply related to the mobility options, and how easily one can access different services and attractions. The pedestrian infrastructure network provides the backbone for social life in cities. While there are many approaches to quantify life quality, most do not take specifically into account the walkability of the city, and rather offer a city-wide measure. Here we develop a data-driven, network-based method to quantify the liveability of a city. We introduce a life quality index (LQI) based on pedestrian accessibility to amenities and services, safety and environmental variables. Our computational approach outlines novel ways to measure life quality in a more granular scale, that can become valuable for urban planners, city officials and stakeholders. We apply data-driven methods to Budapest, but as having an emphasis on the online and easily available quantitative data, the methods can be generalized and applied to any city.

KW - Life quality

KW - Urban development

KW - Urban networks

KW - Walkability

UR - https://www.scopus.com/pages/publications/85087857057

U2 - 10.1007/978-3-030-36683-4_72

DO - 10.1007/978-3-030-36683-4_72

M3 - Conference contribution

SN - 9783030366827

T3 - Studies in Computational Intelligence

SP - 905

EP - 918

BT - Complex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019

A2 - Cherifi, Hocine

A2 - Gaito, Sabrina

A2 - Mendes, José Fernendo

A2 - Moro, Esteban

A2 - Rocha, Luis Mateus

PB - Springer

Y2 - 10 December 2019 through 12 December 2019

ER -

Natera Orozco LG, Deritei D, Vancso A, Vasarhelyi O. Quantifying Life Quality as Walkability on Urban Networks: The Case of Budapest. In Cherifi H, Gaito S, Mendes JF, Moro E, Rocha LM, editors, Complex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019. Springer. 2020. p. 905-918. (Studies in Computational Intelligence). doi: 10.1007/978-3-030-36683-4_72

Quantifying Life Quality as Walkability on Urban Networks: The Case of Budapest

Abstract (may include machine translation)

Publication series

Conference

UN SDGs

Keywords

Access to Document

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