The development of transportation networks has constantly increased the cross-boundary flow of people, logistics, and capital. However, when the cross-boundary flows span two regions with different political systems, cross-boundary mobility studies become difficult to perform due to the unavailability of reliable and direct research data. Consequently, in-depth and fine-scale cross-boundary mobility

Real-time population data are vital for urban planning and resource management for sustainable development. To complement satellite-based population estimation methods, geospatial social media data provide additional opportunities to estimate the distribution of population with high levels of efficacy and accuracy. Thus, this study attempts to assess the performance of various sensing data to disaggregate

Social capital provides important health, economic, and community benefits. While there are several types of social capital, that which is characterized by connections between diverse individuals from different social groups is thought to be particularly valuable. Despite the fact that both socio-demographic diversity and social capital exhibit significant spatial variation across the United States

Reservoirs represent a specific environmental component in many parts of the Earth, especially where water supply is limited. As is the case of the Moldavian hilly area, due to its dryness, the inhabitants created an extensive network of reservoirs since the medieval period, in the proximity of the settlement network. Over time, many dams were abandoned, while others have been relocated with impressive

Railway design is complex and closely linked to environmental concerns. To solve this problem, a two-stage method considering three categories of environmental factors (topography, ecology and geology) is proposed and demonstrated by being applied to a real-world case in China. The first stage focuses on environmental impact assessment. An elevation accessibility map is generated by determining railway

In many coastal areas, high numbers of recreationists may exceed ecological capacities. Careful monitoring of visitor flows is a first prerequisite for coastal area management. We show how AIS ship data can be translated into interpretable information on recreational boats and investigate whether AIS can provide monitoring information when compared to nature conservation policy targets. In the Wadden

The integration of local perceptions and scientific evidence is important for developing comprehensive understandings of the complexities of climate change in sub-Saharan Africa (SSA). However, the literature on climate change and variability (CCV) trends for the region has largely focused on either local or scientific knowledge with less insight into their integration. Responding to this lacuna, a

No one can deny the importance of fans in spectator sports. Sports fans' tweets are an excellent big data source for investigating large-scale spatial-temporal dynamics of fan behavior. Using tweets related to the 2019 National Basketball Association (NBA) Finals between the Toronto Raptors and the Golden State Warriors, we conducted exploratory analyses of fan behavior dynamics and validated the fan

Modeling the fine-scale spatiotemporal distribution of residential land prices (RLPs) is the basis for scientifically allocating land resources, managing the residential market and improving urban planning. The accurate mapping of the RLP dynamics require reliable land price prediction models and data with fine spatial and temporal resolution. With the aid of point of interest (POI) data and nighttime

Urban park patronage is intimately linked to the thermal comfort level perceived by visitors. This study quantified the effects of nine park-design and urban-landscape parameters on air temperature and relative humidity in summer by deploying 100 sensors in 14 urban parks in Hong Kong. The field data were compared with a reference weather station and analysed with multiple regression. The sampled parks

Shenzhen's meteoric urban growth is unprecedented, and its housing prices position it among the world's top five most expensive cities. Commonly understood as a ‘miracle city,’ ‘instant city,’ and ‘model city’ orchestrated by the central state in modern experimental urban planning, the local context and the role of the SEZ are a neglected spatiality in housing studies focusing on Shenzhen. Drawing

Metropolitan internal migration is an important process driving urban structure and settlement patterns. This research explores the geographical movement of metropolitan migration in Melbourne at a disaggregate spatial scale. Several spatially based techniques are employed, from which the complex patterns of migration are identified. The implications of migration movements for urban structure and infrastructure

Chinese cities have changed from an egalitarian work unit based residential system toward a diversified housing estate-based neighborhood system under market-oriented reform and housing commercialization. It is important to understand the dynamics of residential mobility and the emerging pattern of the diversified new urban residential neighborhoods in Chinese cities. In this study, we examined the

This study examines the effectiveness of a crowdsourced participatory Geoweb data reporting application, known as SeeClickFix, related to flood events in the context of socioeconomic and biophysical vulnerabilities. Empirical data analysis to determine the socio-spatial characteristics of flood-related reporting trends between 2013 and 2017 from four diverse neighborhoods highlights two important capabilities

