Governing the ‘Golden Age of Infrastructure’: Build, Build, Build Through an Accountability Perspective

Cruz, Jerome Patrick D; Delgra, Carmen Phanuelle; Enriquez, Jose Miguelito; Mendoza, Ronald U

doi:10.2139/ssrn.3300597

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…People usually ask, where to begin? And where can they turn to for practical and inclusive solutions to address the "car-diac arrest" of Metro Manila when political leaders are usually engulfed in rent-seeking interests (McCoy 1994), rampant corruption (Cruz, et. al.…”

Section: Surviving "Car-diac Arrest"mentioning

confidence: 99%

Surviving “Car-diac Arrest”

Gatarin

2022

Cult. Unbound

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The car dominates the imaginary of urban modernity. Such modernity links the car to living the good life, especially for the growing middle class. However, an environmentalist in my research laments that the unprecedented increase in car volume causes the “car-diac arrest” in our cities. A regime of congestion ensues as too many cars clog our cities’ major arteries. Such situation is a daily experience in Metro Manila, the capital of the Philippines. Although only a tiny minority of the Philippine population owns a car, the lives of millions of Filipinos are impacted by the collective loss of mobility. Through interviews with transport reform advocates and participant observation around Metro Manila, I found that the car has become the ultimate private solution to the public problem of the undesirability of cities. The car creates a one-dimensional world in urban mobility, characterised by its intolerance to other modes of transport. Furthermore, as more cars are added to Manila’s roads, state infrastructure projects and policies highly favour car-centric mobility. This is why walking becomes almost impossible, air pollution worsens, and road traffic crashes take many lives each year. But transport reform advocates are taking action for Metro Manila to survive its “car-diac arrest.” Through pushing for policy reforms, road-sharing initiatives, and partnerships with supportive allies in the government and other sectors of society (called “champions”), they enable the flourishing of alternatives. While they do not see themselves as “anti-car”, they campaign for mobility to prioritise moving people and not just cars. Their ongoing initiatives push for the realisation of “dignified commuting” through a safe, efficient and reliable public transport system and for active transport (i.e. walking and cycling) to thrive. Through the co-existence of these diverse modes of transport, they reimagine roads as spaces where many worlds can fit.

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Section: Surviving "Car-diac Arrest"mentioning

confidence: 99%

Surviving “Car-diac Arrest”

Gatarin

2022

Cult. Unbound

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“…The country also started a multi-billion project, namely the "Build, Build, Build." President Duterte initiated the "Build, Build, Build" (BBB) Program, which seeks to accelerate infrastructure spending and develop industries that will yield robust growth, create jobs and improve the lives of Filipinos [7]. In the Philippines, there are 75 flagship projects consist of airports, railways, bus rapid transits, roads and bridges, and seaports that seek to basically mark down the costs of production, improve income in the rural areas, encourage investments in the province, make the movement of goods and people more efficient, and most importantly, create a projected 1.7 million jobs by 2022 [8].…”

Section: Introductionmentioning

confidence: 99%

Sentiments Analysis On Public Land Transport Infrastructure in Davao Region using Machine Learning Algorithms

Buladaco¹

2020

IJATCSE

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Land transport infrastructure has been a vital part of a city. People nowadays use social media to post their sentiments towards developments in a city such as land transport. Government agencies have difficulty in identifying issues that arises from the people using social media towards land transport infrastructure. These social media posts in the form of a text can be analyzed using sentiments analysis, which is a significant task of Natural Language Processing (NLP). This research experimented on creating a model of sentiments on land transport infrastructure in Region XI (Davao Region), the Philippines from the social media website, and test a data set on the accuracy of the model. There are a total of 1,200 text data sets, and it's divided into two: test dataset is 25%, and the training dataset is 75%. The machine learning text classifiers used are Support Vector Machines (SVM), Random Forest (RF) and Multinomial Naïve Bayesian (MNB) to process sentiments analysis of the text data sets. The performance of each classification model is estimated by generating confusion metric with the calculation of precision and recall, the f1-score. The accuracy rating was also computed. A comparison was also conducted based on the results of experiments of the three machine learning classifiers. Based on the resulting experiment, SVM has the highest accuracy, with 76.12% and a f1-score of 71.98%. This research will be utilized as support and notes for policy-making and development for land transport infrastructure in the Davao Region.

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Beating the Traffic: Civil Society Participation in Transport Reforms and Innovations in Metro Manila, Philippines

Gatarin

2023

Advances in 21st Century Human Settlements

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Governing the ‘Golden Age of Infrastructure’: Build, Build, Build Through an Accountability Perspective

Cited by 4 publications

References 5 publications

Surviving “Car-diac Arrest”

Surviving “Car-diac Arrest”

Sentiments Analysis On Public Land Transport Infrastructure in Davao Region using Machine Learning Algorithms

Beating the Traffic: Civil Society Participation in Transport Reforms and Innovations in Metro Manila, Philippines

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