scholarly journals Use of 2SFCA Method to Identify and Analyze Spatial Access Disparities to Healthcare in Jeddah, Saudi Arabia

2021 ◽  
Vol 11 (20) ◽  
pp. 9537
Author(s):  
Bandar Fuad Khashoggi ◽  
Abdulkader Murad
Keyword(s):  
Saudi Arabia ◽  
Travel Time ◽  
Road Network ◽  
Access To Healthcare ◽  
Spatial Accessibility ◽  
Local Health ◽  
Gis Technology ◽  
The Road ◽  
Jeddah City ◽  
Spatial Disparities

The issue of reducing spatial disparities in access to healthcare is one of the most important healthcare planning issues that policy makers and planners investigate and consider as a key focus until present time. A healthcare system that meets the requirements of availability and affordability will be useless if the spatial accessibility to healthcare is not provided to all equally. Therefore, this study aims to identify and analyze spatial disparities in access to healthcare centers in Jeddah, Saudi Arabia. The two-step floating catchment area (2SFCA) method was used to measure spatial accessibility of healthcare centers based on the travel time threshold (i.e., 30-min drive time in this study). The GIS technology was used to execute the 2SFCA method. A geodatabase, which includes the population districts, locations of healthcare centers, and road network, was created. Some procedures were performed within the road network database to set the travel time that is considered as an essential step to compute the origin–destination (OD) cost matrix. The OD matrix was later used as the source for calculating provider-to-population ratios and the spatial accessibility scores for population districts. The results of the study revealed spatial disparities in access to healthcare centers in Jeddah city. The majority of the Jeddah population (i.e., 97.51%) have accessibility to healthcare centers, but with disparate levels. The central districts have a higher access score compared to the rest of the city’s districts. Most districts that do not have accessibility to healthcare centers are concentrated in the southeast of the city. The results can help local health planners improve spatial equity in access to healthcare centers through giving the less-served districts a priority when allocating future healthcare centers in Jeddah city.

MEASURING SPATIAL HEALTHCARE FACILITIES ACCESSIBILITY USING TWO-STEP FLOATING CATCHMENT ANALYSIS (2SFCA) (Case Study: Cianjur Regency, Indonesia)

2021 ◽  
pp. 11
Author(s):  
Muhamad Iqbal Januadi Putra ◽  
Nabila Dety Novia Utami
Keyword(s):  
Travel Time ◽  
Quality Of Healthcare ◽  
Healthcare Services ◽  
Spatial Accessibility ◽  
Healthcare Facilities ◽  
Spatial Disparities ◽  
Time Threshold

The presence of healthcare facilities is quite essential to provide good healthcare services in a particular area, however, the existence of healthcare facilities is not evenly distributed in Cianjur Regency. This condition leads to the disparities of healthcare facilities across the Cianjur Regency. In this paper, we aim to measure and map the spatial disparities of healthcare facilities using a Two-Step Floating Catchment Analysis (2SFCA). This method can calculate the magnitude of spatial accessibility for healthcare facilities by formulating the travel time threshold and the quality of healthcare facilities across the study area. This research shows the result that the spatial accessibility of healthcare facilities in the Cianjur Regency is not evenly distributed across the districts. The spatial accessibility value resulted from 2SFCA is ranging from 0- 3.97. A low value indicates low spatial accessibility, while a higher value shows good accessibility. The majority of districts in the Cianjur Regency have the spatial accessibility value 0-0.5 (86%). Meanwhile, only a few have the higher value; value 0.5-0.99 as much as 6.6%, 0.99-1.49 as 3.3%, and 3.48-3.97 has a percentage of 3.3%. Also, this analysis results in the cluster of good spatial accessibility in healthcare facilities, namely the Pagelaran District and Cipanas District. Interestingly, the downtown of Cianjur Regency has lower spatial accessibility compared to both areas.

scholarly journals Macroscopic dynamics and the collapse of urban traffic

2018 ◽  
Vol 115 (50) ◽  
pp. 12654-12661 ◽  
Author(s):  
Luis E. Olmos ◽  
Serdar Çolak ◽  
Sajjad Shafiei ◽  
Meead Saberi ◽  
Marta C. González
Keyword(s):  
Travel Time ◽  
Road Network ◽  
Spatial Dynamics ◽  
Urban Traffic ◽  
Nonequilibrium Phase Transition ◽  
Vehicle Miles Traveled ◽  
The Road ◽  
Road Capacity ◽  
Total Vehicle ◽  
The Individual

