Pasar al contenido principal

page search

Community Organizations MDPI Online, Open Access Journals
MDPI Online, Open Access Journals
MDPI Online, Open Access Journals
Acronym
MDPI
Publishing Company
Phone number
+41 61 683 77 34

Location

St. Alban-Anlage 66
Basel
Basel-Stadt
Switzerland
Working languages
inglés

MDPI AG, a publisher of open-access scientific journals, was spun off from the Molecular Diversity Preservation International organization. It was formally registered by Shu-Kun Lin and Dietrich Rordorf in May 2010 in Basel, Switzerland, and maintains editorial offices in China, Spain and Serbia. MDPI relies primarily on article processing charges to cover the costs of editorial quality control and production of articles. Over 280 universities and institutes have joined the MDPI Institutional Open Access Program; authors from these organizations pay reduced article processing charges. MDPI is a member of the Committee on Publication Ethics, the International Association of Scientific, Technical, and Medical Publishers, and the Open Access Scholarly Publishers Association (OASPA).

Members:

Resources

Displaying 576 - 580 of 1524

Land Use Impacts on Traffic Congestion Patterns: A Tale of a Northwestern Chinese City

Peer-reviewed publication
Diciembre, 2021
China

Traffic congestion is a contemporary urban issue plaguing transportation planners, land developers, policy-makers, and citizens. While many studies have investigated the impact of built environments on traffic behavior in large metropolises on a regional scale, little attention has been paid to smaller urban areas, in China’s context, especially on a neighborhood level. This study investigates the spatial–temporal pattern of traffic congestion in a small-scale city, Xining, in China.

Ambiguous Outcomes of Returnees’ Land Dispute Resolution and Restitution in War-Torn Burundi

Peer-reviewed publication
Diciembre, 2021
Burundi

Redressing land dispossession in the aftermath of violent conflicts is daunting and complex. While land dispute resolution and restitution are expected to promote return migration, this outcome is contingent upon the changing social, economic and political conditions under which return takes place. Drawing on qualitative data from Makamba Province in southern Burundi, this case study highlights the politically and historically shaped challenges underlying the resolution of competing and overlapping claims on land following protracted displacement.

How Can the Risk of Misconduct in Land Expropriation for Tract Development Be Prevented and Mitigated: A Study of “Good Land Governance” Inspection in China

Peer-reviewed publication
Diciembre, 2021
China

In the context of China’s new round of land reform, narrowing the scope of land expropriation, standardising the procedures for land expropriation, and building a unified urban and rural construction land market have become the objectives of land expropriation reform. The new Land Management Law of the People’s Republic of China confirms land expropriation for tract development as a new situation for the land acquisition system.

Collective Action for the Market-Based Reform of Land Element in China: The Role of Trust

Peer-reviewed publication
Diciembre, 2021
China

The market entry of collectively-owned operating construction land (COCL) is an important policy of the Chinese government to promote the flow of rural land elements in the market. Describ-ing, characterizing, and understanding collective action for COCL marketization in China is conducive to identifying potential contradictions in a timely manner, constructing common goals, and promoting stakeholder cooperation to improve the efficiency of land marketization.

Comparison of Random Forest and Kriging Models for Soil Organic Carbon Mapping in the Himalayan Region of Kashmir

Peer-reviewed publication
Diciembre, 2021
India

The knowledge about the spatial distribution of soil organic carbon stock (SOCS) helps in sustainable land-use management and ecosystem functioning. No such study has been attempted in the complex topography and land use of Himalayas, which is associated with great spatial heterogeneity and uncertainties. Therefore, in this study digital soil mapping (DSM) was used to predict and evaluate the spatial distribution of SOCS using advanced geostatistical methods and a machine learning algorithm in the Himalayan region of Jammu and Kashmir, India.