Urban Public Management Research Articles

Optimization Method for Sustainable Development of Smart City Public Management Based on Big Data Analysis

With the acceleration of the urbanization process, the traditional urban management has become increasingly unable to meet the needs of urban management and development. At the same time, with the rapid development of artificial intelligence (AI) and big data (BD), the use of AI and BD to analyze cities has been gradually emerging. Therefore, this paper used AI and BD to study the optimization method of sustainable development of smart city public management. The research showed that the respondents in N, Z, and S cities were 60.67%, 60.07%, and 60.31% satisfied with the handling of events by urban public management subjects, respectively. The experts' evaluation scores on the feasibility and effectiveness of urban public management optimization strategies were 88.79 and 92.82, respectively. The public's satisfaction with the smart city public management subject's handling of events was still not high enough. The optimization strategy for sustainable development of smart city public management proposed in this paper with BD had certain practical value.

Retracted: Evaluation Analysis and Key Index System Construction of Urban Public Management Service Quality Based on Grey Judgment Method

Retracted: Evaluation Analysis and Key Index System Construction of Urban Public Management Service Quality Based on Grey Judgment Method

Evaluation Analysis and Key Index System Construction of Urban Public Management Service Quality Based on Grey Judgment Method

The development of today’s society has entered an era dominated by technology and efficiency, leading enterprises and governments to overemphasize the role of efficiency in the process of rapid development, while ignoring the fundamental goal of social development. The degree of urbanization has increased significantly, but the problems existing in the city are becoming more and more serious, especially the neglect of public services, which has caused great dissatisfaction. This paper firstly compares and synthesizes the performance of several methods to obtain that the grey judgment method is more suitable for this paper; that is, the grey judgment method is used to analyze the evaluation of urban public management service quality and to construct the key index system. The two-level indicators are all in line with the standard after screening the indicators by the method; the first-level indicators have the largest weight in the assess of the quality of urban common management services, and equipment management is considered to be the most important, followed by cultural construction, emergency management, greening management, and sanitation management; among the secondary indicators, the public health portfolio has the largest weight value, with a combined weight of 0.0989, followed by timely maintenance, quality of green vegetation, accident treatment, water and sewage treatment, natural disaster treatment, maintenance quality, garbage disposal, daily maintenance, the quality of cultural facilities, the daily maintenance of greening, and the quality of cultural activities; experts scored the indicators to get the highest score for equipment management, with a score of 0.7799, followed by emergency management, sanitation management, greening management, and cultural construction. By examining the quality of urban public services, it can more respond to the needs of national for public serving, and it can more effectively facilitate the future growth of the town and improve the overall level of community services.

Control of invasive alien species: The Giant African snail (Lissachatina fulica) a difficult urban public management challenge

In view of the population growth trends and urbanization processes, one of the current challenges is the surveillance and control of invasive alien species within urban settings, particularly of those species that can serve as vectors or reservoirs of diseases with the potential to affect human health. In this regard, the present study evaluated the public management for the surveillance and control of African snails (Lissachatina fulica) in the city of Santiago de Cali in Colombia between 2016 and 2019 and proposed minimum guidelines for their surveillance and effective control in the urban settings of developing countries. The Giant African snails can be intermediate hosts of various microorganisms that have a great impact on urban public health. The latter may include parasitic, viral, bacterial, and fungal diseases, which are transported by the snail to homes or nearby areas exposing humans and animals to contagion. In the Colombian case the most important are Angiostrongylus parasites, which can cause eosinophilic meningoencephalitis, gastrointestinal disorders in humans and pulmonary hemorrhage in dogs. However, it is also possible that the same snails carry other nematodes such as Aleurostrogylus which can affect cats and dogs in urban areas. Comprehensive actions are required to address the problems related to urban invasive species such the African snail in Santiago de Cali as well as to develop environmental public policies and implement through municipal and state public management. We concluded that government action should be supported by reliable data to identify cases in situ, and to determine pest, environmental, and ecoepidemiological variables. Qualitative and quantitative data analyses will contribute to effective decision-making and the development of control protocols designed for each specific urban scenario.

Research on Public Management Application Innovation Based on Spark Big Data Framework

Public management service is the key to urban intelligent construction. This paper proposes an analysis method and model based on Spark big data framework and takes resident income, happiness index, urban planning, and ecological environment as the indicators of Spark big data. From the high difficulty of Spark big data cluster analysis of urban public management, we build the index weight by the entropy weight method, optimize the similarity calculation, and achieve the rapid understanding of urban public management. Subsequently, the Spark big data public management platform is applied to the public management of Beijing. The results indicate that the public management platform based on Spark big data framework can improve the public management level of the city and help to build an intelligent city.

