Open-source geoinformation,
methods and software

for the benefit of the
environment and society.

HeiGIT (Heidelberg Institute for Geoinformation Technology) advances geoinformation technology for the benefit of society and the environment. We bridge the gap between fundamental research in geoinformatics and practical applications by developing innovative tools and methods. Examples include customized geodata for humanitarian missions and intelligent routing for disaster response and climate action.

Using advances in spatial data processing and machine learning, we enrich and analyze geodata like OpenStreetMap, offering free tools and insights to researchers, public authorities, and non-profit organizations. Founded in 2019 as a non-profit affiliated with Heidelberg University, HeiGIT receives core funding from the Klaus Tschira Foundation.

Our Focus

Our mission is to bridge the gap between
fundamental research in geoinformatics and practical applications.

Big Spatial Data Analytics

Our services and tools enhance the understanding of Web 2.0 data. We employ spatial data mining and machine learning techniques to analyze, process, enrich, and visualize this data.

Climate Action

To bridge the gap between climate change awareness and effective societal responses, we provide actionable data analyses and tools for stakeholders and citizens.

Geoinformation for Humanitarian Aid

In close cooperation with international aid organizations we develop solutions and services to support humanitarian missions.

Smart Mobility

We develop globally available services and interfaces that support a wide range of mobility profiles, enabling sustainable transportation and humanitarian logistics.

