







































Georgian Geographical Journal 

 

GIS Served Car Travel Times to Maternity 

Hospitals in the Kvemo Kartli Region, 

Georgia 
Mariam Elizbarashvili1* , Shalva Elizbarashvili2, Bela 

Kvirkvelia1 , Elizbar Elizbarashvili2, Tamar Khuntselia1 , Nino 

Chikhradze1  
1 Faculty of Exact and Natural Sciences, Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia 
2 

Climatology and Agroclimatology Department, Institute of Hydrometeorology,  

Georgian Technical University, Tbilisi, Georgia  
* Corresponding author: 

mariam.elizbarashvili@tsu.ge 

 

 

 

 

 

 

 

 

 

Introduction 

Timely access to medical care during pregnancy, labour, and delivery is crucial to ensuring the 

mother’s and baby’s health and well-being (Pacagnella et al., 2014). International studies (Grzybowski 

et al., 2011; Ravelli et al., 2011b) have shown that travel time to the maternity ward is associated with 

increased intrapartum and neonatal mortality and morbidity risks. According to some authors (Blondel 

et al., 2011; Dietsch et al., 2010), travel time and unplanned out-of-hospital deliveries also have a 

positive association. Out-of-hospital deliveries are also associated with a higher risk of perinatal 

mortality than in-hospital births. According to Combier (2013), significant positive associations exist 

between travel time to the nearest maternity unit and critical risk factors for perinatal mortality, 

morbidity, and unexpected out-of-hospital deliveries.  

A study carried out in the Netherlands showed that women who have 20 minutes or more of car travel 

to the nearest maternity hospital are at higher risks for harmful outcomes and mortality (Ravelli et al., 

2011a). Similar results were reported in France (Blondel et al., 2011) and in other international studies 

(Grzybowski et al., 2011; Lisonkova et al., 2011; Tromp et al., 2009). 

Research conducted in various countries worldwide indicates that patients who require longer travel 

times to reach a healthcare facility are less likely to seek care at these facilities when needed (Syed et 

al., 2013). Regular check-ups are vital for monitoring the health of the woman. Women may miss or 

delay these crucial appointments if the maternity hospital is far away, leading to potential health 

problems that go unnoticed. In recent years, driven by the impact of COVID-19, people have grown 

Georgian Geographical Journal, 2025, 5(2) 22-29 

© The Author(s) 2025 

 
This article is an open access article distributed under 

the terms and conditions of the Creative Commons 

Attribution (CC BY) license (https:// 

creativecommons.org/licenses/by/ 4.0/). 

DOI: 

https://journals.4science.ge/index.php/GGJ 

Abstract 

This study aimed to evaluate car travel times to maternity hospitals in the 

Kvemo Kartli region of Georgia, with the objective of identifying 

underserved areas and informing priority interventions to reduce spatial 

inequalities in access to maternal healthcare services. The isochrone map 

showing car travel times to the maternity hospitals was created using 

geographical information systems (GIS), taking into account the location of 

the maternity hospitals, the length of the roads, and data on the maximum 

allowed speeds of the vehicles. The research highlights discrepancies in 

women's access to maternity hospitals in the Kvemo Kartli region. All three 

maternity hospitals are located in the most densely populated areas, close to 

each other. Access to maternity hospitals is markedly constrained across large 

parts of the Kvemo Kartli region, particularly in areas characterised by lower 

population density. Overall, 51% of women aged 15–49 reside within 

adequately served zones (car travel time < 30 minutes), while the remaining 

49% live in underserved zones (car travel time > 30 minutes). This spatial 

disparity underscores substantial risks to maternal and infant health, 

highlighting the urgent need for targeted interventions to improve healthcare 

accessibility. The most effective solution for reducing inequality in women's 

access to maternity hospitals is to either establish a new maternity hospital or 

relocate one of the three existing facilities to Bolnisi. 

Keywords: isochrone, inequality, sustainable development 

Citation: Elizbarashvili, M.; Elizbarashvili, 

Sh.; Kvirkvelia, B.; Elizbarashvili, E.; 

Khuntselia, T.; Chikhradze, N. GIS Served 
Car Travel Times to Maternity Hospitals in 

the Kvemo Kartli Region, Georgia. 
Georgian Geographical Journal 2025, 

5(2), 22-29. 
https://doi.org/10.52340/ggj.2025.05.02.04 



Elizbarashvili et al. 2025 5(2) 

23 
 

increasingly concerned with the quality of hospitals in their living environment. As a result, hospital 

accessibility has become a key factor in determining housing prices (Chen et al., 2022). 