Stories of mega-jams that last tens of hours or even days appear not only in fiction but also in reality. In this context, it is important to characterize the collapse of the network, defined as the transition from a characteristic travel time to orders of magnitude longer for the same distance traveled. In this multicity study, we unravel this complex phenomenon under various conditions of demand and translate it to the travel time of the individual drivers. First, we start with the current conditions, showing that there is a characteristic time τ that takes a representative group of commuters to arrive at their destinations once their maximum density has been reached. While this time differs from city to city, it can be explained by Γ, defined as the ratio of the vehicle miles traveled to the total vehicle distance the road network can support per hour. Modifying Γ can improve τ and directly inform planning and infrastructure interventions. In this study we focus on measuring the vulnerability of the system by increasing the volume of cars in the network, keeping the road capacity and the empirical spatial dynamics from origins to destinations unchanged. We identify three states of urban traffic, separated by two distinctive transitions. The first one describes the appearance of the first bottlenecks and the second one the collapse of the system. This collapse is marked by a given number of commuters in each city and it is formally characterized by a nonequilibrium phase transition.

scholarly journals Resilience-Based Optimization of Postdisaster Restoration Strategy for Road Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Xinhua Mao ◽  
Jibiao Zhou ◽  
Changwei Yuan ◽  
Dan Liu
Keyword(s):  
Travel Time ◽  
Road Network ◽  
Network Performance ◽  
Network Flows ◽  
Programming Model ◽  
Mixed Integer ◽  
Total System ◽  
Network Resilience ◽  
The Road ◽  
Restoration Strategies

This work proposes a framework for the optimization of postdisaster road network restoration strategies from a perspective of resilience. The network performance is evaluated by the total system travel time (TSTT). After the implementation of a postdisaster restoration schedule, the network flows in a certain period of days are on a disequilibrium state; thus, a link-based day-to-day traffic assignment model is employed to compute TSTT and simulate the traffic evolution. Two indicators are developed to assess the road network resilience, i.e., the resilience of performance loss and the resilience of recovery rapidity. The former is calculated based on TSTT, and the latter is computed according to the restoration makespan. Then, we formulate the restoration optimization problem as a resilience-based bi-objective mixed integer programming model aiming to maximize the network resilience. Due to the NP-hardness of the model, a genetic algorithm is developed to solve the model. Finally, a case study is conducted to demonstrate the effectiveness of the proposed method. The effects of key parameters including the number of work crews, travelers’ sensitivity to travel time, availability of budget, and decision makers’ preference on the values of the two objectives are investigated as well.

scholarly journals Method for Reliable Shortest Path Determination in Stochastic Networks using Parametrically Defined Stable Probability Distributions

2019 ◽  
Vol 18 (3) ◽  
pp. 558-582
Author(s):  
Anton Agafonov ◽  
Vladislav Myasnikov
Keyword(s):  
Travel Time ◽  
Shortest Path ◽  
Road Network ◽  
Large Scale ◽  
Probability Distributions ◽  
Time Budget ◽  
Stochastic Networks ◽  
Computational Time ◽  
Transport Networks ◽  
The Road

An increase in the number of vehicles, especially in large cities, and inability of the existing road infrastructure to distribute transport flows, leads to a higher congestion level in transport networks. This problem makes the solution to navigational problems more and more important. Despite the popularity of these tasks, many existing commercial systems find a route in deterministic networks, not taking into account the time-dependent and stochastic properties of traffic flows, i.e. travel time of road links is considered as constant. This paper addresses the reliable routing problem in stochastic networks using actual information of the traffic flow parameters. We consider the following optimality criterion: maximization of the probability of arriving on time at a destination given a departure time and a time budget. The reliable shortest path takes into account the variance of the travel time of the road network segments, which makes it more applicable for solving routing problems in transport networks compared to standard shortest path search algorithms that take into account only the average travel time of network segments. To describe the travel time of the road network segments, it is proposed to use parametrically defined stable Levy probability distributions. The use of stable distributions allows replacing the operation of calculating convolution to determine the reliability of the path to recalculating the parameters of the distributions density, which significantly reduces the computational time of the algorithm. The proposed method gives a solution in the form of a decision, i.e. the route proposed in the solution is not fixed in advance, but adaptively changes depending on changes in the real state of the network. An experimental analysis of the algorithm carried out on a large-scale transport network of Samara, Russia, showed that the presented algorithm can significantly reduce the computational time of the reliable shortest path algorithm with a slight increase in travel time.

