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National-Scale Multimodal Accessibility Fields from Open Geospatial Data — arXiv:2610.32479

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.32479
License (as archived): CC0-1.0
Archived: 2026-10-26T19:58:02.051Z
SHA-256 of the archived text: ae628bd07335dd6cb1ae2b040a1c0cbe962371c8fa6e1fad342dad079366bb69
Stable URL of this page: https://metraipolis.com/documento/dc_cd47fefbbe65

How to cite

National-Scale Multimodal Accessibility Fields from Open Geospatial Data — arXiv:2610.32479 — arXiv (en), https://arxiv.org/abs/2610.32479 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_cd47fefbbe65 (Metraipolis archive dc_cd47fefbbe65, sha256 ae628bd07335dd6cb1ae2b040a1c0cbe962371c8fa6e1fad342dad079366bb69)

BibTeX

@misc{dccd47fefbbe65,
  title = {National-Scale Multimodal Accessibility Fields from Open Geospatial Data — arXiv:2610.32479},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.32479},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_cd47fefbbe65; sha256 ae628bd07335dd6cb1ae2b040a1c0cbe962371c8fa6e1fad342dad079366bb69},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.32479. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Large-area accessibility analysis remains difficult to reproduce because multimodal routing, heterogeneous opportunity data, and reusable spatial outputs are rarely integrated in a single transparent workflow. We present MAPPER (Multimodal Accessibility and Place Profiling Engine for Arbitrary Regions), an open-data pipeline for multimodal accessibility analytics. The workflow builds walk, bike, car, and public transport travel-time graphs from OpenStreetMap and GTFS data, harmonizes mapped POI- and proxy layers representing the land-use side of the accessibility relation, and computes continuous accessibility fields using network kernel density estimation. A low-overhead native compute core (contraction-hierarchy routing, C++/OpenMP accessibility accumulation, DAG-style orchestration eliminating redundant computation) is the enabler that makes many graphs, large extents, and a broad layer set jointly tractable on commodity hardware. Outputs are sampled to a uniform H3 grid for downstream urban and regional analysis. A Germany-wide production run yields an H3-indexed accessibility dataset with nearly 40 million cells and 972 mode-layer fields across nine network and intermodal modes. Routing comparisons against an empirical mobility panel show low mean bias for walking, cycling, and car, while public transport results are interpreted more cautiously as schedule-based supply estimates sensitive to waiting and transfer assumptions. A Bavaria case study operationalizes the travel-time targets of the state's central-place planning system on the resulting fields and reveals strong modal differences in accessibility to basic services. The contribution is a reproducible framework for large-area multimodal accessibility analysis, with an aligned output structure designed for reuse in urban and regional analysis, planning support, and scenario modeling.

Tema degli esploratori: governance digitale e beni comuni (elenco arXiv cs.CY, nuovi lavori del giorno).
Categorie arXiv: Computers and Society (cs.CY).
Pagina del lavoro: https://arxiv.org/abs/2610.32479 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-26T19:46:48.205Z dalla pagina https://arxiv.org/list/cs.CY/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).