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Harnessing Big Data in Urban Public Space

Analytics and Evaluation

  • 2025
  • Book
  • 1. edition

About this book

This book advocates new and advanced methods of big data technology so as to analyze the current status of the public space development in China. In the eight chapters of this book, it introduces the theories to develop urban public space, the tools for analytics and evaluation, the cases from China especially Shanghai and global. With analytics and evaluation tools for its scale, space layout, and planning, it aims to improve the quality, efficiency and balanced development of public services such as healthcare and elementary education, serving as the reference and support for decision-making of governments.

Table of Contents

  1. Frontmatter

  2. Chapter 1. Introduction

    Wanzhen Chen, Xue Wang
    This chapter delves into the concept and connotation of urban public services, emphasizing their role in sustainable city development amidst rapid urbanization. It highlights the challenges posed by urbanization, such as traffic congestion, air pollution, and insufficient public service supply, and the need for equitable access to basic public services. The text explores the potential of big data and advanced technologies like artificial intelligence, machine learning, and deep learning in optimizing the allocation of urban public services. It discusses the integration of multi-source big data, including crowdsourcing data, to provide real-time, comprehensive, and accurate information for urban governance. The chapter also presents a case study of Shanghai, analyzing the current state of urban public services and proposing strategies for improvement. It concludes with the scientific significance of evaluating urban public service capacity and the practical implications for policy-making and urban planning. Readers will gain insights into the importance of urban public services, the transformative power of big data, and the strategies for achieving equitable and efficient service allocation in rapidly urbanizing cities.
  3. Chapter 2. Theoretical Foundations and Research Review

    Wanzhen Chen, Xue Wang
    This chapter delves into the theoretical foundations and research review of basic public services, focusing on their types, characteristics, and spatial allocation. It explores the core concept of strengthening urban and rural public facilities and developing public services such as education, science, technology, culture, health, and sports. The text discusses the 13th Five-Year Plan for Promoting the Equalization of Basic Public Services and the varying perspectives of scholars on the types and characteristics of basic public services. It also examines the evolution of public service theories, from Keynesianism to neoliberalism, and the impact of these theories on public service policies. The chapter highlights the importance of spatial equity and justice in public service provision and reviews relevant research on the accessibility and fairness of public service facilities. Additionally, it discusses the influencing factors of public service facility allocation and the evaluation of single types of public services, such as education and healthcare. The text concludes with a summary of the development trends and characteristics of urban public service facilities.
  4. Chapter 3. Hot Issues in Urban Public Services and International Experience

    Wanzhen Chen, Xue Wang
    This chapter delves into the development status and characteristics of urban public services in China, with a particular focus on Shanghai. It highlights the rapid growth and increasing significance of urban community public services since the reform and opening up, while also addressing the prominent problems in the supply of these services. The chapter examines the goals and achievements outlined in various national plans, such as the 12th and 13th Five-Year Plans for the National Basic Public Service System, and the Guiding Opinions on Establishing and Improving the Basic Public Service Standard System. It also explores the administrative functions of community residents’ committees and the challenges they face, including unbalanced allocation, insufficient resources, and low efficiency. The text provides a detailed analysis of the development status and problems of urban public services in Shanghai, including the basic situation of the city, its administrative map, and the key districts. It discusses the gaps in social development among regions, urban and rural areas, and different groups, as well as the rapid increase in the migrant population and the diversification of social demands. The chapter also highlights the need to enhance the efficiency of spatial allocation of basic public services. Furthermore, the text explores the experiences and implications of basic public service construction outside China, drawing insights from Western developed countries, emerging industrialized countries, and developing countries. It analyzes the policy orientations, system designs, specific standards, and implementation methods of various countries, providing valuable lessons and inspirations for the construction of public services in China. The chapter concludes with recommendations for Shanghai to develop different population strategies based on its unique characteristics, learn from the experiences of international metropolises, optimize the allocation of public services, and gradually achieve equal access to basic public services.
  5. Chapter 4. Distribution and Characteristics of Urban Public Service Resources: Data Processing and Analysis

    Wanzhen Chen, Xue Wang
    This chapter delves into the distribution and characteristics of urban public service resources in Shanghai, utilizing a variety of advanced data processing and analysis methods. The study categorizes basic public services into six types: educational services, medical services, cultural services, ecological environment services, life services, and social security services. By employing techniques such as the two-step moving search method, spatial autocorrelation, and kernel density estimation, the research assesses the spatial distribution and accessibility of these services. The analysis reveals significant regional differences in the distribution of public service facilities, with Pudong New Area having the highest proportion and Chongming District the lowest. The study also highlights the effectiveness of the Bayesian Maximum Entropy method in integrating multi-source data to predict population distribution accurately. Additionally, the chapter explores the fine-grained distribution characteristics of the urban population based on big data, providing insights into the spatiotemporal patterns of population density. The findings offer valuable data support for further planning the distribution of urban public service facilities, aiming to enhance the equity and efficiency of service delivery in Shanghai.
  6. Chapter 5. Evaluation of Urban Public Service Supply Capacity

