| Homepage (that I really need to update) | https://lisathalheimer.github.io |
We find large non-linear effects of weather and conflict on internal displacement in Somalia, while displacement itself has no detectable effect on conflict â our new paper in Global Environmental Change: https://sciencedirect.com/science/article/pii/S0959378023000079
RT estebanmoro: Our new paper is out, led by \@TianyuSu1. Using mobility data, we measure the rhythm of the streets, that is, the temporal patterns of activity in street segments of urban areas. We find 10 types of streets with very different rhythms. (1/5) đ§”đ
https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-022-00355-5
As the living tissue connecting urban places, streets play significant roles in driving city development, providing essential access, and promoting human interactions. Understanding street activities and how these activities vary across different streets is critical for designing both efficient and livable streets. However, current street classification frameworks primarily focus on either streetsâ functions in transportation networks or their adjacent land uses rather than actual activity patterns, resulting in coarse classifications. This research proposes an activity-based street classification framework to categorize street segments based on their temporal street activity patterns, which is derived from high-resolution de-identified and privacy-enhanced mobility data. We then apply the proposed framework to 18,023 street segments in the City of Boston and reveal 10 distinct activity-based street types (ASTs). These ASTs highlight dynamic street activities on streets, which complements existing street classification frameworks, which focus on the static or transportation characteristics of the street segments. Our results show that a street classification framework based on temporal street activity patterns can identify street categories at a finer granularity than current methods, which can offer useful implications for state-of-the-art urban management and planning. In particular, we find that our classification distinguishes better those streets where crime is more prevalent than current functional or contextual classifications of streets.
Lovely illustrated, interactive âȘ#GoogleDoodle⏠today celebrating American geologist and oceanographic cartographer Marie Tharp.
https://g.co/doodle/2m2axqe
Hey #econtwitter - we have 23 groups for specific econ fields already. Remember, if you want to post to the group, just add the group name to your post.
If you want to add a new group here is the link: https://docs.google.com/spreadsheets/d/1DVDfc3V7zTpghG0zbIYhHGQFU0rvy4BtpVQiNFn3DC4/edit
Sheet1 The purpose of this document is to list Mastodon groups and hashtags, which can be used to follow posts relevant for a specific econ field. Feel free to create and/or add more groups! USAGE: Tagging a bot in a post with @[email protected] will cause the bot to retweet your post to all who f...
Professional #introduction â Iâm a climate economist in Bonn, Germany who works on extreme weather & migration. My main focus these days is the impact of droughts and floods on populations on the move and how this links to conflict. I work with NGOs and scientists to provide finance mechanisms to vulnerable people before they get hit by a disaster. Itâs called forecast-based financing. 
Laura Alessandretti
Sarah Clarke
Prof. Stefan Rahmstorf
Igor Letina
Gonéri