Computational Urban Science
SCOPUS (2021-2023)ESCI-ISI
2730-6852
Cơ quản chủ quản: N/A
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Các bài báo tiêu biểu
Points of Interest (POI): a commentary on the state of the art, challenges, and prospects for the futureAbstract In this commentary, we describe the current state of the art of points of interest (POIs) as digital, spatial datasets, both in terms of their quality and affordings, and how they are used across research domains. We argue that good spatial coverage and high-quality POI features — especially POI category and temporality information — are key for creating re... ...
Tập 2 Số 1
Data-driven smart sustainable cities of the future: urban computing and intelligence for strategic, short-term, and joined-up planningAbstract Sustainable cities are quintessential complex systems—dynamically changing environments and developed through a multitude of individual and collective decisions from the bottom up to the top down. As such, they are full of contestations, conflicts, and contingencies that are not easily captured, steered, and predicted respectively. In short, they are charac... ...
Tập 1 Số 1
Towards an AI-driven framework for multi-scale urban flood resilience planning and designAbstract Climate vulnerability is higher in coastal regions. Communities can largely reduce their hazard vulnerabilities and increase their social resilience through design and planning, which could put cities on a trajectory for long-term stability. However, the silos within the design and planning communities and the gap between research and practice have made it ... ...
- 2021
Geographical and temporal weighted regression: examining spatial variations of COVID-19 mortality pattern using mobility and multi-source data
- 2024
The COVID-19 pandemic has had profound adverse effects on public health and society, with increased mobility contributing to the spread of the virus and vulnerable populations, such as those with pre-existing health conditions, at a higher risk of COVID-19 mortality. However, the specific spatial and temporal impacts of health conditions and mobility on COVID-19 mortality have yet to be fully unde......
Culture vs. distance: comparing the effects of geographic segmentation variables on tourists’ destination images based on social media dataAbstract Culture and distance are two major factors for geographically segmenting tourists in tourism marketing and advertising. Previous empirical studies on the destination image, however, have examined extensively the effect of the culture while inadequately the effect of the distance, let alone comparing the effects of the two variables. Using social media data,... ...
- 2021
How do taxi usage patterns vary and why? A dynamic spatiotemporal analysis in BeijingAbstract Existing studies lack attention to taxi usage dynamics, considering its trip proportion over other travel modes and its influencing factors at fine spatiotemporal resolutions. To fill these gaps, we propose a method for examining taxi usage in a grid of 1 km × 1 km cells per hour during a one-day cycle in Beijing. This method measures the differences betwee... ...
Tập 3 Số 1
Spatial social network research: a bibliometric analysisAbstract A restless and dynamic intellectual landscape has taken hold in the field of spatial social network studies, given the increasingly attention towards fine-scale human dynamics in this urbanizing and mobile world. The measuring parameters of such dramatic growth of the literature include scientific outputs, domain categories, major journals, countries, insti... ...
- 2022
DigitalExposome: quantifying impact of urban environment on wellbeing using sensor fusion and deep learning Abstract The increasing level of air pollutants (e.g. particulates, noise and gases) within the atmosphere are impacting mental wellbeing. In this paper, we define the term ‘DigitalExposome’ as a conceptual framework that takes us closer towards understanding the relationship between environment, personal characteristics, behaviour and wellbeing using multimodal mob... ...
Passengers receptivity of a new public transport mode: case of a BRT project in LebanonAbstract This study examines how far the level of knowledge on a new public transport mode in Lebanon might affect mode choice. Indeed, passenger mode choice is a major issue associated with the effectiveness of new transport projects, as their level of effectiveness and feasibility will depend on the number of new adopters. This investigation is performed by develo... ...
Tập 2 Số 1
A machine learning approach for predicting hurricane evacuee destination location using smartphone location data Abstract Evacuation destination choice modeling is an integral aspect of evacuation planning. Outputs from such models are required to estimate the clearance times on which evacuation orders are based. The number of evacuees arriving at each destination also informs allocation of resources and shelter planning. Despite its importance, evacuee destination modeling ha... ...