Evaluating and re-demarcating the Hospital Service Areas in Florida

Jia, Peng; Xierali, Imam M.; Wang, Fahui

doi:10.1016/j.apgeog.2014.10.008

Cited by 39 publications

(54 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They include health care utilization (Arcury et al, 2005;Jia, Xierali, & Wang, 2015), hospital catchment travel times (McGrail & Humphreys, 2014;Schuurman, Fiedler, Grzybowski, & Grund, 2006), tourism (Hooper, 2014), and retail catchments (Brown, 1992;Reilly, 1931;Reynolds, 1953;Young, 1975). One area that has attracted considerable attention is recreation and tourism (Hall & Page, 2002).…”

Section: Distance Decay Modelsmentioning

confidence: 98%

The role of distance in peri-urban national park use: Who visits them and how far do they travel?

2015

View full text Add to dashboard Cite

a b s t r a c tThere is a sizable literature about the factors shaping park visitation and use e especially for urban parks, including (i) geographic (e.g. proximity), (ii) socio-cultural (e.g. population characteristics) and to a lesser extent, (iii) individual psychometric factors (e.g. attitudes and values). Yet comparatively little is known about how factors related to distance may affect peri-urban national park use, particularly outside the United States. This paper reports on research investigating distance-related factors affecting use of a periurban national park in Brisbane, Australia. This study found that older visitors live closer to the park while younger visitors travel further to use it. Surprisingly, travel distance did not vary with the type of recreational activities that users were conducting in the park. These results have implications for park planning and management including user demand for different recreational activities in peri-urban national parks. Results are useful for scholars using distance decay models to explain travel behaviour, evidencing the empirical veracity of the model in different places and across different service types. The findings are especially important for geographers because they demonstrate that assumptions about uniform park catchments may be unsupported and need to be empirically validated.

show abstract

Section: Distance Decay Modelsmentioning

confidence: 98%

The role of distance in peri-urban national park use: Who visits them and how far do they travel?

2015

View full text Add to dashboard Cite

show abstract

“…However, hospitals vary in type, specialty, scale, and location, and patients often cross town or city boundaries for a doctor or hospital services, which is an inevitable consequence of dispersed populations and medical services [2,3]. Hospital services are strongly consumption- and service-oriented, and they require improved spatial distribution research to maintain socially fair resource allocation, to eliminate spatial polarization, and to reduce spatial differentiation.…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution Balance Analysis of Hospitals in Wuhan

Yang

Chen

Wei-lu

et al. 2016

IJERPH

View full text Add to dashboard Cite

The spatial distribution pattern of hospitals in Wuhan indicates a core in the central urban areas and a sparse distribution in the suburbs, particularly at the center of suburbs. This study aims to improve the gravity and Huff models to analyze healthcare accessibility and resources. Results indicate that healthcare accessibility in central urban areas is better than in the suburbs, where it increasingly worsens for the suburbs. A shortage of healthcare resources is observed in large-scale and high-class hospitals in central urban areas, whereas the resources of some hospitals in the suburbs are redundant. This study proposes the multi-criteria evaluation (MCE) analysis model for the location assessment in constructing new hospitals, which can effectively ameliorate healthcare accessibility in suburban areas. This study presents implications for the planning of urban healthcare facilities.

show abstract

“…An ideal way to assess patients' spatial choice behavior is to measure patient-to-hospital flows, which can be obtained from survey data. Because patient-to-hospital data are often unavailable, many scholars utilize the Huff model to estimate patient spatial distributions and hospital service areas [8,20]. Even when survey data are available, the sample size is generally small because of various limitations, such as the low efficiency of surveying, the strong requirement for time, human resources and finance.…”

Section: Hospital Service Area and Patient Spatial Distribution Patternmentioning

confidence: 99%

“…Spatial interaction between service facilities and residents should reflect the characteristics of public facilities to some extent. In fact, it has been shown that spatial interaction strengths between a hospital and its patients are dependent on the attributes of the hospital [8]. Inversely, we can determine the hospitals' properties based on their spatial interactions.…”

Section: Introductionmentioning

confidence: 99%

“…To help city planners to evaluate and analyze the effectiveness of public facility configuration, scholars have conducted many studies on the accessibility of public facilities [1][2][3][4], service areas [5][6][7][8], and equity issues [9][10][11]. From a spatial perspective, the basic idea of these studies is to estimate the connections between demand locations and supply locations.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Investigating Public Facility Characteristics from a Spatial Interaction Perspective: A Case Study of Beijing Hospitals Using Taxi Data

Kong

Liu

Wang

et al. 2017

IJGI

View full text Add to dashboard Cite

Abstract:Services provided by public facilities are essential to people's lives and are closely associated with human mobility. Traditionally, public facility access characteristics, such as accessibility, equity issues and service areas, are investigated mainly based on static data (census data, travel surveys and particular records, such as medical records). Currently, the advent of big data offers an unprecedented opportunity to obtain large-scale human mobility data, which can be used to study the characteristics of public facilities from the spatial interaction perspective. Intuitively, spatial interaction characteristics and service areas of different types and sizes of public facilities are different, but how different remains an open question, so we, in turn, examine this question. Based on spatial interaction, we classify public facilities and explore the differences in facilities. In the research, based on spatial interaction extracted from taxi data, we introduce an unsupervised classification method to classify 78 hospitals in 6 districts of Beijing, and the results better reflect the type of hospital. The findings are of great significance for optimizing the spatial configuration of medical facilities or other types of public facilities, allocating public resources reasonably and relieving traffic pressure.

show abstract

Evaluating and re-demarcating the Hospital Service Areas in Florida

Cited by 39 publications

References 19 publications

The role of distance in peri-urban national park use: Who visits them and how far do they travel?

The role of distance in peri-urban national park use: Who visits them and how far do they travel?

Spatial Distribution Balance Analysis of Hospitals in Wuhan

Investigating Public Facility Characteristics from a Spatial Interaction Perspective: A Case Study of Beijing Hospitals Using Taxi Data

Contact Info

Product

Resources

About