Latest Publications and Posts

See all publications

5612809 HeiGIT 1 apa 5 date desc 28014 https://heigit.org/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22F4L73KQ2%22%2C%22library%22%3A%7B%22id%22%3A5612809%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Kong%20et%20al.%22%2C%22parsedDate%22%3A%222027-01-01%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BKong%2C%20G.%2C%20Ulrich%2C%20V.%2C%20Knoblauch%2C%20S.%2C%20Martin%2C%20M.%2C%20Schott%2C%20M.%2C%20von%20Elverfeldt%2C%20K.%2C%20Zipf%2C%20A.%2C%20%26amp%3B%20Block%2C%20S.%20%282027%29.%20Residential%20heating%20emissions%20tool%20in%20the%20Climate%20Action%20Navigator%3A%20High-resolution%20estimation%20based%20on%20open%20data.%20%26lt%3Bi%26gt%3BComputers%2C%20Environment%20and%20Urban%20Systems%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B131%26lt%3B%5C%2Fi%26gt%3B%2C%20102525.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.compenvurbsys.2026.102525%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.compenvurbsys.2026.102525%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Residential%20heating%20emissions%20tool%20in%20the%20Climate%20Action%20Navigator%3A%20High-resolution%20estimation%20based%20on%20open%20data%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gefei%22%2C%22lastName%22%3A%22Kong%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Veit%22%2C%22lastName%22%3A%22Ulrich%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Steffen%22%2C%22lastName%22%3A%22Knoblauch%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maria%22%2C%22lastName%22%3A%22Martin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Moritz%22%2C%22lastName%22%3A%22Schott%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kirsten%22%2C%22lastName%22%3A%22von%20Elverfeldt%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexander%22%2C%22lastName%22%3A%22Zipf%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sebasti%5Cu00e1n%22%2C%22lastName%22%3A%22Block%22%7D%5D%2C%22abstractNote%22%3A%22Reducing%20CO2%20emissions%20from%20residential%20space%20heating%20is%20critical%20to%20achieve%20carbon%20neutrality%2C%20particularly%20in%20urban%20areas.%20However%2C%20effective%20climate%20action%20is%20often%20hindered%20by%20the%20lack%20of%20precise%20location-specific%20emissions%20data.%20This%20study%20introduces%20the%20first%20web%20tool%20for%20estimating%20direct%20%28i.e.%2C%20scope%201%29%20carbon%20dioxide%20emissions%20resulting%20from%20space%20heating%20of%20residential%20buildings%20at%20a%20sub-city%20scale%20%28100-m%20resolution%29.%20The%20web%20tool%20employs%20a%20bottom-up%20approach%20entirely%20based%20on%20publicly%20available%20data%2C%20including%20buildings%5Cu2019%20age%20of%20construction%20and%20energy%20source%2C%20average%20living%20space%20per%20capita%2C%20and%20population%20counts.%20Validation%20against%20official%20emission%20inventories%20at%20the%20national%20level%20and%20for%20four%20cities%20in%20Germany%20showed%20that%20the%20tool%5Cu2019s%20CO2%20estimates%20deviated%20by%20less%20than%202%25%20Visualized%20spatial%20emission%20patterns%20reveal%20their%20spatial%20heterogeneity%20and%20apparent%20associations%20with%20urban%20morphology%2C%20highlighting%20areas%20where%20action%20could%20be%20prioritized.%20A%20web-based%20dashboard%20is%20available%20at%20HeiGIT%5Cu2019s%20Climate%20Action%20Navigator%2C%20and%20the%20code%20of%20the%20residential%20heating%20emission%20tool%20available%20on%20GitLab.%22%2C%22date%22%3A%222027-01-01%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.compenvurbsys.2026.102525%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.sciencedirect.com%5C%2Fscience%5C%2Farticle%5C%2Fpii%5C%2FS0198971526001274%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%220198-9715%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%223HCGPE8J%22%5D%2C%22dateModified%22%3A%222026-10-01T11%3A56%3A34Z%22%7D%7D%2C%7B%22key%22%3A%226IC82HJH%22%2C%22library%22%3A%7B%22id%22%3A5612809%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Grinblat%20et%20al.%22%2C%22parsedDate%22%3A%222026-09-30%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BGrinblat%2C%20Y.%2C%20Tost%2C%20H.%2C%20Benedyk%2C%20A.%2C%20Meyer%20Lindenberg%2C%20A.%2C%20Saha%2C%20S.%2C%20Zipf%2C%20A.%2C%20%26amp%3B%20Fulman%2C%20N.%20%282026%29.%20A%20genus-labeled%20dataset%20of%20individual%20trees%20outside%20forests%20in%20Baden-W%26%23xFC%3Brttemberg%2C%20Germany.%20%26lt%3Bi%26gt%3BScientific%20Data%26lt%3B%5C%2Fi%26gt%3B.