Christina Ludwig
Dados Biográficos
| ID | 4417264 |
|---|---|
| NOME | Christina Ludwig |
| PRENOMES | Christina |
| SOBRENOME | Ludwig |
| ASSINATURA | LUDWIG C |
| AFILIAÇÕES | Heidelberg University |
| ORCID | 0000-0003-4669-3298 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 7 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 7 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2021 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Unveiling spatiotemporal mechanisms of urban traffic
Estimating road speed classes
Crime-associated inequality in geographical access to education
How to assess the needs of vulnerable population groups towards heat-sensitive routing
Heat poses a significant risk to human health, particularly for vulnerable populations, such as pregnant women, older individuals, young children and people with pre-existing medical conditions. In view of this, we formulated a heat stress-avoidant routing approach in Heidelberg, Germany, to ensure mobility and support day-to-day activities in urban areas during heat events. Although the primary focus is on pedestrians, it is also applicable to c…
Private Vehicles Greenhouse Gas Emission Estimation at Street Level for Berlin Based on Open Data
As one of the major greenhouse gas (GHG) emitters that has not seen significant emission reductions in the previous decades, the transportation sector requires special attention from policymakers. Policy decisions, thereby need to be supported by traffic emission assessments. Estimations of traffic emissions often rely on huge amounts of actual traffic data whose availability is limited, hampering the transferability of the estimation approaches …
SocialMedia2Traffic
Traffic prediction is a topic of increasing importance for research and applications in the domain of routing and navigation. Unfortunately, open data are rarely available for this purpose. To overcome this, the authors explored the possibility of using geo-tagged social media data (Twitter), land-use and land-cover point of interest data (from OpenStreetMap) and an adapted betweenness centrality measure as feature spaces to predict the traffic c…
Mapping Public Urban Green Spaces Based on OpenStreetMap and Sentinel-2 Imagery Using Belief Functions
Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets, the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data for urban green space mapping is high but limited due to their respective uncertainties. Sentinel-2 imagery cannot distinguish public from private green spaces and its s…
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Mapping Public Urban Green Spaces Based on OpenStreetMap and Sentinel-2 Imagery Using Belief Functions
Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets, the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data for urban green space mapping is high but limited due to their respective uncertainties. Sentinel-2 imagery cannot distinguish public from private green spaces and its s…
SocialMedia2Traffic
Traffic prediction is a topic of increasing importance for research and applications in the domain of routing and navigation. Unfortunately, open data are rarely available for this purpose. To overcome this, the authors explored the possibility of using geo-tagged social media data (Twitter), land-use and land-cover point of interest data (from OpenStreetMap) and an adapted betweenness centrality measure as feature spaces to predict the traffic c…
Private Vehicles Greenhouse Gas Emission Estimation at Street Level for Berlin Based on Open Data
As one of the major greenhouse gas (GHG) emitters that has not seen significant emission reductions in the previous decades, the transportation sector requires special attention from policymakers. Policy decisions, thereby need to be supported by traffic emission assessments. Estimations of traffic emissions often rely on huge amounts of actual traffic data whose availability is limited, hampering the transferability of the estimation approaches …
How to assess the needs of vulnerable population groups towards heat-sensitive routing
Heat poses a significant risk to human health, particularly for vulnerable populations, such as pregnant women, older individuals, young children and people with pre-existing medical conditions. In view of this, we formulated a heat stress-avoidant routing approach in Heidelberg, Germany, to ensure mobility and support day-to-day activities in urban areas during heat events. Although the primary focus is on pedestrians, it is also applicable to c…
Crime-associated inequality in geographical access to education
Unveiling spatiotemporal mechanisms of urban traffic
Estimating road speed classes
Traffic Prediction and Management Techniques (4 obras) · Computer Science (3 obras) · Geography (3 obras) · Engineering (2 obras) · Environmental Science (2 obras) · Estimation (2 obras) · Human Mobility and Location-Based Analysis (2 obras) · Transport engineering (2 obras) · Architectural engineering (1 obras) · Artificial Intelligence (1 obras)