Simon Scheider
Biographic Data
| ID | 3064409 |
|---|---|
| NAME | Simon Scheider |
| GIVEN NAMES | Simon |
| FAMILY NAME | Scheider |
| SIGNATURE | SCHEIDER S |
| AFFILIATIONS | Utrecht University |
| ORCID | 0000-0002-2267-4810 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Educational inequality due to lack of validity
The Netherlands have a problem regarding quality as well as equality in their school system. Many students fail to reach minimal skill levels and underachieve with respect to their own learning capacities. They end up on educational levels that do not correspond to their learning potential, especially when their parents do not speak the language or cannot afford tutoring to exploit this potential. In this article, we argue that important reasons …
The rebirth of urban subcenters
Why do some neighborhoods thrive, and others do not? While the importance of the local amenity mix has been established as a key determinant of local livability, its link to urban transport infrastructure remains understudied, partially due to a lack of data. Using spatiotemporal social media data from Foursquare, we analyze the impact of metro stations which opened between 2014 and 2017 on the amenity mix of surrounding neighborhoods in nine Eur…
What Are Good Situations for Running? A Machine Learning Study Using Mobile and Geographical Data
Running is a popular form of physical activity. Personal, social, and environmental determinants influence the engagement of the individual. To get insight in the relation between running behavior and external situations for different types of users, we carried out an extensive data mining study on large-scale datasets. We combined 4 years of historical running data (collected by a mobile exercise application from over 10K participants) with weat…
Where day trippers and tourists go
This article compares the spatio-temporal concentration and dispersion of day trippers and tourists from Shenzhen as well as from the rest of Mainland China in Hong Kong using Weibo check-in data. The results show that hotspots of visitors from the rest of Mainland China are mostly concentrated in downtown areas, while visitors from Shenzhen also generate hotspots closer to the border. The activity pattern of day trippers is more spatially disper…
Why geographic data science is not a science
Data Science" has taken many disciplines by storm. And for a good reason: New forms and unseen quantities of data enter nearly every scientific field, substantially changing the ways how scientists do science, and potentially allowing them to answer old questions or to pose them in novel ways. The recent success of Data Science is also reflected in corresponding study programs and curricula and the emergence of specialized branches, such as Geogr…
Where day trippers and tourists go
This article compares the spatio-temporal concentration and dispersion of day trippers and tourists from Shenzhen as well as from the rest of Mainland China in Hong Kong using Weibo check-in data. The results show that hotspots of visitors from the rest of Mainland China are mostly concentrated in downtown areas, while visitors from Shenzhen also generate hotspots closer to the border. The activity pattern of day trippers is more spatially disper…
Why geographic data science is not a science
Data Science" has taken many disciplines by storm. And for a good reason: New forms and unseen quantities of data enter nearly every scientific field, substantially changing the ways how scientists do science, and potentially allowing them to answer old questions or to pose them in novel ways. The recent success of Data Science is also reflected in corresponding study programs and curricula and the emergence of specialized branches, such as Geogr…
Where day trippers and tourists go
This article compares the spatio-temporal concentration and dispersion of day trippers and tourists from Shenzhen as well as from the rest of Mainland China in Hong Kong using Weibo check-in data. The results show that hotspots of visitors from the rest of Mainland China are mostly concentrated in downtown areas, while visitors from Shenzhen also generate hotspots closer to the border. The activity pattern of day trippers is more spatially disper…
Why geographic data science is not a science
Data Science" has taken many disciplines by storm. And for a good reason: New forms and unseen quantities of data enter nearly every scientific field, substantially changing the ways how scientists do science, and potentially allowing them to answer old questions or to pose them in novel ways. The recent success of Data Science is also reflected in corresponding study programs and curricula and the emergence of specialized branches, such as Geogr…
What Are Good Situations for Running? A Machine Learning Study Using Mobile and Geographical Data
Running is a popular form of physical activity. Personal, social, and environmental determinants influence the engagement of the individual. To get insight in the relation between running behavior and external situations for different types of users, we carried out an extensive data mining study on large-scale datasets. We combined 4 years of historical running data (collected by a mobile exercise application from over 10K participants) with weat…
The rebirth of urban subcenters
Why do some neighborhoods thrive, and others do not? While the importance of the local amenity mix has been established as a key determinant of local livability, its link to urban transport infrastructure remains understudied, partially due to a lack of data. Using spatiotemporal social media data from Foursquare, we analyze the impact of metro stations which opened between 2014 and 2017 on the amenity mix of surrounding neighborhoods in nine Eur…
Educational inequality due to lack of validity
The Netherlands have a problem regarding quality as well as equality in their school system. Many students fail to reach minimal skill levels and underachieve with respect to their own learning capacities. They end up on educational levels that do not correspond to their learning potential, especially when their parents do not speak the language or cannot afford tutoring to exploit this potential. In this article, we argue that important reasons …
Computer Science (3 works) · Urban Transport and Accessibility (3 works) · Business (2 works) · Geography (2 works) · Political science (2 works) · Psychology (2 works) · Advertising (1 work) · Amenity (1 work) · Artificial Intelligence (1 work) · China (1 work)