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs41597-026-08400-y%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs41597-026-08400-y%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22A%20genus-labeled%20dataset%20of%20individual%20trees%20outside%20forests%20in%20Baden-W%5Cu00fcrttemberg%2C%20Germany%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yulia%22%2C%22lastName%22%3A%22Grinblat%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Heike%22%2C%22lastName%22%3A%22Tost%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anastasia%22%2C%22lastName%22%3A%22Benedyk%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andreas%22%2C%22lastName%22%3A%22Meyer%20Lindenberg%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Somidh%22%2C%22lastName%22%3A%22Saha%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexander%22%2C%22lastName%22%3A%22Zipf%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nir%22%2C%22lastName%22%3A%22Fulman%22%7D%5D%2C%22abstractNote%22%3A%22Detailed%20data%20on%20individual%20trees%20growing%20outside%20forests%20%28TOF%29%20are%20essential%20for%20arboriculture%2C%20biodiversity%20assessment%2C%20ecosystem%20services%20assessment%2C%20climate%20adaptation%2C%20and%20environmental%20health%20research.%20However%2C%20existing%20datasets%20are%20often%20incomplete%20and%20seldom%20provide%20taxonomic%20information%20beyond%20publicly%20managed%20trees%20in%20cities%20of%20Germany%20and%20other%20countries%20where%20maintaining%20a%20tree%20cadaster%20is%20a%20legal%20requirement.%20Here%2C%20we%20present%20for%20the%20first%20time%20a%20statewide%20dataset%20of%20individual%20TOF%20in%20the%20state%20of%20Baden-W%5Cu00fcrttemberg%2C%20Germany%2C%20including%20tree%20locations%2C%20crown%20geometry%2C%20height%2C%20and%20genus-level%20labels.%20We%20mapped%20trees%20from%20high-resolution%20multi-spectral%20aerial%20imagery%20and%20height%20data%20using%20deep%20learning%2C%20with%20terrestrial%20LiDAR%20surveys%20used%20to%20create%20training%20labels%20within%20the%20URBORETUM%20project.%20The%20released%20dataset%20includes%20ten%20genus-level%20classes%2C%20including%20the%20aggregate%20categories%20%5Cu201cOther%20Deciduous%5Cu201d%20and%20%5Cu201cConiferous%5Cu201d%20where%20assignment%20from%20aerial%20imagery%20is%20uncertain.%20The%20final%20ten-class%20genus%20model%20achieved%20a%20mean%20average%20precision%20%28mAP%29%20of%200.382%20at%20an%20intersection-over-union%20%28IoU%29%20threshold%20of%200.5%20%28mAP%400.5%29%20and%20a%20macro-averaged%20F1%20score%20of%200.627%20for%20taxonomic%20class%20assignment%2C%20while%20a%20separately%20trained%20one-class%20tree%20detector%20achieved%20an%20mAP%400.5%20of%200.647%2C%20indicating%20stronger%20reliability%20for%20crown%20detection%20than%20for%20taxonomic%20classification.%20The%20final%20inventory%20contains%2016.3%20million%20predicted%20trees%20across%20the%20mapped%20non-forest%20domain%20of%20Baden-W%5Cu00fcrttemberg.%20Beyond%20providing%20a%20statewide%20dataset%2C%20this%20work%20offers%20a%20scalable%20vision%20and%20operational%20blueprint%20for%20an%20evolving%20tree%20inventory%20that%20can%20be%20systematically%20improved%20over%20time%20through%20better%20imagery%2C%20richer%20local%20reference%20data%2C%20and%20targeted%20retraining.%22%2C%22date%22%3A%222026-09-30%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1038%5C%2Fs41597-026-08400-y%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs41597-026-08400-y%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222052-4463%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%223HCGPE8J%22%5D%2C%22dateModified%22%3A%222026-10-01T12%3A03%3A51Z%22%7D%7D%2C%7B%22key%22%3A%22Q7N34HYV%22%2C%22library%22%3A%7B%22id%22%3A5612809%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Wahl%20et%20al.%22%2C%22parsedDate%22%3A%222026-09-12%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BWahl%2C%20C.%2C%20Lautenbach%2C%20S.%2C%20Tokatlian%20Rodr%26%23xED%3Bguez%2C%20A.%2C%20%26amp%3B%20Becker%2C%20N.%20%282026%29.%20Effects%20of%20urban%20building%20structures%20on%20the%20distribution%20of%20breeding%20sites%20and%20ovitrap%20egg%20counts%20of%20Aedes%20albopictus%20in%20Pfaffengrund%2C%20Heidelberg%2C%20Germany.%20%26lt%3Bi%26gt%3BParasites%20%26amp%3B%20Vectors%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B19%26lt%3B%5C%2Fi%26gt%3B%281%29%2C%20393.