Integrated Land-Use and Transportation Modelling in Developing Countries: Using Opentripplanner to Determine Lowest-Cost Commute Trips

Waldeck, L; Heerden, Quintin Van

doi:10.2495/978-1-78466-233-2/003

Cited by 2 publications

(4 citation statements)

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“…Lastly, it is important to note that ranked by GDP per capita (expressed in USD), South Africa occupies position 31 of 126 developing countries (Developing Countries Population, 2019). With a GDP per capita of about $6 600 compared to $40 000 to $80 000 for USA/Europe, South Africa is relatively poor with roughly 65% of the population considered to have a low income (Waldeck & van Heerden, 2017). This is the primary cause for the existence of informal settlements and has several implications for modelling residential and employment location choices as well as transportation mode choices.…”

Section: Contextmentioning

confidence: 99%

“…The transport model used with UrbanSim-SA is described in detail in Waldeck & van Heerden (2017).…”

Section: Transport Modelmentioning

confidence: 99%

“…For this paper we only provide a short summary of how an adapted version of OpenTripPlanner (OTP) can be used to calculate the lowest monetary cost of commuting between pairs of origin-destination zones for any of the available modes of transport during the morning peak. Readers interested in the rationale behind using monetary cost and distance variables as proxies for generalized cost variables (which depend on the value of time and congested state of the network) are referred to section 4.3 of Waldeck & van Heerden (2017).…”

Section: Transport Modelmentioning

confidence: 99%

“…Private vehicle usage (also referred to as the drive alone option) was included by means of a fixed, perkilometer cost, based on rates published by the Automobile Association. The calculations are described in Waldeck & van Heerden (2017).…”

Section: 24mentioning

confidence: 99%

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Integrated land use and transportation modelling and planning: A South African journey

Waldeck¹,

Heerden²,

Holloway³

2020

JTLU

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Confronted by poverty, income disparities and mounting demands for basic services such as clean water, sanitation and health care, urban planners in developing countries like South Africa, face daunting challenges. This paper explores the role of Integrated land use and transportation modelling in metropolitan planning processes aimed at improving the spatial efficiency of urban form and ensuring that public sector investments in social and economic infrastructure contribute to economic growth and the reduction of persistent poverty and inequality. The value of such models is not in accurately predicting the future but in providing participants in the (often adversarial) planning process with a better understanding of cause and effect between different components of the urban system and in discovering common ground that could lead to compromise. This paper describes how an Urban Simulation Model was developed by adapting one of the leading microsimulation models (UrbanSim) originating from the developed world to South African conditions and how the requirements for microscopic data about the base year of a simulation were satisfied in a sparse data environment by introducing various typologies. A sample of results from three case studies in the cities of Tshwane, Ekurhuleni and Nelson Mandela Bay between 2013 and 2017 are then presented to illustrate how modelling supports the planning process by adding elements of rational analysis and hypothesis testing to the evaluation of proposed policies.

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Section: Contextmentioning

confidence: 99%

“…The transport model used with UrbanSim-SA is described in detail in Waldeck & van Heerden (2017).…”

Section: Transport Modelmentioning

confidence: 99%

Section: Transport Modelmentioning

confidence: 99%

Section: 24mentioning

confidence: 99%

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