A strong need exists to increase the knowledge and recognize the values of neighborhood services. This paper makes an attempt to examine the impact of neighborhood services on land values, through analysis based on results obtained from multi linear regression analysis. This case study was done in area of dense urban settlement to check the consequence of neighborhood services through the hedonic pricing model base variables which include the structural, locational, community and neighborhood services. The regression coefficient was checked at (p \ 0.05) level of significance for each variable. The primary data was collect through the questionnaire filling by random sampling and Punjab Urban Gazette was used for the verification of land values in study area. The results found a valuable potential on land and property values of neighborhood services through the regression analysis results express through R (0.926), R 2 (0.856) and coefficient tables to represent the effect of each individual variable on property and land values. Every individual variable play role in defining the values of land and property based upon its utilization such as larger the structure of a property, more the covered area, larger size of a property more the land area higher price. Similarly, for locational factor study in geography, a piece of land adjacent to the road have high land values 50-70% compare to those located at distance. Very less attention has been paid on such issues in the world due to lack of effective urban planning and research on such crucial issues. If empirical studies on such issue has been done, effective way can be obtained for urban planning.

Neighborhood services, property attributes, and their associated amenities have positive impacts on land and property values. This impact is estimated by the hedonic pricing model, which is considered an effective method used in previous studies for such evaluations. The study uses Geographical Information Science by digitizing the point of interest in the study area for spatial modeling of data collection points and multi-linear regression as a statistical analysis of hedonic measurements. The hedonic measurements include the data of structural, locational, environmental, and community attributes of a property at a given time and space at a walkable distance from the neighborhood for measuring proximity. The results of the study are represented through the summary of the regression model, which expresses the impact of every individual variable on the entire value of the property, and the appropriateness of the results is shown by values R, R2, and adjusted R2. The result of the study concluded that property characteristics are varied from location to location, and that is why it is difficult to measure the exact market values, particularly in areas that lack urban planning and heterogeneous data. Research on such burning issues is essential for sustainable urban development.

Landscape and human are the constituents of the natural surroundings in which changing occurred temporally and spatially. The relationship between landscape and environment is not seen by a singular framework or a bare structure. A landscape has different functions and characteristics, when meet specific requirements, then set an ecology in giving context. Every landscape has its own scenario based upon the dimension of human and its kinship with them. Man are the ecosystem managers, the landscape features provide a road map and built human ecology. Development is occurring by landscape change, change of environment and the kinship between human and landscape, study of these phenomena provide us a theoretical framework to assess the man land relationship as is done in this case study. This paper aims to describe how, each individual in a particular environment is participating in change of the landscape. The influence of human is a magnitude of actions upon the landscape and this magnitude shape the local landscape. The paper discussed through a brightness on the dynamics of landscape change in the 21st century due to globalization and modern dimensions and presents us a complex web of human with non-human relationship of ecology, economy and history, which alter the landscape. This paper concluded a reflection of cultural values on physical environment and landscape change to build environment and human ecology.

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The peri-urban landscape is a highly dynamic area between the urban zone and the rural belt. The heterogeneous natural landscape around the cities provides several ecosystem services, but progressive urbanization affects it and results in the loss of biodiversity, greenery, and related benefits. This study attempts to quantify the social amenities associated with ecosystem services in the peri-urban landscape of the Gujrat district, in Pakistan, by using the Contingent Valuation Method (CVM) The results show that the peri-urban landscape provides amenities for the well-being of the community. Such amenities and the related recreational opportunities represent ecosystem services that are highly regarded by the residents, so much so that a significant willingness to pay can be associated with them. Therefore, this study highlights that natural areas and green areas’ landscapes must be taken into account when facing the social and economic necessity to provide for city expansion in developing countries, especially when aiming to achieve development in alignment with the Sustainable Development Goals. The ecosystem services and their evaluation are confirmed as indispensable tools for conservation and fortification of landscape development.