Road Distance Research Articles

Underground dam site selection using hydrological modelling and analytic network process

The location of Iran on the dry belt of the earth has caused the expansion of the desert in central and southern regions. One of the supply water methods in these regions is the underground water resources. Underground dam is one of hydraulic structures to storage and recharge water into the aquifer. The aim of this paper is to determine the best location to build underground dam using hydrologic and network process models. In determining the location of an underground dam, many factors can be considered. One of the most important ones is the subsurface flow in the area. In this study, hydrological modelling was done by SWAT to calculate the subsurface flow. At first, by using the Boolean logic method, seventeen suitable locations were selected. The selection process was based on criteria such as ground slope, land use, geology and hydrology. Then, the areas were modelled in SWAT and the subsurface flows and runoff volumes were calculated by SUFI2 (Sequential Uncertainty Fitting Ver. 2) algorithm. In the next stage, the locations were ranked using the Analytic Network Process (ANP). The decision criteria that were considered in ANP included reservoir volume, dam axis, and economic and social issues (drinkable water demand, Agriculture water demand, Distance from road Distance from village). Finally, 17 points were selected and prioritized for underground dam construction. The results of this study point that combination of SWAT modelling and ANP can be considered as a useful approach in the selection and ranking process in identifying optimum sites for underground dams. The results of this study made it possible to identify suitable places for the construction of underground dams by saving time and money by using the Decision Support System. Despite the complexity of criteria, possible floods can be predicted and managed better in the studied area.

Understanding and improving nature-related educational ecosystem services in urban green spaces: Evidence from app-aided plant identification spatial-hotspots

With the shortage of nature and the loss of biodiversity in cities, there is increasing interest in the use of urban green spaces (UGSs) to experience nature and carry out natural education. However, it is still unclear about how educational ecosystem service in UGSs to be used and by what landscape characteristics affected. Now there is an opportunity to quantify and map the nature-related educational ecosystem service by a plant identification app. We found the spatial hotspots of nature-related educational ecosystem service in UGSs and identified the educational sites as a non-dominant one and three dominant ones. Based on the assessment of spatial structure and functional indicators of UGSs, results of the regression models revealed that the plant biodiversity contributed to >60% of relative effect estimates on educational ecosystem service. There were six plant biodiversity indicators (abundance and species richness of ornamental herbs and shrubs, abundance of trees and species richness of herbs) and two accessible indicators (road density and distance to entrance) having significant effects, and one non-significant facility and attraction indicator (POI (Point of Interest) Density) contributing to >13% of relative estimates on educational ecosystem service. Based on inspirations of these results, an evidence-based design practice streamline was proposed to enhance educational ecosystem services and improve activities of learning nature. It is expected to contribute to the integration of natural education into residents’ daily life with benefits on human well-being and biodiversity protection.

Road network distances and detours in Europe: Radial profiles and city size effects

The form and the size of cities influence their social, economic and environmental outcomes. The form of a city is itself influenced by the shape of its road network, but this relationship and how it is affected by city size are unclear. We analyse how road distances to the main centre vary across 300 European cities and how radial physical detours (i.e. the distance on the road network compared to the Euclidean distance) are affected by city size and extent. We use landuse and population data to sample potential residences and compute the fastest routes to the main centre. We find a linear relationship between road and Euclidean distances, and for the first time document an average radial physical detour of 1.343 across Europe. We then rescale distance bands so to make cities of different population size comparable and show the effect of different urban delineations. We find that physical detour ratios increase when core cities only are considered without suburbs. At the urban region scale, radial physical detours increase with city size, especially when other significant geographical factors (latitude, longitude, elevation change and proximity to coast) are controlled for. When the central part of cities only is considered, larger cities have smaller radial physical detours.

Family Mobilization With Stunting Case Toward Children Under Five Years Old In Indonesia: Literature Review

Stunting is the inadequacy of nutritional intake from the womb to the child at the age of five, which is indicated by the child having less length or height comparing to the age. In this study, the researcher linked family mobility as one of the factors causing the increasing case of stunting. The purpose of this literature study is to describe family mobilization with the stunting case in children under five in Indonesia. The research design used in this study was a traditional literature review. Articles are tracked using several search engines (Google Scholar, PubMed, Springer link, Sinta, and Plos One). The results of this study indicated that family mobilization in reaching health services can affect the nutritional status of children under five. The affordability of health services is caused by several factors such as road access, distance and travel time. It also relates to the family residence, the pattern of care provided, and the socio-economic status of the family which can cause children under five experiencing stunting. The conclusion in this study is that family mobilization such as a lack of family health attention in reaching health services, inadequate needs and a healthier lifestyle or low economic status, as well as a poor or lack parenting knowledge can cause children under five susceptible to infectious diseases so that the children are prone to stunting.