Miami-Dade County is highly susceptible to storm surge flooding. The current Federal Insurance Rate Map (FIRM), used to determine flood insurance rates for buildings, is an excellent resource yet lacks attributes that could provide a finer-resolution of actual vulnerability for building level characteristics from one parcel to the next within the same flood zone. This study developed a novel Storm

Applied Geography is a journal devoted to the publication of research which utilizes geographic approaches (human, physical, nature-society and GIScience) to resolve human problems that have a spatial dimension. These problems may be related to the assessment, management and allocation of the world's physical and/or human resources. The underlying rationale of the journal is that only through a clear

In the study of local-level food security, terms such as food variety, availability, accessibility and utilization represent quantitative metrics to describe one's relationship to the tangible and intangible food environment. Food availability entails how close one is located to the nearest food location. These locations could be healthy and fresh food as applied explicitly to the study food deserts

With the rapid spread of COVID-19 related cases globally, national governments took different lockdown approaches to limit the spread of the virus. Among them, the Government of India imposed a complete nationwide lockdown starting on March 25, 2020. This presented a unique opportunity to explore how a complete standstill in regular daily activities might impact the local environment. In this study

We used nine years of geotagged social media posts uploaded to Flickr and Panoramio to investigate the ability of social media to measure and map spatial patterns in visitation to national parks, national forests, and state parks in Utah, USA. Our analysis shows support for the use of geotagged social media to supplement data collected through traditional means (e.g., on-site counts of visitors) as

While the debate around monocentric versus polycentric urban structures persists, a growing number of traditionally monocentric cities are pursuing a transformation agenda towards the polycentric structure. The decisions of locating and prioritising the additional centres is often based on an accessibility score, leaving out other essential factors such as the spatial variations of labour density and

In this study, we propose a network-geographic information system (GIS) modeling framework to construct a risk map for revealing infrastructure vulnerability to seismic hazards. The framework considers the cascading network of interdependencies among the effects and intermediate effects of earthquakes. Network modeling is applied to analyze infrastructure vulnerabilities and identify the infrastructure

This research aims to analyze CCD inpatients' mobility patterns in central China and explore the influences of nonclinical factors on their decisions of medical travel. Using patients' information (n = 105,120) collected from Henan, a central province of China, as well as county-level health care, transportation, and socioeconomic data, we analyzed spatial-temporal variations of CCD inpatients' mobility

The depth and degree of geographic polarization in American politics are key arguments that reside within the larger political polarization debate. Evidence used to argue against the significance of geographic polarization is the prevalence of “purple” counties. It is argued that when the aggregate voting results within counties for candidates from the two major political parties are close enough and

The coastal ecosystems are a key subject of contemporary research concerning coastline position changes, climate change effects, hazard assessment, and ecosystem services. The population density in the coastal areas accelerates the natural morphogenetic processes of these ecosystems. The land-use planning strategies can have a vital role in achieving coastal ecosystem stability and providing resilience

Urbanization is a pressing issue of concern especially in Africa where it is expected to continue and increasingly, threaten the efficiency of natural carbon sinks and sustainability of cities. This paper assessed the diversity and carbon storage of trees in Zaria metropolis, North-western Nigeria through fieldwork and allometric equations. A total of 200 assessment plots were randomly generated using

Understanding environmental variables responsible for the spatial distribution of Lyme disease is essential for determining disease risk and directing control and prevention efforts. This study provides a novel application of geographically weighted regression to explore how the relationship between Lyme disease and land cover varies across the Midwest and Northeast regions of the United States. Results

Overcoming concerns about bicycling safety is critical to increasing the health benefits of bicycling for transportation. While exposure measures are critical for monitoring and understanding bike safety, lack of spatially and temporally detailed bike counts makes it challenging to conduct robust bicycling safety studies. Crowdsourced data from smartphone apps like Strava provide counts for nearly

Research efforts related to better understanding and capture of the fertility trends over the time are considered to be of significant interest in the fields of demography and social sciences. In Greece, the overall relationships between fertility and numerous determinants that influence it have been explored at national level. However, the possible spatial heterogeneity in these relationships has