Access to health services is a key indicator of sustainable development at both urban and regional 

levels and should be ensured for everyone equally and fairly (Soltani et al., 2019). 

This study is linked to several Sustainable Development Goals (SDGs), primarily: 

SDG 3: Good Health and Well-being: Improving access to maternity hospitals can reduce maternal 

mortality and guarantee access to reproductive healthcare services (https://sdgs.un.org/goals) 

SDG 10: Reduced Inequalities: aims to reduce inequalities (https://sdgs.un.org/goals). By identifying 

"served" and "underserved" areas regarding access to maternity hospitals, interventions can be 

prioritized to reduce inequalities in healthcare access. 

SDG 11: Sustainable Cities and Communities: https://sdgs.un.org/goals Improving access to 

healthcare facilities, including maternity hospitals, contributes to creating more inclusive and resilient 

communities. 

SDG 17: Partnerships for the Goals: https://sdgs.un.org/goals. This goal emphasizes the importance 

of partnerships in achieving the SDGs. Collaborative efforts between governments, healthcare 

providers, and community stakeholders are essential to improving access to maternity hospitals and 

achieving the related SDG targets. 

Achieving the SDGs is crucial because it represents a global commitment to creating a more 

sustainable, equitable, and prosperous world for all people, now and in the future. 

Every individual is entitled to quality healthcare, so medical services must be strategically allocated. 

Prioritizing sufficiency and accessibility as key spatial dimensions of healthcare access will facilitate 

the effective distribution of health facilities to meet growing demand. Identifying areas with inadequate 

access to healthcare facilities can also support proactive hospital site selection. This data-driven 

approach could be integrated into regional healthcare planning, promoting both equity in access and 

sufficiency, ultimately contributing to greater health equity. 

Our objective was to create an isochrone map illustrating car travel times to the nearest maternity 

hospitals to identify underserved areas, prioritize interventions to address inequalities, and contribute 

to achieving multiple health and SDGs.   

Methods and Materials 

Case Study 

According to Yin, case studies are a valuable and valid research approach, particularly for examining 

complex real-world phenomena (Yin, 2014). Research using case studies on travel time to maternity 

hospitals allows for an in-depth exploration of specific cases, offering detailed and insightful findings 

that may be difficult to achieve with other research methods. This thorough analysis can enhance our 

understanding and provide a valuable means of gaining deep insights into the complexity of this issue, 

informing policies and interventions aimed at improving access to maternity care.  

 

 
Figure 1. A map of settlements, maternity hospitals, and the road network in Kvemo Kartli 

Note: The bold black lines on the map represent the municipal boundary 

 

For the case study, we selected one of the border regions of Georgia - Kvemo Kartli (Elizbarashvili et 

al., 2024a). To the north of the country's capital, Tbilisi, to the southeast, it is bordered by the Republic 



Elizbarashvili et al. 2025 5(2) 

24 
 

of Azerbaijan, and to the south, by the Republic of Armenia. The administrative center of Kvemo Kartli 

is Rustavi. Apart from Rustavi, it includes the following municipalities: Bolnisi, Gardabani, Dmanisi, 

Tetritskaro, Marneuli, and Tsalka. The region's area is 6,528 km2, 10% of Georgia's total area. 

According to the Georgian National Statistics Office, the population of Kvemo Kartli is 428,799, which 

is 11.42% of the population of Georgia. The Kvemo Kartli region features industrial centers and 

farmlands. The industrial cities in the area are Rustavi and Marneuli. Within Kvemo Kartli, the 

population density varies extensively (Elizbarashvili et al., 2024b). There are three maternity hospitals 

in the Kvemo Kartli region, all located close to each other in the key industrial city of the region – 

Rustavi. Figure 1 shows the settlements, maternity hospitals, and the road network of Kvemo Kartli. 

Based on all these features, the Kvemo Kartli region is a representative geographic area for the case 

study. The research will give us a broad idea of how access to maternity hospitals changes for women 

living in different areas in Kvemo Kartli, what contextual factors affect this, and what measures need 

to be taken to reduce inequalities and contribute to achieving multiple SDGs related to health and 

sustainable development.  

