Tempo-spatial analysis of pedestrian movement in the built environment based on crowdsourced big data
Over the years, the urban planning literature has focused substantial attention on walkability
research, aiming to enhance physical activity and sustainable communities through urban …
research, aiming to enhance physical activity and sustainable communities through urban …
Estimating pedestrian traffic with Bluetooth sensor technology
The increasing availability of ubiquitous sensor data on the built environment holds great
potential for a new generation of travel and mobility research. Bluetooth technology, for …
potential for a new generation of travel and mobility research. Bluetooth technology, for …
[HTML][HTML] Origin–destination matrix estimation for public transport: A multi-modal weighted graph approach
Estimating the large-scale Origin–Destination (OD) matrices for multi-modal public transport
(PT) in different cities can vary largely based on the network itself, what modes exist, and …
(PT) in different cities can vary largely based on the network itself, what modes exist, and …
Evaluation Framework for Multi-Modal Public Transport Systems Based on Connectivity and Transfers at Stop Level
Multi-modal public transport (PT) networks within metropolitan areas are often characterized
by complexity resulting mainly from their infrastructure, design, operations, and demand …
by complexity resulting mainly from their infrastructure, design, operations, and demand …
Crowd-sensing commuting patterns using multi-source wireless data: a case of Helsinki commuter trains
Understanding the mobility patterns of commuter train passengers is crucial for developing
efficient and sustainable transportation systems in urban areas. Traditional technologies …
efficient and sustainable transportation systems in urban areas. Traditional technologies …
Identifying shifts in multi-modal travel patterns during special events using mobile data: Celebrating Vappu in Helsinki
Large urban special events significantly contribute to a city's vibrancy and economic growth
but concurrently impose challenges on transportation systems due to alterations in mobility …
but concurrently impose challenges on transportation systems due to alterations in mobility …
Using temporal public transport demand profiles to reveal urban spatial patterns
AEM de Villafranca, Z Huang… - Symposium of the …, 2024 - research.aalto.fi
We present a versatile method, inspired by computational neuroscience, for reconstructing
smooth demand profiles from sparse timestamp data for public transport boardings. We …
smooth demand profiles from sparse timestamp data for public transport boardings. We …