A local government area based Covid-19 vulnerability analysis in Nigeria.

Vulnerability to COVID-19 has been widely studied from varying perspectives, but susceptibility at the grassroots has not been adequately considered. The vulnerability of the 774 local government areas (LGAs) in Nigeria to COVID-19 and its predictors were determined using road distances from the two major entry airports in the country to each of the LGAs, socio-economic indices, quality of hygiene, and the level of exposure to mass media. LGA population data were obtained from the National Population Commission of Nigeria, while socio-economic and socio-demographic data were extracted from the 2018 NDHS report. Distances were determined with the aid of an online distance calculator, distantias. The single most important predictor was female non-exposure to mass media. Distances from the COVID-19 epicentres of Lagos and Abuja did not contribute much to the model. Thus, the result highlighted the strategic position of women in the African community and the potential of the mass media in disease control. The suppression of the established effect of distance suggests that vulnerability to COVID-19 in developing countries may not follow the path assumed in developed countries. Thus, the way to contain the disease in developing countries might be the active enlightenment of women.

Lime stabilised road batters: A laboratory simulation of site flood conditions using a customised erosion apparatus and sample digitisation

The structural benefits of lime stabilisation on clayey soil are widely appreciated. However, its potential in surface erosion contexts, particularly for road batters, has had less consideration. Compared to conventional concrete or vegetative batter protection, lime stabilisation could be a cost-efficient option in Western Queensland; where large road distances experience severe and variable flooding, funding is limited, vegetation is seasonal, and clayey soils are prevalent. The present study assesses the feasibility of trialling 6.7 km of lime stabilised road batters in the Flinders Highway in Western Queensland. Soils sampled from the site were treated with varying percentages of Quicklime and tested in a customised erosion apparatus, labelled the Surface Erosion Apparatus (SEA). With the aid of an ANSYS model, the SEA was designed to simulate shear stress acting along the batter during the 1 % Annual Exceedance Probability (AEP) flood at the project location (as estimated with a TULOW model). The SEA preserves the eroded surface, which facilitated a time-lapse observation of erosion and a post-erosion sample digitisation method to plot the Erosion Function. All levels of lime stabilisation recorded approximately ten times less erosion than untreated samples under 1 % AEP conditions, with an estimated Erosion Category of Low or Very Low Erodibility. Conclusive trends from the laboratory simulation suggested that lime stabilised road batters would be suitable for the trial project.

Impact of socioeconomic status and road distance to hospital on perforated appendicitis rates at a large rural referral centre.

Socioeconomic status and distance from hospital have been shown to be associated with poor surgical outcomes related to acute appendicitis. Indigenous populations experience greater socioeconomic disadvantages and poorer healthcare access than their non-Indigenous counterparts. This study aims to determine whether socioeconomic status and road distance from hospital are predictors of perforated appendicitis. It will also compare surgical outcomes of appendicitis between Indigenous and non-Indigenous populations. We performed a 5-year retrospective study of all patients who underwent appendicectomy for acute appendicitis at a large rural referral centre. Patients were identified using the hospital database for theatre events coded as appendicectomy. Regression modelling was used to determine if socioeconomic status and road distance from hospital were associated with perforated appendicitis. The outcomes of appendicitis between Indigenous and non-Indigenous populations were compared. Seven hundred and twenty-two patients were included in this study. The rate of perforated appendicitis was not significantly impacted by socioeconomic status (OR 0.993, 95% CI 0.98-1.006, P= 0.316) or road distance from hospital (OR=0.911, 95% CI 0.999-1.001, P= 0.911). Indigenous patients did not have a significantly higher rate of perforation compared to non-Indigenous patients (P= 0.849) despite having overall lower socioeconomic status (P= 0.005) and longer road distance from hospital (P= 0.025). Lower socioeconomic status and longer road distance from hospital were not associated with an increased risk of perforated appendicitis. Indigenous populations have poorer socioeconomic status and longer road distance to hospital but did not have higher rates of perforated appendicitis.

