Understanding urban hospital bypass behaviour based on big trace data
Bibliographic Data
| ID | 11458162 |
|---|---|
| Authors | Jie Gao (0000-0002-9523-4541, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing), Xue Yang (0000-0001-9747-6467, China University of Geosciences, corresponding author), Luliang Tang (0000-0003-3523-8994, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, corresponding author), Chang Ren (0000-0003-1760-0865, Wuhan University), Xia Zhang (0000-0002-7344-9808, Wuhan University), Qingquan Li (0000-0002-2438-6046, Shenzhen University) |
| Year | 2020 |
| Volume | 103 |
| Pages | 102739 |
| Publication date | 2020-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cities (JOURNAL) |
| Journal identifiers | ISSN: 0264-2751 • E-ISSN: 1873-6084 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.cities.2020.102739 |
| OpenAlex | W3024882659 |
| Language | EN |
| Citations received | 5 |
| References cited | 41 |
Family medicine · Geography · Medical emergency · Scale (ratio · Specialty · Taxis · Transport engineering · TRIPS architecture · Engineering · Global Healthcare and Medical Tourism · Medicine · Patient Satisfaction in Healthcare · Urban Transport and Accessibility · Emergency Medicine
The New Science of Cities
The Proof and Measurement of Association between Two Things
Integrating the Huff Model and Floating Catchment Area Methods to Analyze Spatial Access to Healthcare Services
Bypassing health facilities for childbirth
Understanding Rural Hospital Bypass Behavior
Patient Bypass Behavior and Critical Access Hospitals
Bypassing the Local Rural Hospital for Outpatient Procedures
Measuring spatial accessibility to healthcare services with constraint of administrative boundary
Influence of socio-demographic factors on distances travelled to access HIV services
Black residential segregation, disparities in spatial access to health care facilities, and late-stage breast cancer diagnosis in metropolitan Detroit
A flow-based statistical model integrating spatial and nonspatial dimensions to measure healthcare access
Measuring temporal variation of location-based accessibility using space-time utility perspective
Bypassing health providers
| Unique citing works | 5 |
|---|---|
| Citations per year | 1 |
| Citation span | 2021 - 2024 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |