.png){kind=icon}
返回
Spatial data analytics of mobility with consumer data
.png){kind=icon}
OA
AI
DOI：10.1016/j.jtrangeo.2018.04.012.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Consumer data arising from the interaction between customers and service providers are becoming ubiquitous. These data are appealing for research because they are frequently collected and quickly released; they cover a wide variety of attitudes, lifestyles and behavioural characteristics; and they are often dynamically replenished and longitudinal. It is demonstrated that consumer data can make important contributions to understanding problems in transport geography and in solving applied problems ranging from migration, infrastructure investment and retail service provision to commuting and individual mobility. However more effective exploitation of these data depends on the construction of bridges to allow greater freedom in the transfer of data from the commercial to the academic sector; it requires development of frameworks for privacy and ethics in the secondary use of personal data; and it is contingent on the emergence of effective strategies for the amelioration of selection bias which impairs the quality of many consumer data sources.
Keyword:
Consumer data
Attitudes
Lifestyle
Consumer behaviour
Personal mobility
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.3
论文数:
3.8K
被引数:
1.7W
机构
引用论文
What Drives Intensification of Land Use at Agricultural Frontiers in the Brazilian Amazon? Evidence from a Decision Game.png)
ForestsOAAI
ForestsIF0
OAAI分享收藏
查看更多内容