Review of road accident analysis using GIS technique

M Shahzad - International journal of injury control and safety …, 2020 - Taylor & Francis
The number of road crashes is significantly growing worldwide. In the transportation sector,
accident outcomes are usually the loss of lives and injuries. To avoid further damages, a tool …

Examining the effect of land-use function complementarity on intra-urban spatial interactions using metro smart card records

M Ren, Y Lin, M Jin, Z Duan, Y Gong, Y Liu - Transportation, 2020 - Springer
Spatial interaction is an important phenomenon that reflects the human–land relationship
and has long been a core topic in multiple fields, such as urban planning, transportation …

[PDF][PDF] Modeling trip-generation and distribution using census, partially correct household data, and GIS

A Anand, V George - Civil Engineering Journal, 2022 - core.ac.uk
The efficiencies of urban transport systems in several cities are drastically affected due to
difficulties imposed by rapid urbanization and the proliferation of private modes of transport …

A spatial interaction model for the representation of user access to household waste recycling centres

ZA Zaharudin, A Brint, A Genovese, C Piccolo - Resources, Conservation …, 2021 - Elsevier
Managing waste is a crucial challenge for modern societies. The UK government has
established ambitious targets in terms of landfill diversion for household waste. Household …

Formation and distribution flows of external transport in the city

M Krystopchuk, S Pashkevych, I Khitrov… - … Conference on Reliability …, 2019 - Springer
Investigation of the transport and passenger flows formation is based on research of
processes of settlement and spatial self-organization of population, determining the density …

Evolutionary bi-level model for optimizing ticket fares and operations profit of Taiwan high-speed rail

JS Chou, CS Ongkowijoyo, NT Ngo, SY Chen - Research in Transportation …, 2020 - Elsevier
Abstract The Taiwan High Speed Rail (THSR) has transformed transportation in western
Taiwan. Increasing costs of construction and operation have rendered THSR tickets much …

A deep reinforcement learning approach for real-time demand-responsive railway rescheduling to mitigate station overcrowding using mobile data

E Liu, Z Lin, JYT Wang, H Chen - arXiv preprint arXiv:2308.11849, 2023 - arxiv.org
Real-time railway rescheduling is a timely and flexible technique to automatically alter the
operation schedule in response to time-varying conditions. Current research lacks data …

Measuring Covid-19 effect on rail passenger flow with geographical region based trip generation models

Ü Ekici - Proceedings of the Institution of Civil Engineers …, 2024 - icevirtuallibrary.com
As the Covid-19 pandemic affects all human beings' life in their daily routines, the
transportation sector is one of the most effected services all around the World. To be able to …

Exploring the Patterns of Resident Resettlement in Rural and Suburban Areas and Their Influence on the Passenger Trip Generation

M Krystopchuk, T Krystopchuk, I Khitrov… - Periodica Polytechnica …, 2022 - pp.bme.hu
The region is a complex multi-element and heterogeneous dynamic system. Regional public
transport systems are characterized by heterogeneity and incompleteness of information …

[HTML][HTML] Exploring and visualizing spatial effects and patterns in ride-sourcing trip demand and characteristics

B Kelleny, S Ishak - … of Sustainable Development of Transport and …, 2021 - cyberleninka.ru
The complex demand pattern of ride-sourcing remains to be a challenge to transportation
modeling practitioners due to the infancy and the inherently dynamic nature of the ride …