How will ai transform urban observing, sensing, imaging, and mapping?

Q Weng, Z Li, Y Cao, X Lu, P Gamba, X Zhu… - npj Urban …, 2024 - nature.com
Advances in artificial intelligence (AI) and Earth observation (EO) have transformed urban
studies. This paper provides a commentary on how the AI-EO integration offers …

Innovations in shared mobility—review of scientific works

K Turoń, J Tóth - Smart Cities, 2023 - mdpi.com
Shared mobility is developing at a very fast pace around the world, becoming an alternative
to classic forms of travel and, according to the public, providing innovative services. In recent …

[HTML][HTML] Data-driven interpretation on interactive and nonlinear effects of the correlated built environment on shared mobility

K Gao, Y Yang, J Gil, X Qu - Journal of Transport Geography, 2023 - Elsevier
Understanding the usage demand of shared mobility systems in different areas of a city and
its determinants is crucial for planning, operation and management of the systems. This …

Shared micromobility as a first-and last-mile transit solution? Spatiotemporal insights from a novel dataset

Z Yin, G Rybarczyk, A Zheng, L Su, B Sun… - Journal of Transport …, 2024 - Elsevier
The first-and last-mile (FM/LM) problem is a major deterrent to public transit use. With the
rise of shared micromobility options such as shared e-scooters in recent years, there is a …

[HTML][HTML] Spatiotemporal analysis of bike mobility chain: A new perspective on mobility pattern discovery in urban bike-sharing system

R Xin, J Yang, B Ai, L Ding, T Li, R Zhu - Journal of Transport Geography, 2023 - Elsevier
Bike-sharing data have been a valuable source for urban transport research. While most
studies focus on Origin-Destination (OD) data of users' bike trips in bike-sharing researches …

[HTML][HTML] Shared bikes vs. private e-scooters. Understanding patterns of use and demand in a policy-constrained micromobility environment

O Roig-Costa, C Miralles-Guasch, O Marquet - Transport policy, 2024 - Elsevier
Urban mobility has undergone a transformation with the advent of micromobility vehicles,
leading to a multitude of studies investigating the factors that drive early adoption and the …

[HTML][HTML] The research on identification and spatial pattern of urban mixed land-use: A case study of Chengdu

P Deng, Q Huang, F Liu, Z Wang, M Liu - Ecological Indicators, 2023 - Elsevier
In the context of urban quality enhancement, resilience focus, and the promotion of human-
centered urbanization, a well-structured mixed land-use layout plays a pivotal role in …

Inferring spatial–temporal attributes of vehicle itinerary with Automatic Vehicle Identification data: Methodology and application

Q Cao, Y Liu, G Ren, S Wang, D Li, Y Deng… - … Research Part A: Policy …, 2024 - Elsevier
Daily itinerary, consisting of an individual's trips and activities on a day, is usually
fundamental input for many travel demand models. However, current research lacks …

A multi-scale user-friendliness evaluation approach on cycling network utilizing multi-source data

X Deng, Z Zhao, L Tang, H Yang, Y Yu, G Liao - Applied Geography, 2024 - Elsevier
Cycling is a promising solution to transportation decarbonization and urban sustainability.
To enhance the cycling environment, it's essential to assess the user-friendliness of cycling …

A rule-enhanced clustering approach to planning virtual stations for dockless shared micro-mobility systems

J Chen, J Chen, M Hua, X Yu, X Liu - Research in Transportation Business …, 2025 - Elsevier
Abstract Shared micro-mobility (SMM), as a typical service of green mobility, has been
widespread in recent years, especially the dockless SMM system. However, the booming …