By studying car travel time to maternity hospitals and identifying underserved areas, interventions can 

be targeted to improve healthcare access, reduce inequalities, and contribute to achieving SDGs related 

to health and sustainable development. 

Data collection  

Data for medical stations were obtained from both official government sources: "Ministry of Internally 

Displaced Persons from the Occupied Territories of Georgia, Labor, Health, and Social Protection", 

web pages of medical institutions, and direct fieldwork, including visits to medical institutions in the 

Kvemo Kartli region (Elizbarashvili et al., 2024a, Elizbarashvili et al., 2024b).  

Mapping and calculations 

In this study, we used the 1:10000 scale geographic information system of the healthcare infrastructure 

of the Kvemo Kartli region, which includes information on settlements, population, roads, bridges, 

healthcare facilities (hospital, emergency medical care, pharmacy network, dental clinics, diagnostic 

centers, etc.), data on the maximum allowed vehicle speeds on each road segment (Elizbarashvili et al., 

2024a). Based on this GIS, the isochrone map showing the car travel times to the nearest maternity 

hospital was compiled, and the percentage of women aged 15- 49 years living within different travel-

time intervals to the maternity hospitals was calculated. 

Results 

The isochrone map showing the car travel times to the nearest maternity hospital 

 

The isochrone map presented in Figure 2 shows the spatial distribution of (red, yellow, blue, green, 

purple, and light brown) areas, which correspond to the following car travel time intervals: 0-8 min, >8-

15min, >15-30 min, >30-45 min, >45-60 min, >60 min.   

 

 
Figure 2. An isochrone map showing the car travel times to the nearest maternity hospital 

 

People living in the red area will reach the nearest maternity hospital by car within 8 minutes, it will 

take 8 to 15 minutes for people living in the yellow area to reach the nearest maternity hospital by car, 



Elizbarashvili et al. 2025 5(2) 

25 
 

15 to 30 minutes for people living in the blue area, 30 to 45 minutes for people living in the green area, 

45 to 60 minutes for people living in the purple area. People who live in the brown area will need more 

than 1 hour to get to the nearest maternity hospital by car. The brown area covers a large part of the 

Kvemo Kartli region. 

 

Women of reproductive age living within the different travel time intervals 

Women of reproductive age are usually considered to be in the age range of approximately 15 to 49 

years old. This age range is chosen because it encompasses the years during which women typically 

experience menstruation, ovulation, and the potential for pregnancy. According to data from the 

"National Statistical Service of Georgia," 103,758 women of this age live in the Kvemo Kartli region, 

which is slightly more than 24% of the total population of Kvemo Kartli. 

 

 
Figure 3. Distribution of the percentage of women aged 15- 49 years in the Kvemo Kartli region  

according to the different travel time intervals to the nearest maternity hospital 

 

Based on GIS analyses, it was assessed that about 32 % of women aged 15-49 years of Kvemo Kartli 

live within the 8 min car travel time to the nearest maternity hospital, about 4 % live within > 8-15 min 

car travel time, about 15% live within the >15-30 min car travel time, 12 % within the >30-45 min car 

travel time, 12 % within the >45-60 min car travel time and almost 25% life outside the 60 min car 

travel time (Figure 3). Such a percentage distribution is determined by the location of maternity 

hospitals and the region's population density change. 
 

Table 1. The density of women aged 15-49 years 

 

Municipality The density of women aged 15-49 years, people/km² 

Rustavi 448.82 

Marneuli 24.86 

Gardabani 20.58 

Bolnisi 16.99 

Tsalka  4.54 

Tetritskaro 4.24 

Dmanisi 3.28 

 

There are three maternity hospitals in the Kvemo Kartli region. However, all of them are located in 

Rustavi, the most highly populated area where the density of women aged 15-49 years is the highest in 

the region. Rustavi is followed by Marneuli municipality, where the density of women aged 15- 49 

years is nearly 20 times lower than that of Rustavi. The density decreases in the Gardabani and Bolnisi 

municipalities and significantly decreases in the Tsalka, Tetritskaro, and Dmanisi municipalities (Table 

1).  

