Urban computing for sustainable smart cities: Recent advances, taxonomy, and open research challenges

IAT Hashem, RSA Usmani, MS Almutairi, AO Ibrahim… - Sustainability, 2023 - mdpi.com
The recent proliferation of ubiquitous computing technologies has led to the emergence of
urban computing that aims to provide intelligent services to inhabitants of smart cities. Urban …

Plug-Mate: An IoT-based occupancy-driven plug load management system in smart buildings

ZD Tekler, R Low, C Yuen, L Blessing - Building and Environment, 2022 - Elsevier
Plug load management systems are touted as promising solutions to reduce the rising
energy consumption of plug loads in commercial buildings through different load monitoring …

Occupancy prediction using deep learning approaches across multiple space types: A minimum sensing strategy

ZD Tekler, A Chong - Building and Environment, 2022 - Elsevier
The proliferation of sensing technologies has allowed the collection of occupancy-related
data to support various building applications, including adaptive HVAC and lighting controls …

Point-of-Interest (POI) data validation methods: An urban case study

LW Yeow, R Low, YX Tan, L Cheah - ISPRS International Journal of Geo …, 2021 - mdpi.com
Point-of-interest (POI) data from map sources are increasingly used in a wide range of
applications, including real estate, land use, and transport planning. However, uncertainties …

[HTML][HTML] A hybrid active learning framework for personal thermal comfort models

ZD Tekler, Y Lei, Y Peng, C Miller, A Chong - Building and Environment, 2023 - Elsevier
Personal thermal comfort models are used to predict individual-level thermal comfort
responses to inform design and control decisions of buildings to achieve optimal …

Urban functional zone classification based on POI data and machine learning

G Luo, J Ye, J Wang, Y Wei - Sustainability, 2023 - mdpi.com
The identification of urban spatial functional units is of great significance in urban planning,
construction, management, and services. Conventional field surveys are labour-intensive …

User perceptions on the adoption of smart energy management systems in the workplace: Design and policy implications

ZD Tekler, R Low, L Blessing - Energy Research & Social Science, 2022 - Elsevier
Smart energy management systems equipped with advanced sensing and Internet of Things
technologies allow users to monitor and manage their energy consumption through different …

Conflating point of interest (POI) data: A systematic review of matching methods

K Sun, Y Hu, Y Ma, RZ Zhou, Y Zhu - Computers, Environment and Urban …, 2023 - Elsevier
Point of interest (POI) data provide digital representations of places in the real world, and
have been increasingly used to understand human-place interactions, support urban …

Measurement method and influencing mechanism of urban subdistrict vitality in Shanghai based on multisource data

Y Shi, J Zheng, X Pei - Remote Sensing, 2023 - mdpi.com
Most previous studies on urban vitality focused on the analysis and evaluation of the overall
vitality of urban agglomerations or single cities, while there are few related studies at the …

Identifying urban functional zones by analysing the spatial distribution of amenities

WCB Chin, Y Fu, KH Lim… - … and Planning B …, 2024 - journals.sagepub.com
Comprehending urban form and function is crucial for effective urban planning and
redevelopment. However, delineating urban functional zones and understanding the diverse …