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 future
Tập 2 Số 1
Achilleas Psyllidis, Song Gao, Yingjie Hu, Eun Kyeong Kim, Grant McKenzie, Ross S. Purves, May Yuan, Clio Andris
AbstractIn 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...... hiện toàn bộ
Data-driven smart sustainable cities of the future: urban computing and intelligence for strategic, short-term, and joined-up planning
Tập 1 Số 1
Simon Elias Bibri
AbstractSustainable 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...... hiện toàn bộ
Towards an AI-driven framework for multi-scale urban flood resilience planning and design
- 2021
Xinyue Ye, Shaohua Wang, Zhipeng Lu, Yang Song, Siyu Yu
AbstractClimate 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 ...... hiện toàn bộ
Culture vs. distance: comparing the effects of geographic segmentation variables on tourists’ destination images based on social media data
- 2021
Mengtong Wu, Chao Jiang, Yi Zhang, Jingjing Cao, Ying Cheng, Yu Liu
AbstractCulture 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,...... hiện toàn bộ
How do taxi usage patterns vary and why? A dynamic spatiotemporal analysis in Beijing
Tập 3 Số 1
Jiaoe Wang, Fei Du, Jie Huang, Yu Liu
AbstractExisting 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...... hiện toàn bộ
DigitalExposome: quantifying impact of urban environment on wellbeing using sensor fusion and deep learning
Thomas J. Johnson, Eiman Kanjo, Kieran Woodward
AbstractThe 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...... hiện toàn bộ
Spatial social network research: a bibliometric analysis
- 2022
Ling Wu, Qiong Peng, Michael Lemke, Tao Hu, Xi Gong
AbstractA 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...... hiện toàn bộ
An iterative local search based hybrid algorithm for the service area problem
- 2021
Yali Kong
AbstractThis 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...... hiện toàn bộ
A machine learning approach for predicting hurricane evacuee destination location using smartphone location data
Prosper K. Anyidoho, Xinglong Ju, Rachel A. Davidson, Linda K. Nozick
AbstractEvacuation 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...... hiện toàn bộ
Spatial heterogeneities of residents' sentiments and their associations with urban functional areas during heat waves– a case study in Beijing
- 2024
Yanrong Zhu, Juan Wang, Yuting Yuan, Bin Meng, Ming Luo, Changsheng Shi, Huimin Ji
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...... hiện toàn bộ