Estimating Freight Transport Activity Using Nighttime Lights Satellite Data in China, India and Saudi Arabia

Lopez-Ruiz, Hector G.; Nezamuddin, N; Hassan, Reema Al; Muhsen, Abdelrahman

doi:10.30573/ks--2019-mp07

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…The first is used to process the satellite radiometry files distributed by NOAA in order to calculate the sum of radiance for each province in Saudi Arabia. We used the same process as described by Lopez-Ruiz (2019). We used the code provided by Alhassan (2019) to expedite the calculation of radiance for all provinces between 1992 and 2017.…”

Section: Datamentioning

confidence: 99%

Estimating Saudi Arabia’s Regional GDP Using Satellite Nighttime Light Images

Lopez-Ruiz¹,

Blázquez²,

Hasanov³

2019

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Section: Datamentioning

confidence: 99%

Estimating Saudi Arabia’s Regional GDP Using Satellite Nighttime Light Images

Lopez-Ruiz¹,

Blázquez²,

Hasanov³

2019

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Smart Transportation Systems in Smart Cities: Practices, Challenges, and Opportunities for Saudi Cities

Anwar,

Oakil

2023

Studies in Energy, Resource and Environmental Economics

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Smart transportation is an approach that incorporates modern technologies into transportation systems to improve the efficiency of urban mobility. Cities worldwide call digital technologies to harness their development to address potential challenges and concerns, which provoke technology-driven practices in urban context. Big data and technologies now offer tools, techniques, and information that can improve how cities function. Consequently, urban process and practices are becoming highly responsive to a form of technology-driven urbanism, that is the key mode of production for smart urban development. This furnishes the prospect of building models of smart sustainable cities performing in real time from routinely available data. This in turn allows to monitor, understand, analyze, and plan such cities to improve their urban efficiency and promotes new urban intelligence functions as an advanced form of decision support. Although technology-driven approach to transport analysis and management is emerging as smart city principle, the application is limited in the Kingdom of Saudi Arabia (KSA). This chapter investigates the potentials and the role of technology-driven solutions in improving and advancing urban transport management in the context of smart cities. It also explores the relevant practices as well as potentials in smart urban development context for Saudi cities. Our approach of technology-driven urban management will envision cities as a complex social and technological ecosystem and build on lessons learned from the research at city level and conceptualizes actors and institutions in a technology-driven urban management for Saudi cities toward achieving liveable smart city.

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Estimating Freight Transport Activity Using Nighttime Lights Satellite Data in China, India and Saudi Arabia

Cited by 2 publications

References 4 publications

Estimating Saudi Arabia’s Regional GDP Using Satellite Nighttime Light Images

Estimating Saudi Arabia’s Regional GDP Using Satellite Nighttime Light Images

Smart Transportation Systems in Smart Cities: Practices, Challenges, and Opportunities for Saudi Cities

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