Express Delivery to the Suburbs: The Effects of Transportation in Europe's Heterogeneous Cities

García-López, Miquel-Àngel; Pasidis, Ilias; Marsal, Elisabet Viladecans

doi:10.2139/ssrn.2686252

Cited by 81 publications

(5 citation statements)

References 52 publications

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“…On the contrary, they are endogenous to employment and/or population growth: planners may decide to improve the connection of deprived areas in order to boost their economic activity or attract population, or they may on the contrary connect areas that are expected to grow, anticipating on future needs for transportation. Following recent literature (Duranton & Turner, ; Garcia‐López, ; Garcia‐López, Pasidis, & Viladecans‐Marsal, ), we rely on historical railways and roads to instrument the location of modern transportation infrastructures in the Paris metropolitan area. More precisely, we use Roman roads and the 1870 railroads as alternative instrumental variables.…”

Section: Urban Spatial Structure and Transportation In The Paris Metrmentioning

confidence: 99%

“…Our study is also related to recent empirical studies that have examined other aspects of transportation infrastructure. Sharing our intrametropolitan approach, some papers focus on the effect of rail or road transportation on the suburbanization process, both in the United States (Baum‐Snow, ) and in Europe (Garcia‐López, Holl, & Viladecans‐Marsal, ; Garcia‐López, Pasidis, & Viladecans‐Marsal, ), while other studies, conducted at the county level, consider alternative outcomes, such as workers' earnings (Michaels, ) or employment growth (Jiwattanakulpaisarn, Noland, Graham, & Polak, ). Duranton and Turner () and Hsu and Zhang () provide intermetropolitan evidence for the effect of highway improvements on congestion in the United States and Japan, respectively.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

How does transportation shape intrametropolitan growth? An answer from the Regional Express Rail

García-López

Hémet

Viladecans‐Marsal

2017

Journal of Regional Science

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International audienceThis paper analyzes the influence of transportation infrastructure, and in particular of the Regional Express Rail (RER), on employment and population growth in the Paris metropolitan area between 1968 and 2010. In order to make proper causal inference, we rely on historical instruments and control for all other transportation modes that could be complement or substitute to the RER. Our results show that proximity to an RER station increases employment and population density and, in particular, employment and population growth. The latter effects are higher in municipalities located near RER stations and close to employment (sub)centers. They are also found to be particularly strong for jobs in the service sector, for factory workers, and for highly educated population. We find no impact of the RER expansion on employment growth during the first part of the period, while the effect on population growth appears earlier but declines over time

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Section: Urban Spatial Structure and Transportation In The Paris Metrmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How does transportation shape intrametropolitan growth? An answer from the Regional Express Rail

García-López

Hémet

Viladecans‐Marsal

2017

Journal of Regional Science

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“…The transportation sector plays an essential role in humanity's activities and affects the global economy. For example, the transportation of people and goods provides people with mobility, sustainable daily lives, local and international merchandise trade, and economic development [4][5][6][7]. However, most activities in the transportation sector are fueled by fossil-based energy sources, which are not renewable [8].…”

Section: Introductionmentioning

confidence: 99%

Exploring Patterns of Transportation-Related CO2 Emissions Using Machine Learning Methods

Ren

2022

Sustainability

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While the transportation sector is one of largest economic growth drivers for many countries, the adverse impacts of transportation on air quality are also well-noted, especially in developing countries. Carbon dioxide (CO2) emissions are one of the direct results of a transportation sector powered by burning fossil-based fuels. Detailed knowledge of CO2 emissions produced by the transportation sectors in various countries is essential for these countries to revise their future energy investments and policies. In this framework, three machine learning algorithms, ordinary least squares regression (OLS), support vector machine (SVM), and gradient boosting regression (GBR), are used to forecast transportation-based CO2 emissions. Both socioeconomic factors and transportation factors are also included as features in the study. We study the top 30 CO2 emissions-producing countries, including the Tier 1 group (the top five countries, accounting for 61% of global CO2 emissions production) and the Tier 2 group (the next 25 countries, accounting for 35% of total CO2 emissions production). We evaluate our model using four-fold cross-validation and report four frequently used statistical metrics (R2, MAE, rRMSE, and MAPE). Of the three machine learning algorithms, the GBR model with features combining socioeconomic and transportation factors (GBR_ALL) has the best performance, with an R2 value of 0.9943, rRMSE of 0.1165, and MAPE of 0.1408. We also find that both transportation features and socioeconomic features are important for transportation-based CO2 emission prediction. Transportation features are more important in modeling for 30 countries, while socioeconomic features (especially GDP and population) are more important when modeling for Tier 1 and Tier 2 countries.

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“…Radial and ring road construction reduces urban density (World Bank, 2003). Evidence for the reduction in urban density from highways is provided for the United States by Baum-Snow (2007) and in Europe by Garcia- López, Pasidis andViladecans-Marsal (2015, 2016). Between 1961 and 2011, highway rays displaced about 6% of city population in Europe and railways another 2%.…”

Section: Introductionmentioning

confidence: 99%

“…Market access is not calculated for GDP per capita nor for employment rates.14 The use of historical networks as an instrument for current market access is not uncommon, seeBaum-Snow (2007), Turner (2011, 2012), Garcia-López, Holl and Viladecans-Marsal (2013) and Hsu and Zhang (2014), Garcia-López, Pasidis andViladecans-Marsal (2015, 2016) andBaum-Snow et al (2017).…”

mentioning

confidence: 99%

Roads, market access and regional economic development

2020

OECD Regional Development Papers

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Express Delivery to the Suburbs: The Effects of Transportation in Europe's Heterogeneous Cities

Cited by 81 publications

References 52 publications

How does transportation shape intrametropolitan growth? An answer from the Regional Express Rail

How does transportation shape intrametropolitan growth? An answer from the Regional Express Rail

Exploring Patterns of Transportation-Related CO2 Emissions Using Machine Learning Methods

Roads, market access and regional economic development

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