Assessing water circularity in cities: Methodological framework with a case study

Abstract This exploratory research examines archival representations of Chinese in America in collections dating from before and during the Chinese Exclusion Era (1860–1943), both in mainstream institutional archives/special collections repositories and in smaller community-based archives. Using critical race theory as a methodological framework and an interpretivist case study approach, this research shows a continued lack for transparency surrounding archival description and archival representations within such collections and an uneven distribution of resources across institutions that collect and preserve materials on early Chinese in America. The report identifies the difficulties of balancing evolving terminologies and changing archival descriptive standards/technology and the need for collaboration among bibliographers, catalogers, archivists, historians and activists in creating archival descriptions in collections about the Chinese in America.

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Digital Twin for Monitoring Ergonomics during Manufacturing Production

Applied Sciences ◽

10.3390/app10217758 ◽

2020 ◽

Vol 10 (21) ◽

pp. 7758

Author(s):

Alessandro Greco ◽

Mario Caterino ◽

Marcello Fera ◽

Salvatore Gerbino

Keyword(s):

Decision Making ◽

Decision Making Process ◽

Methodological Framework ◽

Production Lines ◽

Work Activities ◽

Digital Twin ◽

Set Up ◽

Operational Issues ◽

Smart Factories

Within the era of smart factories, concerning the ergonomics related to production processes, the Digital Twin (DT) is the key to set up novel models for monitoring the performance of manual work activities, which are able to provide results in near real time and to support the decision-making process for improving the working conditions. This paper aims to propose a methodological framework that, by implementing a human DT, and supports the monitoring and the decision making regarding the ergonomics performances of manual production lines. A case study, carried out in a laboratory, is presented for demonstrating the applicability and the effectiveness of the proposed framework. The results show how it is possible to identify the operational issues of a manual workstation and how it is possible to propose and test improving solutions.

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A Geolocation Analytics-Driven Ontology for Short-Term Leases: Inferring Current Sharing Economy Trends

Algorithms ◽

10.3390/a13030059 ◽

2020 ◽

Vol 13 (3) ◽

pp. 59

Author(s):

Georgios Alexandridis ◽

Yorghos Voutos ◽

Phivos Mylonas ◽

George Caridakis

Keyword(s):

Building Blocks ◽

Sharing Economy ◽

Urban Landscapes ◽

Methodological Framework ◽

Short Term ◽

Multimodal Data ◽

Labeled Graph ◽

Current Sharing ◽

High Level

Short-term property rentals are perhaps one of the most common traits of present day shared economy. Moreover, they are acknowledged as a major driving force behind changes in urban landscapes, ranging from established metropolises to developing townships, as well as a facilitator of geographical mobility. A geolocation ontology is a high level inference tool, typically represented as a labeled graph, for discovering latent patterns from a plethora of unstructured and multimodal data. In this work, a two-step methodological framework is proposed, where the results of various geolocation analyses, important in their own respect, such as ghost hotel discovery, form intermediate building blocks towards an enriched knowledge graph. The outlined methodology is validated upon data crawled from the Airbnb website and more specifically, on keywords extracted from comments made by users of the said platform. A rather solid case-study, based on the aforementioned type of data regarding Athens, Greece, is addressed in detail, studying the different degrees of expansion & prevalence of the phenomenon among the city’s various neighborhoods.

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Absence, Ambiguity, and Deviating Pleasure Activism: The Tokyo Rainbow Film Festival

Social Science Japan Journal ◽

10.1093/ssjj/jyz049 ◽

2019 ◽

Vol 23 (1) ◽

pp. 23-36

Author(s):

Qin QIN

Keyword(s):

Organizational Studies ◽

Methodological Framework ◽

Film Festival ◽

Film Festivals ◽

Two Factors ◽

Diachronic Study ◽

Historical Trajectory ◽

A Site ◽

Shed Light

Abstract Whereas several Japanese popular magazines have published reports and interviews on LGBT film festival curators, little scholarship has shed light on Japanese LGBT film festivals. This article serves as a case study of how the festival enables the festival community—cinephiles, LGBT audiences, organized groups of activists, and indie filmmakers—to share ideas and coordinate within and outside the metropolis. I conduct a synchronic and diachronic study to sketch the historical trajectory of the festivalgoers, material spaces, festival formation, curation, and programming. In utilizing a methodological framework which includes geopolitics, gender, film, and organizational studies, this article proposes an approach that juxtaposes the classic concept of ‘counterpublics’ with the theoretical reading of affective politics and pleasure activism. The findings suggest that the Tokyo Rainbow Reel Film Festival functions as a site of discursive political stances and affective disposition. The ambiguity of the film festival space correlates closely with two factors: Japanese homophobia, or ‘the absence of LGBT’, and an unorthodox pleasure activism that does not include suffering and oppression.