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1186%5C%2Fs13071-026-07655-z%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1186%5C%2Fs13071-026-07655-z%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Effects%20of%20urban%20building%20structures%20on%20the%20distribution%20of%20breeding%20sites%20and%20ovitrap%20egg%20counts%20of%20Aedes%20albopictus%20in%20Pfaffengrund%2C%20Heidelberg%2C%20Germany%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Charlie%22%2C%22lastName%22%3A%22Wahl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sven%22%2C%22lastName%22%3A%22Lautenbach%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Artin%22%2C%22lastName%22%3A%22Tokatlian%20Rodr%5Cu00edguez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Norbert%22%2C%22lastName%22%3A%22Becker%22%7D%5D%2C%22abstractNote%22%3A%22In%20recent%20years%2C%20the%20increased%20abundance%20and%20expansion%20of%20the%20invasive%20species%20Aedes%20albopictus%20has%20become%20a%20nuisance%20and%20health%20threat%20in%20urban%20areas%20of%20Germany.%20While%20intensive%20control%20and%20monitoring%20measures%20have%20shown%20promising%20results%20to%20reduce%20populations%20in%20urban%20areas%2C%20the%20growing%20challenges%20of%20these%20measures%20in%20newly%20affected%20areas%20have%20raised%20concerns%20regarding%20cost%20effectiveness%20and%20optimization%20in%20efficiency.%22%2C%22date%22%3A%222026-09-12%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1186%5C%2Fs13071-026-07655-z%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1186%5C%2Fs13071-026-07655-z%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221756-3305%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%223HCGPE8J%22%5D%2C%22dateModified%22%3A%222026-09-22T08%3A25%3A44Z%22%7D%7D%2C%7B%22key%22%3A%22KT32GVHF%22%2C%22library%22%3A%7B%22id%22%3A5612809%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Toprakkiran%20et%20al.%22%2C%22parsedDate%22%3A%222026-09-01%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BToprakkiran%2C%20N.%2C%20Treskova%2C%20M.%2C%20Tosun%2C%20J.%2C%20Zipf%2C%20A.%2C%20%26amp%3B%20Rockl%26%23xF6%3Bv%2C%20J.%20%282026%29.%20Rising%20health%20inequities%20require%20looking%20beyond%20health%20systems.%20%26lt%3Bi%26gt%3BNature%20Human%20Behaviour%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B10%26lt%3B%5C%2Fi%26gt%3B%289%29%2C%201618%26%23x2013%3B1621.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs41562-026-02565-7%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs41562-026-02565-7%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Rising%20health%20inequities%20require%20looking%20beyond%20health%20systems%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nihan%22%2C%22lastName%22%3A%22Toprakkiran%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marina%22%2C%22lastName%22%3A%22Treskova%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jale%22%2C%22lastName%22%3A%22Tosun%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexander%22%2C%22lastName%22%3A%22Zipf%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Joacim%22%2C%22lastName%22%3A%22Rockl%5Cu00f6v%22%7D%5D%2C%22abstractNote%22%3A%22Global%20health%20inequity%20is%20increasingly%20driven%20by%20the%20triple%20planetary%20crisis%20of%20climate%20change%2C%20biodiversity%20loss%20and%20pollution.%20To%20address%20it%2C%20we%20must%20place%20health%20at%20the%20centre%20of%20climate%20and%20environmental%20action%20and%20develop%20interventions%20that%20target%20both%20individual%20behaviours%20and%20structural%20drivers%20of%20inequality.%22%2C%22date%22%3A%222026-09-01%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1038%5C%2Fs41562-026-02565-7%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs41562-026-02565-7%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222397-3374%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%223HCGPE8J%22%5D%2C%22dateModified%22%3A%222026-09-22T13%3A07%3A20Z%22%7D%7D%2C%7B%22key%22%3A%22X6NRLT6J%22%2C%22library%22%3A%7B%22id%22%3A5612809%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Fulman%20et%20al.%22%2C%22parsedDate%22%3A%222026-09-01%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BFulman%2C%20N.%2C%20Memduho%26%23x11F%3Blu%2C%20A.%2C%20Huber%2C%20J.%2C%20%26amp%3B%20Zipf%2C%20A.%20%282026%29.%20Behaviorally%20calibrated%20metrics%20for%20comparing%20alcohol%20outlet%20configurations%20along%20after-work%20walking%20commutes%20in%20Mannheim%2C%20Germany.%20%26lt%3Bi%26gt%3BCities%26lt%3B%5C%2Fi%26gt%3B%2C%20107502.