District Characteristics Research Articles

Gender, Institutions, and Legislative Speech

Speechmaking is a vital resource for legislators and holds particular importance for women lawmakers, who frequently constitute a numerical minority and face constraints on their political influence. We argue that formal and informal institutions, district characteristics, and issue priorities shape women's speech participation. Analyzing twenty-eight years of speeches from Chile's Chamber of Deputies, we first show that women's speeches constitute a small share of all speeches, directly corresponding to their numeric representation. Proportionally, however, women are over/under-represented in speechmaking across different policy areas. After controlling for various factors correlating with gender, including committee assignments, tenure, and district characteristics, women's relative participation is similar to men's in most topics but exceeds men's in areas that disproportionately affect women's lives, reflecting their commitment to substantive representation.

Recycling Production and Consumption Waste for Bioenergy Purposes: Status and Prospects

An analysis of the structure of forest and agro-industrial waste, solid municipal waste in the federal districts and Russia as a whole is presented. The volume and composition of waste is determined by the economic activity and specific characteristics of federal districts. It was noted that pelletizing is an effective technology for the disposal of many types of waste, but the great heterogeneity of feedstock and granulation methods prevent the production of high-quality pellets. The fuel component of pellet in the cost of thermal energy was evaluated, whichshowed that the most efficient in use – wood pellets, least efficient – pellets from solid municipal waste.

Nourishing Farm to School Practice With Data to Inform Program Needs: An Evaluation of Participation Among California Public Districts During the 2018-2019 School Year

BackgroundThe US Department of Agriculture promotes farm to school (F2S) as an evidence-based approach to help school meals meet updated nutrition standards that promote health. California is a key agricultural state with strong support for F2S to promote local agriculture and equitable access to nutritious food for all students. ObjectiveExamine district characteristics associated with F2S participation among California public districts during the 2018-2019 school year. DesignCross-sectional evaluation of 2019 US Department of Agriculture Farm to School Census data. Participants/settingCalifornia public districts responding to the 2019 US Department of Agriculture F2S Census (N = 572). Main outcome measureReported participation in F2S activities in 2018-2019. Covariates included district size, annual per-pupil spending, urbanicity, racial/ethnic composition, and percent free and reduced-price meal (% FRPM) eligibility. Statistical analysisDescriptive statistics (unweighted frequency and weighted percent) were reported for demographic characteristics. Weighted, multiple logistic regression assessed associations between demographic characteristics and F2S participation, reported as odds ratios (95% CI). ResultsNearly 78% of California respondents reported F2S participation. Top activities were serving local food in school lunch (73%) and breakfast (65%) and local food promotion at school (45.5%). The odds of participation among districts with enrollments ≥1000 were 1.79 (95% CI 1.15 to 2.79) times higher than smaller districts and 1.57 (95% CI 1.08 to 2.28) times higher in districts with lower annual per-pupil spending (≤$13 707). No significant differences were found by racial/ethnic composition, % FRPM eligibility, or urbanicity. ConclusionsDisparities in F2S participation exist for small districts and those with high annual per-pupil spending that may lack the advantages of economies of scale. Grant incentives and support networks for these groups are recommended along with increased monitoring focused on the quality of F2S engagement. Administration of a brief annual state F2S Census could support more timely monitoring and accountability to align with state goals and improve opportunities for data sharing and community engagement.

Spatial Differentiation in the Use of Rural Development Programme Funds for the Environment in Poland for the Periods 2007–2013 and 2014–2020

The purpose of this paper is to assess the changes in agricultural producers’ use of funds allocated for environmental measures under the 2007–2013 RDP (Rural Development Program) and 2014–2020 RDP in Poland. The extent to which environmental CAP (Common Agricultural Policy) funds are used was examined on a geographic basis, so as to take account of socioeconomic and environmental characteristics of districts. Correlation analysis and a cartographic method were used. The study found growing differences in how the funds are used between territorial units. The analysis of correlation provided grounds for concluding that a relationship exists between the share of environmental funds used in total RDP payments and environmental conditions, mostly including the share of permanent pasture in the structure of agricultural land (0.515 in 2014–2020). Conversely, no relationship was discovered between the level of wealth and the local agrarian structure (0.249 and 0.327 in 2014–2020). The analysis of differences between territorial units revealed that in some geographic areas that had the potential for being granted environmental funds, the farmers decided not to apply for them. Based on the above, it was concluded that the potential beneficiaries’ activity in that respect is largely impacted not only by their environmental awareness and attitude but also by historical events.