scholarly journals Impact on Road Safety and Operation of Rerouting Traffic in Rural Travel Time Information System

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4145
Author(s):  
Mariusz Kiec ◽  
Carmelo D’Agostino ◽  
Sylwia Pazdan
Keyword(s):  
Information System ◽  
Travel Time ◽  
Traffic Control ◽  
Time Management ◽  
Road Safety ◽  
Road Network ◽  
Safety Level ◽  
The Road ◽  
Traffic Operation ◽  
Time Information

The Travel Time Information System (TTIS) is an Intelligent Traffic Control System installed in Poland. As is common, travel time is the only factor in the decision about rerouting traffic, while a route recommendation may consider multiple criteria, including road safety. The aim of the paper is to analyze the safety level of the entire road network when traffic is rerouted on paths with different road categories, intersection types, road environments, and densities of access points. Furthermore, a comparison between traffic operation and road safety performance was carried out, considering travel time and delay, and we predicted the number of crashes for each possible route. The results of the present study allow for maximizing safety or traffic operation characteristics, providing an effective tool in the management of the rural road system. The paper provides a methodology that can be transferred to other TTISs for real-time management of the road network.

A Stochastic Frontier Approach Applied to Farms to Selected Andean Countries

2021 ◽  
Author(s):  
Carlos Otávio Freitas ◽  
Felipe de F. Silva ◽  
Mateus C. R. Neves
Keyword(s):  
Travel Time ◽  
Road Network ◽  
Stochastic Frontier ◽  
Road Density ◽  
Stochastic Frontier Approach ◽  
Technical Inefficiency ◽  
The Road ◽  
Andean Countries ◽  
Stochastic Production ◽  
On The Road

In this paper, we estimate a stochastic production function for Bolivia, Ecuador, Colombia, and Peru to investigate whether road infrastructure affects farm technical inefficiency. We use agricultural censuses of Colombia and Bolivia in 2013 and 2014, respectively; national agricultural surveys in 2017 of both Ecuador and Peru; and data on the road network and travel time to the nearest town with 50,000 inhabitants or more. Our main findings are that irrigation increases the value of production and road network decreases farm technical inefficiency, that is, road density (travel time) increases (decreases) farm technical efficiency.

scholarly journals Determining Variations in Access to Public Hospitals in Makkah, Kingdom of Saudi Arabia: A GIS-Based Approach

2021 ◽  
Vol 1 (1) ◽  
pp. 26-32
Author(s):  
Mazen Baazeem ◽  
Marc Tennant ◽  
Estie Kruger
Keyword(s):  
Public Health ◽  
Saudi Arabia ◽  
Urban Areas ◽  
Population Distribution ◽  
Health Facilities ◽  
Public Hospitals ◽  
Spatial Accessibility ◽  
Geographical Information ◽  
Health Coverage ◽  
Gis Technology

Background: Variation in gaining accessibility to public hospitals in Makkah, Saudi Arabia, has not been investigated before. Good access to public health facility will lead to improvements in the population’s health. Maps and geographical information system (GIS) technology can provide assistance to address public health coverage issues. Aims: This study aimed to use GISs to identify spatial accessibility to hospitals in Makkah, based on the radius and drive-time analysis technique. Method: Using Quantum GIS (QGIS), a geodatabase was created to include 8 public hospitals’ locations and data of population distribution across the city. Buffer zones at 2.5, 5, 7, and 10 km radius from the public hospitals were identified and examined. Results: The findings revealed that most of the health facilities across the suburbs of Makkah were located in urban areas, while rural and remote areas were neglected. Conclusion: Public health facilities were distributed relative to high population density. One-third of the city’s population does not have proper access to healthcare services.