Optimal Administrative Response to Selfish Behaviors in Urban Public Management: The Role of Zero-Determinant Strategies

City management involves complex interactions between the manager (administrator), who supervises urban appearance and environmental sanitation, and the managed (speculator), who works in urban areas and is subject to management ordinances. This article provides an iterated game framework for analyzing the extent to which zero-determinant strategies can be used to optimize the intensity decision of supervisory action against municipal code violations, thus enhancing administrative efficiency. To account for characteristics of the public affairs context, it is assumed that each player in our model chooses from a finite set of discrete and random courses of game strategy. As our model constitutes a major extension to the seminal Press and Dyson (2012) model, we resort to the theory of stochastic process to prove the existence of multiple zero-determinant strategies when players can adopt many strategies in the iterated game. Various numerical examples are presented to validate such strategies’ optimality. Our finding is that, given the probability of adopting a particular strategy, an urban administrator can unilaterally (i) set the speculators’ expected payoff to a level equaling to the opportunity cost of abiding by the law and (ii) let their own expected surplus payoff exceed the speculators. Finally, important policy implications can be derived based on these analyses and conclusions.

Application of Image Recognition Algorithm Based on Partial Differential Equation and Wavelet Transform in the Intelligent Linkage System of Government Urban Public Management

In the Internet age, social needs have become more diverse. The private sector has achieved great success in integrating resources to provide services to customers thanks to technological breakthroughs such as mobile Internet and big data, while the public sector has become even more dwarfed. The public sector urgently needs new theoretical support to integrate administrative resources more effectively, so as to provide the public with one-stop, holistic and seamless services as a whole. The “holistic governance” theory effectively responded to the abovementioned problems and gradually condensed the consensus of the academic and practical circles and became the most influential theory. The method of mathematical modeling is used to combine the improved wavelet domain Wiener filter and the comprehensive model of partial differential equations. This paper proposes an image recognition algorithm based on partial differential equations and wavelet transform. The algorithm uses weight coefficients to organically combine high-order partial differential equation models, retains the advantages of the second- and fourth-order partial differential recognition models, effectively improves the ability to maintain image edge detail information, and achieves better recognition results. This article starts with the description of the fragmentation of a street’s grassroots governance and sorts out the process of implementing overall governance with the “big linkage mechanism” as the main carrier. Due to the limitations of research ability and objective conditions, this article intercepts the “cross-section” of the big linkage mechanism in a certain street to demonstrate it and analyzes this “cross-section” more thoroughly. The experimental results of the data show that the image recognition algorithm based on partial differential equations and wavelet transform is effective and practical in the intelligent linkage system of the government urban public management.

Optimization and Matching Scheme of Public Management Resources for Industry 4.0 and Smart City

With the development of Big Data, Industry 4.0, and other technologies, the concept of smart city has become a new goal, new concept, and new practice of many urban developments. It provides a method to solve the problem that public management cannot optimize resources in China’s urban development and puts forward a supporting scheme more in line with the optimization of public management resources. Effective use of relevant supporting schemes can improve urban public management capacity, optimize resources, and promote the city to embark on the road of scientific development. This paper starts with the multiobjective optimization algorithm to optimize the matching of public resources and realize the effective utilization of public management resources. Using particle swarm optimization algorithm, the optimal allocation management of 8 kinds of resources in this paper is carried out, and the optimization analysis is carried out from the performance indexes, such as resource allocation time and configuration complexity. Finally, the weights of the eight resources in importance, complexity, and resource demand are 0.4, 0.4, and 0.2, respectively. The proposed method realizes the classification of resources and the optimal matching of resources.

Colapso de la red de drenaje y repercusiones urbanas en la zona costera de Acapulco, México, derivados de la tormenta tropical Manuel, 2013-2020

El motivo de realizar el siguiente artículo de investigación, parte del objetivo de evidenciar y criticar la falta de estrategias en los procesos de gestión pública urbana llevadas a cabo por el Municipio de Acapulco, relacionadas con la infraestructura urbana y enfocadas con la saturación de la red de drenaje tras el paso de fenómenos hidrometeorológicos como lo acontecido después de la tormenta tropical Manuel, misma que impactó la zona costera de Acapulco en el año 2013, es por ello que se analizaron problemáticas ambientales-urbanas, mismas que se relacionan con afectaciones a la población, particularmente con el colapso de la red de drenaje, problemática que actualmente se sigue presentado en dicha zona costera, misma que deberá resolverse de manera inmediata, ya que la población se encuentra vulnerable debido al bajo nivel socioeconómico, lo cual afectará directamente a su grado de recuperación.

O Estado capitalista e a gestão da política urbana neoliberal

Este artigo pretende discutir a complexa relação entre Estado e capital na produção do espaço urbano no Brasil, a partir do instrumento de indução do desenvolvimento urbano “Operação Urbana Consorciada” (OUC). Para isso, o caminho escolhido busca afastar-se de uma leitura simplória e dogmática, ofuscada por uma visão abstrata de um Estado burguês. São acionados conceitos e interpretações da teoria marxista que permitem a relativização da ideia de Estado, considerando o seu caráter classista seletivo na escolha de políticas e sua variável do equilíbrio de forças. Conceitos como “autonomia relativa” e “governança empreendedorista” são retomados como aporte à compreensão da atuação do Estado em meio às necessidades de acumular e de se legitimar na esteira das formas recentes da gestão pública urbana. A OUC, objeto de estudo deste artigo, é problematizada a partir de seus limites em constituir-se em um instrumento redistributivo agenciado pelo capital privado, coordenado pelo Estado e inserido, ao mesmo tempo, no contexto de uma política pública de matrizes progressistas. Por fim, são feitas considerações sobre uma possível influência dos diversos atores em torno do instrumento e suas manifestações passíveis de serem interpretadas pela teoria marxista.

