Travel Distance Research Articles

Exploring the Effect of Road Network Structure on Inter-Regional Accessibility in a Diverse Road Network

Abstract. Accessibility analyses quantify the level of access to certain areas or opportunities, such as employment and healthcare facilities. Since public data is often aggregated at the level of regions, such as administrative units, it is useful to quantify accessibility between regions. Many factors influence inter-regional accessibility, most notably the accessibility metric used, and the way in which regions are chosen. This paper investigates the effects of road network structure on accessibility, using a previously developed inter-regional accessibility model that bases its accessibility metric on travel distance via the road network. This paper considers an area within the City of Tshwane municipality in South Africa. We investigate the effects of road structure in two ways. Firstly, regions are chosen based on the road network structure, which is done by extending a previously developed road network clustering algorithm for this novel use. Different spatial scales of regionalisation are considered, and the accessibility between these regions is compared to the accessibility between administrative units within the study area. Secondly, the effect of road network homogeneity on accessibility is investigated, where homogeneity corresponds to a uniform concentration of roads across a region. The results show that although road network homogeneity does not significantly correlate with accessibility, the way in which regions are chosen and their spatial scale has a strong effect on the results of the accessibility model. Our novel method of obtaining regions thus provides fresh insights into road-based accessibility within the City of Tshwane.

Interfacility Transfer of Children With Time-Sensitive Surgical Conditions, 2002-2017

Surgical care for children in the United States has become increasingly regionalized among fewer centers over time. The degree to which regionalization may be associated with access to urgent surgical care for time-sensitive conditions is not clear. To investigate whether transfers and travel distance have increased for 4 surgical conditions, and whether changes in transfers and travel distance have been more pronounced for rural vs urban children. This retrospective cross-sectional study analyzed data from 9 State Inpatient Databases from 2002 to 2017. Participants included children aged younger than 18 years undergoing urgent or emergent procedures for malrotation with volvulus, esophageal foreign body, and ovarian and testicular torsion. Residential and hospital zip codes were categorized as rural or urban. Hospitals were categorized as pediatric hospitals, adult hospitals with pediatric services, and adult hospitals without pediatric services. Primary outcomes were transfer for care and travel distance between patients' home residences and the hospitals where care was provided. Transfer and travel distance were analyzed using multivariable regression models. Among the 5865 children younger than 18 years undergoing procedures for malrotation with volvulus, esophageal foreign body, ovarian torsion, or testicular torsion, 461 (7.9%) resided in a rural area; 1097 (20.5%) were Hispanic, 1334 (24.9%) were non-Hispanic Black, and 2255 (42.0%) were non-Hispanic White; 2763 (47.1%) were covered by private insurance and 2535 (43.2%) were covered by Medicaid; and the median (IQR) age was 9 (2-14) years. Most care was provided at adult hospitals (73.4% with and 16.9% without pediatric services); the number of hospitals providing this care decreased from 493 to 292 hospitals (2002 vs 2017). Transfer was associated with rural residence (adjusted odds ratio [aRR], 2.3 [95% CI, 1.8-3.0]; P < .001) and increased over time (2017 vs 2002: aOR, 2.8 [95% CI, 2.0-3.8]; P < .001). Similarly, travel distance was associated with rural residence (adjusted risk ratio [aRR], 4.4 [95% CI, 3.9-4.8]; P < .001) and increased over time (2017 vs 2002: aRR, 1.3 [95% CI, 1.2-1.4]; P < .001). Rural children were more frequently transferred (2017 vs 2002) for esophageal foreign body (48.0% [12 of 25] vs 7.3% [4 of 55]; P < .001), ovarian torsion (26.7% [4 of 15] vs 0% [0 of 18]; P = .01), and testicular torsion (18.2% [2 of 11] vs 0% [0 of 16]; P = .04). Travel distance for rural children increased the most for torsions, from a median (IQR) of 19.1 (2.3-35.4) to 43.0 (21.6-98.8) miles (P = .03) for ovarian torsion and from 7.3 (0.4-23.7) to 44.5 (33.1-48.8) miles (P < .001) for testicular torsion. In this cross-sectional study of children with time-sensitive surgical conditions, the number of hospitals providing urgent surgical care to children decreased over time. Transfers of care, especially among rural children, and travel distance, especially for those with ovarian and testicular torsion, increased over time.

