Abstract
Car-pooling is one of the solutions for the traffic problems in Greater Cairo Region (GCR). It leads to increase the average occupancy of autos, and consequently reduce the traffic volumes on GCR roads. Car-pooling implementation within organizations is expected to be more effective compared to car-pooling with non-work colleagues. The main objective of this research is to understand the factors affecting car-pooling deployment more deeply and how to maximize its share. A Stated-Preference Survey (SPS) has been conducted within the Faculty of Engineering at AinShams University (FOE-ASU) with a sample size of 1071 commuters. SPS data were used in calibrating different binary discrete choice logit models in order to estimate the share of car-pooling mode compared with current transport mode (public transport/private cars). This paper concluded that applying car-pooling within organizations in GCR as FOE-ASU is expected to be successful, in case of considering the factors affecting car-pooling service.
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Abdel-Latif, H., Elaraby, K., Alsobky, A., Mohamed, A. (2018). Car-Pooling Attractiveness Modeling in Greater Cairo Organizations – A Case Study. In: Kováčiková, T., Buzna, Ľ., Pourhashem, G., Lugano, G., Cornet, Y., Lugano, N. (eds) Intelligent Transport Systems – From Research and Development to the Market Uptake. INTSYS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 222. Springer, Cham. https://doi.org/10.1007/978-3-319-93710-6_3
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