Research on the Development Characteristics of Urban Commercial Districts in the Consumer Society: A Case Study of Shanghai

With the advent of the consumer era, the spatial structure of urban areas in China has undergone significant changes, exhibiting new development characteristics. This study aims to investigate the consumer space structure, functional structure, and consumer demand from three dimensions. By examining the development history, architectural space, and community form, as well as studying the basic attributes and behavioral characteristics of consumers, it summarizes that Shanghai’s commercial communities demonstrate a mutual penetration of consumption and non-consumption. The need for a community-oriented, experiential integration of commercial formats is evident in these areas.

Complexities in Context: Uncovering Differences in School Leaders’ Needs and Mentoring Based on School Environment

As the demands on public school leaders continue to increase, their need for support increases. Mentoring is one way school leaders may experience that support. In this paper, we examine the support school leaders state they need and the extent to which mentorship may be addressing those needs. We draw on survey results matched to school and district characteristics for 422 school leaders in a midsize northeastern state. Based on regression analyses, we find that many school leaders report needing support most strongly in instructional leadership and attending to equity and diversity. We also find that while many school leaders report the mentoring they receive is sufficient and beneficial, perceived sufficiency varies based on school environment.

Оценка частоты возникновения засухи в Файзабадском районе (Таджикистан) в зависимости от метеорологических условий

The results of the analysis of the manifestation of drought in the Faizabad region based on calculations of the standardized precipitation and evapotranspiration index (SPEI) are presented. It has been established that there is no definite pattern in the occurrence of drought, even for a long period. By comparing the number and duration of droughts in the Fayzabad district with the climatic characteristics of the Fayzabad district, a close dependence of drought on the average annual temperature and precipitation has been established.

Exploring Systemic Sustainability in Manufacturing: Geoanthropology’s Strategic Lens Shaping Industry 6.0

This seminal study explores systemic sustainability within the Industry 5.0 paradigm, using the strategic lens of geoanthropology to shape the emerging concept of Industry 6.0. A transdisciplinary approach is adopted, integrating geoanthropological insights into the analysis of the Italian ceramic district. Seven key factors are considered: resource consumption, production dynamics, innovation, environmental impact, social impact, market dynamics, and economic impact. Historical events such as changes in Italian industrial policy, market slowdowns, and the COVID-19 pandemic are identified as significant for the sector. A contingent analysis tailored to the unique characteristics of the ceramic district provides an in-depth understanding of its challenges and opportunities. The incorporation of geoanthropology provides a transdisciplinary perspective that allows for an in-depth examination of the complex interactions between people and their environment in an industrial setting. The study highlights the central role of innovation, digitalization, and government policies in driving positive changes in production efficiency, market dynamics, and economic impact. Nevertheless, challenges remain, including the delicate balance between environmental sustainability and resource consumption, as well as the effective management of the social impacts of digitization. To address these challenges, a systemic sustainability index derived from geoanthropological insights is proposed as a pragmatic tool to measure and guide the development of sustainability initiatives in the ceramic district. The results of this study not only pave the way for new horizons in sustainability assessment but also provide valuable insights for industrial district managers to formulate strategies that foster organizational flexibility and resilience.

Industry 4.0 and sustainability: the case of the Italian textile district of Prato

PurposeThe purpose of this paper is to analyze the twin transition of textile firms operating in an industrial district. The twin transition comprises two interconnected but distinct processes: the sustainable transition and the digital transition. The study specifically considers sustainability goals in terms of the triple bottom line and digitalization as the adoption of Industry 4.0 (I4.0) technologies. The study aims to understand how the characteristics of Italian districts influence the choices related to the twin transition and how it affects textile industrial firms.Design/methodology/approachThe author conducts a multiple-case study involving five firms of industrial textile district of Prato.FindingsThe results show the relationship between the characteristics of the district, such as fragmentation of the supply chain, lean manufacturing, territorial proximity and attachment to origins and traditions and the sustainable goals and I4.0 technologies adoption. Moreover, the study proposes a framework for twin transition. Market and technology drive the process in which sustainability represents the aim, I4.0 serves as enablers and the relevant outcome is the implementation of the business model innovation.Practical implicationsThese findings offer valuable insights for textile firms, policymakers and stakeholders seeking to navigate the complexities of twin transition.Originality/valueThe study contributes to the broader topic of twin transition. In particular, it links the particular context represented by the industrial district in which the textile firms operate to their conduct, and the two interconnected and distinct processes, sustainable transition and digital transition, with the business model innovation topic.

