County-to-county migration modeling in the United States: the effects of data source and model selection [0.03%]
美国县与县之间的人口迁移建模：关于数据来源和模型选择的影响
Philip E Morefield,Timothy F Leslie
Philip E Morefield
Internal migration plays a critical role in shaping demographic and economic landscapes, yet the ability to model migration flows accurately remains a methodological challenge. This study evaluates the performance of different migration mod...
Leveraging principal component analysis to uncover urban pedestrian dynamics [0.03%]
基于主成分分析法的城市步行者行为规律研究
Jack Liddle,Wenhua Jiang,Nick Malleson
Jack Liddle
As the world rapidly urbanises and cities become larger and more complex, understanding pedestrian dynamics is paramount. New data sources, particularly those that measure pedestrian counts (i.e. 'footfall'), offer potential as a means of b...
Spatial machine learning for predicting physical inactivity prevalence from socioecological determinants in Chicago, Illinois, USA [0.03%]
基于社会生态学因素预测美国伊利诺伊州芝加哥市居民身体不活动率的空间机器学习方法研究
Aynaz Lotfata,Stefanos Georganos
Aynaz Lotfata
The increase in physical inactivity prevalence in the USA has been associated with neighborhood characteristics. While several studies have found an association between neighborhood and health, the relative importance of each component rela...
Shih-Lung Shaw
Shih-Lung Shaw
Time geography was conceptualized in the 1960s when the technology was very different from what we have today. Conventional time-geographic concepts therefore were developed with a focus on human activities and interactions in physical spac...
Spatial shopping behavior during the Corona pandemic: insights from a micro-econometric store choice model for consumer electronics and furniture retailing in Germany [0.03%]
新冠疫情下的空间购物行为：来自德国消费电子及家具零售的微观计量门店选择模型洞察
Thomas Wieland
Thomas Wieland
During the COVID-19 pandemic, e-commerce's market share has increased dramatically, a phenomenon attributable to not only lockdowns but to voluntary changes in shopping behavior as well. The current study examines the main determinants driv...
2022 JGS best paper award and the editors' choice paper volume 25(1) [0.03%]
2022年JGS最佳论文奖和编辑特别推荐论文第25卷第1期
Manfred M Fischer,Antonio Paez,Petra Staufer-Steinnocher
Manfred M Fischer
A framework for modern time geography: emphasizing diverse constraints on accessibility [0.03%]
现代时间地理学的研究框架-注重可达性研究中的多样约束条件
Somayeh Dodge,Trisalyn A Nelson
Somayeh Dodge
Time geography is widely used by geographers as a model for understanding accessibility. Recent changes in how access is created, an increasing awareness of the need to better understand individual variability in access, and growing availab...
Platial mobility: expanding place and mobility in GIS via platio-temporal representations and the mobilities paradigm [0.03%]
基于迁徙时空表达和迁徙范式的地理信息系统中场所和迁移性的扩展研究
Farrukh Chishtie,Rizwan Bulbul,Panka Babukova et al.
Farrukh Chishtie et al.
While platial representations are being developed for sedentary entities, a parallel and useful endeavor would be to consider time in so-called "platio-temporal" representations that would also expand notions of mobility in GIScience, that ...
Paper2GIS: improving accessibility without limiting analytical potential in Participatory Mapping [0.03%]
从参与式映射到地图推理：改善可访问性而不限制分析能力
Timna Denwood,Jonathan J Huck,Sarah Lindley
Timna Denwood
Participatory Mapping encompasses a broad spectrum of methods, each with advantages and limitations that can influence the degree to which the target audience is able to participate and the veracity of the data collected. Whilst being an ef...
Realizable accessibility: evaluating the reliability of public transit accessibility using high-resolution real-time data [0.03%]
基于高分辨率实时数据的公共交通可达性可靠性评估
Luyu Liu,Adam Porr,Harvey J Miller
Luyu Liu
The widespread availability of high spatial and temporal resolution public transit data is improving the measurement and analysis of public transit-based accessibility to crucial community resources such as jobs and health care. A common ap...