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Methodology for Extracting Potential Customized Bus Routes Based on Bus Smart Card Data

Energies ◽

10.3390/en11092224 ◽

2018 ◽

Vol 11 (9) ◽

pp. 2224 ◽

Cited By ~ 9

Author(s):

Jing Li ◽

Yongbo Lv ◽

Jihui Ma ◽

Qi Ouyang

Keyword(s):

Smart Card ◽

Traffic Congestion ◽

Spatial Clustering ◽

Extraction Process ◽

Methodological Framework ◽

Transit Service ◽

Dbscan Algorithm ◽

Smart Card Data ◽

Division Process

To alleviate traffic congestion and traffic-related environmental pollution caused by the increasing numbers of private cars, public transport (PT) is highly recommended to travelers. However, there is an obvious contradiction between the diversification of travel demands and simplification of PT service. Customized bus (CB), as an innovative supplementary mode of PT service, aims to provide demand-responsive and direct transit service to travelers with similar travel demands. But how to obtain accurate travel demands? It is passive and limited to conducting online surveys, additionally inefficient and costly to investigate all the origin-destinations (ODs) aimlessly. This paper proposes a methodological framework of extracting potential CB routes from bus smart card data to provide references for CB planners to conduct purposeful and effective investigations. The framework consists of three processes: trip reconstruction, OD area division and CB route extraction. In the OD area division process, a novel two-step division model is built to divide bus stops into different areas. In the CB route extraction process, two spatial-temporal clustering procedures and one length constraint are implemented to cluster similar trips together. An improved density-based spatial clustering of application with noise (DBSCAN) algorithm is used to complete these procedures. In addition, a case study in Beijing is conducted to demonstrate the effectiveness of the proposed methodological framework and the resulting analysis provides useful references to CB planners in Beijing.

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A methodological framework for identifying potential sources of soil heavy metal pollution based on machine learning: A case study in the Yangtze Delta, China

Environmental Pollution ◽

10.1016/j.envpol.2019.04.047 ◽

2019 ◽

Vol 250 ◽

pp. 601-609 ◽

Cited By ~ 19

Author(s):

Xiaolin Jia ◽

Bifeng Hu ◽

Ben P. Marchant ◽

Lianqing Zhou ◽

Zhou Shi ◽

...

Keyword(s):

Machine Learning ◽

Heavy Metal ◽

Metal Pollution ◽

Heavy Metal Pollution ◽

Methodological Framework ◽

Yangtze Delta ◽

Soil Heavy Metal ◽

Potential Sources

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Supporting Children’s Independent Activities in Smart and Playable Public Places

Sustainability ◽

10.3390/su12208352 ◽

2020 ◽

Vol 12 (20) ◽

pp. 8352

Author(s):

Chiara Garau ◽

Alfonso Annunziata

Keyword(s):

Urban Design ◽

Public Spaces ◽

Urban Spaces ◽

Methodological Framework ◽

Public Places ◽

Historic Center ◽

Physical Attributes ◽

Process Of Urbanization ◽

The City

The global process of urbanization, and the modification of social interaction determined by the pandemic crisis, poses the issue of the place of vulnerable users and, in particular, children, within the contemporary city. This research aimed to elaborate a theoretical and methodological framework, based on the concepts of affordance and capability, for analyzing the potential of public spaces to enable and support children’s independent activities. This potential, or meaningful usefulness, is expressed by the Index of Meaningful Usefulness of public Urban Spaces (IUIS). The latter is calculated via the tool ‘Opportunities for Children in Urban Spaces’ (OCUS). This methodology is applied to the analysis of significant public spaces within the historic center of the city of Iglesias in Sardinia, Italy. The results reveal adequate usefulness of the selected spaces, while underlining criticalities related to intrinsic spatial and physical attributes. The application to the case study confirms the validity of the theoretical and methodological framework embodied in the OCUS tool for supporting urban design and planning by orienting place-shaping processes towards the acknowledgement of children’s needs.

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A Methodological Framework to Initiate and Design Transition Governance Processes

Sustainability ◽

10.3390/su11030844 ◽

2019 ◽

Vol 11 (3) ◽

pp. 844 ◽

Cited By ~ 11

Author(s):

Johannes Halbe ◽

Claudia Pahl-Wostl

Keyword(s):

Learning Objects ◽

Integrated Analysis ◽

Sustainability Transitions ◽

Methodological Framework ◽

Study Region ◽

Targeted Interventions ◽

Transition Governance ◽

Learning Factors ◽

Governance Processes

Abstract: Sustainability transitions require societal change at multiple levels ranging from individual behavioral change to community projects, businesses that offer sustainable products as well as policy-makers that set suitable incentive structures. Concepts, methods and tools are currently lacking that help to initiate and design transition governance processes based upon an encompassing understanding of such diverse interactions of actors and intervention points. This article presents a methodological framework for the initiation and design of transition governance processes. Based upon a conceptualization of sustainability transitions as multilevel learning processes, the methodological framework includes participatory modeling, a systematic literature review and governance system analysis to identify social units (learning subjects and contexts), challenges (learning objects) and intervention points (learning factors) relevant for initiating case-specific transition governance processes. A case study on sustainable food systems in Ontario, Canada is provided to exemplify the application of the methodological framework. The results demonstrate the merit of combining stakeholder-based and expert-based methods, as several learning factors identified in the participatory process could not be found in the general literature, and vice versa. The methodological framework allowed for an integrated analysis of the diversity of existing initiatives in the case study region and specific intervention points to support place-based sustainability innovations. Initiators of transition governance processes can use the results by designing targeted interventions to facilitate and coordinate existing initiatives or by setting new impulses through purposeful action.

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