The important ecological and recreational functions of public green spaces for metropolitan regions have been increasingly recognized, especially in the last few decades in developing countries that experienced rapid urbanization at the cost of ecological land. This study developed a green accessibility index (GAI) that quantifies the efficiency of accessing different levels of public green spaces

Computational natural wildfire simulation is a computing-intensive process. The process is also challenging because of the need to integrate data with wide spatial and temporal variability. Our study sought to simulate rapidly spreading natural wildfire with fidelity and quality through computational realization. We developed a novel probabilistic wildfire risk assessment tool whose operation was driven

Growing demand for agricultural commodities like rubber or oil palm is causing rapid change in Southeast Asia's biodiversity-rich forested landscapes. This change is particularly pronounced in Myanmar, whose economy is developing at great speed after the end of decades-long economic and political isolation and armed conflicts. Interventions are needed to ensure that development is sustainable. Designing

Restricting human movement to decrease contact probability and frequency helps mitigate large-scale epidemics. Movement-based zoning can be implemented to delineate the boundaries for movement restrictions. Previous studies used network community detection methods, which capture cohesive within-region movements, to delineate containment zones. However, most people usually travel and spend most of their

This study investigated the intersection between empirically derived and farmers perceived soil erosion risk in a medium-sized catchment on the Ugandan side of mountain Elgon. We postulated that farmers' perception of soil erosion risk was high and this influenced their employment of Soil and Water Conservation (SWC) measures on their land. An adapted Revised Universal Soil Loss Equation (RUSLE) was

Building disaster-resilient communities require operative resilience frameworks enabling factual decision-making and resource allocation at national and sub-national scales. While Pakistan is frequently hit by several natural hazards (i.e., floods, droughts, earthquakes, and extreme heatwaves) resulting in devastating impacts, no national-level higher-resolution disaster resilience information is available

The emergence of the novel Coronavirus Disease in late 2019 (COVID-19) and subsequent pandemic led to an immense disruption in the daily lives of almost everyone on the planet. Faced with the consequences of inaction, most national governments responded with policies that restricted the activities conducted by their inhabitants. As schools and businesses shuttered, the mobility of these people decreased

Fertility is a key process shaping long-term population dynamics. Distinctive fertility trends have characterized demographic transitions, exhibiting sequential periods of spatial convergence and divergence. This descriptive study investigates the spatiotemporal evolution of Total Fertility Rate (TFR) and Crude Birth Rate (CBR) at different geographical scales in Italy between 2002 and 2018. Descriptive

Expansion of Antarctic vegetation in ice-free areas underlines the need for effective remote sensing techniques to properly monitor the changes. Detection and mapping of vegetation remains limited in the Antarctic environment given the complexity of its surface coverage. Some cryptogamic species exhibit low reflectance in the near-infrared region and are not easily detected by vegetation indices, such

Female breast cancer (FBC) incidence rate (IR) varies greatly across counties in the United States (US). Factors contributing to these geographic disparities have not been fully understood at the population level. In this study, we investigated the relationships between the county-level FBC IR and a diverse set of variables in demographics, socioeconomics, life style, health care accessibility, and

As conservation landscapes are threatened by global change, there is a growing need to understand relationships between human livelihoods and environmental processes. This often involves integrating multiple data sources capturing different scales of measurement. Participatory methods have emerged as a means to accomplish this, but are hampered by a wide range of challenges associated with data collection

Information collected from Focus Group Meetings (FGMs) and key informant interviews (KIIs) from Ramgati Upazilla of Lakshmipur District, Bangladesh, shows that once household members have lost their homes to riverbank erosion, they rarely migrate to distant places and stay in their immediate vicinity. The overwhelming majority of the victims rebuild their homes in nearby places on the lands of their

In this research, a methodology for the analysis of accessibility conditions for people with physical disabilities was developed. The analysis is based on an assessment of the sidewalk network in two tourist areas located in Maspalomas Costa Canaria (Gran Canaria, Spain). ArcMap's Network Analyst was used, and Spanish regulations on accessibility in urbanized public spaces, as well as the points of

In a watershed, disturbing land covers (LCs) are one of the most important factors in the balance and flow rate of water. This study aimed to monitor and model LC changes in the upstream of the Aras River Basin in Turkey over 1984, 2002, 2010 and 2016. The main ground to conduct such an analysis was to mitigate severe economic, social and ecological consequences driven by agricultural activities and

