Chapter
Aug 12, 2020
Car Park-and-Ride Locations Based on a Spatial Optimisation Algorithm
Publication: CICTP 2020
ABSTRACT
Numerous railways are built in China’s big cities. To improve the attractiveness of rail transit, many Park-and-Rides (P+R) have been developed. The optimisation of P+R is a problem to solve; therefore, the P+R attraction scope and car connection distance are researched first in this text. Following this, the interactions of adjacent P+Rs are analysed. Based on the maximum coverage principle, the site selection method was chosen. In terms of the background of Shanghai’s P+Rs, P+R location methods are researched using the rasterising matrix calculation method and the simulated annealing algorithm. The site selection results are compared with Shanghai’s actual case. The results show that the site selection method can have a useful effect and have good practicability and extensibility.
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Published In
CICTP 2020
Pages: 3470 - 3481
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© 2020 American Society of Civil Engineers.
History
Published online: Aug 12, 2020
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1College of Architecture and Urban Planning, Tongji Univ., No. 1239 Siping Rd., Shanghai 200092, China. Email: [email protected]
2College of Architecture and Urban Planning, Tongji Univ., No. 1239 Siping Rd., Shanghai 200092, China. Email: [email protected]
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.