Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
The corresponding author’s email address is incorrect. Amila Jayasinghe’s email address is: amilabj@uom.lk. Reference 1. Deshan M, Jayasinghe A, Abenayake C. Quantum-inspired pedestrian mobility modeling: Applying probabilistic spatial simulation to urban walkability and thermal comfort in Sri Lanka. PLoS One. 2026;21(5):e0348630.
3.2.2.3 AI Chatbots AI-based chatbots exemplify the latest advancement in conversational agents, utilising ML and DL frameworks to comprehend user input and produce human-like responses through text-based training datasets and NLP (Maroengsit et al. 2019). These chatbots are broadly classified into two categories: retrieval-based chatbots and generative chatbots.
1. Introduction Investigating pedestrian behavior and improving walking space in streets are becoming increasingly crucial considering the proven benefits to health, sustainability, and the development of safer pedestrian-friendly areas [1,2]. Consequently, an increasing amount of research has been carried out examining the relationship between the urban environment and individuals’ behavior on streets [3].
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Naduni Wijayawardana 1,*, Chethika Abenayake 1,*, Amila Jayasinghe 1,* and Nuwan Dias 2 1 Department of Town and Country Planning, University of Moratuwa, Moratuwa 10400, Sri Lanka 2 Global Disaster Resilience Centre, University of Huddersfield, Huddersfield HD1 3DH, UK * Authors to whom correspondence should be addressed. Urban Sci.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