Analyzing the Impact of COVID-19 on Travel and Search Distances for Prominent Landmarks: Insights from Google Trends, X, and Tripadvisor

Analyzing the Impact of COVID-19 on Travel and Search Distances for Prominent Landmarks: Insights from Google Trends, X, and Tripadvisor

Active travel in the university setting: Assessing the effects of social behavior, socioeconomics, and spatial location

University campuses are pooling efforts to promote active mobility to reduce their negative impacts on the urban environment, which is significantly influenced by the overreliance on motorized modes of transport. Providing sufficient and safe accessibility conditions for active travel has been highlighted as a crucial strategy for transforming campuses into more livable and sustainable areas in cities. To further explore the likelihood of active mobility uptake at university campuses, this study explored university students’ mobility patterns over time, examining the role of social behavior, socioeconomics, and spatial location factors. The Faculty of Engineering at the University of Porto, Greater Oporto, Portugal, provided the empirical focus for this research. The data analyzed were acquired through surveys of representative samples and spatial analysis over the academic years of 2012, 2017, and 2023. The statistical analysis explained the tendencies and multifactorial influences on travel behavior among university students. Results indicated that travel distance is associated with housing options and travel costs, whereas access to a metro station was associated with walking or cycling. Hence, this study contributed to a deeper understanding of active travel behavior. It provided insights to guide planning practitioners and decision makers in creating integrated transport policy packages that address the barriers and needs of the university community and the surrounding neighborhoods.

Comparative Analysis of Electric and Conventional Vehicles Performance in the Evacuation Process of Mount Semeru Eruption Victims Based on Geographic Information Systems

The Lumajang Regency is highly vulnerable to various natural disasters, particularly the potential eruption of Mount Semeru. In disaster response efforts, the local government needs to prepare effective and efficient evacuation routes, taking into account the magnitude of the eruption impact in the Semeru disaster-prone area. This research focuses on evacuating vulnerable residents using electric and conventional vehicles. This study is categorized as a vehicle routing problem with energy constraint (VRPEC) because the electric vehicles utilized in this research do not require recharging during their operational process, ensuring rapid evacuation as it is essential. By utilizing Geographic Information Systems (GIS)-based optimization, the best route to evacuate all victims within 12 h is determined. This study involves developing scenarios considering the number of vehicles and their travel distances. There are also evacuation guidelines, including the implementation of priority points and evacuation zone usage. The research results indicate that scenarios EV 5, 8, and 10 are the most optimal for using electric vehicles. Meanwhile, the optimal scenario for conventional vehicles is scenario 5. This analysis shows that implementing electric vehicle scenarios is superior to conventional vehicle scenarios in terms of the total time required to evacuate all victims.

Transportation Mode Selection Preferences for Persons with Disabilities in the Disability-Friendly City of Yogyakarta

A disability-friendly city is a city that meets all the needs of people with disabilities according to service standards in education, health, employment, rehabilitation, social needs, and transportation. The Yogyakarta City Government has declared itself as a ‘Disability Friendly City’ since 2015. To fulfill the movement needs of people with disabilities, the Yogyakarta City government provides mass public transport, Trans Jogja. In addition to Trans Jogja, there are other modes, namely Difa Bike, two-wheeled private, public transportation, four-wheeled private, public transportation, and private vehicles. This study aims to determine the transportation mode selection preferences for persons with disabilities in Yogyakarta City as a Disability Friendly City. This study uses multiple linear regression analysis to determine the factors influencing persons with disabilities in choosing transportation modes. This study's findings state that most people with disabilities prefer private vehicle modes based on influential factors: travel destination, travel distance, travel time, transportation costs, and vehicle ownership.

