Generalized Scaling of Urban Heat Island Effect and Its Applications for Energy Consumption and Renewable Energy by T.-W. Lee, Heung S. Choi, Jinoh Lee

“…However, in this work, we show that if the population density is used in converting the population data into urbanized area, then a good agreement with the current theory is found. …”
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Efficacy of Lockdowns in Africa by Daglous Makumbe

“…These factors which hampered the workability of lockdowns included high informal employment rates, informal settlements, rampant homelessness, porous borders, a high population density, institutions with vulnerable populations as well as conflict settings. …”
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Pedestrian Crash Exposure Analysis Using Alternative Geographically Weighted Regression Models by Seyed Ahmad Almasi, Hamid Reza Behnood, Ramin Arvin

“…In general, the results of the GWPR model show that the presence of a bus station, population density, type of residential use, average number of lanes, number of traffic control cameras, and sidewalk width are negatively associated with increasing the number of crashes. …”
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Characteristics and Driving Forces of Spatiotemporal Changes of River-Lake-Reservoir Water System in Guangdong Province by LIAO Tianzhu, HE Min, GUO Haijing, ZHAO Ruijuan, KANG Yu, LI Zhi

“…The results show that: ① From 1980 to 2021, the river area continued to shrink while the reservoir area continued to grow, and the trend of both changes changed abruptly in 1995. ② The water landscape pattern tended to be fragmented, complicated, and discrete. ③ In the past 40 years, the land use change of 50 m around the water area was mainly the transformation of rivers into reservoirs, and a large area of the river-lake-reservoir water system was transformed into urban and rural, industrial, mining, and residential lands from 1995 to 2021. ④ Annual mean temperature, permanent population density, and economic output values were the main driving factors of water area and landscape pattern change. …”
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Climat Policy of the Russian Federation and the Problem of Global Climate Change by J. A. Rusakova

“…These features, as well as the low population density in the regions of greatest climate risk, open up additional opportunities for adaptation to climate change. …”
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Empowering Aid Personnel That Respond to Disasters by Vedat Işıkhan

“…The frequency of disasters and their impact on people has increased due to climatic changes and increasing population density. Today, earthquakes, floods, drought, fires, volcanic and nuclear explosions, terrorist attacks have turned into ordinary events. …”
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CONTEXTUALISING URBAN ENGINEERING EDUCATION FOR FUTURE CITIES by Dillip K DAS, Fidelis EMUZE

“… While rapidity in service activities have strengthened the role of urban areas as engines of economic growth, high population density and increased industrialization, has brought needless social and environmental complaints in cities. …”
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Development of a Public Transport Accessibility Index for Older Commuters: A Time-Based Approach by Kaniz Fatima, Sara Moridpour, Tayebeh Saghapour

“…The results indicate that older adults’ public transport access varies depending on travel time, population density, and travel destination. The proposed index can be used for future planning/expansion and modification of public transport networks in urban and regional areas to meet the travel demands of older travellers.…”
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Enhancing satellite-based emergency mapping: Identifying wildfires through geo-social media analysis by Sebastian Schmidt, Monika Friedemann, David Hanny, Bernd Resch, Torsten Riedlinger, Martin Mühlbauer

“…However, there are large spatial differences, as there is a correlation between population density and the reliability of Twitter data. …”
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Micromobility Station Placement Optimization for a Rural Setting by Taraneh Askarzadeh, Raj Bridgelall

“…This case study demonstrates a scalable workflow that planners can repeat to achieve sustainable micromobility deployments by considering the land use, population density, activity points, and characteristics of the available pathways in their unique setting.…”
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Spatial Heterogeneity of Coupling Coordination Development between Logistics and Economy in Central Plains of China by Guangliang Zhou, Congyu Zhao, Ming Wu, Yu Chen, Fuli Zhou

“…The results show that (1) the integrated development level of logistics industry and economy in the Central Plains City Cluster is low, and the development difference between regions is significant; (2) the overall coupling and coordination level of logistics industry and economy in the Central Plains City Cluster is not high and is at the stage of imminent disorder; in space, it presents a spatial pattern of “high in the center and low around”; (3) the coupling coordination degree around each region and city is a strong positive spatial correlation and agglomeration situation significantly; (4) the ranking of the influence degree of each driving factor from high to low is urbanization rate; science and technology level; education level; and population density.…”
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Exploring the impact of urban spatial morphology on land surface temperature: A case study in Linyi City, China. by Yongyu Feng, Huimin Wang, Jing Wu, Yan Wang, Hui Shi, Jun Zhao

“…The increasing population density and impervious surface area have exacerbated the urban heat island effect, posing significant challenges to urban environments and sustainable development. …”
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Évolution de l’urbanisme et exposition au risque cyclonique à Saint-Martin de 1954 à 2017 by Kelly Pasquon, Gwenaël Jouannic, Julien Gargani, Chloé Tran Duc Minh, Denis Crozier

“…In almost 70 years, the population density of the French part of Saint Martin increased from 75 inhab/km² to 668 inhab/km². …”
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Uncovering and estimating complementarity in urban lives by Xin Liu, Konstantinos Pelechrinis

“…In addition, factors related to the urban environment, such as population density and accessibility are also crucial and have been considered in the literature. …”
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The need for novel influenza vaccines in low- and middle-income countries: A narrative review by Julia R. Spinardi, Karan B. Thakkar, Verna L. Welch, Oladayo Jagun, Moe H. Kyaw

“…Most of the disease burden is in Low- and Middle-Income Countries (LMICs) owing to factors such as high population density, infrastructure challenges, poor quality healthcare, lack of consistent recommendations, less prioritization of all high-risk groups, and prevalent use of trivalent influenza vaccines. …”
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The evolution and driving mechanism of education inequality in China: From 2003 to 2020. by Yuanzhi Guo, Xuhong Li

“…In terms of indirect spillover effects, per capita GDP and per capita fiscal expenditure on education have negative effects, while population density and urbanization rate have positive effects. …”
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A Multistory Building Evacuation Model Based on Multiple-Factor Analysis by Yang Zhou, Tanghong Wu, Gaofan Zhang, Zichuan Fan

“…Finally, the value of maximum evacuation population density could be determined according to the analysis of CA simulation results, which was related to the switch state of the emergency channel. …”
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Evaluating LEADER program support for local projects: insights from the Czech Republic and Hungary (2007–2013) by Adél Veselicz, Ondřej Konečný, János Pénzes, Csaba Patkós

“…We collected data from LEADER LAGs, such as the amount of LEADER funds allocated to settlements, the unemployment rate of each LAGs, per capita income, population density and the number of member settlements. …”
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RETRACTED: Biodiversity Loss with Habitat and Risk of New Diseases by Darshit Ram

“…Required now are bold and well-defined goals and a credible set of actions to restore the abundance of nature to levels that enable both people and nature to thrive. Human population density strongly correlates with the risk of emergence for all major classes of infectious disease. …”
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Measuring Urban Walkability Index for the Town Centre of Petaling Jaya by Ishak Che Abdullah, Zulkifli Ahmad Zaki, Na'asah Nasrudin, Noraini Omar Chong, Marina Mohd Nor

“…The walkability index indicators were adjusted to suit the Malaysian local environment and used transportation network design, land use diversity and population density as the built environment indicators. …”
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