{"title":"Environmental monitoring and the geospatial sprawl of historic mining legacies in Australia","authors":"Nicholas Metherall, Talei Caucau","doi":"10.1504/ijsss.2021.10041416","DOIUrl":"https://doi.org/10.1504/ijsss.2021.10041416","url":null,"abstract":"Mining legacies refer to the lasting environmental, social and public health impacts of abandoned, orphan and derelict mine sites. The spatial extent of these lasting legacies of contaminants origi...","PeriodicalId":89681,"journal":{"name":"International journal of society systems science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42854088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pollution prevention and mitigation - all hands on deck","authors":"H. Bachor, L. Schneider","doi":"10.1504/ijsss.2021.10041420","DOIUrl":"https://doi.org/10.1504/ijsss.2021.10041420","url":null,"abstract":"Economic and population growth has resulted in a significant environmental pollution issue in the Anthropocene. As the world evolves, new technologies bring more challenges to be faced due to pollu...","PeriodicalId":89681,"journal":{"name":"International journal of society systems science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42966861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The importance of understanding local legends to conserve wildlife: freshwater turtles of the Amazon","authors":"C. R. Ferrara, L. Schneider, R. Vogt","doi":"10.1504/ijsss.2021.10041414","DOIUrl":"https://doi.org/10.1504/ijsss.2021.10041414","url":null,"abstract":"The purpose of this paper is to reveal for the first time some of the legends that have been told about turtles from generation to generation in the quilombola communities in the Rio Trombetas. Fro...","PeriodicalId":89681,"journal":{"name":"International journal of society systems science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48860495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Verifying the effects of residents' evacuation actions through continuous tsunami disaster prevention training","authors":"Yuya Yamato, Dinh-Thanh Nguyen","doi":"10.1504/ijsss.2021.10039567","DOIUrl":"https://doi.org/10.1504/ijsss.2021.10039567","url":null,"abstract":"Appropriate evacuation actions are required for tsunami evacuation. Tsunami disaster prevention training is a form of training intended to reduce tsunami evacuation time as much as possible and appropriately perform evacuation actions. This study analyses residents' evacuation actions in a non-tsunami-prone area over a long period of seven years and is novel in that it enables sufficient analysis of evacuation actions. This study examines the effects of the seven-year continuous disaster prevention trainings from 2013 to 2019, which were conducted by the Ishikawa prefecture, Kaga city, Miki district voluntary disaster prevention association, in Japan. The following four points are mentioned: 1) changes in content and evacuation actions that should be implemented during disaster prevention trainings; 2) how to respond to voluntary disaster prevention association to improve the safety of evacuation routes; 3) devising a voluntary disaster prevention association to make residents check how to operate evacuation shelters; 4) analysing evacuation actions by ages and determining ages that requires disaster prevention education.","PeriodicalId":89681,"journal":{"name":"International journal of society systems science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43249548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Classifying COVID-19-related hate Twitter users using deep neural networks with sentiment-based features and geopolitical factors","authors":"P. Zhao, Xi Chen, Xin Wang","doi":"10.1504/ijsss.2021.116373","DOIUrl":"https://doi.org/10.1504/ijsss.2021.116373","url":null,"abstract":"Anti-Asian hate tweets caused by COVID-19 pandemic is an ongoing social problem in the USA and around the world. Although existing studies have been done by using a text classifier, little is known on how deep learning works with public sentiments of political opinions and geographical diversities. This paper provides a new method to classify the pandemic-related anti-Asian hater on Twitter. A novel dataset for tracking pandemic-related Twitter users, which contains more than 10 million tweets, is created in this study. Target users are annotated by identifying their sentiments towards the US elections with their geolocations. The empirical result indicates that the political sentiments and the county-level election results make significant contributions to the model building. By training a DNN model, over 190,000 Twitter users are classified as hate or non-hate with a 61% accuracy and a 0.63 AUC score.","PeriodicalId":89681,"journal":{"name":"International journal of society systems science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43586955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A critical review of mental health research in Mumbai and New York City","authors":"S. Malekar, Shamira Malekar","doi":"10.1504/ijsss.2021.116372","DOIUrl":"https://doi.org/10.1504/ijsss.2021.116372","url":null,"abstract":"Mental health (MH) is an essential part of wellbeing. The objective of this review is to evaluate recent MH research themes in Mumbai and New York City (NYC). These megacities were chosen for review due to their cultural and institutional differences. The attributes of comparison were research attention, social dynamics, and healthcare access. There is an asymmetry of data as MH research in Mumbai is comparatively uncommon due to perceived stigma and cultural factors. In NYC, immigration status and ethnicity were found to affect MH. Common themes include the investigation of minority MH and the role of social support in mitigating mental disorders. NYC mental and primary healthcare systems are integrated and separate in Mumbai. The