Abstract P135: Travel Time to Specialty Care and Risk of Death for Children With CHD

Introduction: Children with congenital heart disease (CHD) typically require care from a multi-disciplinary team of providers and treatment at specialized care centers. Although access to specialty care is known to influence patient outcomes, little is known regarding geographic access to care for children with congenital heart disease. This study calculated travel time to specialized care centers and the relationship with mortality for children residing in Colorado. Methods: We analyzed all payer claims data (APCD) from Colorado (CO) from 2012-2019. Travel times were calculated using a network analysis of the road distance weighted by travel speeds from the geographic centroid of every ZIP code in CO to that of the actual specialized care center. Specialty care centers were uniquely identified by their National Provider ID (NPI) and defined by categorizations from the American Medical Association (AMA). Mortality was defined by discharge status. Results: There were 27,344 children with CHD who received specialized care in the study period, accounting for 437,071 total encounters. Of the children with CHD, there were 355 deaths. Children that died had an average of 98 visits per year, while children that survived had an average of 70 visits (p=<0.001). Among the children who lived, 62.8% of their total specialty care visits were <30 minutes away, compared to 59.7% among those who died. CHD who died had a consistently higher proportion of visits that required greater travel to care. Conclusion: Specialized care centers are often located in urban areas and treat patients from diverse geographic areas. There is significant travel burden for children with CHD.

Traffic Noise at Moderate Levels Affects Cognitive Performance: Do Distance-Induced Temporal Changes Matter?

Urbanization leads to an increased demand for urban housing, which can be met by building dwellings closer to streets. Regulations often limit equivalent sound pressure levels which do not account for changes in time structure that occur when decreasing the road distance. This study investigates the effect of such temporal changes on subjective workload and cognitive performance. A group of 42 participants performed a continuous performance test as well as a NASA-TLX workload test under three different sound conditions, i.e., close traffic, far traffic, both with the same equivalent sound pressure level of LAeq≈40 dB, and silence. Additionally, participants answered a questionnaire regarding their preferred acoustic environment for concentrated working. Significant effects of the sound condition on the multivariate workload results as well as on the number of commission errors in the continuous performance test were found. Post hoc tests showed no significant differences between the two noise conditions, but there were significant differences between noise and silence. This indicates that moderate traffic noise levels can influence cognitive performance and perceived workload. If there is a difference in the human response to road traffic noise with constant LAeq but different time structures, the used methods are not suitable to detect them.

The Impact of Weather and Mode of Transport on Outcomes of Patients With Acute Ischemic Stroke Undergoing Mechanical Thrombectomy.

Efficient transfer to mechanical thrombectomy (MT)-capable centers is essential for patients with stroke. Weather may influence stroke risk, transportation, and outcomes. To investigate how weather affects stroke patient transfer and outcomes after MT. We retrospectively collected data for patients with stroke transferred from spoke to our hub hospital to undergo MT between 2017 and 2021. We examined associations between weather, transportation, and patient outcomes. We included 543 patients with a mean age of 71.7 years. The median National Institutes of Health Stroke Score increased from 14 to 15 after transportation. The median modified Rankin Scale was 4 at discharge and 90 days, and 3 at the final follow-up (mean 91.7 days). Higher daily temperatures were associated with good outcome, whereas daily drizzle was associated with poor outcome. More patients were transferred by air when visibility was better, and by ground during heavier precipitation, higher humidity, rain, mist, and daily drizzle, fog, and thunder . Patient outcomes were not associated with transportation mode. Among the independent predictors of good outcome, none was a weather variable. Lower hourly relative humidity ( P = .003) and longer road distance ( P < .001) were independent predictors of using air transportation, among others. During transportation, higher temperature was associated with good outcome, whereas daily drizzle was associated with poor outcome after MT. Although weather was associated with transportation mode, no differences in outcomes were found between transportation modes. Further studies are needed to modify transfer protocols, especially during cold and rainy days, and potentially improve outcomes.