    Wanzhen Chen, Xue Wang
    This chapter delves into the evaluation of urban public service supply capacity in Shanghai, focusing on the accessibility and spatial agglomeration characteristics of various public service facilities. The study employs advanced GIS spatial analysis methods to assess the spatial distribution and accessibility of medical, educational, cultural, living, social security, and ecological environment service facilities. Key findings reveal significant disparities in the accessibility of these services across different districts, with the central urban areas generally having higher accessibility compared to the suburbs and outer suburbs. The chapter highlights the concentric distribution pattern of medical service facilities, with high accessibility areas concentrated in the central urban area and central towns of the suburbs. It also discusses the spatial agglomeration characteristics of different service facilities, identifying areas with high and low accessibility. The study concludes with recommendations for improving the spatial layout and planning of public service facilities to achieve more equitable distribution and enhance the overall public service supply capacity in Shanghai. By reading this chapter, professionals will gain a deeper understanding of the spatial dynamics of public service provision and the importance of addressing regional disparities to ensure fair access to essential services for all residents.
  7. Chapter 6. Evaluation of Equalization of Public Service Resources

    Wanzhen Chen, Xue Wang
    This chapter delves into the spatial distribution and equalization of public services in Shanghai, utilizing advanced methods such as Kernel Density Estimation and Thiessen Polygon Analysis. The study evaluates the distribution of educational, medical, cultural, living, ecological, and social security services, revealing significant regional differences. Educational and medical services are densely concentrated in central urban areas, with a decreasing trend towards the suburbs. Cultural and ecological services exhibit a 'point-like' distribution, while living and social security services show a concentric circle structure. The analysis identifies multiple agglomeration centers and highlights disparities in service provision. The population matching index further illustrates the relationship between service facilities and population density, indicating areas with well-matched and poorly matched services. The chapter concludes that while central urban areas have higher service densities, suburban and outer suburban areas often lack adequate facilities, emphasizing the need for balanced urban planning.
  8. Chapter 7. Factors Affecting Urban Basic Public Services and Analysis of Typical Cases

    Wanzhen Chen, Xue Wang
    This chapter examines the factors influencing the spatial accessibility of basic public services in urban areas, with a focus on Shanghai. The analysis reveals that per capita income and per capita fixed assets are significantly correlated with the average accessibility time of public services. Higher income levels improve accessibility, while increased fixed assets may lead to reduced fiscal expenditure on public services. The study also compares the development of basic public services in Xuhui and Jiading districts, highlighting the differences in educational and medical resources. Xuhui District, with its historical advantages and better transportation infrastructure, boasts more tertiary hospitals and educational institutions. In contrast, Jiading District, with its larger population and ongoing urbanization, faces challenges in meeting the demand for educational resources. The chapter concludes that strengthening the construction of basic public services in suburban areas, improving transportation networks, and rationalizing resource allocation are crucial for achieving balanced urban development. By exploring these factors and presenting detailed case studies, this analysis offers valuable insights into the complexities of urban public service development.
  9. Chapter 8. Conclusions and Strategies

    Wanzhen Chen, Xue Wang
    This chapter delves into the spatial distribution patterns and service scopes of basic public services in Shanghai, highlighting significant regional differences. It reveals that service facilities are more concentrated in the central urban area, with accessibility decreasing towards the outer suburbs. The study identifies five key topics: the spatial distribution patterns of various public service facilities, the hierarchical center points and service scopes, regional differences in accessibility, spatial agglomeration characteristics, and the correlation analysis of influencing factors. Notably, the research concludes that higher per capita income correlates with increased accessibility to basic public services, while higher per capita fixed assets may lead to lower accessibility due to insufficient fiscal expenditure. The chapter also offers strategic suggestions for improving public service capabilities, such as integrating spatiotemporal big data and GIS models, establishing an integrated urban-rural public service resource allocation mechanism, and promoting urban-rural integration and balanced development. Additionally, it discusses the importance of strengthening community and public service facilities, building a more perfect fiscal system, and establishing a diversified range of community public service providers. The study acknowledges its limitations and suggests future research directions, including comprehensive evaluations of public service capacity and the use of system dynamics and deep learning models for predictive analysis.
Title
Harnessing Big Data in Urban Public Space
Authors
Wanzhen Chen
Xue Wang
Copyright Year
2025
Publisher
Springer Nature Singapore
Electronic ISBN
978-981-9681-38-9
Print ISBN
978-981-9681-37-2
DOI
https://doi.org/10.1007/978-981-96-8138-9

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