A Study on Spatiotemporal Dynamics and Spatial Dependence of Sound Source Perception in Fuzhou Historical and Cultural Districts

As a carrier of cultural characteristics of historic districts, the soundscape has unique advantages in shaping regional cultural personality, and mastering its spatiotemporal characteristics is crucial for preserving soundscape heritage with natural and humanistic environments as its kernel. Focusing on the Three Square and Seven Alleys historic and cultural district in Fuzhou, this paper analyzes the spatial and temporal patterns of the physical acoustic indicators of the soundscape, the spatial dependence of the sound source harmony, and the spatial relationship between the two. It was found that the physical acoustic indicators showed dynamic changes in spatial and temporal scales and reflect specific human activity and behavioral patterns; sound source harmony showed spatial autocorrelation in both global and local models, with prominent spatial characteristics; and the physical acoustic indicators may negatively affect soundscape perception. The study emphasizes the importance of the regional cultural connotation of soundscape in urban planning. It provides a scientific basis for the planning, designing, and managing of soundscape resources in historic and cultural districts and world heritage sites.

A study on deep learning model based on global–local structure for crowd flow prediction

Crowd flow prediction has been studied for a variety of purposes, ranging from the private sector such as location selection of stores according to the characteristics of commercial districts and customer-tailored marketing to the public sector for social infrastructure design such as transportation networks. Its importance is even greater in light of the spread of contagious diseases such as COVID-19. In many cases, crowd flow can be divided into subgroups by common characteristics such as gender, age, location type, etc. If we use such hierarchical structure of the data effectively, we can improve prediction accuracy of crowd flow for subgroups. But the existing prediction models do not consider such hierarchical structure of the data. In this study, we propose a deep learning model based on global–local structure of the crowd flow data, which utilizes the overall(global) and subdivided by the types of sites(local) crowd flow data simultaneously to predict the crowd flow of each subgroup. The experiment result shows that the proposed model improves the prediction accuracy of each sub-divided subgroup by 5.2% (Table 5 Cat #9)—45.95% (Table 11 Cat #5), depending on the data set. This result comes from the comparison with the related works under the same condition that use target category data to predict each subgroup. In addition, when we refine the global data composition by considering the correlation between subgroups and excluding low correlated subgroups, the prediction accuracy is further improved by 5.6–48.65%.

Examining the Linguistic Identity of Asia’s Latin City: A Content Analysis of Multilingualism of a Nonmetropolitan Cityscape

This investigation offers an extensive analysis and examination of the linguistic landscape of a nonmetropolitan cityscape, focusing on the linguistic identity and multiple languages used throughout the city. This study fundamentally analyzes the multilingual nature and characteristics of the central district of Zamboanga City. Furthermore, the investigation incorporated analytical categories, adapted from previous studies, which constituted the systematic foundation for gathering and selecting essential data from multiple sources throughout the city proper. The investigation revealed significant results and indicated that the cityscape contains six (6) languages that comprise its linguistic identity, specifically, English (51.25%), Filipino (23.36%), Chavacano (19.59%), Tausug (2.99%), Chinese (1.74%) and Bisaya (1.07%). To ensure the accuracy of the collected data, the photographs were analyzed through content analysis to examine the linguistic signage of the nonmetropolitan cityscape. Moreover, the study revealed that the cityscape employs monolingual (80.79%), bilingual (18.82%), and multilingual (0.39%) signages, highlighting the city’s commitment to providing universally accessible information and preserving cultural/linguistic heritage. The investigation also revealed that English is the dominant language found within the signage, proving its significance in promoting global development, internationalization and economic growth in the city. However, despite its prominence, both local (Chavacano) and national (Filipino) languages are also evident in the cityscape, which underscores the city’s mission to preserve its cultural and linguistic identity, indicating that the languages are linguistically represented. In addition, the cityscape employs both official and nonofficial signage, which underscores its importance in information dissemination and advertising local services and products to international clients.

Who’s the best? Investigating the NAMM Foundation’s “Best Communities of Music Education” awardees

The “Best Communities for Music Education” (BCME) award from the National Association for Music Merchants (NAMM) Foundation is intended to celebrate school districts committed to supporting music education. However, despite its over twenty-year history, little is known about the awardees themselves. The purpose of this study was to describe the characteristics of school districts that received NAMM’s BCME award in 2021 and 2022. We utilized publicly available data from NAMM and the National Center for Education Statistics (NCES) to analyze demographic data of 2021 and 2022 awardees along several categories. We also gathered and analyzed BCME lists from 2005–2020 to provide an insight on the frequency of repeat awardees. Findings show that awardees primarily represent suburban communities that skew more affluent, more educated, and more white than national averages. These findings may help interrogate conceptions of quality, highlight issues of inequity among school districts, and bring insight into policy tools underpinning public music education advocacy efforts.

