The Long-Run Commuting Population: Effects on Electoral Turnout in Inner Areas

The study leverages access to highly granular data on the population with administrative signals of long-run commuting, particularly students and workers, to explore the effect on electoral participation, with a special focus on Italy's internal areas, territories marked by depopulation, economic fragility, and limited access to service. Administrative data from 7,896 municipalities have been collected and standardised commuting indicators for students and workers have been computed to analyse the voter turnout patterns. The results show that these areas with economic decline, outmigration, and limited access to socio-economic resources often exhibit lower rates of turnout, showing how structural inequalities affect electoral behaviour. Areas marked by economic hardship and long-run commuting population are particularly vulnerable to economic limitations and less effective services. These findings assess the impact of long-run commuting on electoral participation. The study proposes a multidimensional framework that aligns socio-economic and demographic variables to support participation, advocating for an inclusive approach to building resilient communities.

本研究依托涵盖长期通勤行政记录的精细化人口数据（重点覆盖学生与劳动者群体），探究长期通勤对选民参选率的影响，研究特别聚焦意大利内陆地区——这类地区以人口流失、经济脆弱、公共服务可及性不足为典型特征。研究收集了7896个市镇的行政数据，并计算得到针对学生与劳动者的标准化通勤指标，用以分析选民参选率的分布模式。结果显示，面临经济衰退、人口外流以及社会经济资源可及性不足的地区，参选率往往更低，这揭示了结构性不平等如何影响选民投票行为。以经济困境与长期通勤人口为特征的地区，尤其容易受到经济约束与低效公共服务的负面影响。本研究的上述发现系统评估了长期通勤对选民参选率的影响。本研究提出了一套多维度分析框架，将社会经济与人口统计变量加以整合以支撑选民参选，并倡导采用包容性路径建设韧性社区。