scholarly journals User-Optimal and System-Optimal Route Choices for a Large Road Network

2004 ◽  
Vol 3 (4) ◽  
Author(s):  
David Boyce ◽  
Qian Xiong
Keyword(s):  
Travel Time ◽  
Road Network ◽  
Optimal Solution ◽  
Optimal Route ◽  
Choice Problem ◽  
Vehicle Miles Traveled ◽  
Peak Period ◽  
The Road ◽  
System Optimal ◽  
Total Travel Time

Solutions to the route choice problem for assumptions of user-optimality and system-optimality are presented for the road network of the Chicago region. Regionwide results show a 5% decrease in total travel time would be achieved during the morning peak period, if a system-optimal solution based on travel times were implemented. Among the costs of this solution is a 1.5% increase in vehicle-miles traveled. Findings for differences in link flows and individual origin-destination pairs complete the paper.

scholarly journals Using the location-allocation P-median model for optimising locations for health care centres in the city of Jeddah City, Saudi Arabia

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
Abdulkader Murad ◽  
Fazlay Faruque ◽  
Ammar Naji ◽  
Alok Tiwari
Keyword(s):  
Health Care ◽  
Saudi Arabia ◽  
Health Services ◽  
Health Care Services ◽  
Health Sector ◽  
Evidence Base ◽  
Spatial Accessibility ◽  
Location Allocation ◽  
The Road ◽  
Care Services

Considering spatial accessibility of health services is a critical part in the planning and management of health services. There is evidence that poor geographical locations can obstruct prompt basic health care services to some population sections. We developed a location-allocation P-median model for health centres after analysing their sites, demand location of health services and the road network in Jeddah, Saudi Arabia. This model attempts to optimize health care services network and to put forward location recommendations to maximise service coverage. Our model is shown to be useful as it provides a robust evidence base to urban planners and policymakers responsible for making spatial decisions for the development of the health sector. Besides, it follows the paradigm of new urbanism that encourages decentralisation of essential facilities including basic healthcare in cities, where emphasis is on offering all basic services within walkable distances of 15 min. or less.

scholarly journals An Integrated Analysis of Spatial Access to the Three-Tier Healthcare Delivery System in China: A Case Study of Hainan Island

2020 ◽  
Author(s):  
Xiuli Wang ◽  
Barnabas Seyler ◽  
Wei Han ◽  
Jay Pan
Keyword(s):  
Travel Time ◽  
Delivery System ◽  
Healthcare Delivery ◽  
Hainan Island ◽  
Access To Healthcare ◽  
Spatial Accessibility ◽  
Integrated Analysis ◽  
Tier 2 ◽  
Spatial Access ◽  
Tier 3

Abstract Background: Access to healthcare is critical for the implementation of Universal Health Coverage (UHC). With the development of healthcare insurance systems around the world, spatial impedance to healthcare institutions has attracted increasing attention. However, most spatial accessibility methodologies having been developed in Western countries, whose healthcare systems are different from those in Low and Middle Income Countries (LMIC).Methods: In this paper, Hainan Island was taken as an example to explore the utilization of modern spatial accessibility techniques under a specialized Three-Tier Health Care Delivery System in China. Healthcare institutions were first classified into the three tiers accordingly. Then shortest travel time was calculated for each institution tier, and overlapped to identify eight types of multilevel healthcare access zones. Spatial access to doctors based on the Enhanced Two-Step Floating Catchment Area Method (E2SFCA) was also calculated.Results: On Hainan Island, about 90% of the population were within 60-minute service range of Tier 3 (hospitals) healthcare institutions, 80% were within 30 minutes of Tier 2 (health centers), and 75% were within 15 minutes of Tier1 (clinics). Based on local policy, 76.36% of population living in 48.52% of area were able to receive timely services at all tiers of healthcare institutions. The weighted average access to doctors was 2.31 per thousand residents, but reginal disparity was large, and 64.66% were contributed by Tier 3 healthcare institutions.Conclusion: Spatial access to healthcare institutions on Hainan Island was generally good according to travel time and general abundance of doctors, but inequality among regions and irrationality among different tiers of healthcare institutions exist. Primary healthcare institutions, especially Tier 2 need strengthen.

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