Comparing Machine Learning and Time Series Approaches in Predictive Modeling of Urban Fire Incidents: A Case Study of Austin, Texas

This study examines urban fire incidents in Austin, Texas using machine learning (Random Forest) and time series (Autoregressive integrated moving average, ARIMA) methods for predictive modeling. Based on a dataset from the City of Austin Fire Department, it addresses the effectiveness of these models in predicting fire occurrences and the influence of fire types and urban district characteristics on predictions. The findings indicate that ARIMA models generally excel in predicting most fire types, except for auto fires. Additionally, the results highlight the significant differences in model performance across urban districts, indicating an impact of local features on fire incidence prediction. The research offers insights into temporal patterns of specific fire types, which can provide useful input to urban planning and public safety strategies in rapidly developing cities. In addition, the findings also emphasize the need for tailored predictive models, based on local dynamics and the distinct nature of fire incidents.

Influence of mining activities on hydrological processes in the mining district, Loess Plateau: insights from spatio-temporal variations of δD and δ18O

Under the influence of mining activities, investigating hydrological processes is an important cornerstone of water resources and eco-environment protection. In this study, the spatio-temporal variations of stable isotopic compositions (δD and δ18O) of river water and groundwater in five periods of a hydrological year were analyzed to identify the origin and hydraulic connection of water bodies in the mining district under mining disturbance. The δD and δ18O indicate that the water bodies in the study area are mainly recharged by local precipitation and undergo evaporation. There is a close hydraulic connection between river water, mine water, and groundwater, and the deep confined water is affected by the river water and phreatic water due to the developing water-conducting fractures. The δ18O of phreatic water in each period is depleted in the southwest and enriched in the northeast of the study area. The δ18O of confined water has an obvious spatial variation in the wet season due to the combined effects of opencast working and underground mining, whereas uniform spatial variation is observed in the dry season. Compared with the dry season, mining disturbances have a greater impact on river water and groundwater in the wet season. The difference in spatial variation of δ18O between phreatic and confined water may be attributed to the easier recovery of phreatic water than confined water after mining disturbance. This finding provides important information about the hydrological characteristics of the Pingshuo mining district.

An investigation of ADAS testing scenarios based on vehicle-to-powered two-wheeler accidents occurring in a county-level district in China

Abstract To meet the requirements for high-risk testing scenarios in the safety assessment of advanced driver assistance systems (ADASs), this study selected 239 vehicle-to-powered two-wheeler accidents occurring in Xiangtan County from the China In-depth Mobility Safety Study—Traffic Accident (CIMSS-TA) database. Seven scenario elements were selected from the levels of static road elements, dynamic traffic participants and environment elements. The accident characteristics were obtained through statistical analysis. The results showed that 75.73% of accidents occurred at T-junctions/intersections, and 34.73% were caused by visual obstructions. Six typical vehicle-to-powered two-wheeler crash scenarios were established by cluster analysis, including two straight road scenarios (scenarios 3 and 6), two T-junction scenarios (scenarios 1 and 5) and two intersection scenarios (scenarios 2 and 4). Furthermore, six vehicle-to-powered two-wheeler testing scenarios, which represent the traffic environment characteristics of Chinese county-level districts, were constructed by analysing the vehicle/powered two-wheeler speed, the first collision point of the vehicle, the obstacle type and location, etc. The results showed that the vehicle speed in scenario 4 was higher than that in scenario 2, with average values of 34.32 km/h and 21.99 km/h, respectively. The results of this study provide testing scenarios for the safety assessment of ADASs, and contribute to improving vehicle active safety technology.

Стратегические вызовы и возможности развития туризма малых городов России

The article analyzes the peculiarities and prospects of tourism development in small towns of Khanty-Mansiysk Autonomous Okrug – Yugra (KhMAO – Yugra), in particular the city of Langepas. The purpose of the work was to study the peculiarities and prospects of development of the tourism industry of the city of Langepas, which in accordance with the Strategy of socio-economic development of Khanty-Mansi Autonomous Okrug – Yugra until 2036 with target benchmarks up to 2050, as well as the Concept of development of tourist areas of Khanty-Mansi Autonomous Okrug – Yugra is included in the tourist territory of Nizhnevartovsk – Nizhnevartovsk municipal district – Megion – Langepas. In this regard, the development of tourism in the city of Langepas is inextricably linked with the tourist characteristics of the Nizhnevartovsk municipal district. The key feature of the tourist territory of Nizhnevartovsk – Nizhnevartovsk Municipal District – Megion – Langepas is its industrial character, the main part of exploited oil fields is located here. The main objects of the social framework of the city of Langepas are: architectural ensembles, monuments of architecture, sculptural compositions, social and cultural facilities: museums, cultural centers, sports facilities. In the course of studying the official sites of the city, regulatory and legal framework in the field of tourism development, statistical information on the subject of the study, the key problems, features, “points of growth” and prospects for the development of the tourist complex of the city were identified. Based on the analysis, the author concludes that in the course of creating an effective system for promoting the city’s tourism product, it is necessary to focus on three components: brand strategy, management of tourism product promotion, and provision of financial resources for its implementation. According to the results of the proposed measures, the number of tourists accommodated in collective accommodation facilities of the city should reach 5.6 thousand people by the end of 2030.

