Analysis of interaction among land use, transportation network and air pollution using stochastic nonlinear programming

Shahraki, Narges; Türkay, Metin

doi:10.1007/s13762-014-0566-3

Cited by 9 publications

(7 citation statements)

References 40 publications

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“…Globalization together with population growth has increased the demand for various resources, mostly derived from land, to support socio-economic development. This is causing drastic land use/cover (LUC) changes across the world (Carpio & Fath, 2011;Güneralp & Seto, 2008;Liu, Huang, Yang, & Zhong, 2014;Seto, 2011). The resulting adverse environmental impact inevitably influences human habitat as well as human health (Chester, Nahlik, Fraser, Kimball, & Garikapati, 2013;Shahraki & Turkay, 2014;Wang, 2012), thus challenging the sustainability of human society.…”

Section: Introductionmentioning

confidence: 99%

A worst-case scenario based methodology to assess the environmental impact of land use planning

Chen

Yang

et al. 2017

Habitat International

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The implementation of inappropriate land use planning has negative impact on environmental quality, threatens food, health and residential security, and can even lead to regional environmental disaster. In this paper, a worst-case scenario based methodology using the land use environmental tolerance index (LETI) was proposed to assess the impact of land use planning on the environment. The land use planning environmental impact assessment (LUPEA) of Lianyungang City was performed as a case study to demonstrate the novel methodology. The inappropriate land use planning of the study area was spatially identified, and adjustments for the land use planning scheme to minimize the adverse impacts were accordingly recommended. Results show that the land use planning layout of the study area is fundamentally rational as most of the planned production and living land parcels are located outside the worst-case scenario areas, but the small fraction of the parcels in the worst-case scenario areas indicates a need for an improved land use planning scheme. This methodology provides a new perspective to evaluate the impact of land use planning on the environment, especially for densely populated countries which still suffer food, health and residential security issues and thus require much attention to environmental safety.

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Section: Introductionmentioning

confidence: 99%

A worst-case scenario based methodology to assess the environmental impact of land use planning

Chen

Yang

et al. 2017

Habitat International

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“…Among these studies, the most common transport mode was rail system [38,59,65,85,88,91,181], followed by cars [37,45,50,121]. There were two multimodal studies [97,151] and one that analysed walking [177].…”

Section: ) Urban Planning and Land Usementioning

confidence: 99%

“…There were two multimodal studies [97,151] and one that analysed walking [177]. Authors who have worked with land use allocation have focused on determining the type of use of a given urban land parcel [37,38,50,59,85,88,97,121,177,181], and the densities of these parcels [38,59,85,88,97]; Hammad et al [37] also considered the expansion of the road network, and Shahraki and Turkay [121] included other transportation decision variables (average demand, route choice, average flow and capacity expansion of each network link). Other decision variables include determining the location of rail stations [65], analysing scale independence in jobs-housing and commute efficiency metrics [151], designing a sustainable urban land use and transportation system [45] and a land use and transportation development plan [91].…”

Section: ) Urban Planning and Land Usementioning

confidence: 99%

“…The studies were more interconnected than the studies in the previous subsections in terms of perspectives of passengers, operators and community. There were similar ob-jective functions to those subsections, such as: minimising travel costs [85,88,91,151], travel times [37,50], and the total walking distance from station to destinations [97]; minimising the total system travel time by land use allocation and path travel times [50]; maximising accessibility [65], ridership [59,65,85,88,91,97,181], and net suitability [177]; minimising the flow pattern (in stochastic location and route choice equilibrium) and maximising a robust risk averse function [45]; maximising reliability probability and utility, minimising CO emission and maximising utility value [121]. However, as already mentioned, most of the studies considered interconnected passengers', operators', and the community's interests.…”

Section: ) Urban Planning and Land Usementioning

confidence: 99%

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A Comprehensive Survey and Future Directions on Optimising Sustainable Urban Mobility

Borchers,

Wittowsky,

Augusto Souza Fernandes

2024

IEEE Access

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Climate change is currently the biggest environmental threat, being the cities responsible for a significant impact on greenhouse gas emissions. In this sense, the transport sector is among the main causes for both emissions and the depletion of non-renewable resources. Considering this scenario, there is an appeal to build more accessible, smart, sustainable and energy-efficient cities, promoting energy transition in urban systems and increasing the quality of urban life. This review aims to analyse transport and urban mobility studies that employ optimisation techniques to achieve environmental, sustainability or climate change mitigation goals. After an overview regarding modelling aspects of how such goals were addressed, the nature of the objective functions, the perspectives considered, and the network application, such studies were classified into five areas and further detailed. The areas comprise: (i) planning and policy-making; (ii) environmental variables; (iii) demand and traffic management; (iv) technology and energy; and (v) nonspatial measures. In this sense, future research directions should include optimisation models that consider the social aspects of transport and the interests of passengers, operators and the community simultaneously, improve the modelling of environmental impacts to increase its robustness, and deal with large network problems.INDEX TERMS Climate change, Greenhouse gas (GHG) emissions, Optimisation, Passenger urban transport, Sustainable mobility.

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“…Those activities directly related to land use include agriculture and urbanization, which have intensified changes in environmental quality on both regional and global scales [1]. Some land-use types are generally accompanied by pollutant emissions into water, soil, and the atmosphere, hence degrading the environmental quality [2,3] and even threatening human health [4,5,6]. Predicting the spatial variability of these airborne pollutants has, therefore, become an essential component of the assessment of the land-use impact on the environment.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impact of Land-Use Planning on the Atmospheric Environment through Predicting the Spatial Variability of Airborne Pollutants

Chen

Yang

et al. 2019

IJERPH

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As an important contributor to pollutant emissions to the atmosphere, land use can degrade environmental quality. In order to assess the impact of land-use planning on the atmosphere, we propose a methodology combining the land-use-based emission inventories of airborne pollutants and the long-term air pollution multi-source dispersion (LAPMD) model in this study. Through a case study of the eastern Chinese city of Lianyungang, we conclude that (1) land-use-based emission inventorying is a more economical way to assess the overall pollutant emissions compared with the industry-based method, and the LAPMD model can map the spatial variability of airborne pollutant concentrations that directly reflects how the implementation of the land-use planning (LUP) scheme impacts on the atmosphere; (2) the environmental friendliness of the LUP scheme can be assessed by an overlay analysis based on the pollution concentration maps and land-use planning maps; (3) decreases in the emissions of SO2 and PM10 within Lianyungang indicate the overall positive impact of land-use planning implementation, while increases in these emissions from certain land-use types (i.e., urban residential and transportation lands) suggest the aggravation of airborne pollutants from these land parcels; and (4) the city center, where most urban population resides, and areas around key plots would be affected by high pollution concentrations. Our methodology is applicable to study areas for which meteorological data are accessible, and is, therefore, useful for decision making if land-use planning schemes specify the objects of airborne pollutant concentration.

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Analysis of interaction among land use, transportation network and air pollution using stochastic nonlinear programming

Cited by 9 publications

References 40 publications

A worst-case scenario based methodology to assess the environmental impact of land use planning

A worst-case scenario based methodology to assess the environmental impact of land use planning

A Comprehensive Survey and Future Directions on Optimising Sustainable Urban Mobility

Assessing the Impact of Land-Use Planning on the Atmospheric Environment through Predicting the Spatial Variability of Airborne Pollutants

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