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Human Geography in an Uncertain World: Challenges and Solutions

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 716

Special Issue Editors


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Guest Editor
Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875, China
Interests: nonlinear dynamics; time series analysis; multiscale modeling; multi-scale analysis of geophysical and geographic data; medical informatics; quantitative research on social, economic and financial complexity
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Guest Editor
Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875, China
Interests: regional development; transport infrastructure; central–local relations in China

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Guest Editor
Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875, China
Interests: transport geography; spatial optimization

Special Issue Information

Dear Colleagues,

With continued global warming, more frequent extreme weather, natural disasters, and international conflicts happening worldwide and amidst widespread economic recession and deglobalization, humankind is entering an era of unprecedented uncertainty. Human geography, which traditionally studies the spatial relationships between human communities, cultures, economies, and their interactions with the environment, is facing emerging challenges. It is pressing for global scholars to provide a deeper understanding of the many problems facing the world today and offer innovative solutions. This Special Issue aims to help achieve this goal. Topics of interest include but are not limited to the following:

  • Interplay between free market competition and urban planning; 
  • Human–environment interactions and sustainability;
  • Transport infrastructure development and spatial impacts;
  • Social segregation and social equity;
  • Transformation of urban structure;
  • Restructuring supply chain of global industrial;
  • Cultural integration and conflict;
  • Environment and health;
  • Innovation geography and regional growth;
  • Geopolitics through the lens of big data.

Prof. Dr. Jianbo Gao
Dr. Mengmeng Zhang
Dr. Teqi Dai
Guest Editors

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Keywords

  • sustainability
  • urban planning
  • social equity
  • supply chain restructuring
  • innovation geography
  • human-environment interactions
  • spatial impacts
  • cultural integration
  • geopolitics
  • big data

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Published Papers (1 paper)

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Research

21 pages, 11742 KiB  
Article
A Spatial Accessibility Study of Public Hospitals: A Multi-Mode Gravity-Based Two-Step Floating Catchment Area Method
by Shijie Sun, Qun Sun, Fubing Zhang and Jingzhen Ma
Appl. Sci. 2024, 14(17), 7713; https://doi.org/10.3390/app14177713 - 1 Sep 2024
Viewed by 414
Abstract
The multi-modal two-step floating catchment area (MM-2SFCA) method is an extension of the two-step floating catchment area (2SFCA) method that incorporates the impact of different transportation modes, thereby facilitating more accurate calculations of the spatial accessibility of public facilities in urban areas. However, [...] Read more.
The multi-modal two-step floating catchment area (MM-2SFCA) method is an extension of the two-step floating catchment area (2SFCA) method that incorporates the impact of different transportation modes, thereby facilitating more accurate calculations of the spatial accessibility of public facilities in urban areas. However, the MM-2SFCA method does not account for the impact of distance within the search radius on supply–demand capacities, and it assumes an idealized supply–demand relationship. This paper introduces the gravity model into the MM-2SFCA method, proposing a multi-modal gravity-based 2SFCA (MM-G2SFCA) method to better account for distance decay and supply–demand relationships. Furthermore, a standardized gravity model is proposed based on the traditional gravity model. This model imposes constraints on upper and lower limits for distance decay weights without compromising the fundamental curve characteristics of the gravity model, thereby avoiding extreme weight scenarios. The accessibility of public hospitals in Shenzhen is evaluated through the integration of basic geographic information data, resident travel data, and official statistical data. The findings demonstrate that the standardized gravity model effectively addresses the issue of excessively high local distance weights in the traditional gravity model, making it more suitable as a distance decay function. The MM-G2SFCA method improves the consideration of distance and supply–demand relationships, thereby facilitating a more rational distribution of accessibility on a global scale. This study discovers differences in the spatial allocation of public hospital resources across the Shenzhen’s districts. Accessibility within the metropolitan core is significantly higher than that outside the core. Additionally, there is a notable difference in the level of accessibility among the districts. Accessibility is found to be better in district centers and along the main traffic arteries. Full article
(This article belongs to the Special Issue Human Geography in an Uncertain World: Challenges and Solutions)
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