Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310368473> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W4310368473 endingPage "43" @default.
- W4310368473 startingPage "17" @default.
- W4310368473 abstract "Urban transportation is a key issue worldwide, especially in Sub-Saharan Africa where there has been a rapid increase in population and at the same time, 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 and Ethiopia, and Matatus in Kenya). This brings up the need for transport demand estimation, which is a challenging task, particularly in developing countries. The main reason for the challenge is that the estimation methods usually require large datasets which can be quite difficult, costly, and time-consuming to collect. When it comes to demand estimation, important factors include the accuracy and transparency of data. Accurate data can help us identify trends in passenger demand so that better informed decisions about future investments in infrastructure and capacity can be made. In this chapter, we discuss how passenger demand for public transportation services can be estimated using mobile phone network data. Based on the inferred travel demand, strategic locations for public transportation services such as paratransit and taxi stands can then be suggested accordingly. This chapter is inspired by our original research work done by Demissie et al. (IEEE Trans Intell Transp Syst. 2016;17(9):2466–78; 13th international conference on electrical engineering/electronics, computer, telecommunications and information technology (ECTI-CON). IEEE; 2016)." @default.
- W4310368473 created "2022-12-09" @default.
- W4310368473 creator A5014802853 @default.
- W4310368473 date "2022-11-30" @default.
- W4310368473 modified "2023-09-26" @default.
- W4310368473 title "Inferring Passenger Travel Demand Using Mobile Phone CDR Data" @default.
- W4310368473 cites W1036402534 @default.
- W4310368473 cites W1809720746 @default.
- W4310368473 cites W1970238092 @default.
- W4310368473 cites W1973591419 @default.
- W4310368473 cites W1977752466 @default.
- W4310368473 cites W1978481188 @default.
- W4310368473 cites W1985986451 @default.
- W4310368473 cites W1988400382 @default.
- W4310368473 cites W1990374367 @default.
- W4310368473 cites W1990898695 @default.
- W4310368473 cites W2000603369 @default.
- W4310368473 cites W2004602565 @default.
- W4310368473 cites W2016351790 @default.
- W4310368473 cites W2020281294 @default.
- W4310368473 cites W2032552301 @default.
- W4310368473 cites W2042493333 @default.
- W4310368473 cites W2047254397 @default.
- W4310368473 cites W2076663670 @default.
- W4310368473 cites W2089306105 @default.
- W4310368473 cites W2097225206 @default.
- W4310368473 cites W2097699073 @default.
- W4310368473 cites W2107761673 @default.
- W4310368473 cites W2114092915 @default.
- W4310368473 cites W2123007293 @default.
- W4310368473 cites W2160843879 @default.
- W4310368473 cites W2171128079 @default.
- W4310368473 cites W2556289220 @default.
- W4310368473 doi "https://doi.org/10.1007/978-981-19-6714-6_2" @default.
- W4310368473 hasPublicationYear "2022" @default.
- W4310368473 type Work @default.
- W4310368473 citedByCount "0" @default.
- W4310368473 crossrefType "book-chapter" @default.
- W4310368473 hasAuthorship W4310368473A5014802853 @default.
- W4310368473 hasConcept C127413603 @default.
- W4310368473 hasConcept C138885662 @default.
- W4310368473 hasConcept C144133560 @default.
- W4310368473 hasConcept C183373512 @default.
- W4310368473 hasConcept C18762648 @default.
- W4310368473 hasConcept C201995342 @default.
- W4310368473 hasConcept C22212356 @default.
- W4310368473 hasConcept C2777421447 @default.
- W4310368473 hasConcept C2777853934 @default.
- W4310368473 hasConcept C2778707766 @default.
- W4310368473 hasConcept C2780233690 @default.
- W4310368473 hasConcept C38652104 @default.
- W4310368473 hasConcept C41008148 @default.
- W4310368473 hasConcept C41895202 @default.
- W4310368473 hasConcept C539828613 @default.
- W4310368473 hasConcept C76155785 @default.
- W4310368473 hasConcept C78519656 @default.
- W4310368473 hasConcept C96250715 @default.
- W4310368473 hasConceptScore W4310368473C127413603 @default.
- W4310368473 hasConceptScore W4310368473C138885662 @default.
- W4310368473 hasConceptScore W4310368473C144133560 @default.
- W4310368473 hasConceptScore W4310368473C183373512 @default.
- W4310368473 hasConceptScore W4310368473C18762648 @default.
- W4310368473 hasConceptScore W4310368473C201995342 @default.
- W4310368473 hasConceptScore W4310368473C22212356 @default.
- W4310368473 hasConceptScore W4310368473C2777421447 @default.
- W4310368473 hasConceptScore W4310368473C2777853934 @default.
- W4310368473 hasConceptScore W4310368473C2778707766 @default.
- W4310368473 hasConceptScore W4310368473C2780233690 @default.
- W4310368473 hasConceptScore W4310368473C38652104 @default.
- W4310368473 hasConceptScore W4310368473C41008148 @default.
- W4310368473 hasConceptScore W4310368473C41895202 @default.
- W4310368473 hasConceptScore W4310368473C539828613 @default.
- W4310368473 hasConceptScore W4310368473C76155785 @default.
- W4310368473 hasConceptScore W4310368473C78519656 @default.
- W4310368473 hasConceptScore W4310368473C96250715 @default.
- W4310368473 hasLocation W43103684731 @default.
- W4310368473 hasOpenAccess W4310368473 @default.
- W4310368473 hasPrimaryLocation W43103684731 @default.
- W4310368473 hasRelatedWork W1997524150 @default.
- W4310368473 hasRelatedWork W2014697753 @default.
- W4310368473 hasRelatedWork W2441112851 @default.
- W4310368473 hasRelatedWork W2582368228 @default.
- W4310368473 hasRelatedWork W2781829552 @default.
- W4310368473 hasRelatedWork W2891553764 @default.
- W4310368473 hasRelatedWork W2924625315 @default.
- W4310368473 hasRelatedWork W3095426398 @default.
- W4310368473 hasRelatedWork W4310368473 @default.
- W4310368473 hasRelatedWork W577628079 @default.
- W4310368473 isParatext "false" @default.
- W4310368473 isRetracted "false" @default.
- W4310368473 workType "book-chapter" @default.