Abstract
Grave-sweeping is a popular special event in Asia, especially in Chinese societies, in which families visit columbaria to express filial piety to their ancestors. The extraordinarily high travel demands usually associated with visiting columbaria during a relative short period around the grave-sweeping festivals severely affect the local traffic. To design and plan adequate transport facilities and services to cater to the travel needs of these families, modeling of their travel demand is a prerequisite procedure. This paper develops and calibrates a non-linear regression model for trip attraction and a joint logit model for trip distribution and modal split using data from headcount and revealed preference surveys collected at selected columbaria during the Ching Ming Festivals of 2013 and 2014. This paper also discusses policy insights gained from the model results that can be applied to the planning of transport facilities and the provision of feeder services to mitigate local congestion during the festivals.
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