Influence of particle lithology, size and angularity on rates and products of bedload wear: An experimental study

AbstractPhysical wear during bedload transport influences downstream changes in the size distributions and shapes of riverbed sediment, which in turn affect myriad fluvial processes ranging from incision into bedrock to provision of aquatic habitat. Here we use laboratory tumbling experiments to address several remaining knowledge gaps, including the roles of lithologic susceptibility to fragmentation, particle size distributions and particle angularity in controlling wear rates and the size distribution of wear products. To focus on the dynamics of particle wear in headwater channels, we used initially angular sediment and ran the experiments until 10% of the initial bedload particle mass had been lost to fine‐grained wear products. We measured individual particle mass and diameter by hand and used photo analysis to quantify particle shape and angularity. We find strikingly different wear patterns between limestone and welded tuff. Although wear rates in the tuff were an order of magnitude slower than the limestone, tuff wear was primarily by fragmentation while limestone wear was dominantly by attrition. Fragmentation of the tuff resulted in a widening of the bedload size distribution, a lack of consistent particle rounding and a fine‐wear product dominated by sand. In contrast, limestone particles rounded substantially and produced silt‐sized wear products. Differences in wear product size and susceptibility to fragmentation may reflect contrasts in the size distribution of mineral crystals in each lithology. Wear rates in both rock types declined substantially with increasing cumulative mass loss, due to rounding in the limestone and reduced fragmentation in the tuff. These results suggest that applications of the conventional exponential model to predict mass loss with travel distance need to account for lithologic influence on susceptibility to fragmentation and the influence of rounding on particle wear rates.

Spatial Analysis of Middle-Mile Transport for Advanced Air Mobility: A Case Study of Rural North Dakota

Integrating advanced air mobility (AAM) into the logistics of high-value electronic commodities can enhance efficiency and promote sustainability. The objective of this study is to optimize the logistics network for high-value electronics by integrating AAM solutions, specifically using heavy-lift cargo drones for middle-mile transport and using the mostly rural and small urban U.S. state of North Dakota as a case study. The analysis utilized geographic information system (GIS) and spatial optimization models to strategically assign underutilized airports as multimodal freight hubs to facilitate the shift from long-haul trucks to middle-mile air transport. Key findings demonstrate that electronics, because of their high value-to-weight ratio, are ideally suited for air transport. Comparative analysis shows that transport by drones can reduce the average cost per ton by up to 60% compared to traditional trucking. Optimization results indicate that a small number of strategically placed logistical hubs can reduce average travel distances by more than 13% for last-mile deliveries. Cost analyses demonstrate the viability of drones for middle-mile transport, especially on lower-volume rural routes, highlighting their efficiency and flexibility. The study emphasizes the importance of utilizing existing infrastructure to optimize the logistics network. By replacing truck traffic with drones, AAM can mitigate road congestion, reduce emissions, and extend infrastructure lifespan. These insights have critical implications for supply chain managers, shippers, urban planners, and policymakers, providing a decision support system and a roadmap for integrating AAM into logistics strategies.

Uncovering disparities in water-based outdoor recreation using cell phone mobility data

Abstract Outdoor recreation plays a pivotal role in improving people’s physical and mental health, serving as a popular form of entertainment and a significant economic contributor. Limited access to these resources not only exacerbates health disparities but also deprives underserved areas of essential benefits like stress relief and community bonding, both of which are crucial for enhancing overall quality of life. This paper provides one of the first detailed analyses of water-based recreation at over 61 000 inland and coastal sites across the United States. We aim to explore disparities in recreational behavior across race, ethnicity, income, and socioeconomic status. Using Advan cellphone data from more than 70 million outdoor trips, representing 215 000 census block groups, we find that communities of color, rural areas, and socioeconomically disadvantaged groups are significantly underrepresented in water-based recreational visits. Despite living similar distances from recreational sites, these groups show notably different patterns in travel distance for water-based recreation. Additionally, we find Native Americans from underserved areas have to travel 3–5 times longer distances than other groups for water-based recreation. Our findings show that the extensive and frequent cellphone mobility data could reveal policy-relevant patterns especially those made by underserved Americans often overlooked in traditional household surveys.

