Big Data for transportation and mobility: recent advances, trends and challenges
Big Data is an emerging paradigm and has currently become a strong attractor of global
interest, specially within the transportation industry. The combination of disruptive …
interest, specially within the transportation industry. The combination of disruptive …
A systematic review of audit tools for evaluating the quality of green spaces in mental health research
Research showing the relationship between exposure to green space and health has
yielded conflicting results, possibly due to the oversight of green space quality in quantitative …
yielded conflicting results, possibly due to the oversight of green space quality in quantitative …
Urban form and composition of street canyons: A human-centric big data and deep learning approach
A Middel, J Lukasczyk, S Zakrzewski, M Arnold… - Landscape and Urban …, 2019 - Elsevier
Various research applications require detailed metrics to describe the form and composition
of cities at fine scales, but the parameter computation remains a challenge due to limited …
of cities at fine scales, but the parameter computation remains a challenge due to limited …
[图书][B] Introduction to seeing cities through big data: Research, methods and applications in urban informatics
P Thakuriah, NY Tilahun, M Zellner - 2017 - Springer
The chapters in this book were first presented in a 2-day workshop on Big Data and Urban
Informatics held at the University of Illinois at Chicago in 2014. The workshop, sponsored by …
Informatics held at the University of Illinois at Chicago in 2014. The workshop, sponsored by …
Mitigating bias in big data for transportation
Emerging big data resources and practices provide opportunities to improve transportation
safety planning and outcomes. However, researchers and practitioners recognise that big …
safety planning and outcomes. However, researchers and practitioners recognise that big …
Tempo-spatial analysis of pedestrian movement in the built environment based on crowdsourced big data
Over the years, the urban planning literature has focused substantial attention on walkability
research, aiming to enhance physical activity and sustainable communities through urban …
research, aiming to enhance physical activity and sustainable communities through urban …
Extensive exposure mapping in urban areas through deep analysis of street-level pictures for floor count determination
GC Iannelli, F Dell'Acqua - Urban Science, 2017 - mdpi.com
In order for a risk assessment to deliver sensible results, exposure in the concerned area
must be known or at least estimated in a reliable manner. Exposure estimation, though, may …
must be known or at least estimated in a reliable manner. Exposure estimation, though, may …
[HTML][HTML] Evaluating the relationship between walking and street characteristics based on big data and machine learning analysis
The relationship between walking and the built environment is gaining increased attention
for promoting sustainable transport and healthy communities. However, while pedestrians …
for promoting sustainable transport and healthy communities. However, while pedestrians …
From intuition to reasoning: Analyzing correlative attributes of walkability in urban environments with machine learning
A fundamental challenge in the planning and operation of modern cities is their walkability.
Walkability is typically assessed using geo-information system (GIS) or real-time …
Walkability is typically assessed using geo-information system (GIS) or real-time …
[PDF][PDF] 基于生命周期的公共安全数据管理模型研究
陆莉， 沙勇忠， 徐雪峰 - 图书与情报, 2019 - tsyqb.gslib.com.cn
数据生命周期模型是链接数据管理策略理念与实践的关键模型, 文章通过梳理典型数据生命周期
模型的构建思路与阶段特征, 结合公共安全数据的来源与类型, 构建了全面的公共安全数据生命 …
模型的构建思路与阶段特征, 结合公共安全数据的来源与类型, 构建了全面的公共安全数据生命 …