COMP: Online Control Mechanism for Profit Maximization in Privacy- Preserving Crowdsensing

As a novel sensing paradigm, crowdsensing has gained great attention due to large-scale user participation, low cost and wide data source, replacing traditional sensor based sensing in intelligent transportation, environmental monitoring, urban public management, etc. In crowdsensing, however, user privacy leakage is a common but fatal problem, where the participants in crowdsensing might not provide their data if their sensing data expose their personal private information or even lead to malicious attacks. Additionally, it is still challenging for the platform to consider the randomness of sensing task arrival, the dynamic participation of participants and the complexity of task allocation. To this end, an online control mechanism is presented to maximize the profit of platform while guaranteeing system stability and providing personalized location privacy protection. By exploiting Lyapunov optimization theory, we transform the optimization problem into a queue stability problem, decomposing it into three subproblems further. Through rigorous theoretical analysis, we prove that our time-averaged profit is approximately optimal. We also carry out extensive simulations to verify the superiority of our proposed mechanism.

Urban Risk Generalization in China: Space and Governance*

As an issue in Chinese urban development, handling urban risk generalization invites reflection on the structural features and internal development of the immediate or potential risks entailed in rapid urbanization across the globe. As part of research on national governance modernization, China has reached a consensus on managing urban risks. A study of spatial theory indicates that urban risk generalization in China is essentially a structural issue arising from an immature system of generalized benefits in urban space rights and interests along with an unbalanced spatial structure, functional disarray and ecological disruption arising from inequitable and unbalanced urban spatial development, readjustment and renovation. As an innovative form of modern urban public management with its target shifting from the pursuit of material things to people-centered development, spatial management enlists actors including government, business, society and citizens to seek a “community of shared spatial interests” with a rational structure, effective functions and an optimized environment at the level of spatial production and interest distribution. We need innovation in the spatial structures, drivers and mechanisms of urban public management and cultural ecology to realize their institutionalization, synthesis and reordering, strategically forestalling and resolving urbanization risks and realizing a spatial governance vision of the scientific, fair and sustainable allocation, growth and renovation of urban space in the risk era.

PRO-ENVIRONMENTAL BEHAVIOR AND RECYCLING: LITERATURE REVIEW AND POLICY CONSIDERATIONS

Abstract The environmental scenario requires the participation of the society in the integration of individual responsibilities to the political action. The recycling pro-environmental behavior contributes to the proper disposal of solid waste, a major challenge in urban public management. The article aims to analyze the scientific production of the pro-environmental behaviors and recycling in order to weave notes that promote behavioral changes provided for in public policies. The PsycINFO, Scielo and EBSCOhost databases were consulted using the keywords: environmental attitudes, pro-environmental behavior and recycling. We selected 51 articles, among which predominated the investigation into motivation to recycle behavior, influence of social network and social norms. Environmental attitudes and behavior to recycle have shown to be related to social norms, motivation, identity, altruism and awareness; these should be considered when planning public policies and environmental awareness actions.

From possession to use — An Interview with Dajian Zhu on sharing economy and sharing city

With the increasing influence of sharing economy in China and throughout the world, its definition, objectives, and development methods have become one of the topics for the science of urban public management. This interview points out that the sharing economy has emerged under the background of the transition of consumer society from possession-orientation to use-orientation, and the revolution of consumption mode and lifestyle with an ultimate aim of improving the efficiency and well-being. As a result, in China’s urbanization process which is now shifting from incremental planning to inventory planning, the key for urban development lies in the promotion of the sharing economy and achieving maximum utility with minimum material possession.

Present-day capitalist urbanization and unequal disaster risk production: the case of Tigre, Buenos Aires

This paper describes recent urban transformations in flood-prone areas on the outskirts of Buenos Aires that, prompted by a convergence of public–private interests, ignore the adverse consequences they generate and produce deeply unequal exposure to disaster risks. To illustrate these processes and their spatial results, the paper looks at the case of the municipality of Tigre, located to the north of the metropolis. I analyse the most substantive changes in public urban management and implementation of water management projects that have tended over recent decades to facilitate the operation of real estate/financial capital, through the development of degraded flood-prone risk areas that has made these the subject of dispute between antagonistic social groups.

Key Technique Research and Application of Public Urban Management Interaction Based on Augmented Reality

The project is mainly to study the mobile terminal application of public interaction urban management process based on augmented reality ( AR ) technology. In the real three-dimensional interactive process, using the augmented reality technology , such as: image recognition, position location, object recognition and tracking technology. According to the tracking, positioning and calibration technology, we complete the detection of the position and orientation, and transmit data to the mobile terminal to enhance the augmented reality ( AR ) system. In this system the coordinates of tracked objects in the real world and the in the virtual world were unified to achieve seamless integration of the virtual world and the user environment , so that the reality and virtual information can achieve continuous interaction