Effective monitoring is necessary to conserve mangroves from further loss in Malaysia. In this context, remote sensing is capable of providing information on mangrove status and changes over a large spatial extent and in a continuous manner. In this study we used Landsat satellite images to analyze the changes over a period of 25 years of mangrove areas in Iskandar Malaysia (IM), the fastest growing national special economic region located in southern Johor, Malaysia. We tested the use of two widely used digital classification techniques to classify mangrove areas. The Maximum Likelihood Classification (MLC) technique provided significantly higher user, producer and overall accuracies and less “salt and pepper effects” compared to the Support Vector Machine (SVM) technique. The classified satellite images using the MLC technique showed that IM lost 6740 ha of mangrove areas from 1989 to 2014. Nevertheless, a gain of 710 ha of mangroves was observed in this region, resulting in a net loss of 6030 ha or 33%. The loss of about 241 ha per year of mangroves was associated with a steady increase in urban land use (1225 ha per year) from 1989 until 2014. Action is necessary to protect the existing mangrove cover from further loss. Gazetting of the remaining mangrove sites as protected areas or forest reserves and introducing tourism activities in mangrove areas can ensure the continued survival of mangroves in IM.

There are severe issues of public open space (POS) underinvestment and overexploitation. However, few studies have been conducted on the property rights structure and its impacts on rural commons governance, specifically concerning local neighbourhood residential POS quality and sustainability. The social-ecological system framework and the new institutional economics theory were employed to examine the local diverse property rights system and its effects on the emergence of POS dilemmas. Rural commons covering neighbourhood residential Country Lease (CL) and Native Title (NT) POS from the districts of Kota Kinabalu and Penampang, Sabah Malaysia were selected. A mixed-method phenomenological case study, involving multi-stakeholders’ perspectives across public-private-user sectors, was employed. This study revealed four main interconnected property rights issues, including attenuated rights, incomplete rights, maladaptive rights, and security-based de facto perceptive rights, under the complex state-private regime, which incentivise the opportunistic behaviour of individuals in externalising POS commons dilemmas. The findings further inferred that the local diverse property rights issues and POS dilemmas caused, and are associated with, other rights issues and dilemmas, forming a rights-dilemmas nexus. Not only do the institutional failures actuate POS dilemmas, but the former also engender other forms of property rights failures, while the latter cause other POS dilemmas. This paper suggests policy and management insights to public officials, in which the importance of the institutional-social-POS behavioural factor and the re-engineering of POS governance via adaptive property rights realignment are emphasised.

Analyzing population and employment sizes at the local finer geographic scale of transit station areas offers valuable insights for cities in terms of developing better decision-making skills to support transit-oriented development. Commonly, the station area population and employment have been derived from census tract or even block data. Unfortunately, such detailed census data are hardly available and difficult to access in cities of developing countries. To address this problem, this paper explores an alternative technique in remote estimation of population and employment by using building floor space derived from an official administrative geographic information system (GIS) dataset. Based on the assumption that building floor space is a proxy to a number of residents and workers, we investigate to what extent they can be used for estimating the station area population and employment. To assess the model, we employ five station areas with heterogeneous environments in Tokyo as our empirical case study. The estimated population and employment are validated with the actual population and employment as reported in the census. The results indicate that building floor space, together with the city level aggregate information of building morphology, the density coefficient, demographic attributes, and real estate statistics, are able to generate a reasonable estimation.

CASBEE-City tool determines the city’s Built Environment Efficiency (BEE) by calculating the improvement of Quality of Life (Q) over human activities’ Environmental Load (L) within the city’s hypothetical boundary. A total of 58 variables (57 Q indicators and one variable for L) are used in the worldwide version of CASBEE-City which were grounded using ISO 37120:2014 Sustainable Development of Communities and 17 Sustainable Development Goals (SDGs) by the United Nations (UN). This paper examines the application of CASBEE-City for Malaysian cities using the case of Johor Bahru City and identifies assessment indicators which are customised based on the data availability, reliability and suitability through focus group discussions (FGDs) which involved 36 respondents (researchers, urban planners and stakeholders). This paper reveals Johor Bahru with moderate score B+ in 2010 and 2025. Consensus were also achieved from the 36 FGD respondents for the practicability and future potential of CASBEE-City and BEE framework in Johor Bahru.