Semantic and instance segmentation in coastal urban spatial perception: A multi-task learning framework with an attention mechanism

H Zhang, H Liu, C Kim - Sustainability, 2024 - mdpi.com
With the continuous acceleration of urbanization, urban planning and design require more in-
depth research and development. Street view images can express rich urban features and …

Exploring the association between multi-mode transport and the built environment: A comparative study of metro, bus, taxi, and shared bike use

Z Li, J Tang, W Zhang, Y Ji, L Cui, C Hu… - Sustainable Cities and …, 2024 - Elsevier
Urban transportation plays a pivotal role in sustainable city planning, with multiple
transportation modes coexisting to achieve sustainable goals. Despite the extensive use of …

[HTML][HTML] Understanding travel mode choice behavior: Influencing factors analysis and prediction with machine learning method

H Zhang, L Zhang, Y Liu, L Zhang - Sustainability, 2023 - mdpi.com
Building a multimode transportation system could effectively reduce traffic congestion and
improve travel quality. In many cities, use of public transport and green travel modes is …

Towards discovering human urban activity—tactics of human spatial behavior

A Wronkowski - Journal of Human Behavior in the Social …, 2024 - Taylor & Francis
The study of human spatial behavior primarily focuses on recognizing their spatial
diversification and indicating their distribution, which is well described in the literature. In …

Viral invasion, incubation, and outbreak under the normalized operation of urban systems: a spatial cognition-driven transmission model of infectious diseases

N Shen, H Zhang, Z Li, G Tang - International Journal of Digital …, 2024 - Taylor & Francis
Large-scale epidemics, such as COVID-19, pose significant threats to human health and
social stability due to their rapid and covert transmission, emerging as one of the main …

Revealing correlation patterns of individual location activity motifs between workdays and day-offs using massive mobile phone data

Q **ong, Y Liu, P **e, Y Wang, Y Liu - Computers, Environment and Urban …, 2021 - Elsevier
Recently, people are increasingly interested in understanding broader and longer-term
individual activity-travel behaviors across days or even weeks. However, the relationship of …

The spatiotemporal prediction method of urban population density distribution through behaviour environment interaction agent model

J Yang, Y Shi, Y Zheng, Z Zhang - Scientific Reports, 2023 - nature.com
Based on the interrelationship between the built environment and spatial–temporal
distribution of population density, this paper proposes a method to predict the spatial …

[HTML][HTML] Exploring the nonlinear effects of built environment on bus-transfer ridership: take shanghai as an example

D Liu, W Rong, J Zhang, YE Ge - Applied Sciences, 2022 - mdpi.com
In this paper, the nonlinear effects of the built environment on bus–metro-transfer ridership
are explored, based on Shanghai metro data, with an extreme gradient-boosting decision …

Uncovering the spatiotemporal motif patterns in urban mobility networks by non-negative tensor decomposition

S Shi, L Wang, X Wang - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
Investigating the macroscopic mobility laws of the population and the microscopic travel
characteristics of individuals in a city offers an essential way of understanding the city as a …