Titlebook: Urban Informatics Using Mobile Network Data; Travel Behavior Rese Santi Phithakkitnukoon Book 2023 The Editor(s) (if applicable) and The Au

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MAUVE

The Overview of Mobile Network Data-Driven Urban Informatics,an outline of the book’s structure and scope. It discusses traditional methods in understanding travel behavior i.e., survey-based approach. A surveyed information is used as an input for travel demand models that predict future travel behavior and transportation needs from the current travel behavi

CORE

Inferring Passenger Travel Demand Using Mobile Phone CDR Data,me, a lack of infrastructure which include railways, airways and roads. People’s mobility in these African nations is mostly provided by bus services and a large-scale informal public transportation system known as paratransit (for example, car rapides in Senegal, Tro Tros in Ghana, taxis in Uganda

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Inferring and Modeling Migration Flows Using Mobile Phone CDR Data, flows and forecasting future patterns. Over time, less study has been done on modeling migration flows than has been done on modeling other types of flows, such as commutes. One of the biggest hurdles to empirical analysis and theoretical developments in the modeling of migration flows has been a l

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agnostic

Irremediable

,Analysis of Weather Effects on People’s Daily Activity Patterns Using Mobile Phone GPS Data,ature, rainfall, and wind speed are among the weather variables considered in our case study discussed in this chapter. We describe a method for inferring people’s daily activity patterns, including the places they visit and when they do so, as well as the duration of the visit, based on GPS positio

Lyme-disease

Analysis of Tourist Behavior Using Mobile Phone GPS Data,y of mobile phone users in Japan. It deliberates on how enormous mobile phone GPS location records can be utilized in analyzing tourist travel behavior through a number of proxies, including the number of trips made, time spent at places, and mode of transportation used. Furthermore, this chapter ex

輪流

An Outlook for Future Mobile Network Data-Driven Urban Informatics,scusses a dynamic characteristic of mobile network data that continues to change its properties and potential values with the technological advancement, which in turn poses new challenges and exciting research opportunities. This may include new paradigms for data collection as an alternative to the