Sagi Dalyot
Biographic Data
| ID | 6304007 |
|---|---|
| NAME | Sagi Dalyot |
| GIVEN NAMES | Sagi |
| FAMILY NAME | Dalyot |
| SIGNATURE | DALYOT S |
| AFFILIATIONS | Technion – Israel Institute of Technology |
| ORCID | 0000-0002-5639-8009 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Cross-Domain Travel Mode Detection for Electric Micro-Mobility Using Semi-Supervised Learning
Electric micro-mobility modes, such as e-scooters and e-bikes, are increasingly used in urban areas, posing challenges for accurate travel mode detection in mobility studies. Traditional supervised learning approaches require large labeled datasets, which are costly and time-consuming to generate. To address this, we propose xSeCA, a semi-supervised convolutional autoencoder that leverages both labeled and unlabeled trajectory data to detect elec…
How accessible are cities for visually impaired pedestrians? A case of Greater London
Urban planning and design aim to encourage active mobility by promoting various models that assess a city’s transportability and accessibility. In practice, these models are not attuned to a huge part of the population that have mobility impairments, therefore they uphold a flawed city design and prevent these populations from being an equal part of the inclusive city vision. We suggest an approach to develop new visually impaired mobility access…
Urban planning and design with points of interest and visual perception
Pedestrian navigation is often guided by points-of-interest and visibility, yet most planning and design models ignore these, solely addressing street networks. Our innovative ‘POI VizNet’ tool utilises open-source geographical data for integrating points-of-interest and visibility into network-based framework. The tool was applied to the Fitzrovia redevelopment project in London, to support the reallocation of urban activities based on desired l…
Riding smooth
A growing body of research acknowledges the substantial societal benefits of improved bicycle infrastructure, with recent studies highlighting the significant impact of road surface quality on comfort, safety, and accessibility of cycling. In this paper, we present a cost-benefit assessment of improved surface quality for the City of Copenhagen. The study focuses solely on improved accessibility through higher travel speed, where two large-scale …
Impact of Covid-19 policies on pedestrian traffic and walking patterns
The spread of COVID-19 pandemic provoked new policies and restrictions, which had an unprecedented impact on urban mobility and traffic on local and global scales. While changes in motorized traffic were investigated and monitored throughout the recent pandemic crisis in many cities around the world, not much was done on the changes in pedestrian street-traffic and walking patterns during this time. This study aims to identify, quantify, and anal…
Who is a tourist? Classifying international urban tourists using machine learning
D Visibility Analysis for Evaluating the Attractiveness of Tourism Routes Computed from Social Media Photos
Social media is used nowadays for various location-based applications and services, aspiring to use the vast and timely potential of user-generated content. To evaluate the correctness, reliability and potential of these applications and services, they are mostly evaluated in terms of optimization or compared to existing authoritative data sources and services. With respect to route planning, criterion optimization is mostly implemented to evalua…
Route planning for blind pedestrians using OpenStreetMap
While most of us take wayfinding and orientation for granted, instinctively utilizing our visual channels to do so, millions of blind people around the world face challenges and obstacles when attempting to perform the most basic tasks, such as walking to the corner store or using public transportation. As blind pedestrians lack critical information about the space they traverse outside the familiarity of their home, they are restricted, dependen…
A topological-based approach for determining spatial relationships of complex volumetric parcels in land administration systems
Towards the generation of 3D OpenStreetMap building models from single contributed photographs
Towards the Use of Crowdsourced GIS Data to Georeference Child Well-Being Globally
Adoption of volunteered geographic information into the formal land administration system in Kenya
Towards the Use of Crowdsourced GIS Data to Georeference Child Well-Being Globally
Adoption of volunteered geographic information into the formal land administration system in Kenya
Towards the generation of 3D OpenStreetMap building models from single contributed photographs
D Visibility Analysis for Evaluating the Attractiveness of Tourism Routes Computed from Social Media Photos
Social media is used nowadays for various location-based applications and services, aspiring to use the vast and timely potential of user-generated content. To evaluate the correctness, reliability and potential of these applications and services, they are mostly evaluated in terms of optimization or compared to existing authoritative data sources and services. With respect to route planning, criterion optimization is mostly implemented to evalua…
Route planning for blind pedestrians using OpenStreetMap
While most of us take wayfinding and orientation for granted, instinctively utilizing our visual channels to do so, millions of blind people around the world face challenges and obstacles when attempting to perform the most basic tasks, such as walking to the corner store or using public transportation. As blind pedestrians lack critical information about the space they traverse outside the familiarity of their home, they are restricted, dependen…
A topological-based approach for determining spatial relationships of complex volumetric parcels in land administration systems
Impact of Covid-19 policies on pedestrian traffic and walking patterns
The spread of COVID-19 pandemic provoked new policies and restrictions, which had an unprecedented impact on urban mobility and traffic on local and global scales. While changes in motorized traffic were investigated and monitored throughout the recent pandemic crisis in many cities around the world, not much was done on the changes in pedestrian street-traffic and walking patterns during this time. This study aims to identify, quantify, and anal…
Who is a tourist? Classifying international urban tourists using machine learning
How accessible are cities for visually impaired pedestrians? A case of Greater London
Urban planning and design aim to encourage active mobility by promoting various models that assess a city’s transportability and accessibility. In practice, these models are not attuned to a huge part of the population that have mobility impairments, therefore they uphold a flawed city design and prevent these populations from being an equal part of the inclusive city vision. We suggest an approach to develop new visually impaired mobility access…
Urban planning and design with points of interest and visual perception
Pedestrian navigation is often guided by points-of-interest and visibility, yet most planning and design models ignore these, solely addressing street networks. Our innovative ‘POI VizNet’ tool utilises open-source geographical data for integrating points-of-interest and visibility into network-based framework. The tool was applied to the Fitzrovia redevelopment project in London, to support the reallocation of urban activities based on desired l…
Riding smooth
A growing body of research acknowledges the substantial societal benefits of improved bicycle infrastructure, with recent studies highlighting the significant impact of road surface quality on comfort, safety, and accessibility of cycling. In this paper, we present a cost-benefit assessment of improved surface quality for the City of Copenhagen. The study focuses solely on improved accessibility through higher travel speed, where two large-scale …
Cross-Domain Travel Mode Detection for Electric Micro-Mobility Using Semi-Supervised Learning
Electric micro-mobility modes, such as e-scooters and e-bikes, are increasingly used in urban areas, posing challenges for accurate travel mode detection in mobility studies. Traditional supervised learning approaches require large labeled datasets, which are costly and time-consuming to generate. To address this, we propose xSeCA, a semi-supervised convolutional autoencoder that leverages both labeled and unlabeled trajectory data to detect elec…
Geography (11 works) · Computer Science (8 works) · Engineering (7 works) · Human Mobility and Location-Based Analysis (5 works) · Transport engineering (5 works) · Cartography (4 works) · Civil engineering (4 works) · Urban Transport and Accessibility (4 works) · World Wide Web (4 works) · 3D Modeling in Geospatial Applications (3 works)