CENCIMM: A software package for the evaluation of parking systems in central areas. Urban planning is again concentrating on the Central City. Tools are required to analyse, at a network level, the implications of transport management options for the major travel modes and types and to assess transport-related impacts of alternative development scenarios for the Central City. The development of the ’CENtral City Movement Model’ (CENCIMM) package is a timely and logical research project aimed at providing a detailed planning and system-design tool for use in evaluating the needs for and operation of urban parking systems. The CENCIMM development has focussed on modelling traffic within the Perth Central Business District, and the support of the Western Australian Department of Transport (WADoT) has been instrumental in the conduct of the research. The CENCIMM software package comprises a suite of models to aid in the investigation of parking in central city areas. It is a practical tool that can be used to plan road networks and evaluate parking, traffic management and public transport policies in the CBD. CENCIMM focuses on the central-area road and parking-lot network, and cannot by itself tackle all parking problems or issues. It needs to be operated in conjunction with other tools, eg, to collect information on travel demand from an urban-wide model (eg, SPECTRUM for Perth) and pass information down to detailed design model (eg, PARKSIM). The reverse linkages are also necessary. The urban-wide impacts of central-city parking strategies cannot be assessed by CENCIMM alone, and travel performance information from the central area needs to be sent to the urban-wide model where its implications for metropolitan travel patterns may be studied. This paper provides an introduction to CENCIMM and its application in Perth, including the linkages with other models (A).
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References in zbMATH (referenced in 2 articles )
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- Guo, Liya; Huang, Shan; Zhuang, Jun; Sadek, Adel W.: Modeling parking behavior under uncertainty: a static game theoretic versus a sequential neo-additive capacity modeling approach (2013)
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