Elasto-inertial focusing and rotating characteristics of ellipsoidal particles in a square channel flow of Oldroyd-B viscoelastic fluids

The elasto-inertial focusing and rotating characteristics of spheroids in a square channel flow of Oldroyd-B viscoelastic fluids are studied by the direct forcing/fictitious domain method. The rotational behaviours, changes in the equilibrium positions and travel distances are explored to analyse the mechanisms of spheroid migration in viscoelastic fluids. Within the present simulated parameters (1 ≤ Re ≤ 100, 0 ≤ Wi ≤ 2, 0.4 ≤ α ≤3), the results show that there are four kinds of equilibrium positions and six (five) kinds of rotational behaviours for the elasto-inertial migration of prolate (oblate) spheroids. We are the first to identify a new rotational mode for the migration of prolate spheroids. Only when the particles are initially located at a corner and wall bisector, some special initial orientations of the spheroids have an impact on the final equilibrium position and rotational mode. In other general initial positions, the initial orientation of the spheroid has a negligible effect. A higher Weissenberg number means the faster the particles migrate to the equilibrium position. The spheroid gradually changes from the corner (CO), channel centreline (CC), diagonal line (DL) and cross-section midline (CSM) equilibrium positions as the elastic number decreases, depending on the aspect ratio, initial orientation and rotational behaviour of the particles and the elastic number of the fluid. When the elastic number is less than the critical value, the types of rotational modes of the spheroids are reduced. By controlling the elastic number near the critical value, spheroids with different aspect ratios can be efficiently separated.

Access to National Cancer Institute-Designated Cancer Centers Among Native American Cancer Patients

Introduction/Purpose Native Americans (NAs) are subject to high cancer mortality rates in the USA. Despite that, they face significant geographic barriers to access to cancer care. This study aims to estimate the travel distance to a National Cancer Institute (NCI)-designated cancer center for NA patients in Utah and the continental USA. Methods This IRB-approved study utilized retrospective data on genitourinary cancer patients from both NAs and white populations from February 2013 to January 2023. The distance of their geographical location to the Huntsman Cancer Institute (HCI) at the University of Utah was calculated using their home zip code and a GeoData ZIP Code Distance Calculations Matrix Template. A shapefile containing NCI-designated cancer centers was used alongside the Area Deprivation Index (ADI), matched to block groups from the 2020 census, to serve as a national control group. All geographic data was visualized in ArcGIS 10.7 by using the coordinates and a 5-digit zip code tabulation area to map locations. Results A total of 468 NA patients were eligible and included. The median travel distance for NA patients vs. white patients to HCI was 190.6 miles (range: 1.1-596.4 miles) vs. 21.6 miles (range: 1.1-269 miles, p&lt;0.0001). In the continental US, the median travel distance from NA reservations vs. ADI-matched block groups to the nearest NCI-designated cancer centers was 186.5 miles (range 77.8-629 miles) vs. 159 miles (range 1.9-671.3 miles, p&lt;0.01). Conclusion The travel distance to NCI-designated cancer center for NA cancer patients in Utah was around nine times longer than that of white cancer patients. This study highlights the significant disparity in cancer care accessibility faced by NA communities.

Enhancing Maneuverability in a Variable Wheelbase Wheeled Mobile Robot Through Dynamic Steering Curvature Control

ABSTRACTVariable wheelbase wheeled mobile robot (VW‐WMR) is capable of maneuvering flexibly and traversing on rough and soil terrains within confined spaces. While the steering radius of the robot model can be robustly changed by the variable wheelbase length, a challenge is posed in accurately tracking a predefined trajectory through the alteration of wheelbase length. A dynamic steering curvature (DSC) control method is proposed in this work to overcome this challenge, which is achieved by two different approaches utilizing the variable wheelbase length and manipulating drifting motions. First, to enable flexible trajectory adjustments, a 3D Ackermann kinematics model, incorporating the lifting motion of the robot box, is developed to control steering curvature by the changes in wheelbase length. Second, to achieve flexible movement for the inner and outer curves of the originally planned curvilinear trajectory, Ackermann drift models are presented by the establishment of two sequence instantaneous centers. Furthermore, the control performance of DSC is validated through simulation experiments on the ROSTDyn Vortex platform, using a six‐wheeled VW‐WMR named HIT‐MRII robot. The effectiveness of DSC for strategically altering the robot's motion trajectory is demonstrated by the results, which show the relation between the changed trajectory position and the variation in wheelbase length, and the variation in the radii of the instantaneous centers (ICs) in the Ackermann drift model, respectively. In addition, the high maneuverability of the robot using the Ackermann model is proven by physical experiments during steering motions on soil terrain. A comprehensive advantage is demonstrated by the results via Ackermann models, which include shorter runtimes, moderate travel distances, and moderate variations in force on the wheels, compared to different velocity, crabbing motion, and equivalent bicycle models.

