Henrikki Tenkanen

Henrikki Tenkanen
Aalto University · Department of Built Environment

PhD

About

48
Publications
28,276
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
2,316
Citations
Citations since 2017
32 Research Items
2215 Citations
20172018201920202021202220230100200300400500600
20172018201920202021202220230100200300400500600
20172018201920202021202220230100200300400500600
20172018201920202021202220230100200300400500600
Introduction
Assistant Professor of Geoinformation Technology at Aalto University. Research interests include studying and developing methods for dynamic accessibility modelling, observing spatial mobilities of people, and understanding the social context associated with places for supporting spatial planning in urban contexts and in relation to nature conservation. Author of https://pythongis.org ; Maintainer of an open course https://autogis.github.io
Additional affiliations
January 2020 - September 2020
University College London
Position
  • Postdoc
January 2019 - December 2019
University College London
Position
  • PostDoc Position
January 2018 - present
University of Helsinki
Position
  • PhD Student

Publications

Publications (48)
Article
Full-text available
Social media data is increasingly used as a proxy for human activity in different environments, including protected areas, where collecting visitor information is often laborious and expensive, but important for management and marketing. Here, we compared data from Instagram, Twitter and Flickr, and assessed systematically how park popularity and t...
Article
Full-text available
The concept of accessibility – the potential of opportunities for interaction – binds together the key physical components of urban structure: people, transport and social activity locations. Most often these components are dynamic in nature and hence the accessibility landscape changes in space and time based on people's mobilities and the tempora...
Article
Full-text available
Improved understanding of human-nature interactions is crucial to conservation science and practice, but collecting relevant data remains challenging. Recently, social media have become an increasingly important source of information on human-nature interactions. However, the use of advanced methods for analysing social media is still limited, and...
Article
Full-text available
Comparable data on spatial accessibility by different travel modes are frequently needed to understand how city regions function. Here, we present a spatial dataset called the Helsinki Region Travel Time Matrix that has been calculated for 2013, 2015 and 2018. This longitudinal dataset contains travel time and distance information between all 250 m...
Article
Full-text available
In this article, we present temporally dynamic population distribution data from the Helsinki Metropolitan Area, Finland, at the level of 250 m by 250 m statistical grid cells. An hourly population distribution dataset is provided for regular workdays (Mon – Thu), Saturdays and Sundays. The data are based on aggregated mobile phone data collected b...
Article
Full-text available
Identifying users’ place of residence is an important step in many social media analysis workflows. Various techniques for detecting home locations from social media data have been proposed, but their reliability has rarely been validated using ground truth data. In this article, we compared commonly used spatial and spatio-temporal methods to dete...
Preprint
Full-text available
Cycling is integral for developing human-scale cities. To attract more people on bikes, urban planning and research share a need to better understand the spatial, temporal and social aspects of cycling. Novel data sources provide new opportunities to respond to this need, but understanding their strengths and weaknesses is crucial to facilitate the...
Article
Full-text available
Abstract National parks are key for conserving biodiversity and supporting people's well‐being. However, anthropogenic pressures challenge the existence of national parks and their conservation effectiveness. Therefore, it is crucial to assess how people perceive national parks in order to enhance socio‐political support for conservation. User‐gene...
Article
Full-text available
Parks and other green spaces are an important part of sustainable, healthy and socially equal urban environment. Urban planning and green space management benefit from information about green space use and values, but such data are often scarce and laborious to collect. Temporally dynamic geographic information generated by different mobile devices...
Article
Full-text available
This article explores the linguistic landscape of social media posts associated with specific geographic locations using computational methods. Because physical and virtual spaces have become increasingly intertwined due to location-aware mobile devices, we propose extending the concept of linguistic landscape to cover both physical and virtual env...
Article
Full-text available
Understanding worldwide patterns of human use of sites of international significance for biodiversity conservation is crucial for meeting global conservation targets. However, robust global datasets are scarce. In this study, we used social media data, mined from Flickr and Twitter, geolocated in Important Bird and Biodiversity Areas (IBAs) to asse...
Chapter
Full-text available
As new datasets and methods become more available and comparable for analyzing accessibility, and especially on multi-modal travel effects on different contour catchments, there is a growing need to further test and advance these studies. In this study, we used centrality measure calculations, more accurately closeness and degree centralities, to c...
Conference Paper
Full-text available
Social media contains a wealth of information about human activities in different places. This infor- mation can complement data collection efforts in resource-scarce fields such as nature conservation. However, social media platforms differ in popularity, content, and access to data, and the choice of platform may greatly affect the resulting analysis....
Conference Paper
The rise of Web 3.0 with decentralized governance of data and distributed computing powered by blockchain technologies is said to be the biggest invention since the Internet that will revolutionize not only data science and GIScience, but the whole society at large. Web 3.0 and the decentralized applications can dramatically increase our computatio...
Data
Comparable data on travel times and distances by different travel modes are frequently called for in land use and urban planning. Here, we present a dataset called Helsinki Region Travel Time Matrix 2018 that is available via Avoindata.fi service. The dataset is an updated version for year 2018 (the first version was published in 2014) and it pre...
Data
Comparable data on travel times and distances by different travel modes are frequently called for in land use and urban planning. Here, we present a dataset called Helsinki Region Travel Time Matrix 2018 that is available via Avoindata.fi service. The dataset is an updated version for year 2018 (the first version was published in 2014) and it prese...
Presentation
Illegal wildlife trade is one of the biggest threats to biodiversity conservation, as many species, including iconic species such as rhinoceros and elephant taxa, are targeted for their meat, trophies and other body parts. Over the last years, the scale and nature of illegal wildlife trade has changed dramatically. The Internet is becoming a major...