Understanding differential reductions in undernutrition among districts in Rwanda through the perspectives of mid-level and community actors on policy commitment and policy coherence.

Understanding the drivers of improvements in child undernutrition at only the national level can mask subnational differences. This paper aimed to understand the contributions of factors in the enabling environment to observed differences in stunting reduction between districts in Rwanda. In 2017, we conducted 58 semi-structured interviews with mid-level actors (n = 38) and frontline workers (n = 20) implementing Rwanda's multi-sectoral nutrition policy in five districts in which stunting decreased (reduced districts) and five where it increased or stagnated (non-reduced districts) based on Rwanda's 2010 and 2014/15 Demographic and Health Surveys. Mid-level actors are government officials and service providers at thesubnational level who represent the frontline of government policy. Interviews focused on political commitment to and policy coherence in nutrition, and contributors to nutrition changes. Responses were coded to capture themes on the changes and challenges of these topics and compared between reduced and non-reduced districts. Descriptive statistics described district characteristics. Political commitment to nutrition was high in both reduced and non-reduced districts. Respondents from reduced districts were more likely to define commitment to nutrition as an optimal implementation of policy, whereas those from non-reduced districts focused more on financial commitment. Regarding coherence, respondents from reduced compared to non-reduced districts were more likely to report the optimal implementation of multi-sectoral nutrition planning meetings, using data to assess plans and progress in nutrition outcomes and integration of nutrition into the agriculture sector. In contrast, respondents from non-reduced districts more often reported challenges in their relationships with national-level stakeholders and nutrition and/or monitoring and evaluation capacities. Enhancing the integration of nutrition in different sectors and improving mid-level actors' capacity to plan and advocate for nutrition programming may contribute to reductions in stunting.

More Options, but Less Willing to Cast a Valid Vote: Evidence From Electoral Reform in Chile

How do large-magnitude proportional systems affect invalid voting? We evaluate a Chilean electoral system reform that introduced proportionality. Voting is voluntary, and legislative and presidential elections are held concurrently. We compare the invalid votes between different types of elections before and after the reform using various difference-in-differences strategies. We find that invalid voting increased in legislative compared to presidential elections (pre-trends were parallel). The increase in invalid voting is greater in post-reform districts with higher magnitude and is not due to pre-reform district characteristics. The results of heterogeneity analyses and a survey experiment suggest the mechanism behind these findings is the cognitive burden associated with a longer ballot. This research highlights an understudied aspect of electoral systems: higher district magnitudes may be demobilizing in terms of valid voting for citizens who are more vulnerable to cognitive burden, even among those motivated enough to vote in the first-order election.

Characteristics of the health districts in Italy and their implication in primary health care policies: an analysis of socio-demographic trends.

The Health District (HD) is a critical component of Italy's National Health Service, responsible for ensuring Primary Health Care (PHC) services in response to community health needs. The Italian government established a national strategic reform program, the National Recovery and Resilience Plan (PNRR), starting in 2022, with a series of health interventions to reorganize the PHC setting, the main reform being the Ministerial Decree 77/2022 (DM77). Our study aimed to provide a description of socio-demographic data and to assess the correlation between HDs, in order to suggest health intervention priorities in PHC reforms. We conducted our analysis using a cross-sectional record linkage of data from multiple sources to compare organizational and socio-demographic variables. A dataset was created with each of the 21 Italian Regions' HDs data of population, land area, mean age, ageing index, old-age dependency ratio, birth rate and death rate. The Inland Areas Project data was integrated for a socio-economic perspective. Our study identified comparable groups of HDs, considering demographical, socio-economic and geographical aspects. The study provides a baseline understanding of the Italian situation prior to the implementation of DM77. It also highlights that inhabitants number cannot be the only variable to take into account for the definition of Italian HDs organisation and PHC reform, providing intercorrelated variables that take into account geographic location, demographic data, and socio-economic aspects. By acknowledging the interplay of demographic, socio-economic, and geographic factors, policymakers can tailor interventions to address diverse community needs, ensuring a more effective and equitable PHC system.