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
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
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... ...
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
Spatial heterogeneities of residents' sentiments and their associations with urban functional areas during heat waves– a case study in Beijing
- 2024
The intensification of global heat wave events is seriously affecting residents' emotional health. Based on social media big data, our research explored the spatial pattern of residents' sentiments during heat waves (SDHW). Besides, their association with urban functional areas (UFAs) was analyzed using the Apriori algorithm of association rule mining. It was found that SDHW in Beijing were charac......
An iterative local search based hybrid algorithm for the service area problemAbstract This article presents a hybrid algorithm for the service area problem. The design of service areas is one of the essential issues in providing efficient services in both the public and private sectors. For a geographical region with a number of small spatial units, the service area problem is to assign the service-demand units to the service-supply units su... ...
- 2021
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... ...