Planning of a comprehensive transportation system in Ma’anshan based on mobile phone signaling data

Xiaofeng Lou and Changhai Peng ()
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Xiaofeng Lou: Southeast University
Changhai Peng: Southeast University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2022, vol. 24, issue 7, No 17, 9380-9406

Abstract: Abstract Integrated transportation system planning is forward-looking and oriented to the future development of transportation. It is an important issue for special planning in terms of current land and spatial planning, and all community sectors recognize its importance. The continuous development of big data technology in recent years has brought a great deal of transformative power to urban traffic planning theory and technology. Using mobile phone signaling data (MPSD) to analyze and calculate traffic data information is a new technology in wide-area dynamic traffic detection. This paper uses MPSD to extract traffic contact characteristic data, commuter contact characteristic data, and thermal population data to analyze the traffic characteristics of Ma’anshan’s metropolitan clusters, suburbs, and city areas. We identify its co-urban connection characteristics with neighboring cities and the strong southern river corridor of the metropolis, the characteristics of the connection, and the centripetal connection of the central city. According to the problems existing in Ma’anshan’s facility configuration and traffic model, we propose corresponding countermeasures: building a multilevel integrated transportation system in the same city at the metropolitan cluster regional level; forming a centrally radiating multiple-transit network to support the development of the urban spatial pattern at the suburban level; and forming public transportation leadership and road support to optimize the urban transportation network at the city level.

Keywords: Mobile phone signaling data; Comprehensive traffic planning; Spatial land planning (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10668-021-01829-8

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