Access to a variety of affordable and healthy food has been a critical component in sustainable food-system planning. Research on food accessibility and food deserts (low-income areas with no or limited access to healthy food) can have important policy implications for alleviating health disparities. In the existing food access literature, supermarkets or large chain grocery stores have typically been

This study investigated the impact of the coastal industrialization policy which began in 2015 in Indonesia. Because this policy has effected physical change on the environment, it requires quantification to determine its driving factors, and to formulate solutions to its problems. In doing so, this research used remote sensing and machine learning techniques. Satellite data from Sentinel-2A were acquired

This research describes the intra-metropolitan distribution patterns of airport accessibility, employment density, and labor productivity using municipality-level datasets from the Tokyo metropolitan region. The geographic data analyses present that inner-city bayfront airport accessibility and cross-industrial employment density are high in municipalities with the designation of urban regeneration

Housing and health studies rarely concentrate on aggregate health indicators. There is a need for more research to disentangle the complexity within housing types and between housing and socioeconomic development as they influence health. To enhance the evidence base for the understanding of the association between housing and health, from a geographic perspective, we applied spatial multilevel analyses

Broadband service providers readily use time-series models to forecast broadband related to minimise disruptions to customers but also from an operational perspective. Within a competitive market, minimizing future broadband faults is important for customer retention. Whilst broadband faults happen at the household level, broadband service providers typically forecast broadband faults at the regional

In our review of the research on PGS (park green space) spatial equity, little consideration has been given to the impacts of small spatial scales and measurement accuracy on spatial equity assessments. Based on the web map API open data platform (including location and navigation data, etc.), this study established a fine-scaled evaluation framework of spatial equity from the aspects of sensitivity

Noise is a pervasive environmental stressor that has adverse impacts on people's mental health. However, past studies on the relationship between individuals' chronic noise exposure and psychological stress were inconclusive, partly due to their ignorance of the role of individual mobility and the temporality of the exposure-effect relationship. This study examines how individual mobility and temporality

During the past decade, the number of earthquakes has increased dramatically in the state of Oklahoma, largely attributed to induced seismicity from wastewater injections (hydraulic fracturing). The increased seismic disaster risk in Oklahoma has captured public attention and necessitated actions by decision makers to mediate the consequences. Geospatial modeling to identify the populations exposed

Soils have been widely transformed and degraded by human activities. The area occupied by soils that remain unmodified is decreasing, while recent rural outmigration and land abandonment provide new opportunities for soil restauration across larger area.Little is known about the spatial distribution of both near-natural and anthropogenically influenced soils on large scales. We here present a new methodology

Post-disaster recovery involves interdependent processes of physical and psychological rehabilitations. Over the past few years, researchers have explored geotagged social media data to assist the planning, monitoring, and assessment of the post-disaster recovery of tourism destinations, given its advantages over traditional approaches. Nonetheless, recent studies have mostly focused on quantitatively

In most cities, urban growth follows a sprawl pattern. In the Melbourne metropolitan area, the Plan Melbourne (2017–2050) was formulated with the aim of reducing sprawl and encouraging sustainable growth. However, the Internet research has shown that in the metropolitan area of Melbourne, no studies aiming to investigate the urban growth using satellite images and analyzing compact urban growth drivers

Improving farmers' market accessibility is increasingly being used as a mechanism to promote healthy food consumption. Previous studies about farmers’ markets largely focused on describing either the demographics of market patrons or the impact of market participation on fruit and vegetable intake. Thus, little empirical research has examined how market accessibility impacts nearby communities. The

Ridesourcing services such as Uber, Lyft, and DiDi are purported to be more efficient than traditional taxis because they can match passengers with drivers more effectively. Previous studies have compared the efficiency of ridesourcing and taxis in several cities. However, gaps still exist regarding the measurement and comparison between the two modes, and the reasons for the higher efficiency of ridesourcing

Social networks and public supports have been becoming increasingly important in disaster management and mitigation. This paper demonstrates empirical and credible evidence of social network supports and their spatial and temporal dynamics of evolutionary patterns in flood disaster preparedness and recovery, as demonstrated by the case of the 2017 mass-flooding event in rural areas of Sri Lanka. For