Agglomeration, productivity and the role of transport system improvements

Börjesson, Maria; Isacsson, Gunnar; Andersson, Matts; Anderstig, Christer

doi:10.1016/j.ecotra.2018.12.002

Cited by 25 publications

(16 citation statements)

References 80 publications

(78 reference statements)

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“…In the aspect of land use development, it is well known that urban mass transit, such as light rail, Bus Rapid Transit (BRT), and metro, will increase the value of land use along the transit line [36,37]. Some researchers focus on the commercial investment based on the location of metro stations and land use [38][39][40][41]. Jian [42] studied the relationship of land use and metro passenger flow within a 500 m radius around the metro station in Osaka, Japan, and found that urban commercial building tends to be more dense when its location is closer to the metro station.…”

Section: Of 23mentioning

confidence: 99%

Passenger Flow Prediction Based on Land Use around Metro Stations: A Case Study

Lin

Wang

et al. 2020

Sustainability

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High-density land uses cause high-intensity traffic demand. Metro as an urban mass transit mode is considered as a sustainable strategy to balance the urban high-density land uses development and the high-intensity traffic demand. However, the capacity of the metro cannot always meet the traffic demand during rush hours. It calls for traffic agents to reinforce the operation and management standard to improve the service level. Passenger flow prediction is the foremost and pivotal technology in improving the management standard and service level of metro. It is an important technological means in ensuring sustainable and steady development of urban transportation. This paper uses mathematical and neural network modeling methods to predict metro passenger flow based on the land uses around the metro stations, along with considering the spatial correlation of metro stations within the metro line and the temporal correlation of time series in passenger flow prediction. It aims to provide a feasible solution to predict the passenger flow based on land uses around the metro stations and then potentially improving the understanding of the land uses around the metro station impact on the metro passenger flow, and exploring the potential association between the land uses and the metro passenger flow. Based on the data source from metro line 2 in Qingdao, China, the perdition results show the proposed methods have a good accuracy, with Mean Absolute Percentage Errors (MAPEs) of 11.6%, 3.24%, and 3.86 corresponding to the metro line prediction model with Categorical Regression (CATREG), single metro station prediction model with Artificial Neural Network (ANN), and single metro station prediction model with Long Short-Term Memory (LSTM), respectively.

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Section: Of 23mentioning

confidence: 99%

Passenger Flow Prediction Based on Land Use around Metro Stations: A Case Study

Lin

Wang

et al. 2020

Sustainability

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“…Also, it seems that transit accessibility to jobs plays a key role toward increasing productivity (not analyzed in this paper). Recent publications suggest there is a positive and strong relationship between transport investment and GDP, and that accessibility is also positive related to wage earnings (Alotaibi, Quddus, & Imprialou, 2019;Börjesson, Isacsson, Andersson, & Anderstig, 2019). This suggests what probably matter most for productivity from a morphological point of view is not the geographical place (distance to center, etc.…”

Section: What We Know So Far About Urban Form (Spatial Structure) Andmentioning

confidence: 99%

Urban Form and Productivity in México 1995-2015

Montejano¹,

Caudillo²,

Monkkonen³

et al. 2020

EJSD

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Worldwide, urban policies are encouraging more compact development in cities arguing environmental sustainability and higher economic productivity. However, there is limited evidence for the relationship between urban form and economic productivity outside high-income countries. While we know that workers in larger cities are more productive, existing empirical evidence on the relationship between compactness and productivity is only from high-income countries, with a productive service sector. Given that the economic base of many cities in Mexico consists of land-intensive manufacturing activities, policies promoting urban compactness have potential negative impacts on economic growth by restraining expansion. In this paper we explore the relationship in time between urban form/spatial structure and economic productivity in Mexico, by testing the hypothesis that growing in a compact way is positively associated with labor productivity. That hypothesis is not completely rejected because several measures of urban form are positively correlated with higher levels of productivity, and other measures are negatively correlated. As the principal findings are counterintuitive, they raise questions about what is the accepted knowledge of urban growth. Keywords: Urban Form; urban structure; productivity; manufacturing; México.

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“…Furthermore, effects differ between countries, time, industries, and modes of transport, explaining the wide range of estimates found in individual studies. Recent analyses accounting for the identified shortfalls fall into a more narrow range of estimates while providing evidence for many parts of the world: Besides others, Barzin, D'Costa, & Graham (2018) identify the impact of Colombian roads, L. Liu & Zhang (2018) study the high speed rail construction in China, and Arbués, Baños, & Mayor (2015) in Spain as well as Börjesson, Isacsson, Andersson, & Anderstig (2019) in Sweden focus on European countries. All authors find positive effects on production output and employment, as do several studies for the German case: The reports by Bertenrath, Thöne, & Walther (2006) and Barabas et al (2010) provide extensive background information as well as estimation results that are close to the findings of the mentioned meta-analyses.…”

Section: Literature Reviewmentioning

confidence: 99%

Economic Effects of Transportation Infrastructure Quantity and Quality: A Study of German Counties

Gaus

Link

2020

SSRN Journal

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In this paper, we analyze the impact of transportation infrastructure quantity and quality on regional economic production. We exploit an extensive panel dataset on the German county level (N=401), expressing the capital value and condition of highways between 2007 and 2016, to estimate a spatially extended translog production function. The spatial specification uses SLX and SDEM models, with various linear and nonlinear variants estimated using FGLS and GMM estimators accounting for endogeneity. We find, in line with existing research, a positive impact of the quantity of transport infrastructure both locally and supra-regionally. We furthermore provide evidence for the claim that insufficient maintenance and low infrastructure conditions significantly slow economic growth through a negative correlation between GDP and the quality grade of highways. A more detailed analysis, distinguishing different types of highways and constructions, confirms these findings and underlines the importance of the Bundesstraßen network as compared to the Autobahn system. The estimated impact of the quality of bridges is rather ambiguous and requires further research to achieve a better understanding.

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Agglomeration, productivity and the role of transport system improvements

Cited by 25 publications

References 80 publications

Passenger Flow Prediction Based on Land Use around Metro Stations: A Case Study

Passenger Flow Prediction Based on Land Use around Metro Stations: A Case Study

Urban Form and Productivity in México 1995-2015

Economic Effects of Transportation Infrastructure Quantity and Quality: A Study of German Counties

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