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- Kourtit, Karima, et al.
(författare)
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The urban data deluge : challenges for smart urban planning in the third data revolution
- 2020
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Ingår i: International Journal of Urban Sciences. - : Routledge. - 1226-5934 .- 2161-6779.
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Tidskriftsartikel (refereegranskat)abstract
- Effective urban planning is increasingly affected and governed by the current information society. This paper argues that the so-called third data revolution creates unprecedented challenges for sustainable city policy in the digital age. Three types of data revolutions are distinguished in this paper. The nowadays popular notion of smart cities may be helpful to enhance the cognitive quality of urban policy-making, but leads also to new issues on complex data handling in the modern age of social media and digital information systems. The various issues at stake are outlined in this paper, while this study is concluded with a sketch of the contours of a so-called smart city policy fly-wheel, so as to demonstrate that the urban fabric–also in a smart city context–is always work in progress, with a view to the achievement of sustainable development goals. Highlights The birth of the smart cities concept originates from the third data revolution. Sustainable city policy calls for smart data management. In the ‘New Urban World’ systematic data warehousing is needed. The tension between closed administrative city borders and open data systems can be bridged. The attainment of sustainable development goals (SDGs) presupposes smart city policy.
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| 2. |
- Posada, Marcus, et al.
(författare)
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A metaheuristic for evaluation of an integrated special transport service
- 2020
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Ingår i: INTERNATIONAL JOURNAL OF URBAN SCIENCES. - : ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD. - 1226-5934 .- 2161-6779. ; 24:3, s. 316-338
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Tidskriftsartikel (refereegranskat)abstract
- This work concerns evaluation of integrated demand responsive services, in which certain parts of the passengers door-to-door journeys are served by fixed route public transport. The purpose of combining a special transport service with a fixed route service is to reduce the high, publicly subsidized, operational costs of the special transport service. To be able to recommend in which situations, or areas, it is beneficial to use an integrated service we present a metaheuristic for solving the routing problem in such a service. The metaheuristic can be implemented as part of an evaluation tool for policy makers and officials, providing insights into the effects of an integrated demand responsive service compared to a non-integrated. The metaheuristic is based on the adaptive large neighbourhood search (ALNS) framework. It is applied to a data set from a real-world, rural, demand responsive special transport service and the fixed route service available in the area. The objective used in our heuristic is to minimize the distance driven by the demand responsive vehicles. The distance driven is strongly related to the operational cost of the service. Our tests show that the distance driven by the demand responsive vehicles is reduced by 16%, giving a substantial cost reduction for the special transport service in the given area. Highlights Evaluation of integrated demand responsive service Combining special transport with a fixed route service to reduce operational costs Metaheuristic, based on the adaptive large neighbourhood search (ALNS) framework Comparing integrated service to non-integrated
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