Discussion   

Travel time to maternity hospitals 

According to this study, many women in the Kvemo Kartli region face challenges in reaching the 

nearest maternity hospitals on time. Specifically, 68% of women aged 15 to 49 cannot reach the nearest 

maternity hospital within 8 minutes, a critical time frame for emergencies. 64% of women aged 15 to 



Elizbarashvili et al. 2025 5(2) 

26 
 

49 cannot access the nearest maternity hospital within 15 minutes, 49 % of women aged 15-49 cannot 

access the nearest maternity hospitals within 30 minutes, 37 % of women within 45 minutes, and 25% 

- within 60 minutes. Figure 4 shows the distribution of the percentage of women aged 15- 49 years in 

the Kvemo Kartli region according to the reaching not reaching the nearest maternity hospital within 

different travel time intervals. Logically, more women face challenges when reaching maternity 

hospitals without a car, as public transport is not developed in Kvemo Karli.  

 

 
Figure 4.  Distribution of the percentage of women aged 15- 49 years in the Kvemo Kartli region according to  

the reaching not reaching the nearest maternity hospital within different travel time intervals 

 

For pregnant women, it is essential to have convenient access to healthcare facilities. Delays in 

accessing care can lead to birth complications and hurt both maternal and neonatal outcomes 

(Pacagnella et al., 2018). Longer travel times may contribute to delays in receiving necessary medical 

attention, which can be critical during childbirth, particularly in emergencies. The labor process can 

sometimes progress rapidly and can lead to accidental out-of-hospital births. Without appropriate 

medical assistance, it can pose risks to both the mother and child (Blondel et al., 2011). Quick access 

to healthcare can help prevent complications and ensure safe deliveries.  

The study conducted in the rural region of France in Burgundy showed that a travel time of 30 min or 

more to maternity units could delay the delivery of the baby, increasing risks of fetal heart rate 

anomalies, out-of-hospital births, and pregnancy hospitalization (Combier et al., 2013). The finding 

related to travel time from home to the hospital in the Netherlands and its association with adverse 

outcomes in pregnant women suggests that a longer travel time, specifically 20 minutes or more by car, 

is linked to an increased risk of mortality and other negative outcomes (Ravelli et al.,  2011a).  

According to the Belgian National Geographic Institute, over 99% of women aged 15 to 49 can reach 

one or more maternity services within a 30-minute drive under typical traffic conditions. Additionally, 

92.3% of women in the same age group can access maternity services within a 15-minute drive (Lefèvre 

et al., 2019). 

In the Kvemo Kartli region, only 36% of women aged 15 to 49 can access maternity services within 

a 15-minute drive. Approximately 51% of women aged 15 to 49 can access maternity services within 

30 minutes by car. 

Research conducted in Northern Sweden shows that 40% of women need more than 20 minutes to 

reach maternity hospitals. The same study shows that in 2013, approximately 90% of women could 

reach their nearest maternity hospital in Northern Sweden within one hour, compared to around 80% in 

2019 (Elin, 2019). In the Kvemo Kartli Region, about 75 % of women can reach the nearest maternity 

hospital by car within one hour. 

On the map presented in Figure 3, the red, yellow, and blue areas where it takes 30 minutes to reach 

the maternity hospital by car were evaluated as "served"; approximately 51% of women aged 15 to 49 

live there. Green, purple, and light brown areas, where it takes more than 30 minutes to reach the 

maternity hospital by car, are classified as "underserved;" 49% of women aged 15 to 49 live there.  

 

Addressing Pregnant Women's Healthcare Access in Rural Kvemo Kartli: Limitations of Maternity 

Waiting Homes and the Need for Localized Solutions 

https://obgyn.onlinelibrary.wiley.com/authored-by/Ravelli/ACJ


Elizbarashvili et al. 2025 5(2) 

27 
 

To address the challenge of long distances to healthcare facilities for pregnant women, many countries 

have established maternity waiting homes (MWHs) near maternity units. These facilities (Stekelenburg 

et al., 2006, Sialubanje et al., 2015) are designed for women living in remote rural areas. MWHs allow 

these women to stay close to a hospital during the final weeks before delivery, ensuring timely access 

to care when labor begins. Additionally, in rural areas, MWHs can provide a respite from strenuous 

fieldwork, which may otherwise contribute to pregnancy and childbirth-related complications (Agbla 

et al., 2006). However, we believe that MWHs cannot work in the Kvemo Kartli region due to the 

cultural characteristics and mentality of the population. The opening of MWHs also fails to ensure 

regular visits of pregnant women to Maternity hospitals for prenatal check-ups, which are essential for 

monitoring the health of both the mother and the baby. Therefore, we consider it most optimal to create 

a new maternity hospital or move one of the three existing maternity hospitals to Bolnisi, which is in 

the "underserved" area and where the density of women aged 15- 49 years is the highest after Rustavi, 

Marneuli, and Gardabani. Such a change will improve the current situation to some extent. Bolnisi 

borders Marneuli municipality and is also close to Rustavi, where the population density is highest; on 

the other hand, Bolnisi municipality borders Dmanisi and Tetritskaro municipalities, which are also in 

the "underserved" area. It is essential to develop roads and public transport in the Kvemo Kartli region, 

which will help women to go to maternity hospitals for regular check-ups and examinations. 

