scholarly journals A new toolkit for land value analysis and scenario planning

2020 ◽  
Vol 47 (8) ◽  
pp. 1490-1507 ◽  
Author(s):  
Chris Pettit ◽  
Y Shi ◽  
H Han ◽  
M Rittenbruch ◽  
M Foth ◽  
...  
Keyword(s):  
Support System ◽  
Smart Cities ◽  
Scenario Planning ◽  
Hedonic Pricing ◽  
Least Square ◽  
Research Approach ◽  
Land Value ◽  
Value Analysis ◽  
Planning Support ◽  
Planning Support System

In the digital era of big data, data analytics and smart cities, a new generation of planning support systems is emerging. The Rapid Analytics Interactive Scenario Explorer is a novel planning support system developed to help planners and policy-makers determine the likely land value uplift associated with the provision of new city infrastructure. The Rapid Analytics Interactive Scenario Explorer toolkit was developed following a user-centred research approach including iterative design, prototyping and evaluation. Tool development was informed by user inputs obtained through a series of co-design workshops with two end-user groups: land valuers and urban planners. The paper outlines the underlying technical architecture of the toolkit, which has the ability to perform rapid calculations and visualise the results, for the end-users, through an online mapping interface. The toolkit incorporates an ensemble of hedonic pricing models to calculate and visualise value uplift and so enable the user to explore what if? scenarios. The toolkit has been validated through an iterative case study approach. Use cases were related to two policy areas: property and land valuation processes (for land taxation purposes) and value uplift scenarios (for value capture purposes). The cases tested were in Western Sydney, Australia. The paper reports on the results of the ordinary least square linear regressions – used to explore the impacts of hedonic attributes on property value at the global level – and geographically weighted regressions – developed to provide local estimates and explore the varying spatial relationships between attributes and house price across the study area. Building upon the hedonic modelling, the paper also reports the value uplift functionality of the Rapid Analytics Interactive Scenario Explorer toolkit that enables users to drag and drop new train stations and rapidly calculate expected property prices under a range of future transport scenarios. The Rapid Analytics Interactive Scenario Explorer toolkit is believed to be the first of its kind to provide this specific functionality. As it is problem and policy specific, it can be considered an example of the next generation of data-driven planning support system.

scholarly journals Evaluating a Workflow Tool for Simplifying Scenario Planning with the Online WhatIf? Planning Support System

2020 ◽  
Vol 9 (12) ◽  
pp. 706
Author(s):  
Muhammad Qadeer ul Hussnain ◽  
Abdul Waheed ◽  
Khydija Wakil ◽  
Junaid Abdul Jabbar ◽  
Christopher James Pettit ◽  
...  
Keyword(s):  
User Experience ◽  
Smart Cities ◽  
Scenario Planning ◽  
Data Preparation ◽  
Planning Support Systems ◽  
Time Saving ◽  
Noticeable Increase ◽  
Planning Support ◽  
Planning Support System ◽  
Develop Land

In an era of smart cities and digitalisation, there has been a noticeable increase in the development and application of planning support systems (PSS). However, a significant challenge in the broader adoption of these PSS can be attributed to the user experience, which includes the efforts required in pre-processing data. It has been observed that typically 80% of the PSS usage time goes into pre-processing, cleaning, and loading data—a significant barrier for new users. This research focuses on improving user experience by developing and evaluating a new workflow tool called EasyUAZ. This workflow tool directly supports the iterative data preparation needs of scenario planning with the Online WhatIf?—a widely used PSS to develop land-use suitability, demand and land-allocation scenarios. A comparative evaluation has been conducted to quantify the time taken for data preparation with ArcGIS, QGIS, and the EasyUAZ. The study found that EasyUAZ offers a time saving of 30%–35% when compared with other options.

