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Estimating socio-economic value of cycling using opportunity cost methodology

Forson, Eric Kofi (2011) Estimating socio-economic value of cycling using opportunity cost methodology.

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Abstract:Increase in development activities might pose a threat to the environment when it comes to transport. That is growth in development catalyses the shift from cycling to motorised modes of transport, which in turn increases CO2 emissions. Cycling possesses both socio-economic and climate values of cycling hence the need for the development of a methodology to investigate the travel behaviour of cyclists to appreciate the current cycling mobility so as to make an argument for at least maintaining current bicycle shares by preventing the substitution of bicycle trip with an alternative mode of transport. The opportunity cost methodology quantifies the effect of cycling based on the cost and benefit to cyclists when cycling is no more an option to them. In this research stated preferences of current cyclists with respect to their most likely alternative mode and its attributes are used to estimate the first and second order effects for both the study sample and the population. This reveals the socio-economic opportunity value of cycling. Zanzibar is the case study area. The highest average socio-economic value ($ 0.61) per trip was recorded in the ward Kikwajuni Bondeni and the least socio-economic value of $ 0.03 per trip recorded in Matarunbeta. The ward Mpendae recorded the highest socio-economic value of $ 112.92 per day for the population and $0.79 per day for the ward Vikokotoni. Finally, the socio-economic value was seen to relate directly to the climate value (parallel research) hence two situations aroused; (i) Low socio-economic value and low climate value implies that cyclists are likely to shift to alternative mode of transport but low implications to climate. (ii) High socio-economic value and high climate value also implies that potential shift to alternative mode transport is low but high implications to climate. In terms of opportunities, 5 minutes network buffer was created by using different travel speed of the modes. It showed that motorcycle had the largest coverage with 504 opportunities, car covered 196 opportunities, bus covered 161 opportunities, walking covered 121 opportunities and bicycle covered 346 opportunities.
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
Link to this item:https://purl.utwente.nl/essays/93320
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