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pro vyhledávání: '"Wang, Kailai"'
Line intensity mapping (LIM) has emerged as a promising tool for probing the 3D large-scale structure through the aggregate emission of spectral lines. The presence of interloper lines poses a crucial challenge in extracting the signal from the targe
Externí odkaz:
http://arxiv.org/abs/2403.19740
Enhanced efforts in the transportation sector should be implemented to mitigate the adverse effects of CO2 emissions resulting from zoning-based planning paradigms. The innovative concept of the 15-minute city, with a focus on proximity-based plannin
Externí odkaz:
http://arxiv.org/abs/2310.14383
Climate changes lead to more frequent and intense weather events, posing escalating risks to road traffic. Crowdsourced data offer new opportunities to monitor and investigate changes in road traffic flow during extreme weather. This study utilizes d
Externí odkaz:
http://arxiv.org/abs/2310.14380
Autor:
Wang, Kailai
The debate on whether young Americans are becoming less reliant on automobiles is still ongoing. This research compares driver's license acquisition patterns between Millennials and their succeeding Generation Z during late adolescence. It also exami
Externí odkaz:
http://arxiv.org/abs/2310.04906
Autor:
Roy, Anirban, Valentín-Martínez, Dariannette, Wang, Kailai, Battaglia, Nicholas, van Engelen, Alexander
Mapping of multiple lines such as the fine-structure emission from [CII] (157.7 $\mu \text{m}$), [OIII] (52 \& 88.4 $\mu \text{m}$), and rotational emission lines from CO are of particular interest for upcoming line intensity mapping (LIM) experiment
Externí odkaz:
http://arxiv.org/abs/2304.06748
Autor:
Wang, Kailai, Wang, Xize
Publikováno v:
Cities, 114, 103204 (2021)
Whether the Millennials are less auto-centric than the previous generations has been widely discussed in the literature. Most existing studies use regression models and assume that all factors are linear-additive in contributing to the young adults'
Externí odkaz:
http://arxiv.org/abs/2206.11056
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems, 2022
Traffic flow prediction is an integral part of an intelligent transportation system and thus fundamental for various traffic-related applications. Buses are an indispensable way of moving for urban residents with fixed routes and schedules, which lea
Externí odkaz:
http://arxiv.org/abs/2202.10339
An urban-rural divide? Preferences for autonomous vehicles in small and med-sized metropolitan areas
Publikováno v:
In Applied Geography August 2024 169
Publikováno v:
In Heliyon 15 July 2024 10(13)
Publikováno v:
In Land Use Policy July 2024 142