NYC government enforced an MH initiative, ThriveNYC, with mixed outcomes. The implications of this critical review include the necessity of MH destigmatisation initiatives and the incorporation of MH services with primary healthcare.","PeriodicalId":89681,"journal":{"name":"International journal of society systems science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44019237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"When and where Proactively predicting traffic accident in South Africa: our machine learning competition winning approach","authors":"S. Afolabi, Warrie Usenobong Warrie, O. Banjo, Opeoluwa Iwashokun, Abimbola Olawale, Naledi Ngqambela, Fata Soliu, Olawumi Olasunkanmi, Folorunso Sakinat, Sibusiso Sibusiso Matshika","doi":"10.1504/ijsss.2021.116374","DOIUrl":"https://doi.org/10.1504/ijsss.2021.116374","url":null,"abstract":"South Africa (SA) records high mortality originating from traffic accident annually making the country to be ranked highly among nations with the highest traffic mortality globally. There is seemingly no study that has attempted to forecast when and where next accident will occur in SA. This study aims to use machine learning method to predict traffic accident in SA for every hour ranging between 1 January and 31 March 2019 at a segment ID. We obtained details of accidents that occurred in Cape Town, SA between 2016 and 2019 SANRAL, Uber Movement and Cape Town FMS via Zindi competition platform. This research adopted Catboost and LightGBM models to predict the traffic incident occurrence. Our model shows a F1 score of 0.11. The results of this research will aid prediction of accident occurrence at a particular road segment hourly.","PeriodicalId":89681,"journal":{"name":"International journal of society systems science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48240290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Designing 'youth master plans' in a CLE space: lessons from using Minecraft in secondary school outreach project in Scotland","authors":"D. Gopinath","doi":"10.1504/ijsss.2021.116371","DOIUrl":"https://doi.org/10.1504/ijsss.2021.116371","url":null,"abstract":"Lefebvre (1991) argued for a 'right to the city' so that more people are involved in the (re-)production of urban spaces but this is problematic to implement for 'hard-to-reach' groups such as young people. I argue that the constructivist learning environment (CLE) space developed in this paper has potential, both as theory and method, in offering an environment where young people can critically assess and re-design the spaces in the 'real' world through a virtual portal. The CLE space as a 'relational space' will be distinct to the spaces where conventional participatory approaches unfold e.g. a community hall - this is where virtual gaming software such as Minecraft have potential and which would prevent workshop 'gatekeepers' from presenting an a priori blueprint as to how design solutions ought to be carried out by young people. Policy makers can use CLE space for developing 'child-friendly cities' or 'youth master plans'.","PeriodicalId":89681,"journal":{"name":"International journal of society systems science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48462525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investment strategy development: does public service serve the investor well","authors":"Eny Lestary Widarni, Nasikh, Silvi Asna Prestianawati","doi":"10.1504/ijsss.2021.115869","DOIUrl":"https://doi.org/10.1504/ijsss.2021.115869","url":null,"abstract":"This study aimed to determine the investment index and its development strategies in Malang City, Indonesia. A descriptive quantitative approach was carried out using the ICOR formula. The results showed that the ICOR of Malang City had not reached the optimal index yet. Therefore, long-term investment is necessary to be done in Malang, considering that an additional lag in the ICOR causes the ICOR number to get closer to one. The results of this study could be utilised by the local government in developing a more comprehensive policy on investment in Malang. Furthermore, this research result also can be used by society to enlarge their knowledge before doing investment in Malang City.","PeriodicalId":89681,"journal":{"name":"International journal of society systems science","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42221203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Contextual divide, methodological variations and theoretical usage of voluntary employee green behaviour research: a review","authors":"H. Priyankara, N. Naotunna","doi":"10.1504/ijsss.2021.115846","DOIUrl":"https://doi.org/10.1504/ijsss.2021.115846","url":null,"abstract":"Amongst the many challenges faced by society, climate change is one of the critical issues. This article aims to review the literature on voluntary employee green behaviour (VEGB) to identify and evaluate the contextual dispersion, the methodological variations, and the theoretical rigorousness of VEGB studies. A review of 65 research papers on VEGB shows a continental divide and prominence of quantitative research methodology over qualitative methodology. Further, though the researchers have used multi-level conceptual frameworks, only a handful of studies have applied multi-level analysis. Notably, the multi-theory applications in VEGB studies are rare. The study findings imply the need for uncovering the VEGB knowledge in developing country contexts, using multi-level analysis, and employing a multi-theory perspective to generate further knowledge about VEGB, which will be beneficial in mitigating eco-system damages and promoting a responsible society.","PeriodicalId":89681,"journal":{"name":"International journal of society systems science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45952853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}