Lessons for developing a planning support system infrastructure: The case of Southern California's Scenario Planning Model

2017 ◽  
Vol 46 (4) ◽  
pp. 777-796 ◽  
Author(s):  
Robert Goodspeed ◽  
Cassie Hackel
Keyword(s):  
Support System ◽  
Participatory Design ◽  
Development Process ◽  
New Technologies ◽  
Support Systems ◽  
Scenario Planning ◽  
Planning Model ◽  
Planning Support Systems ◽  
Planning Support ◽  
Planning Support System

Although planning support systems are being more widely adopted by professional planners, there are very few examples of planning support system infrastructures designed to support planning practices on an ongoing basis. This paper reports the result of an exploratory qualitative study of the Southern California Association of Governments' Scenario Planning Model, an innovative new planning support system infrastructure. Interviews with professionals who served as participants in a two-year development process were conducted to explore the six dimensions that theories from the planning support systems, innovation diffusion, and organizational information technology fields suggest are important to understanding the adoption and use of a planning support system infrastructure: user considerations, perceived benefits, technical details, the development process, jurisdiction characteristics, and planning style. Drawing on these interviews, the article proposes seven lessons for the creation of planning support system infrastructures: utilize participatory design, support a variety of planning practices, address indirect costs to users, encourage collaboration among multiple users within each organization, ensure that all stakeholders have appropriate access, be mindful of the framing of new technologies, and embrace their transformational potential. Although the Scenario Planning Model has benefited from California's unique planning mandates, advances in web-based geospatial technologies mean that many regions may draw on these lessons to create similar planning support system infrastructures, which have the potential to improve local and regional planning practices through enhanced information, analysis, and communication.

Development of a flow-based planning support system based on open data for the City of Atlanta

2017 ◽  
Vol 46 (2) ◽  
pp. 207-224
Author(s):  
Ge Zhang ◽  
Wenwen Zhang ◽  
Subhrajit Guhathakurta ◽  
Nisha Botchwey
Keyword(s):  
Support System ◽  
Open Data ◽  
Community Planning ◽  
Relevant Information ◽  
Easy Access ◽  
Data Movement ◽  
Planning Support ◽  
Planning Support System ◽  
Analytical Tools ◽  
The City

Open data have come of age with many cities, states, and other jurisdictions joining the open data movement by offering relevant information about their communities for free and easy access to the public. Despite the growing volume of open data, their use has been limited in planning scholarship and practice. The bottleneck is often the format in which the data are available and the organization of such data, which may be difficult to incorporate in existing analytical tools. The overall goal of this research is to develop an open data-based community planning support system that can collect related open data, analyze the data for specific objectives, and visualize the results to improve usability. To accomplish this goal, this study undertakes three research tasks. First, it describes the current state of open data analysis efforts in the community planning field. Second, it examines the challenges analysts experience when using open data in planning analysis. Third, it develops a new flow-based planning support system for examining neighborhood quality of life and health for the City of Atlanta as a prototype, which addresses many of these open data challenges.

scholarly journals Development of Planning Support System for Urban Rehabilitation and Reconstruction

2008 ◽  
Vol 3 (6) ◽  
pp. 422-428 ◽  
Author(s):  
Takaaki Kato ◽  
◽  
Itsuki Nakabayashi ◽  
Taro Ichiko ◽  
Keyword(s):  
Urban Planning ◽  
Training Program ◽  
Support System ◽  
Disaster Recovery ◽  
Planning Process ◽  
Recovery Process ◽  
Disaster Planning ◽  
Planning Support ◽  
Planning Support System ◽  
Post Disaster

The past post-disaster recovery process had many difficulties in planning. The importance of residents participatory urban planning is true of post-disaster planning and ordinary planning; however, there are difficult problems as follows: time-scale conflict between desire of affected households for swift recovery of their individual lives and enough consideration of urban planning to avoid speed-before-quality planning, unsmooth discussion and consensus building because of mutual conflict of their interest in the residents, and a shortage of professionals in the case that an earthquake disaster hits wide and high-density urbanized region. The concept of "pre-disaster planning" has been propounded as measures to deal with these serious situations after 1995 Hyogo-ken Nambu Earthquake in Japan. Actual measures including "neighborhood community-training program for post-disaster recovery" of Tokyo Metropolitan have been implemented in various approaches. This study has pioneering approach in this context. We focus on planning support technologies based on a geographic information system (GIS) and establish planning support system for post-disaster community-based urban planning, which will smooth discussion and increase efficiency of planning work. An introduction of the system will result in reduction of total time needed on the planning process and supplement of professionals. Though there are some problems that we identified, they will be solved in accumulated experiences such as the training program in the near future.

The Online What if? Planning Support System

2013 ◽  
pp. 349-362 ◽  
Author(s):  
Christopher J. Pettit ◽  
Richard E. Klosterman ◽  
Marcos Nino-Ruiz ◽  
Ivo Widjaja ◽  
Patrizia Russo ◽  
...  
Keyword(s):  
Support System ◽  
Planning Support ◽  
Planning Support System
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