Sustainable Cities and Society

ISSN: 2210-6707
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Datasets associated with articles published in Sustainable Cities and Society
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  • The attached excel files contain all economic calculations.
    Data Types:
    • Tabular Data
    • Dataset
  • Data Types:
    • Other
    • Dataset
  • Sustainable development based policy making utilizing fuzzy TOPSIS
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    • Dataset
    • Document
  • Sustainability Models in Development of Electric Vehicles
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    • Dataset
    • Document
  • This Supplementary Data (SD) includes detailed explanations of algorithms and input parameters used in the paper "Supporting an integrated transportation infrastructure and public space design: A coupled simulation method for evaluating traffic pollution and microclimate".
    Data Types:
    • Dataset
    • Document
  • A data brief article has been attached with manuscript for more details.
    Data Types:
    • Dataset
    • File Set
  • Data Types:
    • Other
    • Dataset
  • It explains the process adopted in Phase 1 and 2 of this research project.
    Data Types:
    • Dataset
    • Document
  • This data corresponds to the input parameters used in the paper "Municipal Solid Waste Management with Cost Minimization and Emission Control Objectives: A Case Study of Ankara". Some of these parameters are taken from the literature, some are taken from online sources, some are generated using a GIS tool, and some are the actual values of the municipal solid waste management system in practice in Ankara. The sources of the data are provided in detail in the paper. You can contact the first author regarding detailed results of the case study.
    Data Types:
    • Tabular Data
    • Dataset
  • The considered sample is composed by masonry buildings placed in a limited area affecting the historic centres of Accumoli, Amatrice, Arquata del Tronto, Capodacqua and Illica stricken by the Central Italy seismic sequence in 2016, with the epicentre in Accumoli (RI) (42.7,13.23), on 2016/08/24 03:36:32 (UTC+2), Mw=6.0 (Seismic database: http://cnt.rm.ingv.it/en/event/7073641 last access 2019/04/10). The selected buildings (mainly for their various damage levels and for the availability of data about vulnerability and about the geometrical measures of streets) are subdivided in structural units (defined as independent structural parts composing the building itself), which suffered from 1st to 5th damage grade according to EMS-98 scale (Grünthal, 1998). They were located in a restricted area with a limited range of macroseismic intensity values (from 8.8 to 9.3 registered by USGS’s Shake Maps available on: https://earthquake.usgs.gov/data/shakemap/ last access 2019/04/10) and so the moment magnitude, provided above, can be reasonably considered about the same on the overall territory (according to the aforementioned shake maps). For each building in the sample, DATA sheet shows geometrical measures and ratios, the buildings damage grades according to EMS-98 and results application of: civil protection method, Ferlito and Pizza’s 2011, both debris estimation criteria, k95 macroseismic damages-based and Observed macroseismic damages-based methods (EMS-98 damages by photos) and finally the real scenarios conditions (C stands for “clear” and B for “blocked”). In particular, 3 situations can emerge from comparisons between the predicted result from a method application and the corresponding real-world observation: 1. correspondence between predicted and real path condition; 2. overestimation, in case the considered method predicts a “blocked” path, but the real-world observation refers to “clear” path conditions. In this case, the method prediction produces a conservative result; 3. underestimation, in cases the considered method predicts a “clear” path, but the real-world observation refers to “blocked” path conditions. In this case, the method prediction produces an “unsafe” result. Each element ID is relates to a structural unit, according to the following criterion: the number identify the aggregate; the letter identifies the related structural unit; the capital letter stands for the urban centre of origin (IL for Illica (RI), AS for Amatrice (RI) south part, AN for Amatrice (RI) north part, CD for Capodacqua (AP), AC for Accumoli (RI), AT for Arquata del Tronto (AP)). COMPARISON sheet provides the percentage results of comparisons between each considered method and real-world scenario conditions are reported indicating the total percentage of cases of correspondence (C), Overestimation (O) and their sum (C+O) on the overall sample made by 50 structural units associated to their underlying urban streets.
    Data Types:
    • Tabular Data
    • Dataset
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