Poster
Full-text available
This poster presents the Geo-Python course (https://geo-python.github.io), which provides a free and open introduction to Python programming for geoscientists. Visit the course website for more information!
Article
Full-text available
Article impact statement: Machine learning can be used to monitor and assess the extent of illegal wildlife trade on social media platforms.
Article
Full-text available
Charismatic megafauna are arguably considered the primary attractor of ecotourists to sub-Saharan African protected areas. However, the lack of visitation data across the whole continent has thus far prevented the investigation of whether charismatic species are indeed a key attractor of ecotourists to protected areas. Social media data can now be...
Article
Full-text available
Protected area management and marketing require real-time information on visitors’ behavior and preferences. Thus far, visitor information has been collected mostly with repeated visitor surveys. A wealth of content-rich geographic data is produced by users of different social media platforms. These data could potentially provide continuous informa...
Article
Full-text available
Novel digital data sources allow us to attain enhanced knowledge about locations and mobilities of people in space and time. Already a fast-growing body of literature demonstrates the applicability and feasibility of mobile phone-based data in social sciences for considering mobile devices as proxies for people. However, the implementation of such...
Article
Full-text available
Can social media data be used as an alternative to traditional surveys to understand tourists´ preferences for nature-based experiences in protected areas? We explored this by comparing preferences for biodiversity obtained from a traditional survey conducted in Kruger National Park, South Africa, with observed preferences assessed from over 13,600...
Method
This release (http://doi.org/10.5281/zenodo.252612) provides a Python implementation of "Multi-temporal function-based dasymetric (MFD) interpolation method for mobile phone data" that is presented in the article: Järv, Tenkanen & Toivonen (2017) "Enhancing spatial accuracy of mobile phone data using multi-temporal dasymetric interpolation. Submitt...
Article
Full-text available
Background In this paper, we demonstrate why and how both temporality and multimodality should be integrated in health related studies that include accessibility perspective, in this case healthy food accessibility. We provide evidence regarding the importance of using multimodal spatio-temporal accessibility measures when conducting research in ur...
Poster
Full-text available
The use of social media has been rocketing during the past years and many platforms provide interfaces for mining the openly posted status updates and pictures. The wealth of social media data is both spatially and temporally sensitive as people are frequently sharing their geotagged experiences and thoughts with their friends/followers via social...
Poster
Full-text available
Recent research in the field of transport and urban studies has recognized the need for more realistic spatial accessibility modelling regarding the incorporation of temporal dimension and multimodality for planning smart and sustainable cities with customer driven services. Here, we present a generic framework for dynamic urban accessibility model...
Conference Paper
Full-text available
Background Understanding spatial patterns of accessibility is a key to understand the functionality of urban regions. Accessibility is a useful concept both for urban geographical analyses as well as practical urban planning, as it brings together the characteristics of transportation network and land use [1, 2]. Travel times between origins and de...
Data
Full-text available
Traffic and transport are one of the major causes of environmental problems in urban regions, and there is growing concern over carbon dioxide (CO2) emissions resulting from daily travel. Decision making and urban planning are expected to be supported with research based information about the current processes and patterns. Thus, the need for compa...
Data
Full-text available
Comparable data on travel times and distances by different travel modes are frequently called for in land use and urban planning. Here, we present a dataset called Helsinki Region Travel Time Matrix 2015 that is available via Helsinki Region Infoshare service. The dataset is an updated version for year 2015 (the first version was published in 2014)...
Article
Full-text available
Social media data have been extensively used in numerous fields of science, but examples of their use in conservation science are still very limited. In this paper, we propose a framework on how social media data could be useful for conservation science and practice. We present the commonly used social media platforms and discuss how their content...
Article
Accessibility and transportation possibilities are key factors influencing societal conditions and land use patterns in rural areas. Thus, information on the spatial patterns of accessibility and transportation can be of paramount importance in understanding regional differences in development, human livelihood and land use patterns. Analysing spat...
Article
Full-text available
Protected areas are one of the main tools for halting the continuing global biodiversity crisis caused by habitat loss, fragmentation and other anthropogenic pressures. According to the Aichi Biodiversity Target 11 adopted by the Convention on Biological Diversity, the protected area network should be expanded to at least 17% of the terrestrial wor...
Article
Comparable data on travel times and distances by different travel modes are frequently called for in land use and urban planning. Here, we present the creation process and the content of a newly opened dataset called the Helsinki Region Travel Time Matrix, made available via Helsinki Region Infoshare service. The dataset presents modelled travel ti...
Conference Paper
Full-text available
Technological developments have made it viable to collect movement data of humans, vehicles and animals. A low-cost GPS-based monitoring system was developed to collect movement data of riverboats in Western Amazonia. The pilot monitoring system provides real-time location and time data that indicate where and when the collaborating vessels are nav...
Conference Paper
Full-text available
This paper presents a public transport routing system suitable for complicated reachability analyses. Its main goals are to be flexible, easy to extend and allow creating public services where large numbers of people can calculate routes and examine reachability of different locations, with no server software or installation needed.
Data
Full-text available
Comparable data on travel times and distances by different travel modes are frequently called for in land use and urban planning. Here, we present a newly opened dataset called the Helsinki Region Travel Time Matrix, made available via Helsinki Region Infoshare service. The dataset presents modelled travel times and trip lengths by car, public tran...
Data
Comparable data on travel times and distances by different travel modes are frequently called for in land use and urban planning. Here, we present a newly opened dataset called the Helsinki Region Travel Time Matrix, made available via Helsinki Region Infoshare service. The dataset presents modelled travel times and trip lengths by car, public tran...