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.cities.2026.107502%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.cities.2026.107502%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Behaviorally%20calibrated%20metrics%20for%20comparing%20alcohol%20outlet%20configurations%20along%20after-work%20walking%20commutes%20in%20Mannheim%2C%20Germany%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nir%22%2C%22lastName%22%3A%22Fulman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Abdulkadir%22%2C%22lastName%22%3A%22Memduho%5Cu011flu%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Johannes%22%2C%22lastName%22%3A%22Huber%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexander%22%2C%22lastName%22%3A%22Zipf%22%7D%5D%2C%22abstractNote%22%3A%22Moderate%20alcohol%20use%20is%20increasingly%20viewed%20as%20a%20potential%20health%20concern.%20Existing%20spatial%20exposure%20metrics%2C%20however%2C%20remain%20largely%20behavior-agnostic%3A%20they%20map%20the%20presence%20of%20outlets%20but%20do%20not%20account%20for%20how%20people%26%23039%3Bs%20routine%20movements%20enable%20same-day%20alcohol%20purchases.%20We%20introduce%20behaviorally%20calibrated%2C%20detour-based%20indices%20tailored%20to%20after-work%20alcohol%20acquisitions%20on%20walking%20commutes.%20Using%20a%20revealed-%20and%20stated-preference%20survey%20of%20230%20eligible%20adults%20who%20reported%20a%20recent%20on-foot%20after-work%20alcohol%20purchase%20in%20Mannheim%20and%20Heidelberg%2C%20Germany%2C%20we%20calibrate%20three%20detour%20thresholds%20for%20after-work%20alcohol%20runs%20and%20embed%20them%20in%20two%20path-based%20metrics%20on%20Mannheim%26%23039%3Bs%20pedestrian%20network%3A%20a%20home-level%20index%20capturing%20the%20share%20of%20transit%5Cu2013home%20walking%20paths%20that%20include%20at%20least%20one%20feasible%20purchase%20opportunity%2C%20and%20a%20store-level%20leverage%20index%20capturing%20how%20many%20such%20paths%20each%20outlet%20can%20intercept.%20At%20the%20250%5Cu00a0m%20detour%20threshold%2C%20half%20of%20stop%5Cu2013home%20walking%20segments%20contain%20a%20purchase%20opportunity%2C%20and%2029%25%20of%20homes%20have%20such%20opportunities%20on%20all%20stop%5Cu2013home%20paths.%20Kiosks%2C%20while%20only%20about%2028%25%20of%20outlets%2C%20account%20for%20roughly%2038%25%20of%20this%20after-work%20leverage.%20We%20then%20use%20the%20indices%20in%20a%20comparison%20of%20three%20outlet%20rules.%20When%20exposure%20is%20recalculated%20from%20the%20remaining%20outlets%2C%20a%20specialist-only%20rule%20produces%20about%2075%25%20lower%20mean%20route-based%20opportunity%20than%20the%20current%20outlet%20set%2C%20while%20excluding%20the%2025%25%20highest-leverage%20outlets%20produces%20a%20mean%20reduction%20close%20to%20a%20convenience-channel%20restriction%20that%20excludes%20more%20alcohol-sale%20locations.%20We%20conclude%20by%20outlining%20extensions%20toward%20a%20broader%20class%20of%20purchase-chain-specific%20exposure%20metrics.%22%2C%22date%22%3A%222026-09-01%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.cities.2026.107502%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.sciencedirect.com%5C%2Fscience%5C%2Farticle%5C%2Fpii%5C%2FS0264275126007341%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%220264-2751%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%223HCGPE8J%22%5D%2C%22dateModified%22%3A%222026-09-07T08%3A21%3A11Z%22%7D%7D%5D%7D
Kong, G., Ulrich, V., Knoblauch, S., Martin, M., Schott, M., von Elverfeldt, K., Zipf, A., & Block, S. (2027). Residential heating emissions tool in the Climate Action Navigator: High-resolution estimation based on open data. Computers, Environment and Urban Systems, 131, 102525. https://doi.org/10.1016/j.compenvurbsys.2026.102525
Grinblat, Y., Tost, H., Benedyk, A., Meyer Lindenberg, A., Saha, S., Zipf, A., & Fulman, N. (2026). A genus-labeled dataset of individual trees outside forests in Baden-Württemberg, Germany. Scientific Data. https://doi.org/10.1038/s41597-026-08400-y
Wahl, C., Lautenbach, S., Tokatlian Rodríguez, A., & Becker, N. (2026). Effects of urban building structures on the distribution of breeding sites and ovitrap egg counts of Aedes albopictus in Pfaffengrund, Heidelberg, Germany. Parasites & Vectors, 19(1), 393. https://doi.org/10.1186/s13071-026-07655-z
Toprakkiran, N., Treskova, M., Tosun, J., Zipf, A., & Rocklöv, J. (2026). Rising health inequities require looking beyond health systems. Nature Human Behaviour, 10(9), 1618–1621. https://doi.org/10.1038/s41562-026-02565-7
Fulman, N., Memduhoğlu, A., Huber, J., & Zipf, A. (2026). Behaviorally calibrated metrics for comparing alcohol outlet configurations along after-work walking commutes in Mannheim, Germany. Cities, 107502. https://doi.org/10.1016/j.cities.2026.107502

See all posts