Lo Storto Corrado
Department of Industrial Engineering, University of Naples Federico II, Italy.
Data Brief. 2019 Aug 12;25:104380. doi: 10.1016/j.dib.2019.104380. eCollection 2019 Aug.
The collection of urban waste is an important step of the waste management cycle, because the collection of sorted waste that soon separates different kind of materials makes their reusing, recovering, and recycling easier and more efficient, reducing the amount of landfilled waste. In Italy, municipalities have to meet specific targets relative to the yearly percentage of sorted waste collection. Collecting and analyzing data about waste collection and the proportion of sorted waste and the specific type of waste materials is a critical activity to measure the performance and monitor the effort of the municipalities to meet targets. Raw data relative to the yearly amounts of total and sorted waste collected from 2007 to 2017, and data relative to socio-economics in 258 municipalities of the Apulia region were retrieved from public databases and were used to calculate waste statistical indicators. Data about total and sorted waste collection in Italy at the regional and country level were retrieved and analysed to compare the Apulia region and specific groups of regions. The evolution of the per capita total and sorted waste amounts was also analysed over time for Apulia and the rest of Italy. The effects of the municipality surface area, the number of inhabitants and population density on the sorted waste collection rate were investigated by performing regression analysis. These data may help policy makers and stakeholders to evaluate total and sorted waste production over time, set and assess targets, and identify best policy practices.
城市垃圾收集是垃圾管理周期中的重要一步，因为收集分类后的垃圾（能很快分离出不同种类的材料）会使垃圾的再利用、回收和循环利用更加容易且高效，从而减少填埋垃圾的数量。在意大利，各市必须实现与每年分类垃圾收集百分比相关的特定目标。收集和分析有关垃圾收集、分类垃圾比例以及特定类型垃圾材料的数据，是衡量各市绩效并监测其为实现目标所做努力的关键活动。从公共数据库中检索了2007年至2017年从普利亚地区258个市收集的年度总垃圾量和分类垃圾量的原始数据，以及与社会经济相关的数据，并用于计算垃圾统计指标。检索并分析了意大利区域和国家层面的总垃圾和分类垃圾收集数据，以比较普利亚地区和特定区域组。还分析了普利亚地区和意大利其他地区人均总垃圾量和分类垃圾量随时间的变化情况。通过进行回归分析，研究了市表面积、居民数量和人口密度对分类垃圾收集率的影响。这些数据可能有助于政策制定者和利益相关者评估随时间推移的总垃圾和分类垃圾产量，设定和评估目标，并确定最佳政策实践。