Travel mode choice behavior analysis using multinomial logit models towards creating sustainable college campus: a case study of the University of Toledo, Ohio

By employing descriptive statistics and multinomial logistic regression models, the paper investigates factors that affect the travel mode choice behavior of a college community for both commuting to the campus from their residences and commuting on campus from one facility to another. Results show that car ownership, travel distance, age, gender, academic status, income, perception of safety, number of weekly trips, and weather conditions affect people’s mode choice decisions significantly. The study finds that increasing travel distance, age, and being a staff member positively impact car mode choice, faculty members are more likely to bike and walk compared to undergraduate students, and unlike the authors’ predictions, the higher-income people are more likely to walk on campus. Results also reveal that car users change travel modes more often than active transport mode users based on semesters and that although women are less likely to bike to the campus, they are more likely to walk and bike on campus. If the number of trips increases, people prefer cars to walk, bike, and ride a bus to commute to the campus while they prefer walking to driving a car on campus. The study contributes to help create pollution-free and healthy urban college campuses that, on larger scales, will further contribute to developing sustainable cities to achieve the Sustainable Development Goals as described by the United Nations, particularly goal number 11, “to make cities and human settlements inclusive, safe, resilient and sustainable,” and thereby contribute to improving urban living conditions.

Motivations behind Active Sport Tourists Participating in Natural and Cultural Landscapes

Recreational running, both on roads and in mountains, is one of the most practiced physical activities worldwide, and so, the motivations behind participating have been quite extensively described in the literature. However, the cultural and environmental motivations behind these athletes traveling to other countries or destinations to compete have not been properly addressed yet. The aim of this research is to analyze the motivations of sport tourists and to compare the motivations that cause mountain runners and city runners to compete. A cross-sectional study with a total of 244 athletes, divided into a group of city marathon runners (N = 118) and a group of mountain ultra-marathon runners (N = 126), was conducted. Athletes completed the Sports Tourism Motivation Scale (STMS), composed of 37 items and nine dimensions, through an online survey. Participants were asked questions related to their age, running experience, distance to events, numbers of nights in hotels and volunteering. The results showed that there were statistically significant differences in four out of the nine dimensions of the STMS between city and mountain runners’ motivations and, likewise, statistical differences were found in some dimensions of the scale related to participants’ sex, age, running experience, numbers of nights in a hotel, travel distance and volunteering. In conclusion, the reasons why runners participate in mountain and city running events are different; likewise, some sociodemographic variables should be taken into account when organizing such sporting events in a sustainable way, in order to provide organizers with the most suitable information and attract the most participants.

Steel Plate Cutting Path Optimisation Problem Based on Euler's Theorem and Greedy Algorithm

Steel plate cutting as one of the key technologies in the field of machining, planning the optimal path and reducing the air distance can improve the cutting efficiency of the steel plate, and improving the cutting efficiency is the most critical step in the machining process. In this paper, we analyze the main reasons for the generation of empty paths and make the assumption of cutting the whole part at once while cutting the part. On this basis, Euler's theorem and greedy algorithm are used to find the proximal point of the cutting path from the outer contour to the inner contour, and to plan the optimal path and the resulting shortest air distance for a given cutting of the outer contour of the serrated steel plate as well as the cutting of different shapes of parts in the inner part of the serrated steel plate. The resulting shortest air travel distance is 31.5536 by matlab.

Barriers to Cardiac Rehabilitation Enrollment and Secondary Prevention Adherence in Patients with Coronary Heart Disease Following Percutaneous Coronary Intervention: A Cross-sectional Survey.

