Chapter 11: Data for travel behaviour research: recent advances, challenges and opportunities in the era of smart cities
Travel behaviour is a field that relies heavily on empirical data, especially data representing people’s movement and usage of different transport systems and networks in the city. This chapter will summarise the traditional data used for travel behaviour research and then considers the discourse su...
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| Príomhchruthaitheoirí: | , , , |
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| Formáid: | Online |
| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
Edward Elgar Publishing
2024
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| Ábhair: | |
| Rochtain ar líne: | https://directory.doabooks.org/handle/20.500.12854/136590 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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| _version_ | 1869529591059578880 |
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| author | He, Sylvia Y. Tao, Sui Wang, Zhenzhen Luo, Shuli |
| author_browse | He, Sylvia Y. Luo, Shuli Tao, Sui Wang, Zhenzhen |
| author_facet | He, Sylvia Y. Tao, Sui Wang, Zhenzhen Luo, Shuli |
| author_sort | He, Sylvia Y. |
| collection | Directory of Open Access Books |
| description | Travel behaviour is a field that relies heavily on empirical data, especially data representing people’s movement and usage of different transport systems and networks in the city. This chapter will summarise the traditional data used for travel behaviour research and then considers the discourse surrounding the development of smart cities and the associated new (and often big) data and analytical methods that enable the exploration of uncharted territory in travel behaviour research. We will review recent advances to travel behaviour research that utilise new and emerging data. These studies are grouped by four main types of new and emerging data: Global Positioning System and trajectory data, smart card data, mobile phone data and social media data. In addition, we will identify the potential value of other types of data in smart cities, such as charging data derived from e-mobilities, and present a visualisation analysis of an example dataset. Finally, we will summarise key common challenges and opportunities related to data in the context of travel behaviour research in the era of smart cities. We will conclude the chapter with a brief recapitulation and discussion of potential future research directions. |
| format | Online |
| id | doab-20.500.12854ir-136590 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Edward Elgar Publishing |
| publisherStr | Edward Elgar Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1365902024-04-30T08:41:38Z Chapter 11: Data for travel behaviour research: recent advances, challenges and opportunities in the era of smart cities He, Sylvia Y. Tao, Sui Wang, Zhenzhen Luo, Shuli Big data; Ict; Emerging data; Future transport; Smart cities; Travel behaviour RPT Travel behaviour is a field that relies heavily on empirical data, especially data representing people’s movement and usage of different transport systems and networks in the city. This chapter will summarise the traditional data used for travel behaviour research and then considers the discourse surrounding the development of smart cities and the associated new (and often big) data and analytical methods that enable the exploration of uncharted territory in travel behaviour research. We will review recent advances to travel behaviour research that utilise new and emerging data. These studies are grouped by four main types of new and emerging data: Global Positioning System and trajectory data, smart card data, mobile phone data and social media data. In addition, we will identify the potential value of other types of data in smart cities, such as charging data derived from e-mobilities, and present a visualisation analysis of an example dataset. Finally, we will summarise key common challenges and opportunities related to data in the context of travel behaviour research in the era of smart cities. We will conclude the chapter with a brief recapitulation and discussion of potential future research directions. Published 2024-04-30T08:41:27Z 2024-04-30T08:41:27Z 2024-04-09 chapter 9781839105746 https://directory.doabooks.org/handle/20.500.12854/136590 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.e-elgar.com/shop/gbp/handbook-of-travel-behaviour-9781839105739.html https://www.elgaronline.com/edcollchap-oa/book/9781839105746/book-part-9781839105746-18.xml Edward Elgar Publishing Edward Elgar Publishing 10.4337/9781839105746.00018 10.4337/9781839105746.00018 01ceac28-75b4-492a-8eec-f9b98bc6b28c https://creativecommons.org/licenses/by-nc-nd/4.0/ 9781839105746 Edward Elgar Publishing Cheltenham, UK open access |
| spellingShingle | Big data; Ict; Emerging data; Future transport; Smart cities; Travel behaviour RPT He, Sylvia Y. Tao, Sui Wang, Zhenzhen Luo, Shuli Chapter 11: Data for travel behaviour research: recent advances, challenges and opportunities in the era of smart cities |
| title | Chapter 11: Data for travel behaviour research: recent advances, challenges and opportunities in the era of smart cities |
| title_full | Chapter 11: Data for travel behaviour research: recent advances, challenges and opportunities in the era of smart cities |
| title_fullStr | Chapter 11: Data for travel behaviour research: recent advances, challenges and opportunities in the era of smart cities |
| title_full_unstemmed | Chapter 11: Data for travel behaviour research: recent advances, challenges and opportunities in the era of smart cities |
| title_short | Chapter 11: Data for travel behaviour research: recent advances, challenges and opportunities in the era of smart cities |
| title_sort | chapter 11 data for travel behaviour research recent advances challenges and opportunities in the era of smart cities |
| topic | Big data; Ict; Emerging data; Future transport; Smart cities; Travel behaviour RPT |
| topic_facet | Big data; Ict; Emerging data; Future transport; Smart cities; Travel behaviour RPT |
| url | https://directory.doabooks.org/handle/20.500.12854/136590 |
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