Computational Urban Science
SCOPUS (2021-2025)ESCI-ISI
2730-6852
Cơ quản chủ quản: N/A
Phân tích ảnh hưởng
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
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 reliable data. We list
challenges i...
Data-driven smart sustainable cities of the future: urban computing and intelligence for strategic, short-term, and joined-up planning
Tập 1 Số 1
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 characterized by wicked
problems. There...
Towards an AI-driven framework for multi-scale urban flood resilience planning and design
- 2021
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 difficult to
achieve the goal for...
Culture vs. distance: comparing the effects of geographic segmentation variables on tourists’ destination images based on social media data
- 2021
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, this study compares the effect o...
How do taxi usage patterns vary and why? A dynamic spatiotemporal analysis in Beijing
Tập 3 Số 1
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 between taxi
trips from taxi trajectory...
Spatial social network research: a bibliometric analysis
- 2022
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, institutions,
and frequently used keyw...
DigitalExposome: quantifying impact of urban environment on wellbeing using sensor fusion and deep learning
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 mobile sensing
technology. Specifica...
Passengers receptivity of a new public transport mode: case of a BRT project in Lebanon
Tập 2 Số 1
AbstractThis 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 developing mode
choice models based on ...
An iterative local search based hybrid algorithm for the service area problem
- 2021
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 such that each
facility has a servi...
A machine learning approach for predicting hurricane evacuee destination location using smartphone location data
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 has not received
as much attention ...