This study aimed to evaluate adherence to secondary prevention measures and to identify barriers to cardiac rehabilitation enrolment among patients with coronary heart disease after percutaneous coronary intervention. An observational cross-sectional survey was conducted through computer-assisted telephone interviews to assess recently treated percutaneous coronary intervention patients at the Prince Sultan Cardiac Center in Saudi Arabia. Out of 104 surveyed patients with coronary heart disease, 85 (82%) were male, with an average age of 59.5 years. The obesity rate was 28% (n = 29), with a high prevalence of comorbidities: 82 (79%), 63 (61%), and 62 (60%) patients had hyperlipidemia, diabetes, and hypertension, respectively. Despite high medication compliance (97%), adherence to secondary prevention measures was low (21%). Adherence to physical exercise and weight monitoring for fluid body build-up was notably poor at 35% and 9%, respectively. Only 11 (10.6%) patients were referred for cardiac rehabilitation, of whom only four (36.4%) attended. Significant barriers such as a lack of staff contact, insufficient physician support, and distance to cardiac rehabilitation facilities were particularly noted by 69% of rural patients. This study underscores the significant cardiac risk factors and low adherence to secondary prevention measures among post revascularization patients with coronary heart disease in Saudi Arabia. Low referral and other organizational barriers, as well as the travel distance to hospital-based cardiac rehabilitation, hinder program enrolment. To improve cardiac rehabilitation accessibility, it is crucial to revise the discharge plans, implement automated referral systems, expand the services across all regions, and utilize alternative delivery models.

Social influence on drug use and sexual behaviors among rural LGBTQ+ individuals

ABSTRACT Background: Traveling to meet sexual partners and substance use are associated with increased risk of infectious disease. It is important to understand what factors may increase substances use or increased infection transmission risk (IITR) sexual behaviors among rural LGBTQ+ individuals. Objective: This study investigates substance use and sexual behaviors associated with increased infection transmission risk among rural LGBTQ+ individuals, and how these are associated with relationship type (friends or romantic partners) and travel distance. Methods: Participants (18 years+, identify as LGBTQ+, and provided a $25 gift card) were recruited from Illinois (25 counties), in 2021. Data included demographics, sexual and drug use behaviors, and assessed how these behaviors varied by relationship type and distance traveled (e.g. when meeting friends out-of-state). Results: The 398 participants were 79.1% White and 12.3% Black. By orientation, 29% heterosexual, 36% gay/lesbian, and 35% bisexual/other. By identity, 43% cisgender male, 51% cisgender female, and 6% genderqueer/other. Alcohol use while visiting out-of-state friends was more frequent among transgender (vs cisgender men; OR = 9.686, 95% confidence interval = 2.123-44.19), and individuals traveling > 1/month (all p < .050). Infection-related sexual behaviors while visiting out-of-state romantic partners was more frequent among prescription medication misuse (all p < .050) and traveling > 1/week (vs < 1/month; OR = 3.399, 95% CI = 1.037-11.144). Conclusion: This study of rural LGBTQ+ identified that alcohol use was associated with travel to visit out-of-state romantic partners, and prescription medication misuse increased infection-related sexual behavior during out-of-state travel. Health professionals can develop substance use and increased infection transmission risk sexual behavior interventions on gender minority groups in rural areas and target those who are traveling.

12261 Association Of Geographic And Demographic Factors With Receipt Of Endocrinology Care Among Adults With T2D And ASCVD Before And After Telemedicine Uptake