Limitations and strengths of the study  

This study has important limitations. Firstly, we have made all discussions and conclusions 

considering all 15- to 49-year-old women who live in the Kvemo Kartli region. However, the level of 

accessibility to maternity hospitals can be more crucial in some situations than in others, one of which 

is childbirth.  

Secondly, isochrone maps are a valuable tool in planning as they visually represent accessibility within 

a certain time frame. However, isochrone maps have limitations, as they simplify travel time 

calculations and do not consider real-world factors such as traffic conditions, road closures, or weather.  

However, the strength of our research lies in the use of GIS with the road layer created at a larger 

scale of 1:1,000 and the maximum permissible car travel speeds in each segment along the road between 

two places. The advantage of using the maximum permissible car travel speed is that it already considers 

road surface conditions, terrain, steep bends, or other real-world difficulties that may affect real-time 

travel (Elizbarashvili et al., 2024a, Elizbarashvili et al., 2024b). 

Conclusion 

The research underlines disparities in women’s access to maternity hospitals in the Kvemo Kartli 

region. It helps us understand what contextual factors affect this situation and how to address it.  

• All three maternity hospitals are located in the most densely populated areas close to each other, 

which means that access is significantly limited in a large part of the Kvemo Kartli region, where the 

population density is significantly lower.  

• This study identifies key regions in Kvemo Kartli where maternity hospitals are lacking, 

based on driving travel time distance assessments. 51% of women aged 15 to 49 live in the served 

area (car travel time < 30 min), while 49% (50,332 women) live in the underserved area (car travel time 

>30 min). The mapped findings could have policy implications and be valuable for future 

decision-making and analysis. 

• The most optimal solution to reduce inequality in women’s access to maternity hospitals is to create 

a new maternity hospital or move one of the three existing maternity hospitals to Bolnisi. 

• Regarding population density, Kvemo Kartli is slightly behind only one region of Georgia and much 

higher than the population density of the rest of Georgia. This makes it clear that the accessibility 

problem will be even more acute in the other regions, where the population is much more sparsely 

distributed than in the Kvemo Kartli region. Low population density areas may have fewer hospitals or 

healthcare facilities due to lower demand, leaving residents underserved. Therefore, creating an 

isochrone map illustrating car travel times to the nearest maternity hospitals in other regions of Georgia 

is crucial. This map can help identify underserved areas and support the development of targeted 

interventions to improve healthcare access, reduce inequalities, and contribute to achieving various 

SDGs related to health, equality, and sustainable development in Georgia.  
The information obtained from the study can serve as a basis for policy recommendations and 

interventions aimed at improving access to maternity care in the Kvemo Kartli region. Policymakers, 



Elizbarashvili et al. 2025 5(2) 

28 
 

healthcare professionals, and other stakeholders can use these data to develop targeted strategies that 

address specific challenges and improve the general well-being of mothers and babies in the region. 

Competing interests 

The authors declare that they have no competing interests. 

Authors’ contribution 

M.E. conceptualization, methodology, writing- original draft preparation supervision. B.K. data 

curation, writing - original draft preparation. Sh.E. software, investigation.  N.Ch. and E.E. writing - 

reviewing and editing. T.K. visualization, software, validation. All authors provided critical feedback 

and helped shape the research, analysis and manuscript. 

Funding  

This work was supported by Shota Rustaveli National Science Foundation of Georgia (SRNSFG) 

grant number FR-19-14993. 

ORCID iD 

Mariam Elizbarashvili https://orcid.org/0000-0002-8060-3615 

Bela Kvirkvelia  https://orcid.org/ 0000-0002-7470-1980 

Tamar Khuntselia https://orcid.org/0009-0003-1338-3637 

Nino Chikhradze https://orcid.org/0000-0002-8832-2084 

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