9786203471120 - Household solid waste characteristics and recycling behavior: A case study in Danang city, Vietnam de TRAN, VU CHI MAI; TRAN, VU MAI YEN; HO, HONG QUYEN (5 resultados)

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Taschenbuch. Condición: Neu. Household solid waste characteristics and recycling behavior | A case study in Danang city, Vietnam | Vu Chi Mai Tran (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203471120 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This study focused on household solid waste (HSW) characteristics and recycling behavior in Da Nang City, Vietnam to assess the waste generation rate, the separation behavior and clarify the factors influencing the separation behavior. The authors conducted a questionnaire survey, the survey measurement, and a composition survey for 150 households in six urban districts. The HSW generation rate was 230 g / cap / day. Total HSW generation in the six districts of Da Nang was estimated to be 209.6 tons / day. The current status of recycling activity in terms of participation rate, the habits of recyclable discard, factors promoting recycling was also presented. Leftover food and recyclables such as plastic bottles and aluminum cans were the most common recycling items with a participation rate of 77.3% and 84.1%, respectively. The predictive models were developed on recycling behavior by binary logistic and multiple linear regression to clarify the determinants. The authors also analyzed the differences in separation rates among attributes. From the obtained results, some suggestions were given in order to improve the participation rate on recycling. 52 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This study focused on household solid waste (HSW) characteristics and recycling behavior in Da Nang City, Vietnam to assess the waste generation rate, the separation behavior and clarify the factors influencing the separation behavior. The authors conducted a questionnaire survey, the survey measurement, and a composition survey for 150 households in six urban districts. The HSW generation rate was 230 g / cap / day. Total HSW generation in the six districts of Da Nang was estimated to be 209.6 tons / day. The current status of recycling activity in terms of participation rate, the habits of recyclable discard, factors promoting recycling was also presented. Leftover food and recyclables such as plastic bottles and aluminum cans were the most common recycling items with a participation rate of 77.3% and 84.1%, respectively. The predictive models were developed on recycling behavior by binary logistic and multiple linear regression to clarify the determinants. The authors also analyzed the differences in separation rates among attributes. From the obtained results, some suggestions were given in order to improve the participation rate on recycling.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This study focused on household solid waste (HSW) characteristics and recycling behavior in Da Nang City, Vietnam to assess the waste generation rate, the separation behavior and clarify the factors influencing the separation behavior. The authors conducted a questionnaire survey, the survey measurement, and a composition survey for 150 households in six urban districts. The HSW generation rate was 230 g / cap / day. Total HSW generation in the six districts of Da Nang was estimated to be 209.6 tons / day. The current status of recycling activity in terms of participation rate, the habits of recyclable discard, factors promoting recycling was also presented. Leftover food and recyclables such as plastic bottles and aluminum cans were the most common recycling items with a participation rate of 77.3% and 84.1%, respectively. The predictive models were developed on recycling behavior by binary logistic and multiple linear regression to clarify the determinants. The authors also analyzed the differences in separation rates among attributes. From the obtained results, some suggestions were given in order to improve the participation rate on recycling.