Abstract Disclosure: M. Zupa: None. J. Bauer: None. S. Rothenberger: None. Y. Zheng: None. A. Johnson: None. E. Kinnee: None. A. Rosland: None. Care from endocrinologists has been linked to improved care quality and uptake of novel treatments which may improve outcomes for adults with T2D and ASCVD, who are at high risk for adverse health outcomes. However, transportation, geographic, and other barriers may impact access to specialty care for under-resourced populations. We sought to evaluate the impact of patient-level geographic and sociodemographic factors on receipt of endocrinology care before and after widespread telemedicine uptake. We conducted a retrospective cohort study of adults with T2D and ASCVD in a large health system from 1/2018-6/2022. ZIP Code centroids were used to map patients to their home geographic area, and multivariable logistic regression models evaluated associations between sociodemographic and geographic predictors with receipt of endocrinology care. Analyses were stratified into pre- (1/1/2018-3/15/20) and post- (3/16/2020-6/30/2022) telemedicine periods. Mixed effects models tested for differences in associations between the pre- and post-telemedicine periods. The cohort included 9,546 patients, with mean age 68.5 (SD 10.0), 39% female, 89% white, 83% urban residents; 1,725 patients received endocrinology care. In the pre-telemedicine period, geographic factors associated with receipt of endocrinology care included distance to the nearest endocrinology clinic (aOR 0.74 (95% CI 0.64-0.84) per 10 miles) and neighborhood walkability (aOR 1.38 (1.00-1.91) per 10 point increase on 0-20 scale); sociodemographic factors included age (aOR 0.70 (0.66-0.75 per 10 years), male gender (aOR 0.81 (0.72-0.92), race (aOR 1.21 for Black vs white, aOR 2.55 for Asian vs white, p=0.003), social deprivation index (0.95 (0.91-0.99) per 10 point increase on 0-100 scale, with higher values indicating more local area deprivation), and comorbidity burden (aOR 1.27 (1.02-1.59) for Elixhauser score 14+ vs &amp;lt;0, p&amp;lt;0.001). In the post-telemedicine period, distance to endocrinology clinic (aOR 0.82 (0.73-0.93) per 10 miles), age (aOR 0.67 (0.63-0.71) per 10 years), male gender (aOR 0.83 (0.74-0.94)), and comorbid conditions (aOR 1.13 (0.90-1.43) for Elixhauser score 14+ vs &amp;lt;0, p&amp;lt;0.001) were associated with receipt of endocrinology care. In mixed models comparing pre- vs. post-telemedicine periods, travel distance to endocrinology clinic, race, and social deprivation index had weaker associations with receipt of endocrinology care in the post-telemedicine period compared to pre-telemedicine, while older age was more negatively associated with care receipt post-telemedicine. These findings indicate that both geographic and sociodemographic factors impact receipt of endocrinology care among high-risk adults with T2D and ASCVD. Widespread availability of telemedicine may be associated with more equitable access to endocrinology care for some under-resourced populations. Presentation: 6/3/2024

The effects of tropical cyclone on the container shipping network: A case study of typhoon Ma-on (2022)

As climate change intensifies, tropical cyclones pose increasing challenges to container shipping networks (CSN). However, research related in this area remains insufficient. In this study, we analyzed the effects of Typhoon Ma-on on the CSN using over 776 million Automatic Identification System (AIS) trajectory signals. Our findings reveal that the typhoon not only altered the network structure of the CSN but also affected the importance of container ports, vessel flow, and travel distance fluctuations along shipping routes. After the typhoon, the recovery of the network’s connectivity and stability, as well as travel time fluctuations, was less robust compared to other aspects. Additionally, the impact ranges for port importance, vessel flow, and travel distance fluctuations were 1,750 km, 500 km, and 2,250 km, respectively, following an inverse distance decay pattern. These findings offer new insights for stakeholders to enhance the effectiveness of disaster prevention and mitigation policies.

The Universal Neighborhood Effect Averaging in Mobility-Dependent Environmental Exposures.

The neighborhood effect averaging problem (NEAP) is a fundamental statistical phenomenon in mobility-dependent environmental exposures. It suggests that individual environmental exposures tend toward the average exposure in the study area when considering human mobility. However, the universality of the NEAP across various environmental exposures and the mechanisms underlying its occurrence remain unclear. Here, using a large human mobility data set of more than 27 000 individuals in the Chicago Metropolitan Area, we provide robust evidence of the existence of the NEAP in a range of individual environmental exposures, including green spaces, air pollution, healthy food environments, transit accessibility, and crime rates. We also unveil the social and spatial disparities in the NEAP's influence on individual environmental exposure estimates. To further reveal the mechanisms behind the NEAP, we perform multiscenario analyses based on environmental variation and human mobility simulations. The results reveal that the NEAP is a statistical phenomenon of regression to the mean (RTM) under the constraints of spatial autocorrelation in environmental data. Increasing travel distances and out-of-home durations can intensify and promote the NEAP's impact, particularly for highly dynamic environmental factors like air pollution. These findings illuminate the complex interplay between human mobility and environmental factors, guiding more effective public health interventions.