Published: Jan. 1, 2023
Language: Английский
Cities, Journal Year: 2024, Volume and Issue: 151, P. 105130 - 105130
Published: June 1, 2024
Language: Английский
Citations
12
Transactions in GIS, Journal Year: 2024, Volume and Issue: 28(4), P. 701 - 725
Published: March 12, 2024
Abstract The concept of a location's irreplaceability pertains to its unique characteristics that make it challenging for other locations replace in terms providing services and meeting needs. While scholars have shown great enthusiasm studying location irreplaceability, accurately measuring understanding the effects urban form not been thoroughly explored through empirical research. This study selects Shenzhen, China, as area. First, I ‐index, which focuses on geographic flow, is utilized measure using mobile phone data. Subsequently, factors related are analyzed from perspectives demography, building capacity, public services, conditions. Finally, geographically temporally weighted regression model (GTWR) constructed explore spatiotemporal relationships between form. demonstrates considering flow volume distance, can effectively irreplaceability. results GTWR indicate influencing exhibit heterogeneity. advances our both conceptually methodologically. findings practical implications design planning, including space optimization, facility equity, alleviation traffic congestion.
Language: Английский
Citations
4
Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 114, P. 107919 - 107919
Published: March 19, 2025
Language: Английский
Citations
0
Cities, Journal Year: 2023, Volume and Issue: 141, P. 104510 - 104510
Published: Aug. 10, 2023
Language: Английский
Citations
10
ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(1), P. 31 - 31
Published: Jan. 18, 2024
The COVID-19 pandemic has had a profound impact on people’s lives, making accurate prediction of epidemic trends central focus in research. This study innovatively utilizes spatiotemporal heterogeneity analysis (GTNNWR) model to predict deaths, simulate prevention scenarios, and quantitatively assess their preventive effects. results show that the GTNNWR exhibits superior predictive capacity conventional infectious disease dynamics (SEIR model), which is approximately 9% higher, reflects spatial temporal well. In scenario simulations, this established five scenarios for measures, indicate masks are most influential single measure, reducing deaths by 5.38%, followed vaccination at 3.59%, social distancing mandates 2.69%. However, implementing stringent measures does not guarantee effectiveness across all states months, such as California January 2025, Florida August 2024, March–April 2024 continental U.S. On other hand, combined implementation proves 5 to-10-fold more effective than any 27.2%. under never exceed standard month. research found mask wearing, vaccination, during winter can reduce 45%, 1.5–3-fold higher seasons. provides valuable insights control America.
Language: Английский
Citations
2
International Journal of Geographical Information Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 20
Published: Oct. 28, 2024
Understanding changes in mobility patterns during extreme weather is crucial for urban resilience. Existing studies often overlook the transitions between different transportation modes. This study develops a framework that measures spatiotemporal anomalies of mobilities and builds transition paths across multiple modes to reveal how people adapt weather. Analyzing four rainfall events New York City, we find Citibike riders are most sensitive rainfall. In absence subway disruptions, they tend switch subway. When system paralyzed, indicating flooding by heavy rainfall, shift For-Hire Vehicles, followed taxis. Both demonstrate value flexible service The paralysis-prone uneven distribution indicate current transit infrastructure lacks coordination unprepared climate change. Recommendations enhancing resilience include upgrading maintaining system; inter-transportation-modal coordination; introducing amphibious modes; improving pre-disaster awareness inland populations; encouraging safety shared ride; connecting affordable underprivileged groups.
Language: Английский
Citations
2
Published: Aug. 8, 2023
Influenced by historical background, regional economic development, and the frequent occurrence of armed conflict, human–earth relationship in Central Southern Peninsula, which is located a "fragmented zone", characteristic region. The Indochina Peninsula has now become an area interest for study spatial changes production–living–ecological spaces (PLES). Taking as area, this paper explores evolution spatio-temporal patterns PLES its driving mechanism from 2010 to 2020, based on grid scale. Methods such land-use transition matrix, dynamics index, Geographically Temporally Weighted Regression (GTWR) were used our model. Our results show that, ecological space dominated pattern but gradually decreased, accompanied sharp increase areas productive living spaces. interconversion 2010–2020 was 212818.70 km2, it characterized conversion into space, well woodland grassland In addition, intertransfer production distributed network-like manner throughout while transfer point-like manner. migration path center gravity In-dochina demonstrates significant directional difference. PLES’s affected degree multiple factors, with temporal heterogeneity. positive negative feedback effects factors different directions.
Language: Английский
Citations
4
Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)
Published: Aug. 15, 2023
Abstract In the course of our observations transmission COVID-19 around world, we perceived substantial concern about imported cases versus local transmission. This study, therefore, tries to isolate due (also called community spread) from those externally introduced infection, which can be key understanding spread pattern pandemic. particular, offer a probabilistic perspective estimate scale outbreak at epicenter epidemic with an environmental focus. First, this study proposes novel explanation probability in population target city, chain is based on assumption independent distribution. Then it conducts spatial statistical analysis COVID-19, using two model specifications identify dependence, more commonly known as spillover effect. The results are found have strong dependence. Finally, confirms significance residential waste indicates that fight against requires us pay close attention factors. method shown critical and has high practical value, because easily applied elsewhere other future pandemics.
Language: Английский
Citations
2
Cities, Journal Year: 2024, Volume and Issue: 154, P. 105326 - 105326
Published: Aug. 17, 2024
Language: Английский
Citations
0
Sustainability, Journal Year: 2024, Volume and Issue: 17(1), P. 110 - 110
Published: Dec. 27, 2024
The progression of the COVID-19 pandemic has demonstrated significant oscillatory characteristics, underscoring importance investigating impact driving factors on its evolution. This study included an in-depth analysis influence various pandemic’s fluctuations, identifying key elements, to enhance comprehension transmission mechanisms and improve scientific precision in formulating mitigation strategies. experimental outcomes indicate that Geographically Temporally Neural Network Weighted Regression (GTNNWR) model achieved commendable accuracy with minimal error forecasting number infected individuals. Leveraging results from GTNNWR model, research meticulously examines temporal spatial correlations between pandemic, delineated spatiotemporal distribution patterns each factor’s influence, quantified their significance. reveals substantial vaccines, masks, social distancing measures across different regions periods, effects affected individuals being 2 10 times more pronounced than other factors. These findings contribute a deeper understanding dynamics offering critical decision-making support for control prevention efforts.
Language: Английский
Citations
0