Accessibility of urban park benefits with different spatial coverage: Spatial and social inequity

Economic growth is one indicator to measure the success of economic development in a country. Economic development is closely related to infrastructure. Infrastructure development will have an impact on economic growth both directly and indirectly. Therefore, the role of the government in determining infrastructure development policies is very important to increase economic growth in Indonesia. The purpose of this study is to determine the effect of infrastructure on economic growth in Indonesia including road infrastructure, electricity infrastructure, investment, water infrastructure, education infrastructure and health infrastructure in Indonesia in 2015-2017.The analytical tool used in this study is panel data regression with the approach of Fixed Effect Model. The spatial coverage of this study is all provinces in Indonesia, namely 34 provinces, with a series of data from 2015 to 2017 with a total of 102 observations. The data used is secondary data obtained from BPS Indonesia.The results of the study show that (1) the road infrastructure variables have a negative and not significant effect on GDRP. (2) electrical infrastructure variables have a negative and not significant effect on GDRP. (3) investment variables have a positive and significant effect on GDRP. (4) water infrastructure variables have a positive and not significant effect on GDRP. (5) educational infrastructure variables have a positive and not significant effect on GDRP. (6) health infrastructure variables have a positive and significant effect on GDRP. Keywords: development, infrastructure, investment, GDRP, panel data

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Recreation and Urban Park Planning: Problems and Prospects

Journal of Environmental Systems ◽

10.2190/9u3t-3lum-yu7l-rg52 ◽

1981 ◽

Vol 11 (4) ◽

pp. 315-323 ◽

Cited By ~ 1

Author(s):

Mike Moore ◽

Woodrow Jones

Keyword(s):

Urban Park ◽

Park Planning ◽

Planning Problems

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A near-global, high resolution land surface parameter dataset for the variable infiltration capacity model

Scientific Data ◽

10.1038/s41597-021-00999-4 ◽

2021 ◽

Vol 8 (1) ◽

Author(s):

Jacob R. Schaperow ◽

Dongyue Li ◽

Steven A. Margulis ◽

Dennis P. Lettenmaier

Keyword(s):

Land Surface ◽

Global Scale ◽

Radiation Budget ◽

Soil Parameters ◽

Variable Infiltration Capacity ◽

Infiltration Capacity ◽

Vic Model ◽

Spatial Coverage ◽

Land Surface Parameter ◽

Vegetation Parameters

AbstractHydrologic models predict the spatial and temporal distribution of water and energy at the land surface. Currently, parameter availability limits global-scale hydrologic modelling to very coarse resolution, hindering researchers from resolving fine-scale variability. With the aim of addressing this problem, we present a set of globally consistent soil and vegetation parameters for the Variable Infiltration Capacity (VIC) model at 1/16° resolution (approximately 6 km at the equator), with spatial coverage from 60°S to 85°N. Soil parameters derived from interpolated soil profiles and vegetation parameters estimated from space-based MODIS measurements have been compiled into input files for both the Classic and Image drivers of the VIC model, version 5. Geographical subsetting codes are provided, as well. Our dataset provides all necessary land surface parameters to run the VIC model at regional to global scale. We evaluate VICGlobal’s ability to simulate the water balance in the Upper Colorado River basin and 12 smaller basins in the CONUS, and their ability to simulate the radiation budget at six SURFRAD stations in the CONUS.

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Peaceless doves: predators of two columbid species at an urban park in southeastern Brazil

Revista Brasileira de Ornitologia ◽

10.1007/bf03544379 ◽

2017 ◽

Vol 25 (1) ◽

pp. 67-70

Author(s):

Ivan Sazima ◽

Juliana Vaz Hipolito

Keyword(s):

Southeastern Brazil ◽

Urban Park

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Understanding Visitors at an Urban Park by Profiling of Destination Attributes

Sustainability ◽

10.3390/su13074036 ◽

2021 ◽

Vol 13 (7) ◽

pp. 4036

Author(s):