Network

Cited By

Projects

Projects (3)
Project
The project is part of the activities of the Accessibility Research Group that has been working at the department of Geosciences and Geography of the University of Helsinki since 2010. Our project studies the spatial patterns of accessibility in urban context by 1) developing tools and approaches for multimodal, temporally sensitive accessibility analyses and 2) applies these to understand the dynamic nature of the spatial accessibility patterns, using Helsinki region (Finland) as the study area. During the recent 1+ years, we have been increasingly interested in incorporating 3) realised mobility of people into accessibility analyses. More broadly, we are interested in development and application of quantitative spatial tools and novel data sources to support spatial planning.
Project
Social media data is being used increasingly in numerous fields of science, but examples of their use in conservation science are still limited. In this project, we aim to understand if and how geospatial social media data could be used to support conservation science and practice. In practice, we are working to: 1) Develop generic methods to extract information on human mobility patterns (where and when people are and who they are) and human-environment interactions (what they are doing and what are their preferences) from various social media platforms (Facebook, Twitter, Instagram, Flickr, Panoramio). 2) Dissect the potential of geosocial media data for conservation science and practice, with a particular focus on national parks and high biodiversity value sites in Finland and South Africa. 3) Gain understanding on threats and opportunities for conservation at a national to continental scale (Europe and Sub-Saharan Africa) using the developed methods.
Project
Thousands of wild animals and associated products are sold illegally and shipped daily around the world as food, pets, clothing, trophies, traditional medicines and religious charms. It’s part of the illicit trade in wildlife – a multibillion-dollar global criminal enterprise that is now booming online. The WILDTRADE project will quantify the global patterns and trends of the illegal wildlife trade. It will use big data mined from social media platforms to identify wildlife products that are traded, and what are the motives behind the trade. It will identify the global hotspots and marketplaces. There is currently a lack of data and determining illegal trade volumes and the availability of illegal wildlife products in the marketplace is highly complex.