A Spatial Accessibility Study of Public Hospitals: A Multi-Mode Gravity-Based Two-Step Floating Catchment Area Method
Abstract
:1. Introduction
2. Related Work
2.1. Two-Step Floating Catchment Method
2.2. Multi-Mode Two-Step Floating Catchment Area Method
3. Materials and Methods
3.1. Design of Multi-Mode Gravity-Based Two-Step Floating Catchment Area Method
3.2. Standardized Gravity Model
3.3. Study Area
3.4. Data Collection and Preprocessing
3.4.1. Population Data
3.4.2. Public Hospital Data
3.4.3. Residential Travel Data
3.4.4. Basic Geographic Information Data
3.5. Overall Workflow
4. Results
4.1. Coefficient Test of the MM-G2SFCA Method
4.2. Comparative Analysis of the Traditional Gravity Model MM-G2SFCA and the Standardized Gravity Model MM-G2SFCA
4.3. Improved Effectiveness of the MM-G2SFCA Method
4.4. Spatial Distribution Characteristics of Public Hospital Accessibility in Shenzhen
5. Discussion
5.1. Advantages of the MM-G2SFCA Method and the Standardized Gravity Model
5.2. Limitations and Future Research
5.3. Policy Implications
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Data Type | Data Description | Data Characteristics | Accessibility Relevance |
---|---|---|---|
OD Data | Data on the origin and destination of individual trips | Directly includes time and spatial costs, and its distribution can directly reflect the accessibility of different regions under corresponding transportation modes | High |
Travel Data | Proportion of residents’ travel modes within a region obtained through statistics, interviews, or calculations | Provides an intuitive reflection of residents’ choice of transportation modes but does not include destination information | Medium |
Passenger Volume Data | Data on the passenger volume carried by various transportation modes within a region or on roads | Represents the passenger capacity of each transportation mode, reflecting residents’ travel modes to a certain extent | Low |
Travel Mode | Walking | Bicycle | Electric Bicycle | Rail Transit | Bus | Taxi | Private Car |
---|---|---|---|---|---|---|---|
Percentage | 46.7% | 4.0% | 7.1% | 8.4% | 12.5% | 4.0% | 17.3% |
Area | Maximum | Minimum | Mean | Median | Standard Deviation |
---|---|---|---|---|---|
Within the metropolitan core area | 0.21300 | 0.01582 | 0.08699 | 0.07287 | 0.05093 |
Outside the metropolitan core area | 0.19086 | 0.00038 | 0.03701 | 0.03361 | 0.02393 |
Shenzhen citywide | 0.21300 | 0.00038 | 0.06129 | 0.04388 | 0.04704 |
District | Gini Coefficient | District | Gini Coefficient |
---|---|---|---|
Yantian | 0.277 | Bao’an | 0.307 |
Nanshan | 0.207 | Dapeng | 0.308 |
Luohu | 0.198 | Pingshan | 0.200 |
Longhua | 0.229 | Futian | 0.171 |
Longgang | 0.235 | Guangming | 0.156 |
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Sun, S.; Sun, Q.; Zhang, F.; Ma, J. A Spatial Accessibility Study of Public Hospitals: A Multi-Mode Gravity-Based Two-Step Floating Catchment Area Method. Appl. Sci. 2024, 14, 7713. https://doi.org/10.3390/app14177713
Sun S, Sun Q, Zhang F, Ma J. A Spatial Accessibility Study of Public Hospitals: A Multi-Mode Gravity-Based Two-Step Floating Catchment Area Method. Applied Sciences. 2024; 14(17):7713. https://doi.org/10.3390/app14177713
Chicago/Turabian StyleSun, Shijie, Qun Sun, Fubing Zhang, and Jingzhen Ma. 2024. "A Spatial Accessibility Study of Public Hospitals: A Multi-Mode Gravity-Based Two-Step Floating Catchment Area Method" Applied Sciences 14, no. 17: 7713. https://doi.org/10.3390/app14177713