LAND SUBSIDENCE SUSCEPTIBILITY MAPPING USING MACHINE LEARNING ALGORITHMS

Abstract. Land subsidence (LS) is one of the most challenging natural disasters that has potential consequences such as damage to infrastructures and buildings, creating sinkholes, and leading to soil destruction. To mitigate the damages caused by LS, it is necessary to determine the LS-prone areas. In this paper, LS susceptibility was assessed for Kashan Plain in Iran using Random Forest (RF) and XGBoost machine learning algorithms. For the susceptibility analysis, twelve influential factors including elevation, slope, aspect, curvature, topographic wetness index (TWI), groundwater drawdown (GWD), normalized difference vegetation index (NDVI), distance to stream (DtS), distance to road (DtR), distance to fault (DtF), lithology, and land use were taken into account. 291 LS points were used in this study which was divided into two parts of 70% and 30% for training and testing the models, respectively. The prediction power of the models and their produced LS susceptibility maps (LSSMs) were validated using the Root Mean Square Error (RMSE), R-Squared (R2), and Mean Absolute Error (MAE) values. The results showed that the XGBoost had a higher R² equal to 0.9032 compared to that of the RF which was equal to 0.8355. XGBoost model had an RMSE equal to 0.3764 cm compared to that of the RF model which was equal to 0.4906 cm. MAE for the XGBoost model was 0.1217 cm and for the RF model was 0.3050 cm. Therefore, the achieved results proved that XGBoost had better performance in this research for predicting LS values based on the measured ones.

One estimation method of road slope and vehicle distance

Aiming at the problem that the intelligent vehicle cannot accurately obtain the vehicle distance information when the front and rear vehicles are located on the road surface with different slopes, this paper proposes a road slope and vehicle distance estimation method based on vision’s and lidar’s information fusion. Firstly, the road lane line is detected by combining vision detection and lidar positioning ability, and the slope of the lane line is calculated. Then, we judge and analyze the slope ahead according to the change of the lane line slope, estimate the slope value according to the vanishing point coordinates. Finally, an improved distance estimation method adapted to the conditions of horizontal road surface and slope road surface is designed based on the combination of Lidar and camera. The experimental results show that the improved distance estimation model has good performance and can reach the accuracy of more than 95%.

A Sustainable Location Model of Transshipment Terminals Applied to the Expansion Strategies of the Soybean Intermodal Transport Network in the State of Mato Grosso, Brazil

The transport system is one of the main bottlenecks of the world’s largest producer and exporter of soybeans, Brazil. Long-distance truck transportation of grains increases costs, food waste, and CO2 emissions. To handle these problems, the Brazilian government seeks to expand the transportation system through the national transport logistics plan (PNLT), promoting efficient operations. Collaborating on the environmental aspect, this paper proposes sustainable logistic infrastructure for soybean transportation. Investigating the largest grain-producing state in the world, Mato Grosso (Brazil), we show the optimal location for capacitated transshipment terminals untangling the relationship between logistics and sustainability. Besides handling cargo truck costs and CO2 emission, the optimization model considers cities, road distances, transshipment terminals existents, terminals capacities, implementing costs, and locations near waterways and railways. In five scenarios with different combinations of waterways and railways, we contrast the cost of installing terminals and the total road distance traveled under different weights for the environmental components. The results indicate that it is possible to simultaneously obtain the minimum cost of installing transshipment terminals and to reduce emissions by 20% in all analyzed scenarios. We conclude that obtaining strategic solutions at lower costs can be combined with proper environmental responsibility. As contributions, the results allow for advances in the area of sustainable logistics, encouraging the development of new research in Brazil involving the dimensions of sustainability. In addition, the study supports the government’s strategic decisions regarding ongoing discussions on expanding the intermodal soy transport network in the country.

Building More Bridges: Indigenous leadership in a study assessing the impact of distance to care on markers of quality HIV care in Saskatchewan

Individuals in rural and remote areas face barriers to chronic disease care, including HIV. Saskatchewan has the highest HIV incidence among Canadian provinces and 35.6% of the population lives outside of an urban centre. In this study, we explored the relationship between distance to HIV care and markers of quality HIV care in Saskatchewan as part of the Canadian Observational HIV Cohort (CANOC). We used a Two-Eyed Seeing approach and honoured the experience of Indigenous team members living with HIV. The Positive Partnership Score (PPS) was the primary outcome (including frequency of viral load and CD4 measurements, baseline CD4 count, antiretroviral medication regimen and virologic suppression). Multivariable linear regression analysis was performed with distance to care defined in two ways: (1) categorical based on distance from home to HIV specialist care and (2) road distance from CANOC enrolment site. Two hundred and seventy-six individuals were included in the analyses. Living ≤25 km from a visiting HIV specialist (where no HIV specialist lives in the community permanently) and living >100 km from the closest HIV specialist (either visiting or permanent) were both associated with lower PPS compared to living ≤25 km from where an HIV specialist practises permanently. Each 10 km further from the CANOC enrolment site was associated with a 0.01-point reduction (95% CI-0.02, 0, P = 0.024) in PPS. Through a strength-based approach that was grounded in culture, connection, land and Ceremony, we demonstrated how Indigenous people with HIV can play a key role in research. Distance from care was associated with a poorer quality of HIV care in Saskatchewan highlighting the need for better rural HIV care.