Jonghyun Baek ◽

Yeeun Kim ◽

Hyun Kim ◽

Hwasung Song

Keyword(s):

Natural Resource Management ◽

Natural Resource ◽

Latent Profile Analysis ◽

Profile Analysis ◽

Urban Park ◽

Tourism Destination ◽

Outdoor Spaces ◽

Tourism Destinations ◽

Ecological Tourism ◽

Study Setting

A park has a variety of attributes, providing beautiful natural scenery and a place to rest as well as a cultural space in which performances and events are held. This study aimed to examine the various destination attributes that a place has, specifically, the resources of an urban park, by profiling visitors according to these destination attributes. The study setting, Gwanggyo Lake Park (GLP), is located in Suwon City and is in the limelight as an eco-friendly leisure and tourism destination in South Korea. As a result of profiling 595 visitors through an application of Latent Profile Analysis (LPA), three types of profiles were obtained: “Relaxation Leisure Seekers (RLS),” “Nature Environment Seekers (NES),” and “Ecological Experience Seekers (EES).” There were differences by type in visiting patterns, environmental propensity, distance from residence, and income. The results allow a better understanding of the various attributes of the park as an ecological tourism destination by visitor profile and profile-specific characteristics. Due to COVID-19, more people are visiting parks, which are natural outdoor spaces. This study provides implications for both theoretical and practical aspects of natural resource management in that it profiles visitors by highlighting parks as both leisure and tourism destinations.

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Tropical cyclones over the western north Pacific since the mid-nineteenth century

Climatic Change ◽

10.1007/s10584-021-02984-7 ◽

2021 ◽

Vol 164 (3-4) ◽

Author(s):

Hisayuki Kubota ◽

Jun Matsumoto ◽

Masumi Zaiki ◽

Togo Tsukahara ◽

Takehiko Mikami ◽

...

Keyword(s):

Nineteenth Century ◽

East China Sea ◽

North Pacific ◽

Western North Pacific ◽

East China ◽

Pressure Data ◽

The East China Sea ◽

China Sea ◽

Spatial Coverage ◽

Landfall Location

AbstractTropical cyclone (TC) activities over the western North Pacific (WNP) and TC landfall in Japan are investigated by collecting historical TC track data and meteorological observation data starting from the mid-nineteenth century. Historical TC track data and TC best track data are merged over the WNP from 1884 to 2018. The quality of historical TC data is not sufficient to count the TC numbers over the WNP due to the lack of spatial coverage and different TC criteria before the 1950s. We focus on TC landfall in Japan using a combination of TC track data and meteorological data observed at weather stations and lighthouses from 1877 to 2019. A unified TC definition is applied to obtain equivalent quality during the whole analysis period. We identify lower annual TC landfall numbers during the 1970s to the 2000s and find other periods have more TC landfall numbers including the nineteenth century. No trend in TC landfall number is detected. TC intensity is estimated by an annual power dissipation index (APDI). High APDI periods are found to be around 1900, in the 1910s, from the 1930s to 1960s, and after the 1990s. When we focus on the period from 1977 to 2019, a significant increasing trend of ADPI is seen, and significant northeastward shift of TC landfall location is detected. On the other hand, TC landfall location shifts northeastward and then southwestward in about 100-year interval. European and US ships sailed through East and Southeast Asian waters before the weather station network was established in the late nineteenth century. Then, we focus on TC events in July 1853 observed by the US Naval Japan Expedition of Perry’s fleet and August 1863 by a UK Navy ship that participated in two wars in Japan. A TC moved slowly westward over the East China Sea south of the Okinawa Islands from 21 to 25 July 1853. Another TC was detected in the East China Sea on 15–16 August 1863 during the bombardment of Kagoshima in southern Japan. Pressure data are evaluated by comparing the observations made by 10 naval ships in Yokohama, central Japan during 1863–1864. The deviation of each ship pressure data from the 10 ships mean is about 2.7–2.8 hPa.

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