Using Participatory Crowdsourcing in South Africa to Create a Safer Living Environment
The increase in urbanisation is making the management of city resources a difficult task. Data collected through observations (utilising humans as sensors) of the city surroundings can be used to improve decision making in terms of managing these resources. However, the data collected must be of a c...
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| Format: | Article |
| Language: | English |
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Wiley
2013-11-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/907196 |
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| author | Bhaveer Bhana Stephen Flowerday Aharon Satt |
| author_facet | Bhaveer Bhana Stephen Flowerday Aharon Satt |
| author_sort | Bhaveer Bhana |
| collection | DOAJ |
| description | The increase in urbanisation is making the management of city resources a difficult task. Data collected through observations (utilising humans as sensors) of the city surroundings can be used to improve decision making in terms of managing these resources. However, the data collected must be of a certain quality in order to ensure that effective and efficient decisions are made. This study is focused on the improvement of emergency and nonemergency services (city resources) through the use of participatory crowdsourcing (humans as sensors) as a data collection method (collect public safety data), utilising voice technology in the form of an interactive voice response (IVR) system. This study proposes public safety data quality criteria which were developed to assess and identify the problems affecting data quality. This study is guided by design science methodology and applies three driving theories: the data information knowledge action result (DIKAR) model, the characteristics of a smart city, and a credible data quality framework. Four critical success factors were developed to ensure that high quality public safety data is collected through participatory crowdsourcing utilising voice technologies. |
| format | Article |
| id | doaj-art-5177e8a8a3a347b7b6f908b4c70a7a2a |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2013-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-5177e8a8a3a347b7b6f908b4c70a7a2a2025-02-03T06:43:05ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-11-01910.1155/2013/907196907196Using Participatory Crowdsourcing in South Africa to Create a Safer Living EnvironmentBhaveer Bhana0Stephen Flowerday1Aharon Satt2 Department of Information Systems, University of Fort Hare, Private Bag x9083, East London 5200, South Africa Department of Information Systems, University of Fort Hare, Private Bag x9083, East London 5200, South Africa IBM R&D Labs in Israel, University of Haifa Campus, Mount Carmel, Haifa 31905, IsraelThe increase in urbanisation is making the management of city resources a difficult task. Data collected through observations (utilising humans as sensors) of the city surroundings can be used to improve decision making in terms of managing these resources. However, the data collected must be of a certain quality in order to ensure that effective and efficient decisions are made. This study is focused on the improvement of emergency and nonemergency services (city resources) through the use of participatory crowdsourcing (humans as sensors) as a data collection method (collect public safety data), utilising voice technology in the form of an interactive voice response (IVR) system. This study proposes public safety data quality criteria which were developed to assess and identify the problems affecting data quality. This study is guided by design science methodology and applies three driving theories: the data information knowledge action result (DIKAR) model, the characteristics of a smart city, and a credible data quality framework. Four critical success factors were developed to ensure that high quality public safety data is collected through participatory crowdsourcing utilising voice technologies.https://doi.org/10.1155/2013/907196 |
| spellingShingle | Bhaveer Bhana Stephen Flowerday Aharon Satt Using Participatory Crowdsourcing in South Africa to Create a Safer Living Environment International Journal of Distributed Sensor Networks |
| title | Using Participatory Crowdsourcing in South Africa to Create a Safer Living Environment |
| title_full | Using Participatory Crowdsourcing in South Africa to Create a Safer Living Environment |
| title_fullStr | Using Participatory Crowdsourcing in South Africa to Create a Safer Living Environment |
| title_full_unstemmed | Using Participatory Crowdsourcing in South Africa to Create a Safer Living Environment |
| title_short | Using Participatory Crowdsourcing in South Africa to Create a Safer Living Environment |
| title_sort | using participatory crowdsourcing in south africa to create a safer living environment |
| url | https://doi.org/10.1155/2013/907196 |
| work_keys_str_mv | AT bhaveerbhana usingparticipatorycrowdsourcinginsouthafricatocreateasaferlivingenvironment AT stephenflowerday usingparticipatorycrowdsourcinginsouthafricatocreateasaferlivingenvironment AT aharonsatt usingparticipatorycrowdsourcinginsouthafricatocreateasaferlivingenvironment |