A combined GIS, remote sensing and MCDM approach to find potential location for rainwater harvesting structure in northwestern part of Bangladesh

There has been a fresh water shortage in the Northwestern portion of Bangladesh. Rainwater is one of the finest boons of the nature which can reduce this problem. To utilize the rainwater properly, it is highly needed to make rainwater harvesting (RWH) structure in these regions. The major goal of this study is to find optimal sites for RWH structures to fulfill meet the needs of fresh water demand in Northwestern region of Bangladesh, by employing a multiple-criteria decision making technique based on geographic information systems. Seven spatial parameters, including, rainfall, land use & land cover, slope, soil texture, road distance, drainage density, physiography were included in this study's site appropriateness analysis for RWH structures. The ultimate suitable map which is acceptable for installing RWH structure had been broken down into four categories such as excellent, good, medium and poor regions. The categories occupy the study area's territory in the following order: 21.94%, 59.57%, 15.93%, 2.16%. The study's excellent appropriateness rating for developing RWH structures includes the districts of Sirajganj, Gaibandha, Kurigram, Rangpur, Thakurgaon, Dinajpur, Panchagar, and Nilphamari, while its low appropriateness index includes Pabna, Natore, Rajshahi, Nawabganj, Naogaon, Joypurhat, and Bogra. Last but not least, this research might also help policymakers, government officer to develop RWH structure in a suitable place to reduce the freshwater shortage problem.

Potential application of GIS and remote sensing to evaluate suitable site for livestock production in Northwestern part of Bangladesh

The livestock resources of Bangladesh are under tremendous strain due to several natural and anthropogenic causes. Especially in the Northwestern region of Bangladesh, these resources are more vulnerable to deterioration resulting from human actions, a lack of environmental and rangeland legislation, climate change, drought, poor management, and inadequate disaster mitigation plans. GIS based multicriteria decision analysis (MCDA) and remote sensing techniques have been used in this research to locate ideal land for sheep, goats, buffalo and cow production. In this study, the suitability analysis for livestock production has been considered in eight thematic layers: slope, land use & land cover (LULC), soil types, rainfall, water accessibility, road distance, relative humidity, and average temperature. Besides, this research had been used geospatial tools for combining these eight geographical layers, whenanalytical hierarchy process, aMCDA approach helped tomeasure the weight of each criterion. The final map that is perfect for raising cattle has been divided into four categories, such as low, medium, high and excellent. Each of these rangeland suitability groups has portions in the Northwestern region of Bangladesh that fall into the following percentages: 11.14%, 26.07%, 35.27%, and 27.53%. This research also depicts that the western part of the study region, which includes Thakurgaon, Panchagar, Dinajpur, Naogaon, Joypurhat and Bogra has a low suitability index for livestock production while the eastern region, which includes Kurigram, Nilphamari, Pabna, Lalmonirhat, Gaibandha, Rangpur and Sirajganj contributes to an excellent zone. The outcome of this study will be useful to identify the best places for livestock production in the Northwestern part of Bangladesh. Finally, this research may additionally assist government officials in creating environmental and rangeland strategies for the livestock population in the study area.

The experience of calculating distances between different types of settlements in Russia to assess the range of population migration

The problem of measuring distances in migration is not trivial, but important, for example, for delimiting the concepts of population migration and housing mobility. In conditions of limited access to detailed spatial data, researchers solve this issue in different ways. Only a few countries, such as Sweden, have the ability to calculate migration distances between point locations using Euclidean distance (in a straight line). In this article, as applied to Russia, the measure of correspondence between Euclidean distances and real distances along transport routes is investigated. For this purpose, 3407 pairs of distances were calculated for randomly selected 23 municipal districts of Russia directly and along transport routes - roads. Also, 411 pairs of distances were calculated for settlements with no auto connection, using air traffic. These distances give an idea of the migrations of different distances in Russia. As a result, for hypothetical resettlements within the selected municipal districts, real road distances exceed Euclidean distances by 51%. For resettlements between the centers of districts and urban districts within the region, this indicator exceeds 40%, and for interregional resettlements, the differences are 33%. The air service used “straightens” the distances, but even taking it into account, the real distances (mainly long-range, interregional) exceed the Euclidean ones by 28.5%. The calculations performed to give an idea of the deviations of real, transport distances from the relatively easy-to-calculate Euclidean ones, which can be used in the analysis of migration distances in Russia.

