Population movements based on mobile phone location data: the Czech Republic

Abstract

The paper presents new approaches to the visualisation of origin-destination flows, in which all three basic parameters of flows between pairs of geographic objects are cartographically expressed simply and clearly: the length of flows, their intensity, and the proportional distribution of both directions between pairs of objects (polarisation of flows). The data on population movements based on mobile phone location are used as the input information, which were collected from the whole territory of the Czech Republic. Apart from the visualisation of origin-destination flows, the paper addresses the issue of the transformation of these data through the application of two different interaction measures. The transformed flows are also cartographically visualised and the functional regions based on the respective interaction measures are used as base maps.

Aktualizácia vymedzenia funkčných regiónov Slovenska: hierarchia, neurčitosť a využiteľnosť

“…i prognózy. Registrujeme už aj vymedzenia funkčných regiónov na základe lokalizačných dát mobilných operátorov (Halás et al 2021a Rodríguez et al 2022. Tu vieme veľmi dobre zachytiť všetky pohyby s pravidelnou dennou periodicitou, ale bez rozlíšenia ich dôvodov.…”

Mapping functional areas in Spain using mobile positioning data

“…However, nowadays a wide range of complementary data can be used, such as mobile positioning data. Compared with census data, mobile positioning data provides information at a higher level of granularity and the time gap is almost inexistent (Aasa et al, 2021; Halás et al, 2021; Killer and Axhausen, 2010; Novak et al, 2013; Šveda and Barlík, 2018; Wang et al, 2021)…”

“…However, nowadays a wide range of complementary data can be used, such as mobile positioning data. Compared with census data, mobile positioning data provides information at a higher level of granularity and the time gap is almost inexistent (Aasa et al, 2021;Halás et al, 2021;Killer and Axhausen, 2010;Novak et al, 2013;Šveda and Barlík, 2018;Wang et al, 2021) To be effective, territorial development policies must rely on information collected at a proper spatial scale. This commentary compares functional and administrative geographies.…”

Deteksi Kecepatan Kendaraan Berbasis Data Ponsel dalam Perspektif Spasial di Jalan Arteri Kota Padang

“…Penelitian ini berfokus pada perubahan koordinat ponsel yang dapat direkam hanya dalam beberapa detik, dengan jumlah data yang sangat banyak dibutuhkan suatu proses pengolahan data yang runtut dan logis. Berbeda dengan penelitian terdahulu (Fina et al, 2021) dan (Halás et al, 2021) yang menghitung kecepatan perjalanan dengan memasukkan lintasan GPS, penelitian ini akan mengkaji kecepatan kendaraan berdasarkan nilai koordinat, waktu dan device_id di suatu ruas jalan penelitian pada waktu kendaraan melintas dalam selang waktu setiap jam. Melalui penelitian ini diharapkan dapat memberikan contoh konkret pemanfaatan big data telco untuk deteksi kecepatan kendaraan yang murah, cepat dan up date tanpa harus instalasi alat di lapangan.…”