Regional Disparities in the Level of Economic Development in Nashik District: A Geographical Analysis

The present investigation was studying the regional disparities in level of economic development of Nashik district a geographical analysis. It was based on secondary data collected from different government organizations and in government reports. The data covered 2021-22. All the sectors of economic development indicators, cropping intensity, irrigation intensity, area under crops, electricity usage, working population, road distances, percentage of BPL family, were considered for this study. The Z score method was applied in analysing the measurement of economic development. The studied regional diversity which was found in economic development in the study region. High development was found in Nashik, Malegoan, Niphad and Baglan.tahsil while moderate economic development was recorded in Chandwad, Dindori, Sinnar and Yeola tahsils. Surgana, Kalwan, Deola, Nandgoan, Peint, Triembak and Igatpuri tahsil have recorded the lowest economic development. In comparison to other regions, Thus, physical features like topography, soil, rainfall, forest cover and manmade features like concentration of tribal population, percentage working population, crop and irrigation intensity were affected by uneven economic development in this study region. The present paper gave the geographical analysis of economic development in Nashik district during the period of 2021-22.

Simulation and Analysis of Land-Use Change Based on the PLUS Model in the Fuxian Lake Basin (Yunnan–Guizhou Plateau, China)

It is essential to study the characteristics of land use change in the Fuxian Lake basin, a plateau lake in Yunnan Province, and to predict the basin’s future trend of land use change for sustaining the key carriers of current national major strategies such as ecological civilization, green development, and rural revitalization. This study used the Fuxian Lake basin as the subject and based on the seven periods of historical land use data, added six driving factors including human and natural factors, applied patches to generate the land-use simulation model (PLUS), and forecasted and analyzed the characteristics of land-use change in the basin in 2048 under the three scenarios of natural trend development, ecological protection, and production protection. The results showed that: (1) the overall simulation accuracy of the model was 79.14%, Kappa index was 0.73, FOM value was 0.29, and the model’s consistency was high. The model can be used to simulate future land-use changes in the Fuxian Lake basin. (2) In the natural development scenario, land-use development and the driving factors in the basin have the following relationship: rainfall and trunk road distance significantly impacted the types of land that emphasize ecological conservation and product development. Elevation and soil distribution characteristics had a significant impact on land types focused mainly on water zones and ecological protection. The land types mainly focused on urban construction were greatly affected by elevation, trunk road distance, GDP per capita, and other factors. (3) The main direction of land-use change in the watershed is the mutual conversion between farmland and forest land, with the continuous expansion of construction land. In the production protection scenario, the area of farmland increased by 44.79 hm2. In the ecological protection scenario, the area of arbor forest land increased by 37.85 hm2 and the area of shrub forest land decreased by 62.37 hm2. (4) From the perspective of spatial distribution patterns, the regional hotspot change blocks are mainly concentrated in the north of the basin, along the coast of the north of Fuxian Lake, and the southern land. In general, the PLUS model had good applicability in this study. The simulation results of the different scenarios were in line with the land development in the Fuxian Lake basin and can provide scientific reference for land-space planning, ecological and production land constraints, and coordination of development in the Fuxian Lake basin.

Effects of Coastal Urbanization on Habitat Quality: A Case Study in Guangdong-Hong Kong-Macao Greater Bay Area

Coastal areas are usually considered as pioneering areas for economic development and reform due to their unique geographical locations and ecological conditions. Correspondingly, rapid urbanization in coastal urban agglomerations has resulted in population concentration and land use/cover change (LUCC), leading to the decline of habitat quality and biodiversity. However, few studies have quantitatively explored the impacts of urban agglomeration expansion in coastal zones on habitat quality. Taking the Guangdong-Hong Kong-Macao-Great Bay Area (GBA) as a case study, we applied the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model to assess the habitat quality based on land use data obtained from remote sensing images from 1980 to 2020 and developed a geographically weighted regression model to quantitatively analyze the response of habitat quality to urbanization. The results showed that (1) LUCC in the GBA was dramatic from 1980 to 2020, dominated by the shift from various land use types to construction land, which led to increased fragmentation; (2) the overall habitat quality showed a decreasing trend, characterized by low values in the central part and high values in the surrounding area; (3) population and construction land such urbanization elements had a more significantly negative effect on habitat quality changes, while the relationships among slope, road distance, and habitat quality changes were complex. Based on above analysis, this paper suggests that future land management in the GBA should develop in the direction of intensification, refinement, and regional integration.